BENGALURU · FULLTIME
MLE/MLOps, OOPs Python, Databricks, Azure Professional
Infosys
Bengaluru · onsite · Posted 44d ago
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Undisclosed5–8 yrsfulltimeBengaluru
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Section · 01
About this role
Educational Requirements
Bachelor of Engineering, BTech, BSc, BCA, MTech, MSc, MCA
Service Line Data Analytics Unit
Responsibilities - Machine Learning Engineering: Design, develop, and deploy scalable ML models and AI solutions
- Build end-to-end pipelines covering data ingestion, feature engineering, model training, evaluation, and deployment
- Apply advanced techniques for model optimization, validation, and explainability
- Ensure models are production-ready with high accuracy and performance
- MLOps Lifecycle Management: Design and implement MLOps frameworks for CI/CD/CT (continuous training)
- Automate model deployment, versioning, monitoring, and rollback strategies
- Implement model performance tracking, drift detection, and alerting systems
- Use tools like MLflow for experiment tracking and model registry
- Python (OOPs) Development: Write scalable, modular, and reusable code using object-oriented Python
- Develop APIs and backend services for model serving and integration
- Implement best practices for code quality, testing, and maintainability
- Databricks Big Data: Build and optimize pipelines using Azure Databricks and PySpark
- Work with Delta Lake for data versioning and reliability
- Manage Databricks clusters, jobs, and workflows
- Optimize Spark jobs for performance, scalability, and cost efficiency
- Azure Cloud Platform: Design ML solutions using Azure services (Azure ML, ADLS, Data Factory, Key Vault, Synapse)
- Implement secure and scalable cloud architectures
- Integrate ML pipelines with Azure DevOps CI/CD pipelines
- Ensure compliance with data governance and security policies
- Data Engineering Integration: Develop robust data pipelines for ML workflows
- Handle large-scale structured and unstructured datasets
- Integrate ML models with downstream applications via APIs/microservices
- Preferred Skills: Experience with feature stores and model monitoring tools
- Knowledge of Docker Kubernetes (containerization)
- Familiarity with streaming (Kafka, Event Hub)
- Experience with Lakehouse architecture (Delta Lake)
- Exposure to GenAI / LLMOps (optional, added advantage)
- Primary skills: Technology- >Data Science- >Machine Learning, Technology- >Machine Learning- >Python
- Technology- >AI-Data science- >PYTHON
- Technology- >AI-Data science- >Machine Learning
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Section · 02
Skills
Apache SparkScalaHiveHdfsssasamazon web servicesSSISsqoopSQL AzureApache HadoopDatabricksPysparkPythonPower BiSQLData WarehousingJavaAzure Data FactoryETLMicrosoft AzureSQL ServerBig DataOOPSMachine Learning
Section · Company
About Infosys
Infosys
IT Services & Consulting
323.6k+
employees
1981
45 years old
Bengaluru/Bangalore, Karnataka
India
About
Infosys is a global leader in next-generation digital services and consulting.
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IT Services & ConsultingConsulting
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