Associate AI Engineer

Description :

Basic Qualifications :

- Bachelors 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.