Seagate is hiring for the position of Intern – Data Science in Pune, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
| Company Name | Seagate |
| Position | Intern – Data Science |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | Recent Batches |
| Experience | Freshers |
| Location | Pune, India |
Key Responsibilities:
- Assist in the implementation of end-to-end ML pipelines and deliver scalable production Machine Learning services.
- Collaborate with machine learning engineers to construct scalable data pipelines and develop new ML models.
- Utilize MLops tools to facilitate ML workflows, encompassing experimentation, training, and production operations.
- Design and execute tools and processes for the entire ML Ops lifecycle, covering model development, deployment, serving, monitoring, and experimentation.
- Engage in multiple streams of analytics, including time series, image, and tabular data.
- Contribute to the development of accelerators and ML frameworks.
Eligibility Criteria:
- Demonstrates a passionate and professional commitment to navigating the dynamic technology landscape of Generative AI within the challenging domains of HiTech and Manufacturing analytics.
- Displays a strong desire for continuous learning, innovative thinking, and a proactive approach to problem-solving, aiming to understand and address challenges and solutions comprehensively.
- Exhibits an unwavering attention to detail, excellent organizational skills, adept time management abilities, and effective verbal and written communication skills.
- Capable of motivating team members and fostering a culture of ownership, reliability, teamwork, and commitment within the team.
- Possesses excellent interpersonal skills necessary for building relationships with various teams and peers across the organization.
Preferred skills:
- Proficiency with machine learning frameworks and tools such as scikit-learn, TensorFlow, or PyTorch.
- Familiarity with machine learning lifecycle platforms like Kubeflow, MLflow, and cloud data services such as GCP and AWS.
- Experience in at least one major programming language (e.g., Python, Scala, Java) and SQL (any variant).
- Collaborative coding skills, comfortable with Git usage and participating in code reviews.
- Strong understanding of data management and data mining architecture.
- Ability to proactively identify and resolve issues.
About Company:
At Seagate, we’re storing, protecting, and activating the world’s data as explosive growth in cloud, AI, and machine learning drive the demand for breakthrough technology and mass-capacity storage solutions. It starts with innovation—where we put some of the most sophisticated nanoscale engineering and material science on the planet to work while bringing circularity and sustainability to our products. The result is industry-leading areal density that powers a full portfolio of devices, systems, and services for every data-driven ecosystem imaginable – from edge to cloud. Inspired by our values, we push beyond what’s possible to create breakthrough technology so that you can safely store your data, and easily unlock its value. Learn more at Seagate.com.
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