Online applications are invited for the Data Science Internship at Seagate Pune. Check the details and other details below!
About Seagate
With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape. We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.

Seagate is powered by our talented, passionate, and diverse workforce of 40,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.
Overview
Seagate specializes in Global Data Analytics and provides comprehensive solutions for Big data, generative AI, and MLOps frameworks and deployments. They are a proactive, solution-focused, and collaborative team that partners with various business groups across the organization to deliver end-to-end solutions.
Role
- Assist with implementing end-to-end ML pipelines and deliver scalable production Machine learning services.
- Collaborate with machine learning engineers to build scalable data pipelines and develop new ML models.
- Leverage MLops tools to support ML workflows including experimentation, training and production operations.
- Design and implement tools and processes for the entire ML Ops including model development, model deployment, model serving, model monitoring and experimentation.
- Work on multiple streams of analytics which include Time series, image and Tabular data.
- Work on building accelerators and ML frameworks.
Desired Skill Sets
- You’re a passionate professional who is up to the challenge of blending the fast-changing technology landscape of Generative AI with the complex and high-impact space of HiTech and Manufacturing analytics.
- Strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better.
- You’re uncompromisingly detail-oriented, well organized with solid time management skills, and you have solid, effective verbal and written communication abilities.
- Ability to motivate people and instil ownership, reliability, teamwork, and commitment in the team.
- Excellent interpersonal skills to develop relationships with different teams and peers in the organization.
Experience
- Experience with machine learning frameworks tools like sci-kit-learn, TensorFlow, or PyTorch.
- Experience with machine learning lifecycle platforms (Kubeflow, MLflow) and cloud data services (GCP, AWS)
- Experience in at least one major programming language (e.g. Python, Scala, Java) and SQL (any variant)
- A collaborative coder, comfortable with Git and code reviews.
- Good Knowledge of data management and data mining architecture.
- Ability to proactively identify and resolve issues.
How to Apply?
Interested candidates can directly apply through this link.
Stipend
₹ 5,64,854 per annum.
Note: Stipend information is taken from here!
Location
Pune, India
Seagate site in Pune is dynamic, both in our cutting-edge, innovative work, our vibrant on-site food, and athletic and personal development opportunities for our 400+ employees. You can enjoy breakfast, lunch, or dinner from one of four cafeterias in the park.