AI/ML Engineer (Azure & Databricks)

Responsibilities:

• Design, develop, and maintain scalable and robust machine learning pipelines on Azure Databricks.
• Implement and optimize ML workflows, including data ingestion, feature engineering, model training, evaluation, and deployment.
• Utilize Azure Machine Learning (Azure ML) services for model management, experimentation, and MLOps best practices (e.g., MLflow).
• Develop and deploy Large Language Models (LLMs) and Generative AI (GenAI) solutions on Databricks, including RAG architectures and fine-tuning.
• Work with PySpark, Python, and SQL for data processing, analysis, and model development.
• Monitor and troubleshoot deployed models, ensuring data quality, model performance, and detecting drift

Required Skills & Qualifications:

• 2+ years of hands-on experience in AI/ML engineering, with a strong focus on MLOps and cloud-based deployments.
• Proven expertise with Azure Databricks and its ecosystem (Delta Lake, MLflow, Unity Catalog).
• Proficiency in Python (including PySpark) and SQL.
• Experience with Azure Machine Learning services.
• Strong understanding of machine learning algorithms, deep learning concepts, and statistical analysis.
• Experience with building and deploying Generative AI/LLM solutions is highly desirable.
• Excellent problem-solving, communication, and collaboration skills.