Senior Engineer - AI Engineer.

Job Description Role Summary This role focuses on building and operating reliable, scalable, enterprise-grade AI platforms. You will own deployment, lifecycle management, observability, and governance of AI models that power mission-critical business systems and directly impact P&L.; Main Tasks Key Responsibilities • Build and manage end-to-end AI/ML pipelines • Own model registry, versioning, and lifecycle management • Design scalable model serving architectures • Implement CI/CD pipelines for AI workloads • Partner with AI Engineers to productionize models • Ensure reliability, monitoring, and governance of AI systems Technical Skills • Python, Docker • Kubernetes (EKS / AKS) • Snowflake, Postgres, Feature Store / Vector DB (FAISS) • MLflow (Model Registry & Lifecycle) • Model Serving: FastAPI, Triton, TorchServe • Cloud: AWS / Azure • CI/CD: Bitbucket, GitHub Actions, GitLab CI • Pipelines: ArgoFlow • Monitoring: DataDog, Prometheus, Grafana Experience 4–7 years of experience as an AI/ML Ops Engineer with strong ownership of production AI systems at scale Role: AI / ML Ops Engineer Location: Bangalore, India Experience: 4–7 years Are you full of ideas? Are you keen to take on responsibility and really achieve something?

Then our doors are open to you. This company lives out its values, gives people the freedom to use their own initiative, and offers many development exciting opportunities and many exciting projects – all of which awaits you here.