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<h3>Job Description</h3>
Job Description
About DataVisor: DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Position Overview:
We are looking for a motivated Entry-Level Data Scientist to join our Fraud Detection team. In this role, you will leverage your machine learning and data analysis skills to identify fraudulent activities, build predictive models, and uncover hidden patterns in large datasets. You will work closely with cross-functional teams to develop scalable solutions that enhance our fraud detection capabilities. This is a great opportunity to grow your skills in a fast-paced, data-driven environment while making a real impact in the fight against fraud.
Key Responsibilities:
<ul>
<li>Develop and deploy machine learning models for fraud detection and risk assessment.</li>
<li>Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns in transactional data.</li>
<li>Clean, preprocess, and analyze large datasets using Python and popular data science libraries (pandas, NumPy, scikit-learn, etc.).</li>
<li>Collaborate with engineering and business teams to integrate ML models into production systems.</li>
<li>Continuously monitor model performance and refine algorithms to improve accuracy.</li>
<li>Stay updated with the latest advancements in fraud detection techniques and ML/AI technologies.</li>
</ul>
Requirements
<ul>
<li>Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related quantitative field. Ph.D. degree is a plus. </li>
<li>Strong programming skills in Python and familiarity with data science libraries (NumPy, Pandas, scikit-learn, TensorFlow/PyTorch is a plus).</li>
<li>Solid understanding of machine learning algorithms (supervised/unsupervised learning, anomaly detection, classification, etc.).</li>
<li>Experience with SQL and data manipulation/analysis in large datasets.</li>
<li>Strong problem-solving skills and patience for deep-dive data exploration.</li>
<li>Prior internship or project experience in fraud modeling, risk analysis, or related fields is a plus.</li>
<li>Excellent communication skills and ability to work in a collaborative environment.</li>
</ul>
Nice to have
<ul>
<li>Familiarity with big data tools (Spark, Hadoop, Dask).</li>
<li>Knowledge of graph-based fraud detection techniques.</li>
<li>Experience with cloud platforms (AWS, GCP, Azure).</li>
</ul>
Benefits
PTO, Stock Option, Health Benefits

Data Scientist - Fraud Detection

<h3>Job Description</h3>
Job DescriptionCompany Description 
“Invented for Life” drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems.
Job Description 
As the Tech Lead E2E AI Machinery – Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions.&nbsp;
Key Responsibilities
<ul>
<li>Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling.&nbsp;</li>
<li>Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets.&nbsp;</li>
<li>Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem.&nbsp;</li>
<li>Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions.&nbsp;</li>
<li>Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability.&nbsp;</li>
<li>Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement.&nbsp;</li>
<li>Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence.&nbsp;</li>
</ul>
Qualifications 
Basic Qualifications:
<ul>
<li>Master’s degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems&nbsp;</li>
<li>10+ years of experience in software development and system engineering for autonomous driving or ADAS applications</li>
<li>Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments</li>
<li>Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques</li>
<li>Deep knowledge of AI frameworks such as TensorFlow and PyTorch</li>
<li>Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware</li>
<li>Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets</li>
<li>Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale</li>
</ul>
Preferred Qualifications:&nbsp;
<ul>
<li>Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems.&nbsp;</li>
<li>Proficiency in programming languages such as Python and C++.&nbsp;</li>
<li>Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS.&nbsp;</li>
<li>Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams.&nbsp;</li>
<li>Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology.&nbsp;</li>
</ul>
 Additional Information 
The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits.
Equal Opportunity Employer, including disability / veterans  &nbsp;
*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.&nbsp;

