GenAI - Lead

Job Description

About Us:

At Innovapptive, we are bringing the industrial front-line worker, back-office and assets together. Our platform is the only patented and Code-Free connected worker platform for SAP and IBM Maximo and is disrupting and digitizing archaic, tedious, labor intensive paper-based processes for maintenance, operations, supply chain. The industrial front-line workers are empowered with a suite of highly reconfigurable mobile apps, while the back-office has real-time visibility into the front-line workforce with better planning, scheduling, adoption monitoring and actionable insights. Some of the world s largest brands such as Newmont Mining, Dominion Nuclear, Hess, Shell, UNICEF, ConocoPhillips, Reckitt Benckiser are digitally transforming their back-office and front-line industrial worker experiences. We are saving companies millions of dollars by improving their asset uptime, productivity, safety, and talent challenges, while delivering jobs better, faster, cheaper and safer.

We are backed by Tiger Global Management, a Global Marquee Fund with over $30 Billion of Assets Under Management (AUM). Tiger Global Management has a reputation of investing and building some of the worlds "Unicorn" brands such as Spotify, Netflix, Facebook, LinkedIn, Amazon, Peloton, Harrys, Ola, Flipkart, Freshworks and many more!

Recently we have announced our Series B funding led by Vista Equity Partners, a leading global technology investor, with participation from Tiger Global Management, our existing Series A investor. Vista invests in mission-critical software businesses that have a clear purpose and a demonstrated track record of success, such as Innovapptive.

Our mission is made possible by Innovapptive s most important asset: our people. We come together through collaboration and ambition in a team-driven culture. Through the success of our product, we have seen monumental growth in our workforce, and we constantly look for exceptional talent to join us. At Innovapptive, you are challenged with dynamic tasks that drive your professional development and career growth. Join us on our journey to deliver an innovative connected worker experience and to empower 350 Million Industrial Front-Line Workers around the world with the ability to truly harness the power of connected worker experience by improving the working life of a front-line worker and the back-office employee.

The Role

The AI Lead will be responsible for leading the research, development, and optimization of generative AI models, driving technical leadership within the AI team, and ensuring scalable, high-performance AI architectures. This role requires expertise in machine learning, deep learning, and AI system design, along with the ability to manage cross-functional collaborations.

How You Will Make an Impact:

AI Research Development

• Design, develop, and fine-tune state-of-the-art generative AI models (e.g., GPT, Stable Diffusion, DALL E, BERT, LLaMA, T5, etc.).
• Optimize LLMs, multimodal AI, and other generative models for performance, efficiency, and scalability.
• Stay up to date with the latest advancements in the Generative AI domain.
• Implement techniques such as transfer learning, model compression, reinforcement learning (RLHF), and adversarial training.

• Lead and mentor a team of AI engineers.
• Define and enforce best practices for AI model development, MLOps, and deployment.
• Collaborate with cross-functional teams, including product, design, data engineering, and software engineering.
• Drive AI project roadmaps and ensure timely execution while balancing research and productization.

• Design and implement scalable, high-performance AI architectures for real-world applications.
• Work with cloud-based AI services (AWS, GCP, Azure) and on-premise solutions to deploy AI models.
• Ensure AI models are optimized for low latency, cost efficiency, and high throughput.

• Oversee data collection, augmentation, and preprocessing pipelines for training generative AI models.
• Implement self-supervised learning, synthetic data generation, and data labeling strategies.
• Ensure AI models comply with data privacy regulations (GDPR, CCPA, etc.).

• Implement real-time monitoring, logging, and debugging for AI models in production.
• Conduct A/B testing and user feedback loops to enhance AI performance.

What You Bring to the Team:

• 7+ years of experience in AI/ML engineering, including research, model development, and deployment.
• Strong background in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Expertise in optimizing large-scale machine learning models for efficiency and performance.
• Experience in leading AI teams and managing end-to-end AI lifecycle development.
• Familiarity with cloud-based AI solutions (AWS, GCP, Azure) and MLOps best practices.
• Strong understanding of data privacy laws and ethical AI considerations.
• Minimum Bachelors Degree in Computer Science, AI, Machine Learning, or a related field. Master s/Ph.D. preferred.

What We Offer:

• A positive, open, and highly-innovative environment and team
• Entrepreneurial spirit with unlimited opportunity to grow
• Opportunity to work with leading global brands on exciting and impactful projects
• Competitive Base Pay
• Best of plan on Vacation Paid Time Off.
• Provision of Medical Insurance for family - self, dependent, spouse, dependent children, parents/parent-in-laws
• Paid Maternity and Paternity leave
• Bi-annual reviews to ensure transparency and promoting high performance culture
• OKR Driven Performance Development Environment
• Learning Development - access to wide range of e-Learning courses (technical, Product, Process, etc.,)
• A host of Interest Groups/Clubs for Book Reading, Toastmasters, Sports - Cricket, Volleyball, Throw-ball, Badminton, TT, Music

Innovapptive does not accept and will not review unsolicited resumes from search firms .

Innovapptive is an equal opportunity employer and is committed to a diverse and inclusive workplace. Qualified applicants will receive consideration for employment without regard to race, color, religion or creed, alienage or citizenship status, political affiliation, marital or partnership status, age, national origin, ancestry, physical or mental disability, medical condition, veteran status, gender, gender identity, pregnancy, childbirth (or related medical conditions), sex, sexual orientation, sexual and other reproductive health decisions, genetic disorder, genetic predisposition, carrier status, military status, familial status, or domestic violence victim status and any other basis protected under federal, state, or local laws.