Seagate Career 2024 Invites Students From Various Disciplines to apply for the Position of
Intern – Data Science in Pune, India. Below you will find more details about what you need to know if you are Interested and Eligible
Seagate Recruitment Details :-
| Company Name: | Seagate |
| Post Name: | Intern – Data Science |
| Salary: | INR 30K-50K/Month (via Glassdoor) |
| Degree: | Bachelor’s/Master’s Degree |
| Batch: | 2020/2021/2022/2023/2024 |
| Experience: | Freshers |
| Job Location: | Pune, India |
Job Description & Responsibilities:-
- 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
Eligibility Criteria:-
- 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
Skills Set:-
- 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
Join Our Telegram Channel: Click Here
Join Our Instagram Page: Click Here
Join Our Linked In Page: Click Here
Join our Official Twitter: Click Here
Apply Link:- Click Here
