Director, AI Engineering Tech Lead
IND - Mumbai, India
INR 4000K-5200K (estimate) Senior-level Full Time
Tasks
- Align product vision with product owners and stakeholders
- Build and mentor AI engineering and QA teams
- Build reusable data and model pipelines
- Collaborate with data scientists for model integration
- Conduct code reviews and architecture decision records
- Coordinate contractor and vendor support
- Create user friendly visualizations and interfaces
- Define quality standards and release readiness criteria
- Develop AI ML powered features and inference pipelines
- Embed DevSecOps security controls and compliance checks
- Ensure production ready models across training monitoring retraining rollback
- Establish CI CD pipelines automated testing deployment standards
- Integrate models into production applications
- Lead iterative prototyping and continuous improvement
- Own end to end engineering delivery for DecisionIQ
- Set technical direction and coaching routines
- Translate user requirements into technical specifications
- Use observability tools to monitor system behavior
Perks/Benefits
Skills/Tech-stack
AI Foundry | AWS | Artificial Intelligence | Automated testing | Azure | Azure AI | Azure AI Foundry | Bedrock | Bootstrap | CI/CD | Claims | Dash | Data Transformation | Data Visualization | Dataiku DSS | Deployment standards | DevSecOps | Docker | EMR | GitHub Actions | GxP | HIPAA | HTML | Kubernetes | LLMOps | Langchain | Langfuse | MLflow | Machine Learning | Observability | Power BI | PyTorch | Python | React | SOC2 | SageMaker | Scikit-learn | Streamlit | Tableau | Tailwind CSS | TensorFlow | Vue
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineering | AI Engineering Tech Lead | Director | Director, AI | Director, AI Engineering | Engineering | Engineering Tech Lead | Lead | Tech Lead
Language: en
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