Job description

Role: Senior AI/ML Engineer

Location: Remote – USA

Client: Deloitte

Employment: W2

Experience: 15+ Years

Design, develop, and deploy scalable AI/ML solutions for enterprise applications.
Build and optimize Machine Learning and Deep Learning models

.
Develop Generative AI and LLM-based applications

.
Design and implement RAG (Retrieval-Augmented Generation) solutions.
Work with LLMs, embeddings, vector databases, prompt engineering, and AI agents

.
Develop production-ready solutions using Python and AI/ML frameworks.
Implement MLOps, model deployment, monitoring, and CI/CD practices.
Integrate AI/ML models with enterprise applications, APIs, and microservices.
Work with AWS, Azure, or GCP cloud platforms.
Collaborate with data scientists, software engineers, architects, and business stakeholders.
Evaluate emerging AI technologies and implement solutions aligned with business requirements.

Required Skills

✅ 15+ years of IT/Software Engineering experience

✅ Strong hands-on AI/ML Engineering experience

✅ Expert-level Python programming

✅ Machine Learning & Deep Learning

✅ Generative AI / LLMs / NLP

✅ RAG, Prompt Engineering, Embeddings & Vector Databases

✅ LangChain / Llama Index or similar frameworks

✅ PyTorch / TensorFlow / Scikit-learn

✅ MLOps & production model deployment

✅ AWS / Azure / GCP

✅ Docker, Kubernetes, CI/CD & Git

✅ REST APIs & Microservices

✅ Strong communication and problem-solving skills

Preferred

Experience with OpenAI, Azure OpenAI, Anthropic, Gemini

, or similar LLM platforms.
Experience with AI Agents, tool/function calling, and multi-agent architectures

.
Experience fine-tuning or adapting LLMs for enterprise applications.
Experience with AWS SageMaker, Azure ML, or Google Vertex AI

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Strong enterprise production experience delivering AI/ML solutions.