Seagate is hiring for the position of Intern – Machine Learning/ 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 – Machine Learning/ Intern- Data Science |
| Qualifications | Bachelor’s/ Master’s Degree |
| Batch | 2021/ 2022/ 2023/ 2024 |
| Experience | Freshers |
| Location | Pune, India |
Key Responsibilities for Intern – Machine Learning:
- Contribute to the development and enhancement of analytics solutions based on Large Language Models, aiming to innovate business operations.
- Collaborate within a product team comprising 6-8 Data Science, Machine Learning, and Platform Engineers, pivotal in the development and upkeep of Machine Learning/advanced analytics platforms and Big Data solutions.
- Utilize ChatGPT/OpenAI, Azure OpenAI, Google Vertex AI, or other open-source Large Language Models (LLMs) to facilitate intuitive and efficient access to extensive databases for users.
- Focus on achieving seamless integration of LLM models with existing platforms for enhanced functionality.
- Work closely with data scientists, data engineers, and Business Subject Matter Experts (SMEs) to establish end-to-end Analytics platforms and supporting infrastructure.
Key Responsibilities for Intern- Data Science:
- Aid in the implementation of end-to-end ML pipelines and the provision of scalable production Machine Learning services.
- Work alongside 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.
- Devise and execute tools and procedures for the entire ML Ops spectrum, spanning model development, deployment, serving, monitoring, and experimentation.
- Engage in multiple streams of analytics, including Time series, image, and Tabular data.
- Contribute to the creation of accelerators and ML frameworks.
Eligibility Criteria:
- Proficient interpersonal skills for fostering relationships with various teams and colleagues within the organization.
- A dedicated professional poised to navigate the rapidly evolving technology landscape of Generative AI within the intricate realms of HiTech and Manufacturing analytics.
- Demonstrated eagerness for continuous learning, innovation, critical thinking, and a penchant for scrutinizing problems and solutions to enhance understanding and efficacy.
- Proficiency with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Familiarity with machine learning lifecycle platforms like Kubeflow, MLflow, and cloud data services like GCP or AWS.
- Competency in at least one major programming language (e.g., Python, Scala, Java) and SQL (any variant).
Preferred skills:
- A collaborative coder proficient in Git and adept at code reviews.
- Sound understanding of data management and data mining architecture.
- Capability to proactively identify and address issues as they arise.
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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