Technical Lead- End-to-End AI Machinery-Autonomous Driving Systems

<h3>Job Description</h3>
Job DescriptionCompany Description 
Our Mission
At Palo Alto Networks® everything starts and ends with our mission:
Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.
Who We Are
We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.
As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!
At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.
Job Description 
Your Career
We are seeking a Senior Principal Engineer (Tech Lead) to lead the design, and delivery of high impact projects in Gen AI space. You will play a pivotal role in advancing our AI technology, leveraging Generative AI, LLMs, and ML Ops to drive impactful solutions. As a technical leader, you will lead high-impact projects, mentor cross-functional teams, do stakeholder management and contribute to the strategic direction of our AI-driven initiatives.
Your Impact
<ul>
<li>
You will work in a fast paced team to create and deliver new product and mission features that many customers use on a daily basis
</li>
<li>
You will be part of the team that is leading and driving industry technology evolution in and creating a positive impact on business
</li>
<li>
Design and development of workflow frameworks using AI/ML, with result collection and visualization, monitoring tools
</li>
<li>
Creation and delivery of training materials
</li>
</ul>
At Palo Alto Networks, Sr Principal Engineers are:
<ul>
<li>
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices.
</li>
<li>
Visionaries who deliver on critical business needs and are recognized across the company as go-to engineering resources on given domains.
</li>
<li>
Role models and mentors who exemplify the best of Palo alto Networks culture. They do the right thing even when it’s hard, treat challenges as a chance to learn and provide honest opinions so the team can improve
</li>
<li>
Leaders who can communicate cogently with hands-on engineers as well as executives
</li>
</ul>
Qualifications 
Your Experience&nbsp;
<ul>
<li>
M.S. or Ph.D degree in Computer Science, Mathematics, Statistics or related field or equivalent military experience required
</li>
<li>
15+ years industry experience in Machine Learning techniques and data analytics
</li>
<li>
10+ experience in design, algorithms and data structures - Expertise with one or more of the following languages is must - Java, Python, Golang
</li>
<li>
Proven leadership skills with an ability to deliver under tight deadlines.
</li>
<li>
Proven ability to collaborate with many cross-functional teams including Product Management and Design teams with an emphasis on end-to-end delivery
</li>
<li>
Proven track record in solving difficult real world problems by applying Machine Learning techniques
</li>
<li>
Experience with deep learning frameworks such as PyTorch and TensorFlow, NLP, Large Language Models, Generative AI, Langchain, Transformer models or related areas is a big plus
</li>
<li>
Thorough understanding of ML Ops best practices, ability to design, test, measure algorithms/models and orchestrate. Experience working with Google Vertex AI platform will be a plus
</li>
<li>
Excellent communication skills with the ability to influence at all levels of the organization
</li>
<li>
A self driven individual contributor and an excellent team player
</li>
</ul>
 Additional Information 
The Team
We are on a mission to build the industry's best Security large language model.
Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before.
We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $170,000 - $270,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found&nbsp;here.
#LI-TD1
Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at&nbsp;&nbsp;<a href="mailto:accommodations@paloaltonetworks.com" target="_blank">accommodations@paloaltonetworks.com</a>.
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.

Sr Principal Machine Learning Engineer (GenAI/LLM)

