Seagate is hiring for the role of Data Science Intern!
Responsibilities of the Intern:
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 include Time series, image, and Tabular data.
Work on building accelerators and ML frameworks.
Bachelor’s/master’s degree in data science, engineering, or equivalent.
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.
Strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better.
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.
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