AI Solution Engineer
Core
Design, build, and deploy end-to-end AI and machine learning solutions to solve real business problems and unlock insights from complex data.
Role type
AI Solution Engineer (MLOps)
Builds
Scalable, maintainable, and secure AI/ML solutions integrated into enterprise systems and workflows.
Domain
Financial services / Responsible AI
Deliverable
production ML models
Required skills
Python, SQL, machine learning techniques, statistics, model evaluation, cloud platforms (Azure, Fabric, Databricks), MLOps, CI/CD, data governance, responsible AI principles
Preferred skills
Generative AI, NLP, model observability, model risk management, enterprise application integration
Technologies
Microsoft Azure, Microsoft Fabric, Databricks
Responsibilities
Design and deploy end-to-end AI/ML solutions; translate business problems into analytical approaches; explore and analyze structured and unstructured data; develop and optimize ML models for classification and prediction; partner with engineers to integrate models into enterprise systems; contribute to MLOps and DevOps practices; support testing, deployment, and monitoring; embed responsible AI principles; document models and solution designs.
Seniority
Mid-level, hands-on IC
