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

AI & ML Expertise:

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.).