Automation 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: Experience in business process analysis and documentation. Strong understanding of machine learning and AI technologies. Ability to develop detailed process documentation. Experience with ML integration and deployment in production environments. Familiarity with tools like RPA, ML APIs, and predictive analytics. Knowledge of data privacy, security, and ethical AI standards.

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