Job Summary
Experience:
2.00 - 6.00 Years
Industrial Type:
IT-Software/Software Services
Location:
Chennai
Functional Area:
IT Software - Other
Designation:
Associate AI Engineer/ AI Engineer
Key Skills:
Gen AI
Educational Level:
Graduate/Bachelors
Job Post Date:
2025-10-10 14:49:07
Stream of Study:
Degree:
BE-Comp/IT, BE-Other, BTech-Comp/IT, BTech-Other, MCA, ME-Comp/IT, ME-Other, MIS, MIT, MSc-Comp/IT, MS-Comp/IT, MSc-Other, MS-Other, MTech-Comp/IT, MTech-Other
Company Description
We’re more than simply paper, ink, and toner. We provide the supplies and services that thousands of businesses around the world need to succeed. We’re the experts in technology and conferencing equipment, cleaning products, furniture, and even breakroom items like snacks and coffee, too. (After all, innovation requires plenty of fuel!) This is a company of more than 13,000 smart, insightful experts who believe in the power of what can be and are driven to make business easier for our customers.
Job Description
Basic Qualifications
• Bachelor’s degree in Computer Science, AI/ML, or a related quantitative field.
• 3–5 years of experience in AI/ML engineering, with hands-on exposure to GenAI, LLMs, NLP, and agentic architectures.
• Proven experience deploying enterprise-grade AI agents, including pre-launch testing, HITL workflows, and business UAT sign-off.
• Familiarity with multi-modal AI (text, image, audio) and unstructured data processing using Databricks Genie, AI Foundry, and AI Search.
• Experience working in agile, cross-functional teams and delivering measurable impact through automation and intelligent systems.
Duties & Responsibilities
• Translate business requirements into scalable and well-documented AI/ML pipelines using Databricks, Azure AI, and Snowflake.
• Design and deploy GenAI-powered applications using pretrained models (e.g., GPT-4, LLaMA) for tasks such as text generation, summarization, code synthesis, and personalization.
• Build and orchestrate agentic AI workflows using frameworks like LangChain, OpenAI Agents SDK, and Databricks Genie, enabling autonomous task execution and multi-agent collaboration.
• Integrate GenAI models into enterprise applications with Human-in-the-Loop (HITL) validation and feedback loops for production readiness.
• Conduct model selection, fine-tuning, and evaluation using MLflow, ONNX, and custom batch testing frameworks.
• Develop and maintain data pipelines for feature engineering, model training, and inference using DBT, Spark, Airflow, and Azure Data Factory.
• Monitor and troubleshoot production deployments, addressing model drift, latency, and data quality issues.
• Ensure responsible AI operations through governance, observability, and guardrail management using Unity Catalog, Azure AI Guardrails, and OpenTelemetry.
