Seagate Internship 2024 Hiring Intern – Data Science

Seagate Internship 2024
Seagate Internship 2024

Seagate Internship 2024: Seagate is thrilled to offer an exciting internship opportunity in Data Science as part of our 2024 hiring program. Join us and gain hands-on experience in one of the world’s leading data storage and management companies. As a Data Science intern, you’ll work closely with our team of experts, leveraging cutting-edge technologies to extract insights from vast amounts of data. Dive into real-world projects, sharpen your analytical skills, and make meaningful contributions to Seagate’s innovative solutions.

About Seagate:

Seagate Technology is a global leader in data storage solutions, playing a crucial role in the development of advanced hard disk drives, solid-state drives, and enterprise storage systems. Since its founding in 1978, Seagate has been at the forefront of the storage industry, providing reliable and innovative solutions to meet the growing data demands of the digital world. The company’s products are essential in a wide array of applications, from consumer electronics to data centers and cloud-based computing systems.

Seagate Internship 2024:

Company Name: Seagate Technology

Website: Seagate

Wikipedia: Seagate Wiki

Position: Intern- Data Science

Degree Needed: B.E/B.Tech

Passout Year: 2023/2024

Work Location: Pune, India

Experience Required: 0-1 Year

Salary: Best In Industry

Jobs By Location And Passout Year:

PuneHyderabad Delhi
MumbaiCoimbatore Noida
BangaloreChennai Off Campus
NagpurGurgaon Walk In
2015 Batch2018 Batch2021 Batch
2016 Batch2019 Batch2022 Batch
2017 Batch2020 Batch2023 Batch

About our group:

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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About you:

  • 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

Your Experience Includes:

  • 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

About the role – you will:

  • 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

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How to Apply for Seagate Internship 2024?

Interested and eligible candidates can apply for the Seagate Internship 2024 online via the provided link.

Apply Now: Link

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