<h3>Job Description</h3>
Job DescriptionCompany Description 
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Job Description 
We are seeking a Director, Software Engineering to lead the technology strategy, planning, design, and development of key initiatives within the Marketplace domain of Experian Consumer Services. You are an engineer at heart—someone with a proven track record of building cloud-native platforms, working across a broad range of technologies, and evolving from hands-on engineering roles into a well-rounded, strategic leader. You will collaborate closely with Product Managers, Architects, and cross-functional engineering teams to deliver high-quality, scalable, cloud-based solutions as we build our next-generation Marketplace platform.
Responsibilities:
<ul>
<li>Lead the sizing, architecture, design, development, and testing of key programs within Marketplace Engineering.</li>
<li>Guide the development of technical solutions that are scalable, high-performing, and built with a strong emphasis on quality and maintainability.</li>
<li>Lead a globally distributed team of engineers, driving hiring, onboarding, training, and performance management while fostering continuous feedback, skill development, and career growth to build and retain top talent.</li>
<li>Collaborate with business stakeholders, product management, and the PMO to align on product roadmaps and quarterly planning.</li>
<li>Ensure stable and efficient production operations with a focus on uptime, performance, and reliability.</li>
<li>Be hands-on when needed, encouraging innovation and experimentation with emerging technologies to drive platform evolution.</li>
<li>Represent engineering in executive forums, providing clear and concise updates on progress, risks, and strategic initiatives.</li>
<li>Oversee engineering budgets, resource planning, and vendor relationships to optimize delivery and operational efficiency.</li>
<li>Ensure compliance with security, privacy, and regulatory standards across all engineering initiatives.</li>
<li>Define and track key performance indicators (KPIs) to measure engineering effectiveness, delivery velocity, and system health.</li>
</ul>
Qualifications 
<ul>
<li>Bachelor's degree or above in Computer Science or a related field, or equivalent practical experience.</li>
<li>10+ years of experience in software engineering, with at least 5 years in a senior leadership role managing teams.</li>
<li>Proven experience designing and delivering scalable, cloud-native systems using containerized environments and orchestration tools (e.g., Kubernetes, ECS).</li>
<li>Deep understanding of microservices architecture, event-driven systems, data pipelines, and modern backend frameworks.</li>
<li>Familiarity with Server-Driven UI (SDUI) patterns and GraphQL APIs for dynamic, flexible front-end integration.</li>
<li>Strong grasp of software design principles, architecture patterns, and engineering best practices, including test-driven development and CI/CD.</li>
<li>Hands-on experience with security-first design and implementation in cloud environments.</li>
<li>Demonstrated ability to build, lead, and inspire geographically distributed engineering teams.</li>
<li>Passion for innovation, mentoring, and fostering a culture of learning and excellence.</li>
</ul>
 Additional Information 
Benefits/Perks:
<ul>
<li>Great compensation package and bonus plan</li>
<li>Core benefits including full medical, dental, vision, and matching 401K</li>
<li>Flexible work environment, ability to work remote, hybrid or in-office</li>
<li>Flexible time off including volunteer time off, vacation, sick and 12-paid holidays</li>
<li>Explore all our exciting benefits here: <a href="https://yourexperianbenefits.com/cand-index.html" target="_blank">https://yourexperianbenefits.com/cand-index.html</a></li>
</ul>
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. Innovation is an important part of Experian's DNA and practices, and our inclusive workforce allows everyone to succeed and bring their whole self to work. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
#LI-Remote

