Seagate | Advertisement for the Post of Data Science Intern, Apply ASAP!

Overview: 

Seagate is currently accepting applications for the position of Data Science Intern. If you're passionate about data science and eager to gain hands-on experience, we encourage you to apply.

 

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

 

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 communication 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 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

 

Location:

Pune, India

How to apply Apply Here




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