Job Title: Senior Machine Learning Engineer

Location: Pune, India

Department: Enterprise Data & Analytics Advanced Analytics Team

Employment Type: Full-time

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 cutting-edge data and analytics products that empower business functions to make smarter, data-driven decisions.

This role is ideal for an experienced and proactive ML engineer who enjoys solving complex problems, building scalable solutions, and working with cross-functional 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, production-grade ML pipelines.
- Develop data models, algorithms, and integrate them into enterprise-grade applications.
- Ensure solutions are secure, compliant, and follow industry best practices.
- Continuously improve ML products based on real-world 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:

Master's degree in Computer Science, Machine Learning, Statistics, Physics, Mathematics, or a related field.





- 46 years of hands-on 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.
- Hands-on 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.
- Robust foundation in CI/CD, testing practices, and production-grade software development.
- Experience with infrastructure-as-code, 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 draw.io.
- Global, multi-cultural team focused on transparency, collaboration, and continuous learning.
- Encouraged to be self-organized, courageous, and solutions-oriented.

📌 Senior Machine Learning Engineer (India)
🏢 Saaki Argus And Averil Consulting
📍 India