Director, Software Engineering

<h3>Job Description</h3>
Job Description
Capio Group is looking for an experienced Software Engineer! Full-time employee - Remote Salary: $120,000 - $135,000 About Us: Capio Group is a California-based Information Technology Consulting firm serving the public sector since 2010. We assist the Government in delivering large, complex systems and solutions. Capio Group is a small, but quickly growing firm that mixes good ideas, with great people, to achieve extraordinary results for our clients. We offer the salary and benefits of the bigger companies, with the added bonus of a flexible workplace and a great work-life balance. Scope of Work: Capio Group is looking for an experienced and qualified Software Engineer to augment and support current client staff in the implementation and Maintenance &amp; Operations (M&amp;O) of the Continuum-EHR (Electronic Health Record) solution. This role involves providing critical IT services while ensuring strict adherence to confidentiality standards and compliance with all applicable laws and regulations. The Software Engineer will be responsible for tasks including but not limited to:
<ul>
<li>Prepare and deliver written Monthly Status Reports (MSR). MSRs will include the following information, but not limited to:
<ul>
<li>The background, scope, and purpose of services,</li>
<li>A summary of the work completed during the reporting period, showing actual vs. planned.</li>
<li>Highlighted tasks that are work in progress, behind schedule, adopted remediation plans, and overall impact on the project.</li>
<li>The status of the overall engagement and all phases/ projects, including discussion of risks, problems encountered, solutions, and proposed solutions.</li>
<li>The tasks expected to be completed in the next reporting period. Ad hoc reporting as required.</li>
</ul>
</li>
<li>Present and deliver written and verbal weekly/regular status reports that include an&nbsp;
<ul>
<li>Overview of upcoming activities,&nbsp;</li>
<li>Schedule,&nbsp;</li>
<li>Findings and&nbsp;</li>
<li>Corrective action planning.</li>
</ul>
</li>
<li>Plan, develop, and implement an overall application architecture for both on-premise and cloud solutions, including online transactions, online analytical processing, data warehousing, data lakes, and monitoring and notification tools.</li>
<li>Plan, develop, and implement data migration solutions for moving data from an on-premises environment to a cloud environment.</li>
<li>Establish a framework for API / Service-based development by creating and maintaining a technical playbook for developers based on API, Service, and Event-Driven architecture.</li>
<li>Design and implement security best practices. Provide ability to audit the data processes. Implement data protection in regard to Protected Health Information (PHI).</li>
<li>Act as a Team Lead and coach Team Members on implementing best practices for software development.</li>
<li>Prepare and deliver all documents and artifacts required for client staff to perform Agile Methodology and Enterprise Architecture. The artifacts should Include the following:
<ul>
<li>Knowledge Transfer Plan</li>
<li>Training Materials for Trainers and Staff</li>
<li>Facilitated “Show and Tell” Sessions</li>
<li>Hands-On Collaboration Sessions</li>
<li>Peer Reviews</li>
<li>Advisory Support</li>
</ul>
</li>
<li>Develop and submit a Final Report. The report shall detail Contract activities, accomplishments, a budget summary, lessons learned, and suggestions for improvement.</li>
</ul>
Mandatory Experience:
<ol>
<li>Within the last fifteen (15) years, must have a minimum of six (6) years of experience in electronic data processing systems study, design, and programming.</li>
<li>Within the last fifteen (15) years, at least four (4) years of electronic data processing systems study, design, and programming experience must have been in a lead capacity.</li>
<li>Possession of a bachelor’s degree in an IT- related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis. A copy of the degree must be provided upon request.</li>
<li>Within the last fifteen (15) years, must have a minimum of six (6) years of experience C# .NET</li>
<li>Within the last fifteen (15) years, must have a minimum of four (4) years of experience in any combination of Dynamics CRM and / or Power Apps programming.</li>
<li>Within the last fifteen (15) years, must have a minimum of three (3) years of experience migrating from on-premises to cloud utilizing industry best practices.</li>
<li>Must be able to provide a minimum of two (2) end client references (manager/supervisor level) from previous engagements performed within the last fifteen (15) years, providing services that are similar in nature and scope, and type of service.</li>
</ol>
Desirable Experience:
<ol>
<li>Within the last fifteen (15) years, at least three (3) years Data protection and security best practices including understanding of Protected Health Information (PHI).</li>
<li>Within the last fifteen (15) years, at least three (3) years’ experience with Integration toolsets and APIs.</li>
<li>Within the last fifteen (15) years, at least five (5) years’ experience in any combination listed below:
<ul>
<li>Leading Technical Teams in programming application solutions. And / Or</li>
<li>Coaching and Training within the adopted cloud solutions and consulting/peer current on-premises framework.</li>
</ul>
</li>
<li>Within the last fifteen (15) years, minimum of two (2) or more years of experience in EHR &nbsp;(Electronic Health Record) integration.</li>
<li>Within the last fifteen (15) years, at least three (3) years’ experience in Azure Cloud experience.</li>
</ol>
Equal Opportunity Employer: &nbsp;At Capio Group, our employees are our greatest asset and diversity, equity, and inclusion are at the core of who we are. Our commitment to these values is unyielding and is central to our mission and to our impact. We know that having diverse perspectives helps to generate better ideas to solve the complex problems of our diverse clients and the communities they serve.
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Software Engineer

