Required Skills & Experience
- 5+ years of experience in ML engineering or applied AI roles.
- Strong proficiency with Azure Databricks (PySpark, MLflow, Delta Lake).
- Handson experience building and deploying AI agents or intelligent automation solutions.
- Solid programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikitlearn).
- Experience with Azure Machine Learning, Azure DevOps, and containerization (Docker/Kubernetes).
- Knowledge of data engineering fundamentals and distributed computing.
- Familiarity with LLMOps and techniques for managing large language models in production.
Nice to Have Skills & Experience
- Experience with vector databases, RAG (Retrieval-Augmented Generation), and embeddings for AI agents.
- Exposure to Generative AI platforms (e.g., OpenAI, Hugging Face, Azure OpenAI Service).
- Understanding of Power BI for analytics integration.
- Knowledge of Oracle or other relational databases for hybrid data solutions.
Job Description
Insight Global is seeking a Machine Learning Engineer to design and implement scalable ML solutions on Azure Databricks and build intelligent AI agents that enhance business workflows. This role combines advanced data engineering, model development, and MLOps practices to deliver productiongrade AI systems.
