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Machine Learning/AI Engineer (W2)

Voto Consulting LLCHartford, CT🇺🇸United StatesPosted 15 Sept 2026

Why This Role Stands Out

This Machine Learning/AI Engineer role offers an exciting opportunity to work hands-on with cutting-edge AI and generative AI solutions, contributing directly to impactful business problem-solving. You'll thrive here if you possess a strong foundation in AI/ML, experience with LLMs and agentic frameworks, and a passion for developing and deploying innovative AI use cases. Apply now to join a dynamic team and advance your career in the rapidly evolving field of artificial intelligence.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Hartford, CT, United States
Posted
Yesterday
AWSMLOpsMachine LearningAgileAzureGenerative AIGoogle CloudJenkinsLLMPython

Job Description

Title: Machine Learning/AI Engineer

Location: Hartford, CT; Atlanta, GA; St. Paul, MN

Duration: 6-12 Months

W2 Role | Onsite Role

Visa: No H1b


Job Description
Support AI and emerging technology initiatives across business and technology teams.
Work hands-on with AI/ML, Generative AI, and agentic AI solutions.
Help develop and prototype AI use cases that solve real business problems.
Evaluate and apply foundation models, LLMs, and modern AI frameworks.
Contribute to RAG, memory systems, tool use, and function-calling patterns.
Support multi-agent workflows and autonomous AI capabilities.
Assist with AI experimentation, proof-of-concepts, and solution testing.
Partner with data, engineering, and business teams to move AI solutions toward production.
Support MLOps, AI Ops, deployment, monitoring, and CI/CD practices.
Communicate technical AI concepts clearly to both technical and non-technical audiences.
Promote responsible AI practices, including ethics, governance, and bias mitigation.
Required Skills
Bachelor s degree in computer science, STEM, or equivalent experience.
Experience in AI/ML, Generative AI, or advanced analytics.
Strong understanding of machine learning fundamentals and model evaluation.
Hands-on exposure to LLMs, prompt engineering, fine-tuning, and multimodal AI.
Familiarity with agentic frameworks such as LangChain, Strands, or Crew AI.
Experience with vector databases, RAG, and tool/function calling.
Exposure to cloud AI platforms such as AWS Bedrock; Azure or Google Cloud Platform is a plus.
Understanding of MLOps, AI Ops, and CI/CD for AI solutions.
Strong analytical, problem-solving, and communication skills.
Ability to work well in agile, cross-functional teams.
Hands on with Python and ReactJS
Mandatory Skillsets: Python, OpenAI with LLM, ReactJS, NodeJS, Jenkins, GitHub, Claude, Copilot

Thanks & Regards.

Aviral Sapra

Voto Consulting LLC

Direct #:

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