HM
Full time
🤖 AI / ML
Data Engineer - Machine Learning (RFQ SMART7748) at Happiest Minds Technologies
Listed by DevShelfHub
Pune, India
Hybrid
Mid-level · 3–5 yrs
About the Role
Enterprises need engineers who can build large-scale ML pipelines, manage model lifecycles, and deploy containerized AI solutions on cloud platforms. Happiest Minds Technologies is hiring a Data Engineer - Machine Learning in Pune.
What you'll do
- Develop and maintain large-scale ML and data engineering pipelines on cloud platforms
- Implement CI/CD pipelines for data and ML workloads
- Manage model lifecycle including experiment tracking, feature management, and production deployment
- Deploy and maintain containerized applications on Kubernetes
- Ensure data governance, security, and compliance requirements
- Collaborate across teams on multiple projects in a fast-paced environment
- Apply software engineering best practices — design patterns, testing, code reviews
What we're looking for
- 3-5 years of professional experience in ML Engineering, MLOps, Data Engineering, or Software Engineering
- Experience with big data technologies: Apache Spark, Kafka, Hadoop, Flink, or similar
- Strong experience with cloud platforms: AWS, Azure, or Google Cloud Platform
- Experience developing data pipelines using Python, Spark, Databricks, Airflow, or similar
Skills & Technologies
Required
3-5 years of professional experience in ML Engineering, MLOps, Data Engineering, or Software Engineering
Experience with big data technologies: Apache Spark, Kafka, Hadoop, Flink, or similar
Strong experience with cloud platforms: AWS, Azure, or Google Cloud Platform
Experience developing data pipelines using Python, Spark, Databricks, Airflow, or similar
CI/CD pipeline experience with Azure DevOps, GitHub Actions, Jenkins, or equivalent
Strong proficiency in Docker, Kubernetes, and container-based deployment
Model lifecycle management, experiment tracking, and production model deployment experience
Strong understanding of data governance, security, and compliance
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role spans machine learning engineering, MLOps, and data engineering for enterprise-scale deployments.
- Develop and maintain large-scale data engineering pipelines using Python, Spark, and Databricks
- Implement CI/CD pipelines using Azure DevOps, GitHub Actions, or Jenkins
- Work with model lifecycle management, experiment tracking, and production model deployment
- Deploy container-based applications using Docker and Kubernetes
- Apply data governance, security, and compliance in enterprise environments
- Gain exposure to Generative AI, LLM, RAG, and Agentic AI solutions
- Work with big data technologies — Apache Spark, Kafka, Hadoop, Flink
- Mentor junior engineers and lead technical initiatives across teams
- Operate in Agile/Scrum development environments
- Build monitoring and observability with Grafana, Prometheus, or Azure Monitor
About Happiest Minds Technologies
Happiest Minds Technologies is a digital transformation and IT services company delivering solutions across cloud, data, AI, and engineering. The company works with enterprises on large-scale data engineering, machine learning, and MLOps initiatives.
- Industry
- Technology
- Company Size
- 500+
- Website
- happiestmindstechnologies.com
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Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 3–5 years
- Location
- Pune, India
- Work Mode
- Hybrid
- Category
- AI / ML
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