Artificial Intelligence/Machine Learning Data Engineer

What you'll do

• Design and develop large-scale data pipelines using Spark, Databricks, or similar technologies.
• Operationalize AI agents and machine learning solutions for enterprise automation initiatives.
• Deploy ML models securely and reliably in a regulated environment using tools like MLflow or Azure ML.
• Build scalable vector databases and optimize embeddings for retrieval augmentation (RAG) patterns.
• Integrate AI agents with enterprise APIs, microservices, and workflow systems efficiently.
• Implement CI/CD pipelines, automated testing, code reviews, and deployment automation processes.

What we're looking for

• 5+ years of experience in data engineering, ML engineering, AI engineering, or software engineering.
• Strong proficiency in Python, SQL, and an additional programming language like Scala, Java, or Go.
• Hands-on experience designing AI agents and toolchains using frameworks such as LangChain, Semantic Kernel, LlamaIndex, AutoGen.
• Expertise in deploying machine learning models with MLflow, Azure ML, SageMaker, Kubeflow, or similar platforms.
• Proficiency in building scalable data pipelines using Spark, Databricks, or equivalent technologies.
• Knowledge of responsible AI concepts including model fairness, bias detection, and safety filters.