Senior ML Ops Engineer

Roche fosters diversity, equity and inclusion, representing the communities we serve.

When dealing with healthcare on a global scale, diversity is an essential ingredient to success.

We believe that inclusion is key to understanding peoples varied healthcare needs.

Together, we embrace individuality and share a passion for exceptional care.

Join Roche, where every voice matters.

The Position.

Senior ML Ops Engineer.

Roche India Roche Services & Solutions.

Hyderabad.

A healthier future.

Its what drives us to innovate.

To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come.

Creating a world where we all have more time with the people we love.

Thats what makes us Roche.

Roche has established Global Analytics and Technology Center of Excellence (GATE) to drive analytics & technology driven solutions by partnering with Roche affiliates across the globe.

To know more about us, visit https://www rocheindia com/en/About_Roche/GATE.

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Your Opportunity.

The Senior ML Ops Engineer will play a crucial role in ensuring the accuracy, performance, and stability of machine learning models used for forecasting and analytics.

This role involves continuous monitoring, maintenance, and improvement of ML pipelines, Docker images, and data synchronization processes to support reliable predictions and decision-making.

Own and build MLOPs tasks .

Perform in-depth analysis of forecasting model accuracy.

Identify and fix issues causing low accuracy.

Automate Model and Data Drift.

Design and operationalize Model Pipeline and Docker Maintenance.

Improve Model performances with enhancements.

Export results in a wide format for monthly reporting and analysis.

Eventing -.

Upload and process monthly CSV data into the database.

Implement eventing logic to derive insights from data.

Continuously improve eventing code logic for better results.

Who You Are.

You hold a bachelor's degree (B Tech/ BE / Computer Science) and 6+ years of experience in Data Science with specializations in MLOPs.

Preferably, you have a Master's degree (Data Science, Machine Learning, Statistics, Economics/Econometrics, Computer).

Any certifications on AI/ML/Data science would be an added advantage.

Should have experience in AWS , Python, GitLab CI, Github Actions, Airflow or similar tools.

General understanding of AGILE Project Delivery process.

Excellent written and verbal communication skills for coordinating across teams.

Knowledge of US/Europe pharmaceutical market and experience with pharmaceutical data would be a plus.

Who we are.

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare.

Working together, weve become one of the worlds leading research-focused healthcare groups.

Our success is built on innovation, curiosity and diversity.

Roche is an Equal Opportunity Employer.

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