AI and ML Engineer

Role :  Data Scientist(AI/ML Engineer / GenAI Engineer)

Location : Auburn Hills, MI(onsite)

NOTES:

This Position is only available in W2 and 1099 Payrolls

Role :  AI/ML Engineer / GenAI Engineer

Location : Auburn Hills, MI(onsite)

Duration : 6+ Months

Job Description:

Required Skills & Qualifications – Mandatory

• Strong hands-on experience building and deploying ML solutions on AWS
• Proven experience with LLMs, including OpenAI models/APIs and current AI/LLM model families
• Hands-on experience building Agentic AI systems, including multi-agent orchestration, tool use, and autonomous workflows
• Experience building RAG systems, including embeddings, vector databases, and semantic retrieval
• Strong understanding of data exploration, data quality, feature engineering, and their impact on model outcomes
• Strong coding skills in Python and Java
• Experience building front-end interactive applications using React, TypeScript, or Java-based UI
• Hands-on experience with Docker/containers and GPU compute for training and inference
• Experience building and maintaining CI/CD pipelines for ML/AI workloads
• Working knowledge of DevSecOps practices for ML pipelines
• Experience supporting production ML/AI systems, including monitoring and incident response
• Experience with model governance and monitoring, including drift detection, performance tracking, and retraining/tuning
• Experience designing Human-in-the-Loop (HITL) and Human-on-the-Loop (HOTL) workflows
• Strong judgment in selecting AI/LLM vs. traditional ML/statistical approaches
• Experience defining measurable model testing, evaluation, and quality criteria
• Experience writing automated test cases, including AI-assisted test coverage generation
• Strong understanding of AI governance, legal, security requirements, and guardrails
• Familiarity with PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar AI/RAG frameworks

Preferred Qualifications

• Working knowledge of Google Cloud Platform and Azure ML/AI services
• Experience with Responsible AI tools, including bias/fairness testing and model explainability
• AWS ML/AI or relevant cloud certifications

Job Description:

Required Skills & Qualifications – Mandatory

• Strong hands-on experience building and deploying ML solutions on AWS
• Proven experience with LLMs, including OpenAI models/APIs and current AI/LLM model families
• Hands-on experience building Agentic AI systems, including multi-agent orchestration, tool use, and autonomous workflows
• Experience building RAG systems, including embeddings, vector databases, and semantic retrieval
• Strong understanding of data exploration, data quality, feature engineering, and their impact on model outcomes
• Strong coding skills in Python and Java
• Experience building front-end interactive applications using React, TypeScript, or Java-based UI
• Hands-on experience with Docker/containers and GPU compute for training and inference
• Experience building and maintaining CI/CD pipelines for ML/AI workloads
• Working knowledge of DevSecOps practices for ML pipelines
• Experience supporting production ML/AI systems, including monitoring and incident response
• Experience with model governance and monitoring, including drift detection, performance tracking, and retraining/tuning
• Experience designing Human-in-the-Loop (HITL) and Human-on-the-Loop (HOTL) workflows
• Strong judgment in selecting AI/LLM vs. traditional ML/statistical approaches
• Experience defining measurable model testing, evaluation, and quality criteria
• Experience writing automated test cases, including AI-assisted test coverage generation
• Strong understanding of AI governance, legal, security requirements, and guardrails
• Familiarity with PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar AI/RAG frameworks

Preferred Qualifications

• Working knowledge of Google Cloud Platform and Azure ML/AI services
• Experience with Responsible AI tools, including bias/fairness testing and model explainability
• AWS ML/AI or relevant cloud certifications