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:
- Aid in the implementation of end-to-end ML pipelines and the provision of scalable production Machine Learning services.
- Cooperate with machine learning engineers to construct scalable data pipelines and develop new ML models.
- Utilize MLops tools to bolster ML workflows, encompassing experimentation, training, and production operations.
- Develop and execute tools and procedures for comprehensive ML Ops, covering model development, deployment, serving, monitoring, and experimentation.
- Engage in various analytics streams, including Time series, image, and Tabular data.
- Contribute to the creation of accelerators and ML frameworks.
Eligibility Criteria:
- As a passionate professional, you thrive on the challenge of integrating the rapidly evolving technology landscape of Generative AI with the intricate and impactful realm of HiTech and Manufacturing analytics.
- You possess a strong inclination for continuous learning, innovative thinking, and a proactive approach to scrutinizing both problems and solutions, with the aim of comprehending and resolving them more effectively.
- Your meticulous attention to detail, adept organizational skills, and proficient time management abilities are unwavering. Additionally, you demonstrate excellent verbal and written communication skills, enabling clear and effective interaction.
- You have the capability to inspire individuals and cultivate a sense of ownership, reliability, teamwork, and dedication within the team.
- Your exceptional interpersonal skills allow you to foster relationships with various teams and colleagues across the organization.
Preferred skills:
- Proficient in utilizing 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 or AWS.
- Skilled in at least one primary programming language (e.g., Python, Scala, Java) and proficient in SQL or its variants.
- A collaborative coder who is adept at using Git and participating in code reviews.
- Possesses a strong understanding of data management and data mining architecture.
- Demonstrates the ability to proactively identify and address 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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