AI/ML Engineer (Data Engineering + AI Focus)
INR 2040K-4000K (estimate) Senior-level Full Time
Tasks
- Architect and optimize large scale cloud data processing
- Build and scale data intensive AI ML solutions
- Deploy solutions using Docker and Kubernetes
- Design and build data pipelines and data platforms
- Design and maintain batch and streaming data models
- Develop and deploy end to end AI ML solutions
- Ensure data quality, governance, and observability
- Implement MLOps and DataOps practices
- Integrate LLMs and generative AI into production workflows
- Mentor junior engineers and conduct code reviews
- Optimize infrastructure for cost scalability and performance
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon EMR | Amazon S3 | Amazon Web Services | Apache Spark | Azure | Azure Data | Azure Data Factory | CI/CD | Data Factory | Data Governance | Data Lake | Data Modeling | Data Observability | Data Warehouse | DataOps | Databricks | Docker | Feature Engineering | Generative AI | Kubernetes | LLM | Lakehouse | MLOps | MLflow | Microsoft Synapse | Microsoft Synapse Analytics | Model Evaluation | Model Monitoring | Model Training | Production Deployment | PySpark | Python | RAG | SQL | Synapse Analytics | Web Services
Education
N/A
Roles
AI | AI Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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