<h3>Job Description</h3>
Job Description
At Continua, we've built an AI agent that users can invite into group conversations to make planning, coordination, and information retrieval effortless. It's early days for this specific Continua product, but we think we're on to something. 
Try adding 332-286-3377 to group texts to kick its tires! We've seen extremely rapid growth over the last few months, and are looking for someone who can help us improve the quality of our agent experience and scale to the next level.
What you'll do:
You'll work on building and improving the best LLM group chat experience there is. This includes:
<ul>
<li>
Fine-tuning models to boost conversational quality and improve scalability.
</li>
<li>
Owning new ideas for engaging features and working across the stack (i.e. not just in Jupyter notebooks) to take them from concept to production.
</li>
<li>
Identifying novel ways to build a "memory" which leads to a personalized and unique experience for our users.
</li>
<li>
Leading technical decision making to find solutions which are both innovative and practical.
</li>
</ul>
Who you are:
You're an experienced (Senior/Staff) machine learning engineer with broad knowledge and skills. You're detail-oriented when it matters to make sure things get done right, but also know how to strike the balance between speed and perfection in a fast-moving startup environment. 
You:
<ul>
<li>
Have experience fine-tuning LLMs for both generative and discriminative use cases.
</li>
<li>
Have created datasets for such fine-tuning (human-labeled or synthetic).
</li>
<li>
Know the pitfalls and tricks for building with LLMs
</li>
<li>
Are experienced writing Python, and using an ML framework such as Pytorch, Jax, or TensorFlow.
</li>
<li>
You know how to work independently to handle ambiguity.
</li>
<li>
Have a PhD in Machine Learning (or a Master’s or Bachelor’s with exceptional industry experience).
</li>
<li>
Have at least a few years of experience working in fast-moving startups.
</li>
<li>
Are based in Seattle, San Francisco, or New York.
</li>
</ul>
A little about us:
Our team is a fantastic bunch of accomplished engineers and researchers from Google, Slack, Disney, and AI startups. We're pretty clued in on the technology side and have a strong vision of how the transformative technology of the last few years along with our own secret sauce (not just a ChatGPT wrapper) can help a huge number of people.
Compensation &amp; Benefits:
We compensate with a competitive salary and equity, health benefits, 401k, and the opportunity to help shape the future of AI agents during this transformative moment in computing history!
To apply:
Toapply, please complete the application and answer the short questions that follow. The more you answer, the better. If something doesn’t apply to you, feel free to say “N/A.”
We welcome referrals! If you know someone exceptional for this role, please email us at <a href="mailto:jobs@continua.ai" target="_blank">jobs@continua.ai</a>.

Senior Machine Learning Engineer

<h3>Job Description</h3>
Job DescriptionCompany Description 
For More Open Positions Visit us at: <a href="http://recruiting.woongjininc.com/" target="_blank">http://recruiting.woongjininc.com/</a>
 Our Mission WOONGJIN, Inc. is a rapidly growing team who provides a range of unique, exceptional, and enhanced services to our clients. We have a strong moral code that includes the service of goodness without expectations of reward. We are motivated by the sense of responsibility and servant leadership.
Job Description 
This position will be responsible for supporting the corporate network infrastructure and will require a majority on-site presence.&nbsp;
<ul>
<li>Expert understanding of Layer 2/Layer 3 networking</li>
<li>Ability to design and implement Cisco network infrastructure</li>
<li>Technically proficient at building highly resilient networks</li>
<li>Strong understanding of network management platforms</li>
<li>Solid understanding and ability to troubleshoot wireless networks</li>
<li>Excellent customer-facing skills and ability to cooperatively work with peers</li>
<li>Excellent problem-solving and troubleshooting abilities</li>
<li>Strong understanding in peer team areas such as servers and desktop support</li>
</ul>
Salary: $55 - $65 /hr.&nbsp;&nbsp;
Qualifications 
<ul>
<li>Bachelor's degree or equivalent experience</li>
<li>10+ years supporting network infrastructure in large scale corporate environments</li>
<li>Expertise in routing, switching, and wireless.</li>
<li>Ability to work independently and be self-directed</li>
<li>Track record of going beyond the bare minimum requirements</li>
</ul>
 Additional Information 
All your information will be kept confidential according to EEO guidelines.
&nbsp;*** NO C2C ***

Sr.Network Engineer

<h3>Job Description</h3>
Job DescriptionSalary: $24 - $38 
IT Service Technician II &amp; III
 
FUSE3 is a Managed Service Provider in the Sacramento region. We pride ourselves on solving problems for small to mid-size businesses.
We are always accepting resumes and inquiries from dedicated people who want to work in a fast-paced industry for a company with a family culture.
<ul>
<li> Are you dedicated to the success of the team?</li>
<li> Do you have an intentional approach to big picture problem-solving? </li>
<li> Do you genuinely enjoy helping others succeed?</li>
<li> Are you a people person?</li>
<li> Are you always looking to learn and grow?</li>
</ul>
 
As a Managed Service Provider, we are interested in people with a wide range of skill sets and experience. If you identify with these traits, we want to talk to you!
 
