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AI/Machine Learning Engineer
Contract: Charlotte, North Carolina, US span>
Salary Range: 60.00 - 65.00 | Per Hour
Job Code: 362540
End Date: 2025-07-03
Days Left: 26 days, 7 hours left
If you are looking for new opportunity, send your resume to pujan.motivaras@collabera.com
Job Description:
Client: Banking
Position: AI/Machine Learning Engineer
Duration: 12 months
Location: Charlotte, NC
Payrange: $60-65/hr
DayToDay Responsibilities:
- Design and build agentic AI frameworks that support autonomous task execution (LangChain, LangGraph, AutoGen, etc.)
- Integrate GenAI models (GPT-4, Claude, Gemini, LLaMA) with internal tools and systems like GitHub Copilot.
- Build and deploy Python-based Machine Learning models and services that support AI/LLM features in developer workflows.
- Collaborate with peer developers and tech leads (no customer-facing duties).
- Research and implement new AI/Machine Learning techniques to enhance solution effectiveness.
- Stay current on developments in GenAI, RAG, vector stores, orchestration frameworks, etc.
Required Skills:
- Agentic AI Experience – Practical experience with LangChain, AutoGen, LangGraph or similar frameworks; able to describe implementations and role.
- GenAI Integration Experience – Hands-on work with GPT-4, Claude, Gemini, or LLaMA including prompt engineering, API integration, chaining.
- Strong Python Skills – Ability to build, test, and deploy machine learning or AI pipelines using Python libraries (e.g., PyTorch, TensorFlow, scikit-learn).
- Software Engineering Mindset – Solid fundamentals around modular design, Git, APIs, unit testing, and working within a team of developers.
- Cloud & CI/CD Familiarity – Comfort with MLOps practices, containerization (Docker), and basic deployment pipelines is a strong plus.
- Excellent Communication – Able to document and explain technical work clearly to teammates and stakeholders.
Pujan Motivaras
Pujan.motivaras@collabera.com
Job Requirement
- AI
- Python
- GenAI
- Machine Learning
Reach Out to a Recruiter
- Recruiter
- Phone
- Pujan Motivaras
- pujan.motivaras@collabera.com
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