AI Foundations Pod Member
Bangalore, Karnataka, India
INR 2500K-4500K (estimate) Entry-level Full Time
Tasks
- Align with ai product owners on success metrics
- Apply responsible AI principles
- Build agent-based systems
- Build test and iterate data science models
- Collaborate with data science pod lead
- Communicate findings to technical and non-technical stakeholders
- Contribute reusable tools and processes
- Coordinate with mlops data engineering and software teams
- Create evaluation harnesses
- Design machine learning solutions
- Develop generative AI systems
- Develop production ready code and pipelines
- Ensure model quality performance and compliance
- Execute Agile work items
- Identify technical risks and trade-offs
- Implement genai safety and guardrails
- Implement retrieval-augmented generation
- Maintain technical documentation and traceability
- Participate in peer reviews
- Perform data exploration and feature engineering
- Stay current with AI advancements
- Support testing documentation and handover
- Train, evaluate, and validate models
- Transition prototypes to production
Perks/Benefits
- N/A
Skills/Tech-stack
Access Controls | Agents | Agile | Cost Optimization | Data Exploration | Data provenance | Debugging | Deployment | Development Life Cycle | Experiment design | Feature Engineering | Generative AI | Groundedness | Guardrails | Hallucination Risk | Language Models | Large Language Models | Latency optimization | Machine Learning | Model Evaluation | Model Training | Model Validation | Multimodal AI | Production Code | Prompt engineering | Prompt management | Python | RAG | Retrieval-Augmented Generation | SQL | Software Development Life Cycle | Software development | Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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