Data & AI Engineer | Cloud-Native Pipelines, Python, Pandas, Large-Scale Data Processing, Cloud (AWS/Azure/GCP), Machine Learning Frameworks
INR 2800K-4000K (estimate) Senior-level Full Time
Tasks
- Architect large-scale data pipelines
- Build AI ML workflow integrations
- Collaborate with data scientists and platform teams
- Containerize and deploy services using Docker and Kubernetes
- Create technical documentation and design standards
- Develop data workflows for cleansing feature engineering and inference
- Implement CI CD for data ingestion and deployment
- Lead data governance quality and compliance initiatives
- Optimize pipeline performance and storage
- Troubleshoot bottlenecks and enforce data security
Perks/Benefits
Skills/Tech-stack
AWS | Access Control | Airflow | Apache Spark | Azure | CI/CD | Data Governance | Data Streaming | Data encryption | Delta Lake | Django ORM | Docker | GCP | GitHub Actions | Java | Jenkins | Jupyter | Kubernetes | Multithreading | MySQL | NumPy | Object-Oriented | Object-oriented programming | Oracle | Pandas | Parquet | PySpark | PyTorch | Python | SQL | SQLAlchemy | Scala | TensorFlow | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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