The AI Engineer/Technical Lead is responsible for designing, developing, and leading
intelligent automation solutions using UiPath's RPA and AI ecosystem. The role
combines hands-on development with technical leadership, ensuring high-quality
delivery of AI-enhanced automation projects.
Key Responsibilities:
Required Skills
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.).
Technical Leads are responsible for activities that contribute to planning, creating, and implementing the IT vision and strategy in alignment with the organization's strategic objectives. They contribute to the development of IT standards, best practices, and technology processes or solutions and often serve as consultants in their domain of expertise. Provide technical expertise to develop and refine methodologies and approaches for their specific field of proficiency; provide thought leadership and advance processes, techniques, and methods; and apply these skills and frameworks to solve business problems and achieve organizational objectives. Analyze trends, assess the impact of emerging ideas, practices, and technologies on the business, provide solutions to address technology and business issues, and may manage financial resources while ensuring the development of high-quality solutions. Additionally, they function with autonomy and establish strategic and lasting relationships with key internal and external stakeholders to drive satisfaction with technology capabilities.
QUALIFICATIONS