Job Description

Job Title: Machine Learning, Data Engineering, MLOps Engineer

Reference: RFQ SMART7748_Happiest Minds

Years of Experience: 3 to 5 Years

Mandatory Skills
- 3 to 5 years of qualified experience in Machine Learning Engineering, MLOps, Data Engineering, or Software Engineering.
- Experience with big data technologies such as Apache Spark, Kafka, Hadoop, Flink, or similar distributed systems.
- Strong experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Experience developing and maintaining large-scale data engineering pipelines using Python, Spark, Databricks, Airflow, or similar technologies.
- Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or equivalent tools.
- Strong proficiency in Docker, Kubernetes, and container-based application deployment.
- Strong understanding of software engineering best practices including object-oriented design, design patterns, version control, testing strategies, code reviews, and secure development practices.
- Experience with model lifecycle management,



experiment tracking, feature management, and production model deployment.
- Strong understanding of data governance, security, and compliance requirements in enterprise environments.
- Excellent analytical, problem-solving, collaboration, and communication skills.
- Ability to manage multiple projects and priorities in a fast-paced environment.

Desired Expertise (in one or more of the following areas):
- Professional certifications in Machine Learning, Cloud Technologies, Data Engineering, or MLOps.Hands-on experience with Databricks, Snowflake, Delta Lake, Feature Stores, or Vector Databases.
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, MLflow, or equivalent platforms.
- Experience building Generative AI, LLM, RAG, Agentic AI, or NLP-based solutions.

Familiarity with Infrastructure as Code tools such as Terraform, Bicep, or CloudFormation.
- Exp

📌 DATA ENGINEER (Pune)
🏢 Happiest Minds Technologies
📍 Pune