Experience:

• 6 to 9 Years

Responsibilities:

• Design and develop scalable AI/ML solutions for enterprise applications
• Build and optimize distributed data processing pipelines
• Develop and deploy GenAI applications using Large Language Models (LLMs)
• Implement RAG frameworks and vector databases
• Fine-tune foundation models and optimize production workloads
• Develop scalable MLOps and data engineering pipelines
• Collaborate with cross-functional teams to deliver AI-driven solutions

More skills:

Generative AI, LLMs (GPT, Llama, Claude, Mistral), Prompt Engineering, Apache Spark (PySpark), Data Modeling, ETL/ELT Pipelines, GPU Computing (NVIDIA CUDA), Azure, AWS, GCP, MLflow, Docker, Kubernetes, CI/CD Pipelines, Git