Senior AI/ML Engineer
Primary location: Bengaluru, Karnataka
INR 4000K-6000K (estimate) Senior-level Full Time
Tasks
- Define AI execution plan and roadmaps
- Drive AI governance and standard delivery frameworks
- Drive agile and DevOps practices
- Ensure compliance security and responsible AI practices
- Ensure reliability performance and SLAs
- Lead cross functional teams and manage capacity
- Manage model lifecycle for production delivery
- Manage stakeholder engagement with business and product
- Monitor cost vs value
- Optimize cost budget and resource allocation
- Oversee production architecture design reviews and quality standards
- Own end to end delivery of AI ML programs
- Standardize and reuse engineering components
- Track and control program risks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Agentic AI | Agile | Azure | Cloud platform | Cost Performance | Cost-performance optimization | Data Pipelines | Deep learning | DevOps | Experimentation | Feature Engineering | Generative AI | Google Cloud | Google Cloud Platform | LLMs | Lifecycle Management | Machine Learning | Model Lifecycle | Model Lifecycle Management | Model selection | Multi-Agent | Multi-Agent Systems | Orchestration | Performance optimization | Prompt engineering | PyTorch | Python | RAG | SQL | TensorFlow | Token optimization | Vector Databases
Education
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