Key Responsibilities

• Design and develop AI/ML solutions for large-scale enterprise applications
• Build and optimize distributed data processing pipelines using Apache Spark and Databricks
• Develop and deploy Generative AI applications using LLMs such as GPT, Llama, Claude, and Mistral
• Implement Retrieval-Augmented Generation (RAG) frameworks and vector databases
• Utilize High-Performance Computing (HPC) environments to accelerate AI model training and inference
• Fine-tune foundation models and optimize model performance for production workloads
• Develop scalable data engineering and MLOps pipelines
• Collaborate with Data Scientists, Data Engineers, and Business Stakeholders to deliver AI-driven solutions
• Monitor, troubleshoot, and optimize AI applications in production environments

Requirements

• 4 to 8 years of experience in AI/ML engineering
• Strong expertise in Generative AI, LLMs, and Prompt Engineering
• Hands-on experience with RAG, LangChain, and LlamaIndex
• Experience fine-tuning and evaluating foundation models
• Proficiency in Apache Spark (PySpark), Databricks, and Delta Lake
• Strong SQL and NoSQL database experience
• Experience with HPC clusters, distributed and parallel computing, and GPU computing (NVIDIA CUDA preferred)
• Experience with Azure/AWS/GCP, MLflow, Docker, Kubernetes, and CI/CD pipelines
• Immediate to 15 days joiners preferred

Skills Required