Seagate is looking to develop and optimize Large Language Model based analytics solutions to revolutionize business operations in the Global Data Analytics space, specifically in Big data, Generative-AI, and MLOps frameworks and deployments.
Requirements
- proven hands-on or research experience in developing Natural Language Processing models, various aspects of training and deployment of deep learning solutions in TensorFlow or PyTorch
- understanding and experience with generative AI tools, techniques and frameworks: LangChain, LangGraph, and AutoGen, Advanced RAG, …
- robust programming background in Python
- excellent understanding of machine learning algorithms & principles
- familiarity with cloud platforms such as AWS, Google Cloud, or Azure is a plus
- familiarity with SQL
- currently pursuing Masters or PhD degree in Computer Science, Machine Learning Engineering, Statistics, or related fields
Responsibilities
- help develop and optimize Large Language Model based analytics solutions to revolutionize business operations
- leverage commercial ( e.g. Azure Openai ) or open source ( e.g. Llama) LLMs to help end users intuitively and efficiently accelerate their daily workflows
- work on seamless integration of LLM models with existing platforms
- collaborate with machine learning engineers to build scalable data pipelines and development of new ML models
- design and implement tools and processes for the entire ML Ops including model development, model deployment, model serving, model monitoring and experimentation
- collaborate with data scientists, data engineers and Business SMEs to end-to-end Analytics platform and supporting infrastructure
- be part of a product team of about 20 Data science, ML and Platform Engineers that are the crux for developing and maintaining Machine Learning /advanced analytics platforms and Big Data Solutions
Other
- ability to motivate people and instill ownership, reliability, teamwork, and commitment in the team
- excellent interpersonal skills to develop relationships with different teams and peers in the organization
- currently pursuing Masters or PhD degree in Computer Science, Machine Learning Engineering, Statistics, or related fields
- uncompromisingly detail oriented, well organized with solid time management skills, and you have solid, effective verbal and written communications abilities
- travel: none