Primary Duties and Responsibilities
<ul>
<li> Answering Phones</li>
<li> Triage incoming support emails</li>
<li> Helpdesk Tickets
<ul>
<li> End user focused</li>
<li> Workstation focused</li>
<li> Some server functions</li>
<li> Escalations from Service Tech 1</li>
</ul>
</li>
<li> Accurate time keeping on all tickets</li>
<li> RMM tickets
<ul>
<li> Workstation focused</li>
</ul>
</li>
<li> Anti-Virus troubleshooting and support</li>
<li> End User Adds and Disables</li>
<li> VoIP Admin (System\Call flow)</li>
<li> Email Security Support</li>
<li> Office 365 Administration</li>
<li> Workstation set up and deployment</li>
<li> Perform file level restores</li>
<li> Some Server Software updates</li>
<li> Create and maintain technical documentation</li>
<li> Onsite work</li>
</ul>
 
Experience and Skills
<ul>
<li> Strong customer service, written and verbal communication skills.</li>
<li> 3 or more years troubleshooting Windows PCs hardware, operating systems, Microsoft Office and other common applications.</li>
<li> Intermediate knowledge of and experience with networking.</li>
<li> Must be an excellent team player who can also work independently, plan, organize and communicate effectively through phone, email, or in person.</li>
<li> Previous MSP experience highly preferred.</li>
<li> Previous ConnectWise (Manage and Automate) experience highly preferred.</li>
<li> Position requires the ability to lift up to 50 pounds, maneuver under desks, and be able to cable new workstation arrangements/setups.</li>
<li> Driver's license and appropriate insurance required. Position will be based in Fair Oaks, CA and may require travel to its surrounding areas.</li>
<li> Willingness to participate in On Call program.</li>
</ul>
 
We offer competitive compensation including medical, dental, vision, PTO, 401k, etc. If you feel you possess the traits listed above reply to this post.

IT Service Technician II & III

<h3>Job Description</h3>
Job Description
SYSTEMS ADMINISTRATOR
STATUS: Fulltime 
FLSA: Exempt
REPORTS TO: Dry Creek Gaming Commissioners
SUPERVISES: N/A 
 
WORKING HOURS:
This is a salaried exempt position. The incumbent is expected to work the necessary hours to meet the needs of a 24-hour establishment.
 
SUMMARY:
The Systems Administrator is responsible for the administration, maintenance, troubleshooting, and performance optimization of all IT systems, servers, network equipment, and end-user devices. Operating independently without direct daily supervision, the Systems Administrator must be highly self-motivated, proactive, and committed to maintaining the security, integrity, and performance of the organization's critical systems within the Tribal Gaming environment. This role supports enterprise infrastructure, ensures system resilience, and provides technical assistance to staff, while safeguarding compliance with internal policies and regulatory requirements.
 
