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:
- Support the implementation of end-to-end machine learning (ML) pipelines and ensure the delivery of scalable production ML services.
- Collaborate closely with machine learning engineers to construct scalable data pipelines and facilitate the development of novel ML models.
- Utilize MLops tools to bolster ML workflows, encompassing experimentation, training, and production operations.
- Devise and execute tools and procedures for comprehensive ML Ops, spanning 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:
- You are an enthusiastic professional ready to navigate the dynamic landscape of Generative AI within the intricate realm of HiTech and Manufacturing analytics.
- Possess a strong enthusiasm for continuous learning, innovative thinking, and the ability to critically assess problems and solutions with a focus on improvement.
- Demonstrate meticulous attention to detail, strong organizational skills, effective time management abilities, and proficient verbal and written communication skills.
- Exhibit the capability to inspire and empower team members, fostering a culture of ownership, reliability, teamwork, and dedication.
- Display excellent interpersonal abilities to cultivate relationships with various teams and peers within the organization.
Preferred skills:
- Proficiency with machine learning frameworks and tools such as scikit-learn, TensorFlow, or PyTorch.
- Familiarity with machine learning lifecycle platforms such as Kubeflow, MLflow, and cloud data services like GCP or AWS.
- Experience in utilizing at least one major programming language (such as Python, Scala, or Java) and SQL in any variant.
- A collaborative coder, comfortable with Git and engaging in code reviews.
- Sound 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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