Sr. AIML Developer (Ahmedabad)

Senior AI/ML Developer JD / Skills: Senior AI/ML Engineer GenAI, LLM, MLOps, Production ML Systems About the Role We are looking for a Senior AI/ML Engineer to architect and deploy production-grade AI/ML and Generative AI systems across domains such as NLP, Computer Vision, and deep learning. This role requires strong expertise in the end-to-end ML lifecycle, LLM/RAG pipelines, scalable backend systems, and MLOps/LLMOps. You will build scalable, reliable, and cost-effective AI platforms used in real-world applications. Key Responsibilities - Design and implement end-to-end ML pipelines - (data ingestion preprocessing training deployment monitoring) - Build LLM-powered applications using RAG and agentic workflows - Develop scalable ML/LLM microservices (FastAPI or similar) - Implement MLOps/LLMOps best practices - Optimize latency, throughput, and cost of AI systems - Work with vector databases for semantic search and retrieval - Design batch and real-time inference systems - Collaborate with data engineering for robust data pipelines - Lead AI system architecture decisions - Mentor junior engineers and enforce production-quality standards Tech Stack Programming & Core - Python (production-grade) - JavaScript, React JS(Bonus) - Strong SQL AI/ML & Deep Learning - PyTorch / TensorFlow - Scikit-learn - Hugging Face ecosystem - Model evaluation & optimization tools - Applied Mathametics for Machine Learning Generative AI / LLM - Gen AI Orchestration frameworks (LangChain , Langgraph , LlamaIndex , CrewAI Autogen or equivalent) - Embeddings pipelines - LLM evaluation frameworks - Prompt orchestration systems - Agentic workflow frameworks (preferred) - Vector Databases MLOps / LLMOps - MLflow , Langsmith etc. - Model registry & versioning - CI/CD for ML (GitHub Actions, GitLab CI, etc.) - Data validation (Great Expectations or similar) - Model monitoring & observability - Opentelemetry, Grafana Backend & Systems - FastAPI / Flask / Django - Async Python - Microservices architecture - REST/gRPC APIs - Docker - Kubernetes - Message queues (Kafka / RabbitMQ bonus) Cloud & Infrastructure (at least one) - AWS (SageMaker, ECR, ECS/EKS, Lambda, S3) - GCP (Vertex AI, GKE, Cloud Run, BigQuery) - Azure ML (preferred) - GPU-based deployment and optimization Compensation: Up to 1,000,000.00 per year Benefits - Leave encashment - Provident Fund Ability to commute/relocate: - Ahmedabad, Gujarat (Ahmedabad): Reliably commute or planning to relocate before starting work (Preferred) Experience: - AIML: 1 year (Preferred) Work Location: In person .