MTS -3 AI ML
Pure StoragePosted June 4, 2025
Bangalore, India
Full Time
Job Description
The MTS AI ML Engineer will develop and implement generative AI applications to transform business operations, leveraging advanced research, model fine-tuning, and custom application development using cutting-edge LLM technologies. The role involves collaborating with teams to create innovative AI solutions that enhance productivity, optimize processes, and address complex business challenges.
Responsibilities
- •Contribute to the development and implementation of generative AI applications to transform business operations.
- •Research, experiment with, and adopt cutting-edge generative AI technologies and models.
- •Develop, fine-tune, and deploy custom generative AI solutions addressing complex business problems.
- •Evaluate and optimize large language models (LLMs) using best practices in prompt engineering and security.
- •Collaborate with product teams and stakeholders to design and deliver integrated GenAI solutions.
Requirements
- •Strong familiarity with language models (LLMs) and practical experience building applications with LLMs.
- •Solid understanding of LLM evaluation techniques and prompt management strategies.
- •Hands-on experience with frameworks such as Langchain, Langgraph, or Llama Index.
- •Proven experience with foundational models such as Claude, OpenAI, or similar models.
- •Understanding of LLM security challenges and best practices.
- •Experience with Model Context Protocol and building secure applications using it is a plus.
- •Understanding of systems side of LLM inference and serving of open source models.
- •Familiarity with Python programming language.
- •Basic knowledge of software development tools such as Git and JIRA.
- •Understanding of machine learning concepts and experience with frameworks like TensorFlow or PyTorch.
- •Introductory knowledge of cloud computing and containerization technologies.
- •Ability to work with data storage solutions including SQL, NoSQL, and Hadoop.
- •Knowledge of software engineering practices, including version control and CI/CD.
Benefits
- •Flexible time off
- •Wellness resources
- •Company-sponsored team events
- •Recognition as Fortune's Best Large Workplaces in the Bay Area
- •Recognition as Fortune's Best Workplaces for Millennials
- •Certified as a Great Place to Work
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