AI/ML Engineer

Key Responsibilities

• Design, develop, and deploy AI/ML solutions using Python and modern ML frameworks.
• Build and optimize Generative AI applications leveraging LLMs such as GPT, Claude, and Llama.
• Develop and maintain RAG-based systems using vector databases such as Pinecone, Weaviate, or ChromaDB.
• Implement NLP pipelines for document intelligence, entity extraction, text classification, semantic search, and conversational AI.
• Fine-tune, evaluate, and monitor machine learning and deep learning models.
• Build scalable MLOps pipelines for model deployment, monitoring, versioning, and governance.
• Collaborate with data scientists, architects, product owners, and business stakeholders to deliver AI-driven solutions.
• Implement AI governance, model explainability, bias detection, and compliance controls.
• Integrate AI solutions with enterprise systems through APIs and microservices.

Required Skills

• Strong programming skills in Python.
• Experience with TensorFlow, PyTorch, Hugging Face, LangChain, and LlamaIndex.
• Hands-on experience with LLMs, Generative AI, Prompt Engineering, and RAG architectures.
• Experience with Vector Databases (Pinecone, Weaviate, ChromaDB).
• Strong understanding of NLP, Deep Learning, Transformers, and Machine Learning algorithms.
• Experience with AWS SageMaker, Azure ML, or GCP Vertex AI.
• Knowledge of Docker, Kubernetes, CI/CD, and MLOps practices.
• Strong SQL and data engineering fundamentals.