Machine Learning Integration Engineer

The Analyst is responsible for evaluating and optimizing business processes through AI and ML technologies, ensuring efficient deployment and integration, and leading improvement initiatives.

Responsibilities :

• Analyze and document existing business processes to identify inefficiencies, redundancies, and AI / ML-driven improvement opportunities.
• Translate business requirements into clear ML feature requirements and data needs.
• Develop process documentation, including process maps, requirements specifications, data flow diagrams, and technical documentation.
• Identify and implement AI / ML-driven process enhancements such as classification, prediction, anomaly detection, and forecasting.
• Partner with IT for the deployment, integration, and monitoring of ML models in production.
• Lead proof-of-concept (PoC) and pilot projects and support model evaluation, performance tracking, and iteration cycles.
• Drive process standardization, intelligent automation, and continuous improvement initiatives using tools like RPA, ML APIs, and predictive analytics.
• Ensure compliance with data privacy, security, and ethical AI standards throughout the ML lifecycle.
• Provide training and change management support for new AI / ML-enabled processes to teams.

Requirements :