ESSENTIAL DUTIES AND RESPONSIBILITIES:
<ol>
<li>Administer, monitor, and maintain physical and virtual servers, storage arrays (SAN/NAS), network devices (routers, switches, firewalls), and backup systems.</li>
<li>Install, configure, troubleshoot, and upgrade hardware and software, including servers, desktops, laptops, mobile devices, and network appliances.</li>
<li>Manage Microsoft Active Directory, Group Policies, user accounts, email (Microsoft Exchange), DNS, DHCP, file shares, and related infrastructure.</li>
<li>Implement and monitor system security measures, including antivirus software, firewalls, and patch management.</li>
<li>Provide Tier 2/3 desktop and application support for enterprise systems and respond to Help Desk escalations in a timely, customer-focused manner.</li>
<li>Configure and troubleshoot LAN/WAN connectivity, including Cisco network equipment in a high-availability setting.</li>
<li>Perform regular system performance checks, preventive maintenance, and maintain detailed documentation of configurations, incidents, resolutions, and changes.</li>
<li>Support and maintain Genetec™ SecurityDesk® surveillance system, physical access control systems, and related infrastructure.</li>
<li>Administer and troubleshoot card programming systems, fingerprint scanning systems, and other departmental systems.</li>
<li>Assist with network design, cabling infrastructure projects, hardware installations, and building pulls.</li>
<li>Coordinate and communicate with external vendors to escalate and resolve issues.</li>
<li>Lead system upgrades, migrations, and hardware refresh initiatives.</li>
<li>Ensure compliance with Tribal Gaming regulatory standards, cybersecurity best practices, and internal IT policies.</li>
<li>Maintain confidentiality and ensure data protection across all IT operations.</li>
<li>Document all IT tasks using iView™ iTrak® or other designated tracking systems.</li>
<li>Participate in after-hours support, on-call rotations, and critical incident responses as needed.</li>
<li>Performs other related duties as assigned.</li>
</ol>
QUALIFICATIONS:
<ol>
<li>Minimum of an Associate's Degree in Computer Science, Information Technology, or related field; or equivalent combination of education and four (4) years of professional experience.</li>
<li>Professional certifications preferred (e.g., CompTIA A+, Network+, Security+, Microsoft Windows Server Hybrid Administrator Associate, Microsoft 365 Certified: Modern Desktop Administrator Associate, Cisco CCNA).</li>
<li>Minimum three (3) years of progressive experience in IT systems administration, desktop support, and network management.</li>
<li>Strong proficiency with Microsoft Windows Server environments, Active Directory, VMware or Hyper-V virtualization, Microsoft Office applications, and backup technologies.</li>
<li>Knowledge of Cisco networking equipment and Windows-based networking principles (TCP/IP, DNS, DHCP, VLANs).</li>
<li>Strong technical troubleshooting, analytical, and organizational skills.</li>
<li>Ability to work independently, prioritize tasks, and meet deadlines without direct supervision.</li>
<li>Excellent interpersonal, written, and verbal communication skills.</li>
<li>High attention to detail and commitment to producing accurate, thorough work.</li>
<li>Must maintain a professional appearance and demeanor at all times.</li>
<li>Must maintain strict confidentiality regarding all organizational, gaming, and personnel information.</li>
<li>Must be able to pass a prescreening test. </li>
</ol>
EDUCATION AND CERTIFICATIONS:
<ol>
<li>BS/BA Degree in Computer Science strongly preferred or equivalent combination of education and experience is required. </li>
<li>Industry-recognized certifications preferred (e.g., Microsoft, CompTIA, Cisco certifications).</li>
<li>Ongoing technical training and professional development encouraged.</li>
</ol>
PHYSICAL, INTELLECTUAL, AND ENVIRONMENTAL DEMANDS:
<ol>
<li>Must be able to maneuver in all areas of the property including data closets, server rooms, and administrative offices.</li>
<li>Must be able to lift, carry, push, and pull up to 50 pounds regularly.</li>
<li>Must be able to work from ladders, lifts, or heights up to 35 feet.</li>
<li>Must possess manual dexterity to operate computer hardware, hand tools, and testing equipment.</li>
<li>Must be able to bend, reach, kneel, stoop, and climb.</li>
<li>Must be able to sit, stand, or walk for extended periods of time.</li>
<li>Must be able to tolerate areas containing secondary smoke.</li>
<li>Must possess clear vision and hearing and respond to auditory and visual cues.</li>
<li>Must be able to work calmly, professionally, and effectively under pressure in a fast-paced environment.</li>
</ol>
LICENSES, CERTIFICATES, AND REGISTRATIONS:
<ol>
<li>A valid driver's license with an acceptable driving record as determined by the Tribe's insurance carrier is required.</li>
<li>Must be able to obtain and maintain a gaming license from the Dry Creek Gaming Commission.</li>
</ol>
WORK ENVIRONMENT:
<ol>
<li>Fast-paced, highly dynamic environment within a Tribal Gaming facility.</li>
<li>Must be flexible to work varying shifts, weekends, holidays, and on-call hours as required.</li>
<li>Must manage multiple priorities while maintaining attention to detail and quality.</li>
<li>Requires professionalism and courtesy in interactions with diverse groups of employees and guests.</li>
</ol>
 
