Seagate Hiring Data Science Interns In Pune : Skills , Requirements & Perks !

Seagate Hiring Data Science Interns In Pune : Check Skills , Requirements & Perks !

About Seagate

Our organization specializes in Global Data Analytics and provides comprehensive solutions for Big data, Generative-AI, and MLOps frameworks and deployments. We are a proactive, solution-focused, and collaborative team that partners with various business groups across the organization to deliver end to end solutions.

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Seagate Hiring Data Science Interns In Pune : Skills , Requirements & Perks !

Job ID	9368
Job Role	Data Analyst Intern
Education Qualifications	BE/B.Tech or Other Tech Degree
Salary Package	4 to 6 LPA ( After Internship )
Experience	Fresher
Job Location	Pune , Maharashtra
Last apply date	ASAP

Job 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 development of 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 includes Time series , image and Tabular data.
Work on building accelerators and ML frameworks.

Required

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 communications abilities
Ability to motivate people and instill ownership, reliability, teamwork, and commitment in the team.
Excellent interpersonal skills to develop relationships with different teams and peers in the organization.

Added Advantage

Experience with machine learning frameworks tools like scikit-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.

Pune Location Perk

Our site in Pune is dynamic, both in our cutting-edge, innovative work, as well as 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. Take a break from your workday and participate in one of our many walkathons or compete against your colleagues in carrom, chess and table tennis. Learn about a technical topic outside your area of expertise at one of our monthly Technical Speaker Series, or attend one of the frequent onsite cultural festivals, celebrations, and community volunteer opportunities.