- Location
- Pune Division, Maharashtra, India
- Job type
- Full-time
Required skills
- Python
- AWS
- Azure
- CI
- cloud infrastructure
- compliance
- containerization
- data architecture
- data engineer
- data ingestion
- DevOps
- full stack
- GCP
About the role
Website:
Job details:
Position: Senior Data Engineer
Location: Pune
Job Responsibilities
- Design, develop, and maintain scalable data pipelines using AWS services.
- Design and implement scalable, secure, and resilient MLOps architecture across cloud and on-prem environments
- Define best practices for model lifecycle management, including versioning, deployment, monitoring, and governance
- Lead the selection and integration of tools for CI/CD, model registry, feature store, and data pipelines
- Automate workflows for data ingestion, preprocessing, training, validation, and deployment
- Establish monitoring and alerting systems for model performance, data drift, and infrastructure health
- Ensure reproducibility, traceability, and compliance with regulatory standards
- Work closely with data scientists, data engineers, software developers, and DevOps teams
- Mentor junior engineers and promote a culture of continuous learning and innovation
- Translate business requirements into scalable AI/ML solutions
- Evaluate emerging technologies and frameworks to enhance MLOps capabilities
Ideal Candidate Will Have
- Strong, hands-on experience in data engineering — pipelines, cloud infrastructure, data architecture, and production-grade deployments
- Demonstrated experience with cloud platforms (AWS required; Azure and/or GCP a strong plus)
- Comfort working in AI and agentic AI contexts — experience with LLM infrastructure, agent frameworks, evaluation pipelines, or observability tooling is highly valued
- Proficiency in Python and modern data/ML engineering tooling
- Experience with CI/CD practices, containerization, and DevOps principles applied to data and AI systems
- Ability to operate across the full stack — from raw data through model serving infrastructure
- 7+ years of progressive data engineering experience, with demonstrated growth in scope and technical ownership.
- Track record of leading technical projects or workstreams, not just executing within them.
- Experience in distributed or global team environments is a plus
Click on Apply to know more.
This page is fully interactive when JavaScript is enabled. Please enable JavaScript to apply or browse related roles.