Seagate Technology Intern Hiring Machine Learning

Intern – Machine Learning (Gen AI)

About Our Group: Our team specializes in Global Data Analytics, offering comprehensive solutions for Big Data, Generative AI, and MLOps frameworks and deployments. We are a proactive, solution-focused, and collaborative group that partners with various business units across the organization to deliver end-to-end solutions.

About the Role: As an intern, you will:

• Develop and optimize Large Language Model (LLM)-based analytics solutions to revolutionize business operations.
• Be part of a product team comprising 6-8 data science, ML, and platform engineers who develop and maintain machine learning/advanced analytics platforms and big data solutions.
• Leverage ChatGPT/OpenAI, Azure OpenAI, Google Vertex AI, or other open-source LLMs to help users intuitively and efficiently access large databases.
• Work on the seamless integration of LLM models with existing platforms.
• Collaborate with data scientists, data engineers, and business SMEs to develop end-to-end analytics platforms and supporting infrastructure.

About You:

• Excellent interpersonal skills for developing relationships with different teams and peers in the organization.
• Passionate about 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 outside the box, and questioning problems and solutions with the intent to understand and improve.
• Detail-oriented, well-organized, with solid time management skills and effective verbal and written communication abilities.
• Ability to motivate people and instill ownership, reliability, teamwork, and commitment within the team.

Your Experience Includes:

• Proven hands-on or research experience in developing Natural Language Processing models.
• Understanding of generative AI tools and techniques.
• Strong programming background in Python.
• Familiarity with SQL.
• In-depth knowledge and working experience in training and deploying deep learning solutions using TensorFlow or PyTorch.

Location: Our Pune site is dynamic, offering cutting-edge, innovative work along with vibrant on-site amenities for our 400+ employees. Enjoy meals from one of four cafeterias in the park, participate in walkathons, or compete in carrom, chess, and table tennis. Learn about technical topics outside your area of expertise at our monthly Technical Speaker Series or join frequent on-site cultural festivals, celebrations, and community volunteer opportunities.

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