Mgr, Data Sci & Analytics
Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103, India
INR 2000K-4000K (estimate) Mid-level Full Time
Tasks
- Build and maintain analytics engineering pipelines for data ingestion transformation and feature engineering
- Collaborate with business stakeholders and product teams to identify analytics and AI opportunities
- Define success metrics validate assumptions and improve solutions based on outcomes
- Deploy and monitor production analytics and AI solutions including model performance and data quality
- Design and implement agentic AI workflows with tools data and model orchestration with guardrails and human in the loop controls
- Design develop deploy analytics AI and ML solutions to solve business problems
- Develop and deploy GenAI solutions including RAG summarization Q and A and copilots
- Develop and operationalize machine learning models for predictive prescriptive and optimization use cases
- Ensure solutions align with enterprise standards governance and scalability requirements
- Implement MLOps and LLMOps practices including versioning testing evaluation and monitoring
- Optimize models and pipelines for performance reliability cost and scalability
- Translate business requirements into data requirements solution architectures and technical designs
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Analytics engineering | Azure | Cloud platform | Data Ingestion | Data Modeling | Data Transformation | Databricks | Evaluation | Feature Engineering | GenAI | Google Cloud | Google Cloud Platform | Human-in-the-loop | LLMOps | Language model integration | Large Language Model | Large language model integration | MLOps | Machine Learning | Model Deployment | Model Integration | Model Monitoring | Power BI | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Semantic layer | Snowflake | Testing | The Loop | Workflow Orchestration
Education
N/A
Roles
AI | AI Analytics Engineer | Analytics | Analytics Engineer | Data Science | Data Science Manager | Engineer | Manager
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