Job Title: AI/ML Engineer

Experience: 10+ Years
Job Type: W2 Contract 

Job Description

We are looking for an experienced AI/ML Engineer with 10+ years of experience in designing, developing, and deploying AI/ML solutions. The ideal candidate should have strong expertise in machine learning, deep learning, Generative AI, Large Language Models (LLMs), and cloud-based AI platforms.

Key Responsibilities

• Design, develop, and deploy machine learning and AI models to solve complex business problems.

• Build and implement Generative AI applications using LLMs, prompt engineering, and Retrieval-Augmented Generation (RAG).

• Develop AI-powered solutions using frameworks such as LangChain, LangGraph, and LlamaIndex.

• Work with Python, TensorFlow, PyTorch, and Scikit-learn for model development and optimization.

• Integrate AI/ML models with enterprise applications, APIs, and data pipelines.

• Implement vector databases and embedding techniques for semantic search and knowledge retrieval.

• Deploy and manage AI solutions on AWS, Azure, or Google Cloud Platform.

• Develop scalable AI services using REST APIs, microservices, and containerization technologies.

• Evaluate model performance, improve accuracy, and ensure responsible AI practices.

• Collaborate with data engineers, software developers, architects, and business stakeholders.

Required Skills

• 10+ years of experience in software development, AI/ML engineering, or related fields.

• Strong programming skills in Python and experience with ML libraries.

• Hands-on experience with Machine Learning, Deep Learning, NLP, and Generative AI.

• Strong knowledge of LLMs, RAG, prompt engineering, and AI agents.

• Experience with LangChain, LangGraph, Hugging Face, or similar frameworks.

• Familiarity with vector databases such as Pinecone, FAISS, Weaviate, or Chroma.

• Experience with cloud AI services such as AWS Bedrock, Azure AI, or Google Vertex AI.

• Knowledge of SQL/NoSQL databases, data processing, and model deployment.

• Experience with Docker, Kubernetes, CI/CD, and MLOps practices is preferred.

Preferred Qualifications

• Experience building production-ready Generative AI applications and autonomous AI agents.

• Knowledge of fine-tuning, model evaluation, guardrails, and AI security.

• Experience with MLflow, model monitoring, and automated deployment pipelines.

• Strong analytical, problem-solving, communication, and collaboration skills.