JOBS ALERT: Seagate Recruitment Drive
for Intern - Data Science |Pune
Company Name : Seagate
Position : Intern - Data Science
Experience: Fresher’s
Location : Pune
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 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
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