Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Job Description
Job Title: Senior Machine Learning Engineer
Location: Pune India
Department: Enterprise Data & Analytics Advanced Analytics Team
Employment Type: Fulltime
About the Role:
We are looking for a Senior Machine Learning Engineer to join our Advanced Analytics IT Product Team. The team is responsible for developing cuttingedge data and analytics products that empower business functions to make smarter datadriven decisions.
This role is ideal for an experienced and proactive ML engineer who enjoys solving complex problems building scalable solutions and working with crossfunctional teams in a dynamic global environment.
Responsibilities:
- Design build test deploy and maintain machine learning and AI solutions across business domains.
- Collaborate with data scientists engineers and product teams to deliver reliable productiongrade ML pipelines.
- Develop data models algorithms and integrate them into enterprisegrade applications.
- Ensure solutions are secure compliant and follow industry best practices.
- Continuously improve ML products based on realworld performance metrics and feedback.
- Participate in code reviews solution design and incident resolution.
- Document technical designs and contribute to internal knowledge sharing.
- Lead ML engineering practices mentor junior team members and support agile development activities such as sprint planning and retrospectives.
Qualifications:
Education & Experience:
Masters degree in Computer Science Machine Learning Statistics Physics Mathematics or a related field.
- 4 6 years of handson experience in machine learning data science or data engineering.
Technical Skills:
- Strong experience with AWS services: S3 DynamoDB CloudFormation CDK Route53 AppFlow. AWS certifications are a plus.
- Handson experience with Databricks: PySpark MLFlow Unity Catalog orchestration workflows. Databricks certifications preferred.
- Proficient in Python SQL and DBT.
- Familiar with tools like GitHub/GitLab Airflow and Terraform.
- Solid understanding of enterprise data (structured unstructured transactional metadata) and integrations with systems like SAP ERP Salesforce and product data platforms.
- Strong foundation in CI/CD testing practices and productiongrade software development.
- Experience with infrastructureascode version control and deployment automation.
- Knowledge of data privacy cybersecurity and regulatory compliance.
- Serve as the technical expert for ML engineering within the team.
- Drive architecture and design improvements for scalability and efficiency.
- Lead quality assurance activities conduct code reviews and ensure adherence to development standards.
- Guide and mentor junior engineers and contribute to capability building.
- Take on additional responsibilities such as Scrum Master or task force lead when needed.
- Agile working methodology with tools such as Jira Confluence and .
- Global multicultural team focused on transparency collaboration and continuous learning.
- Encouraged to be selforganized courageous and solutionsoriented.
Remote Work :
No
Employment Type
Full Time
