Technical Lead I-AI Engineer

Key Responsibilities

• Lead design and development of UiPath automation solutions, including AI Center and Document Understanding.
• Build and deploy AI/ML models to enhance automation accuracy and efficiency.
• Integrate workflows with APIs, databases, cloud services, and enterprise systems.
• Provide technical leadership, code reviews, and mentorship to RPA developers.
• Collaborate with business teams to assess processes, define requirements, and deliver scalable solutions.
• Oversee deployment, monitoring, and optimization through UiPath Orchestrator.
• Troubleshoot issues, maintain existing automations, and ensure best practices and governance.

Required Skills

• Strong problem-solving, leadership, and communication skills.
• Strong expertise with UiPath Studio, Orchestrator, AI Center, Document Understanding, and Action Center.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Experience with OCR technologies (Document Understanding, ABBYY, Google Vision, Azure Form Recognizer).
• Knowledge of API integration, REST/SOAP services, SQL/NoSQL databases.
• Understanding of cloud platforms (Azure/AWS/GCP) and containerization (Docker).
• Familiarity with Git, CI/CD pipelines, and DevOps for automation.
• Design and build custom ML models (Python, TensorFlow, PyTorch, Scikit-Learn) to solve business-specific problems.
• Fine-tune and optimize models for accuracy, performance, and scalability.
• Manage model lifecycle: training, retraining, versioning, monitoring, and drift detection.
• Utilize GenAI, NLP, LLM-based solutions to enhance automation (ChatGPT-like assistants, classification models, summarization tools, etc.).