AI/ML OPs Engineer - Infosys Limited : Job Details

AI/ML OPs Engineer Associate Data Scientist

Infosys is seeking a AI/ML OPS Engineer with a strong background in designing and deploying machine learning models using the MLOPS framework. The ideal candidate will work with clients to understand their issues, diagnose problems, design solutions, and facilitate deployment on Azure ML. The role also involves shaping value-adding consulting solutions by integrating various cloud components. The candidate should be able to evaluate multiple solutions considering stakeholder needs to select the optimal one.

Required Qualifications:

• Residency within commuting distance of Richardson, TX, Raleigh, NC, Tempe, AZ, Hartford, CT, Indianapolis, IN or willingness to relocate. US travel may be required.
• Bachelor's degree or equivalent; three years of progressive experience can substitute for each year of education.
• Minimum of 4 years in Information Technology.
• Experience in AI, MLOPS, LLM, RAG, NLP, APIs, real-time data retrieval, reinforcement learning.
• Proficiency in Python for ML model deployment, adhering to clean code standards.
• Experience with Azure or GCP cloud environments.
• Experience setting up MLOps frameworks, monitoring, and dashboarding.
• At least 2 years in DevOps and MLOps industry standards and operations KPIs.
• Authorized to work in the US; encouragement for all eligible applicants to apply.

Preferred Qualifications:

• Knowledge of techniques like LoRA, PEFT, RLHF.
• Familiarity with tools such as Arize, Aporia, Dynatrace.
• Experience with vector databases like Pinecone, Weaviate.
• Agile experience, team management, and JIRA proficiency.
• Strong client communication skills.
• Domain expertise in Retail, CPG, Logistics.
• Experience with TDD, Pytest, git, REST APIs.

The role may involve extensive travel and work at a computer for long periods. Effective communication skills are essential.

About Us:

Infosys is a global leader in digital services and consulting, helping clients navigate digital transformation with an AI-powered core and agile digital solutions. We promote equal employment opportunities regardless of race, gender, or other protected statuses.