AI/ML Developer

About the Role

**Senior AI/ML Engineer** **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\-efficient 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 Pay: Up to ₹900,000\.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