Data Scientist- AzureML/SageMaker

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us!

Job Description

Summary:
· Collaborate with engineers, product managers, and operations leaders to build predictive maintenance models, improve manufacturing throughput, and drive cost savings.

· Work on anomaly detection, quality control, and forecasting use cases within our IIoT platform.
 

Your Responsibilities:

· Design and implement scalable ETL pipelines and ML workflows using platforms like AzureML, AWS SageMaker.

· Develop and deploy time-series models for forecasting and anomaly detection.

· Apply classical ML techniques such as regression, decision trees, clustering, and deep learning to solve business problems.

· Collaborate with cross-functional teams to translate business requirements into data science solutions.

· Contribute to model monitoring, performance tuning, and continuous improvement.

· You will report to Lead Sr Solution Architect of the function and will work from our Electronics City, Bengaluru Office in Hybrid work model.
 

The Essentials - You Will Have:

· 2–5 years of experience in data science or machine learning roles.

· Proven experience with cloud ML platforms (AzureML, SageMaker, or equivalent).

· Strong understanding and hands-on experience with time-series modeling and forecasting techniques.

· Solid foundation in classical ML algorithms (e.g., regression, decision trees, clustering, deep learning).

· Proficiency in Python, SQL, and ML libraries such as scikit-learn, TensorFlow, or PyTorch.

· Experience building and maintaining ETL pipelines for large-scale data processing.
 

The Preferred - You Might Also Have:

· Familiarity with BI tools (Tableau, Looker, Power BI) and MLOps frameworks (MLflow, Kubeflow).

· Familiarity with FastAPI for building and deploying model‐serving endpoints.

· Familiarity working with in Linux Environments.
 

What We Offer:

· Our benefits package includes …

· Comprehensive mindfulness programs with a premium membership to Calm

· Volunteer Paid Time off available after 6 months of employment for eligible employees.

· Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.

· Employee Assistance Program

· Personalized wellbeing programs through our OnTrack program

· On-demand digital course library for professional development

· At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.

#LI-Hybrid

#LI-FR1

Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.