ML Engineer I
usource
Job Description
- Design, develop, and maintain Python-based automation solutions to streamline operational processes and improve efficiency.
- Build AI-powered applications and intelligent workflows using Generative AI technologies and Large Language Models (LLMs).
- Develop and integrate automation frameworks that reduce manual effort and improve business productivity.
- Collaborate with business stakeholders to gather requirements and translate them into scalable digital solutions.
- Design and implement REST APIs and backend services using Python-based frameworks such as FastAPI and Flask.
- Develop AI-driven solutions for intelligent automation, data processing, content generation, and workflow optimization.
- Support Test Data Management (TDM) modernization initiatives through automation and AI adoption.
- Implement data masking, synthetic data generation, and data provisioning solutions.
- Utilize prompt engineering techniques to optimize Generative AI model performance and business outcomes.
- Integrate AI and automation capabilities into enterprise applications and business processes.
- Monitor application performance, analyze user feedback, and continuously enhance solutions.
- Ensure compliance with security, privacy, accessibility, and enterprise governance standards.
- Troubleshoot automation, application, integration, and AI model issues.
- Participate in proof-of-concepts (POCs), innovation programs, and digital transformation initiatives.
- Collaborate with cross-functional teams in Agile environments to deliver reliable, scalable solutions.
- Evaluate emerging AI technologies and recommend innovative approaches to improve platform capabilities.