Technology Lead AI Core Team

Who we are:

Ziniers No-Code Customization field service automation platform empowers field service organizations with the combined power of humans and technology to keep our world up and running. No two field service organizations are alikeFrom the IT ecosystem you connect with to the workflows executed in the field your business requirements are unique. And in the fast-paced world of field service those requirements can change rapidly. And thats exactly why you need solve challenges across the entire lifecycle of field work. Off-the-shelf functional but also customizable to meet specific use cases ZiniApps cover the most meaningful jobs to be done in field service installation and are a global team headquartered in Silicon Valley with leading investors including Wipro Telmex Black & Veatch NCR Toshiba and Qualcomm Ventures LLC.
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Role Overview:

This role is a one-of-a-kind opportunity to be part of the core AI group being set up at the India Center for this role you will have the opportunity to be part of and shape the AI story for Zinier worldwide.

We are looking for an accomplished AI Leader with strong hands-on technical depth and proven people leadership skills. This role will lead a small high-impact AI engineering team (25 members) and drive the design development and delivery of AI-native products and solutions. You will play a key role in shaping our AI strategy while remaining deeply involved in architecture and implementation.

Key Responsibilities:

• Provide technical and people leadership to a team of AI engineers ensuring high-quality delivery and continuous growth.
• Lead the end-to-end design and development of AI-powered services and products from concept to production.
• Architect and build scalable reliable and secure AI/ML systems using modern full-stack technologies.
• Drive model selection training evaluation and deployment across use cases.
• Partner with Product Engineering and Business teams to translate requirements into AI-driven solutions.
• Establish best practices for ML lifecycle management experimentation and production readiness.
• Mentor team members on AI/ML fundamentals system design and engineering excellence.
• Stay current with emerging AI technologies frameworks and industry trends.
  
  

Required Qualifications:

• 812 years of overall software engineering experience with 45 years of hands-on AI/ML experience.
• Proven experience leading small technical teams (25 engineers).
• Strong full-stack development background with exposure to backend services APIs and data pipelines.
• Experience delivering AI/ML solutions in production either through service-based projects or AI-native product development.
• Solid understanding of machine learning concepts model lifecycle and system architecture.
• Hands-on experience with modern AI/ML frameworks (e.g. PyTorch TensorFlow Hugging Face etc.).
• Strong problem-solving skills and ability to make architecture and trade-off decisions.

Nice to Have:

• Experience building or scaling AI-first platforms or products.
• Exposure to MLOps cloud-based AI systems and distributed architectures.

Prior experience working in fast-paced or startup environments.