Dry Creek Gaming Commission, in conjunction with Human Resources, reserves the right to make changes to this job description at any time. 
A PRE-EMPLOYMENT DRUG TEST, FINGERPRINT, AND BACKGROUND CHECK IS REQUIRED
 Job Posted by ApplicantPro

SYSTEMS ADMINISTRATOR

<h3>Job Description</h3>
Job Description
PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. 
This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. While we gather in person a few times a year, this role is designed to remain remote long-term. You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually.
Job Summary
We are looking for a Senior Data Scientist to lead the development of scalable Generative AI pipelines that process raw data and generate context-aware results to power Plum’s AI-driven products. You will play a central role in shaping our GenAI platform, working across the full ML lifecycle—from ingestion and retrieval to generation, evaluation, and deployment.
This role combines deep expertise in machine learning with hands-on experience in building production-grade systems. You’ll collaborate closely with various cross functional teams and operate in a fast-paced environment where innovation, autonomy, and ownership are key.
Key Responsibilities
<ul>
<li>Design and architect end-to-end Generative AI pipelines using LLMs to process and generate context-aware results.</li>
<li>Integrate open-source and proprietary LLMs (e.g., GPT, LLaMA) via APIs and custom orchestration.</li>
<li>Build and optimize workflows using frameworks such as LangChain </li>
<li>Design and implement RAG (Retrieval-Augmented Generation) architecture to inject relevant, contextual data into generation prompts.</li>
<li>Develop robust methods to evaluate and compare LLM outputs based on relevance, personalization, and factual accuracy.</li>
<li>Build automated and scalable LLM evaluation pipelines using embedding-based similarity, scoring metrics, and human-in-the-loop feedback.</li>
<li>Implement monitoring, observability, and logging for GenAI workflows to ensure reliability in production.</li>
<li>Collaborate with cross-functional teams to integrate generative outputs into client-facing applications.</li>
</ul>
Requirements
<ul>
<li>Master’s degree in Computer Science, Engineering, Physics, or a related technical field.</li>
<li>5+ years of experience developing and deploying machine learning pipelines in production.</li>
<li>2+ years of experience building Generative AI or LLM-based applications.</li>
<li>Strong programming skills in Python, with hands-on experience in ML/AI frameworks (e.g., LangChain, Transformers, LLM APIs).</li>
<li>Deep understanding of LLM evaluation, prompt engineering, and text generation quality metrics.</li>
<li>Experience designing and implementing RAG architectures.</li>
<li>Hands-on experience with Databricks, MLflow, or similar platforms.</li>
<li>Experience with cloud infrastructure (AWS preferred) and MLOps practices for deploying and maintaining models in production.</li>
<li>Strong problem-solving skills and ability to lead through ambiguity.</li>
<li>Excellent communication and documentation habits.</li>
</ul>
Preferred Qualifications
<ul>
<li>Prior experience using Generative AI in Fintech, Sales Tech, or Marketing Tech domains.</li>
<li>Experience with agentic frameworks such as LangGraph, AutoGPT, or CrewAI.</li>
<li>Familiarity with fine-tuning or custom instruction tuning of LLMs.</li>
<li>Understanding of data privacy and compliance implications when working with client data and GenAI systems.</li>
</ul>
Benefits
<ul>
<li>A fast-paced, collaborative startup culture with high visibility.</li>
<li>Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. </li>
<li>Opportunity to make a meaningful impact in building a company and culture. </li>
<li>Equity in a financial technology startup. </li>
<li>Generous health, dental, and vision coverage for employees and family members + 401K.</li>
<li>Eleven paid holidays and unlimited discretionary vacation days.</li>
<li>Competitive compensation and bonus potential.</li>
</ul>
California: Salary range is $140,000-$195,000
The range displayed on each job posting reflects the minimum and maximum target for new hire salaries. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package.

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