Lead AI/ML Engineer
Primary location: Bengaluru, India
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Automate model lifecycle management and deployment workflows
- Build reusable model serving and inference pipelines
- Deliver generative AI and agentic AI solutions
- Design reference architectures and platform standards
- Drive SRE practices and incident management
- Ensure responsible AI governance security and compliance
- Establish MLOps and LLMOps operational standards
- Implement AI observability and monitoring frameworks
- Lead and mentor AI systems and platform engineering teams
- Lead enterprise AI platform design and delivery
- Operationalize machine learning models at scale
Perks/Benefits
- N/A
Skills/Tech-stack
API | AgentOps | Amazon Web Services | Azure | Azure Machine Learning | Cloud Native | Databricks | Deep learning | Distributed Systems | Elasticsearch | Embeddings | Event Driven | Event-driven architecture | Generative AI | Google Cloud | Governance | Inference Orchestration | Kafka | Kubeflow | Kubernetes | LLMOps | Langchain | Langgraph | MLOps | MLflow | Machine Learning | Microservices | Model Serving | Monitoring | Observability | Prompt engineering | Python | RAG | Redis | Retrieval-Augmented Generation | SageMaker | Spark | Vector Databases | Vector Search | Vertex AI | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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