AI/ML Engineer (15 Years Experience Required)

🏢 Work Model: Onsite
💼 Employment Type: W2 Only

Job Summary

We are seeking a highly experienced AI/ML Engineer with 15 years of IT experience to design, develop, and deploy enterprise-scale Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Python, cloud platforms, and MLOps. This role requires hands-on experience building scalable AI applications and collaborating with cross-functional teams to deliver innovative, production-ready solutions.

Required Qualifications

• 15 years of overall IT experience.
• Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong programming experience in Python.
• Hands-on experience with Machine Learning and Deep Learning frameworks such as TensorFlow or PyTorch.
• Experience building applications using Large Language Models (LLMs).
• Strong knowledge of Generative AI technologies.
• Experience with Retrieval-Augmented Generation (RAG) architectures.
• Hands-on experience with LangChain and/or LangGraph.
• Experience with OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude, or Google Vertex AI.
• Experience working with vector databases such as Pinecone, FAISS, ChromaDB, Milvus, or Weaviate.
• Strong knowledge of NLP, embeddings, prompt engineering, and AI model integration.
• Experience developing and consuming REST APIs.
• Hands-on experience with Docker and Kubernetes.
• Experience with AWS, Azure, or Google Cloud Platform.
• Knowledge of MLOps, model deployment, monitoring, and CI/CD pipelines.
• Experience with Git and Agile/Scrum methodologies.

Preferred Skills

• Experience with Hugging Face Transformers.
• Knowledge of Databricks, Snowflake, or Apache Spark.
• Experience with AI governance, Responsible AI, and model evaluation.
• Familiarity with multi-agent AI frameworks and AI orchestration.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and deploy enterprise AI/ML solutions.
• Build scalable Generative AI and LLM-based applications.
• Develop RAG pipelines using vector databases and modern AI frameworks.
• Fine-tune, evaluate, and optimize machine learning models.
• Integrate AI solutions with enterprise applications and APIs.
• Deploy AI workloads using cloud-native technologies and MLOps best practices.
• Collaborate with architects, data scientists, and software engineers to deliver high-quality AI solutions.
• Ensure security, scalability, performance, and reliability of AI applications.
• Stay current with emerging AI technologies and recommend innovative solutions.

Required Technical Skills

• Python
• Machine Learning
• Deep Learning
• Generative AI
• Large Language Models (LLMs)
• RAG (Retrieval-Augmented Generation)
• LangChain / LangGraph
• OpenAI / Azure OpenAI / AWS Bedrock / Vertex AI
• TensorFlow / PyTorch
• Hugging Face
• Vector Databases (Pinecone, FAISS, ChromaDB, Milvus, Weaviate)
• Docker
• Kubernetes
• AWS / Azure / Google Cloud Platform
• Git
• REST APIs
• CI/CD
• MLOps