Lead AI Engineer

Must Have

- Education: Master or PhD degree in Computer Science, Software Engineering, or a related field

- Experience:
- 10+ years of experience as an AI Engineer, Machine Learning Engineer, Software Engineer, Data Scientist, or a related role
- Proven experience delivering AI solutions from concept and prototyping through industrialization and production deployment
- Experience leading technical initiatives and coordinating cross-functional engineering activities
- Experience translating business and product requirements into implementation plans and technical solutions
- Experience working across multiple AI domains such as computer vision, generative AI, large language models (LLMs), machine learning, or industrial AI
- Experience collaborating with software engineering, systems engineering, product, and customer-facing teams
- Experience mentoring engineers and providing technical guidance within development teams

- Skills
- Strong programming skills, especially in Python
- Strong understanding of software engineering, machine learning, and AI solution development
- Experience with AI frameworks such as PyTorch, TensorFlow, OpenCV, Hugging Face, LangChain, or similar technologies
- Experience designing and delivering production-grade AI systems and applications
- Understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and modern AI architectures
- Good understanding of software architecture, system integration, cloud and edge deployment concepts
- Experience reviewing software designs, code quality, and engineering best practices
- Strong analytical, problem-solving, and decision-making skills

- Leadership
- Ability to provide technical leadership and coordinate engineering activities across multiple disciplines
- Ability to break down complex objectives into actionable work packages and priorities
- Ability to drive execution while balancing innovation, quality, and delivery timelines
- Strong mentoring and coaching capabilities
- Communication:



valuable verbal communication skills, with the ability to convey complex concepts.

Preferred attribute
- Visionary and innovative: ability to act pro-actively and creatively and propose groundbreaking solutions, curiosity for new technologies.
- Pragmatic: focus on solutions to be implemented in serial and industrialized products.
- Adaptable: comfortable working in a fast-paced, dynamic environment.
- Collaborative: Enjoys working across disciplines, functions, and international teams
- Business-oriented: Understands how AI can address customer challenges and deliver measurable impact

Your tasks
- Lead the technical execution of AI initiatives and provide day-to-day technical leadership across AI projects
- Translate business, product, and customer requirements into implementation plans and technical work packages
- Coordinate activities across AI Data Scientists, AI Engineers, AI Data Engineers, and AI Systems Engineers
- Drive the design, development, evaluation, deployment, and industrialization of AI solutions
- Review solution designs, software architecture, implementation approaches, and code quality
- Establish and promote engineering best practices, technical standards, and development processes
- Resolve technical dependencies, implementation challenges, and cross-functional integration issues
- Collaborate closely with software, systems, product, and engineering teams to integrate AI capabilities into products and digital platforms
- Support architectural decision-making and ensure consistency across AI solutions
- Mentor engineers and provide technical guidance across the AI organization
- Facilitate technical alignment meetings, design reviews, and technical knowledge sharing
- Identify technical risks and escalate strategic decisions and critical issues when necessary
- Support innovation initiatives, customer engagements, and pre-sales activities when required

Interested in shaping the future of textile quality assurance? Apply now and join our mission to deliver excellence in every thread.

Selection process:

1st round: Online technical assessment

2nd round: Interview via Teams

3rd round: HR discussion

📌 Lead AI Engineer (Coimbatore)
🏢 Uster Technologies
📍 Coimbatore