Hudson Information Technology and Manpower Services Logo

Hudson Information Technology and Manpower Services

GENAI / MACHINE LEARNING AI / DATA Scientist

Posted 5 Days Ago
In-Office or Remote
3 Locations
Expert/Leader
In-Office or Remote
3 Locations
Expert/Leader
Develop prototypes, PoCs, and MVPs for GenAI solutions. Apply deep learning and ML principles using Python, Hugging Face, LangChain, OpenAI API, TensorFlow/Keras/PyTorch, and cloud model services. Work with multi-modal data and intelligent agent tools. Be self-motivated, collaborative, and focused on solving hard AI/GenAI problems.
The summary above was generated by AI

Hello,

I hope this message finds you well.

I’m reaching out to share an exciting opportunity that I believe aligns with your experience and expertise in the field for my client. If you are interested, I’d love to connect and share more details.

GenAI Engineer

100% Remote

**NO H1B Candidates** REST ALL CAN APPLY **

Only W2 Candidates

Experience - 10+ Years

Job description:-

Skill sets: Ability to develop prototypes, PoCs, MVPs using one or more of the following,

AI/ML Knowledge: Strong foundation in AI, deep learning, and machine learning principles.

Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.

Deep Learning Frameworks: Experience with TensorFlow, Keras, and PyTorch.

Cloud Platforms: Familiar with Google Model Garden, Amazon Bedrock, and Nvidia Nim.

Multi-Modal Data and AI Tools: Experience with multi-modal data and intelligent agent-based tools.

Mindset: Self-motivated individual with a passion for solving hard problems using AI/GenAI. Must have collaborative and an innovative mindset.

Best regards,

Similar Jobs

5 Hours Ago
Easy Apply
Remote
Easy Apply
209K-269K Annually
Senior level
209K-269K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Lead and grow a team of 2-3 PMs owning agent tooling and workflows. Define vision and roadmap for agent experience, drive AI-first automation, partner with Operations and cross-functional teams, deliver scalable systems, and measure impact through analytics and experimentation.
Top Skills: Agent ToolingAIAnalyticsAutomationChat SystemsExperimentationPhone SystemsWorkflow Systems
20 Hours Ago
Easy Apply
In-Office or Remote
United States
Easy Apply
180K-200K Annually
Senior level
180K-200K Annually
Senior level
Artificial Intelligence • Hardware • Healthtech • Software
The Senior Data Platform Engineer will manage and develop the data infrastructure on Databricks and AWS, ensuring scalable and efficient data capabilities while collaborating across teams.
Top Skills: AWSDatabricksKafkaKinesis
20 Hours Ago
Remote
204K-276K Annually
Expert/Leader
204K-276K Annually
Expert/Leader
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Lead design and implementation of shared, reusable data models and a certified metrics layer. Standardize pipeline patterns, CI/CD, and governance; modernize orchestration and observability; partner with Data Science, Infrastructure, and Product to deliver reliable analytics pipelines and enable AI-native data development.
Top Skills: AirflowAtlanDatabricksDatabricks Metric ViewsDbtDbt MetricflowDelta LakeGreat ExpectationsMonte CarloPythonSpark SqlSQLUnity Catalog

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account