Quick Overview
Job Description
Senior AI/ML Engineer
Experience: 12+ Years
Job Type: W2 Contract
Job Summary
We are seeking a highly experienced Senior AI/ML Engineer with 12+ years of IT experience and strong expertise in designing, developing, deploying, and optimizing AI/ML solutions. The ideal candidate should have hands-on experience with Machine Learning, Generative AI, LLMs, NLP, Python, cloud platforms, and MLOps.
Key Responsibilities
Design and develop scalable AI/ML models and solutions for enterprise applications.
Develop and deploy Generative AI, LLM, NLP, and predictive analytics solutions.
Build RAG pipelines, AI agents, embeddings, vector search, and prompt engineering solutions.
Work with frameworks such as LangChain, LangGraph, LlamaIndex, PyTorch, TensorFlow, and Hugging Face.
Develop and optimize machine learning models using Python, Pandas, NumPy, and Scikit-learn.
Integrate AI/ML solutions with AWS, Azure, or Google Cloud Platform services.
Implement MLOps pipelines for model training, deployment, monitoring, and lifecycle management.
Work with Docker, Kubernetes, CI/CD, APIs, and microservices.
Collaborate with data engineers, software developers, architects, and business teams.
Perform model evaluation, tuning, monitoring, and performance optimization.
Ensure AI solutions meet requirements for security, scalability, reliability, and responsible AI.
Required Skills
12+ years of overall IT experience with strong AI/ML experience.
Strong Python programming skills.
Hands-on experience with Machine Learning, Deep Learning, NLP, and Generative AI.
Experience with LLMs, RAG, embeddings, vector databases, and AI agents.
Experience with LangChain / LangGraph / LlamaIndex.
Strong knowledge of PyTorch, TensorFlow, Scikit-learn, Pandas, and NumPy.
Experience with AWS / Azure / Google Cloud Platform AI/ML services.
Knowledge of MLOps, MLflow, Docker, Kubernetes, and CI/CD.
Strong experience with REST APIs, microservices, SQL, and data pipelines.
Excellent communication, analytical, and problem-solving skills.
Preferred Skills
Experience with Azure OpenAI, AWS Bedrock, Vertex AI, OpenAI APIs, or Claude.
Experience building multi-agent AI systems and agentic workflows.
Knowledge of FAISS, Pinecone, Weaviate, or other vector databases.
Experience with Spark, Databricks, Snowflake, or modern data platforms.
Experience leading AI/ML projects and mentoring junior engineers.
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