MLOPS (Machine learning operations) Engineer

At Tetra Pak we commit to making food safe and available, everywhere; and we protect what's good – protecting food, protecting people, and protecting the planet. By doing so we touch millions of people's lives every day. And we need people like you to make it happen.

Job Summary

Role: Machine Learning Ops Engineer in Advance Analytic Service Delivery Team (SDT)

Location: Chakan,Pune

Transport Services Provided, Work Mode : Hybrid : 2 days Work from Home and 3 days Work from Office

• This is a diverse team of Data Engineers, DevOps Engineers, Testers, Architects, Scrum Masters and Agile Coaches. The team supports the Cloud Analytics Platform to create capabilities around Digital Solutions and Advanced Analytics

• The team facilitates implementation of Analytics use cases in the Cloud Analytics Platform by providing capabilities around Machine Learning (ML) Ops, DevOps, Security and Infrastructure. The team drives the Advance Analytics roadmap, ensuring we have the scalability and alignment in technology patterns as well as implementation processes. It ensures the platform & solutions we use are fit for purpose and meets requirement of future Analytics use cases. 

• The focus of the Advance Analytics SDT is to provide capabilities around data onboarding/engineering and model deployment for the prioritised Use Cases. The team consists of Data Engineers, Subject Matter Experts, Service Architects, DevOps Engineer, MLOps Engineer, Tester, Technical Product Owner, and Scrum Master. Backlog prioritisation is done together with Business Product Owners based on the pipeline of Use Cases.

What you will do

• Work closely with the Decision Science team to ensure technical implementations align with functional, performance, and value objectives.

• Advise and guide Data Scientists during the development of models to ensure scalability and facilitate the upcoming deployment in the Cloud Analytics Platform.

• Plan, implement, and manage deployments of models in collaboration with Data Scientists, including but not limited to, pipeline builds across various platforms such as ADF, Airflow, Databricks, etc.

• Monitor and take appropriate actions to ensure solutions are compliant with all policies and other restrictive requirements.

• Implement and oversee monitoring of all types of apps and pipelines, ensuring the success of builds, deployments, and executions, and executing contingency plans on failure.

• Serve as a technical liaison with service architects to guarantee platform capabilities and project development are in sync, ensuring platform enhancements such as authentication methods are properly implemented and documented for use by Data Scientists.

• Act as the project’s technical lead on system design, determining necessary repositories, solution patterns, and best practices for API setup, and advising on system integration for model training and ML Flow registry.

• Develop and maintain the technical interfaces from Azure data platform for integration with external systems or IT components (e.g., Apigee, SAP CI, DotNet applications), ensuring seamless integration and functioning of interconnected systems.

We believe you have

Bachelor’s degree or higher in Computer Science, Engineering, or related field.

Must Have:

• Proven experience (5+ years) in MLOps, machine learning engineering, or a related role.

• ML (Machine Learning) Flow

• Strong programming skills in Python and experience with machine learning libraries such as scikit-learn.

• Experience with cloud platforms such as Azure or other cloud platform and proficiency in deploying machine learning models on cloud infrastructure.

• Adherence to best practices and emphasis on technical documentation.

Good to have:

• Docker and container orchestration platforms like Kubernetes or similar tools.

• Airflow or similar

• Experience with version control systems (e.g., Git) and collaboration tools (e.g., Azure DevOps, Jira, Confluence).

• Experience from System Integration

• Experience in CI/CD and DevOps

• Experience from working with Azure implementations

We Offer You

• A variety of exciting challenges with ample opportunities for development and training in a truly global landscape
• A culture that pioneers a spirit of innovation where our industry experts drive visible results
• An equal opportunity employment experience that values diversity and inclusion
• Market competitive compensation and benefits with flexible working arrangements

Apply Now

If you are inspired to be part of our promise to protect what’s good; for food, people, and the planet, apply through our careers page at https://jobs.tetrapak.com/. 

This job posting expires on 11/04/2024

If you have any questions about your application, please contact Poonam Agarwal.

Diversity, equity, and inclusion is an everyday part of how we work. We give people a place to belong and support to thrive, an environment where everyone can be comfortable being themselves and has equal opportunities to grow and succeed. We embrace difference, celebrate people for who they are, and for the diversity they bring that helps us better understand and connect with our customers and communities worldwide.