Senior Machine Learning Engineer

Senior Machine Learning Engineer Location - Kochi, Trivandrum, Bangalore Experience - 10 to 15 years This is a strongly hands-on Individual Contributor role — we are specifically looking for engineers who actively design, build, deploy, and scale AI/ML systems in production environments. While candidates may currently hold Lead/Manager titles, the expectation is deep technical ownership rather than people management or task distribution responsibilities. Preferred Domain Experience We strongly prefer candidates from: Travel Hospitality Cruise Logistics Secondary preference: Retail FinTech (Note: Automotive-focused AI profiles may not align well unless they have strong retail/platform AI exposure.) What We’re Looking For ✔ Proven experience deploying AI/ML solutions into production (beyond notebooks/PoCs) ✔ Strong Python and SQL skills ✔ Deep MLOps exposure: Docker APIs CI/CD Model deployment Monitoring Drift detection & retraining. ✔ Cloud experience: AWS / Azure preferred.

GCP acceptable ✔ Strong GenAI implementation experience: RAG pipelines Embeddings Vector databases LLM applications ✔ Experience with Agentic AI / Tool-integrated AI systems: LangChain LangGraph Function Calling MCP/tools NL-to-SQL systems Tech Stack Python | Spark | Kubernetes | Docker | MLflow | Kubeflow | SageMaker | Kafka | PyTorch | TensorFlow | RAG | LLMOps What You’ll Work On Large-scale ML systems Real-time AI applications Production-grade GenAI platforms RAG & LLM-powered applications Scalable ML infrastructure Enterprise AI engineering initiatives If you’re passionate about building scalable AI systems and solving real-world engineering challenges at scale, we’d love to connect.