Lead AI Engineer

About Impact Analytics

Impact Analytics is an agentic-first AI software company transforming retail merchandising through cutting-edge AI, LLMs, and Generative AI technologies. As a fast-growing Series D company with deployments across five continents, it is building both industry-leading merchandising solutions and foundational AI agents that are redefining how retail decisions are made.

What makes Impact Analytics unique is its combination of deep retail domain expertise, strong innovation culture, and global presence. It is one of the few India-born AI companies recognized globally by organizations like Fortune, Gartner, and the Inc. 5000.

For candidates looking to work on next-generation AI products with global scale and real-world impact, Impact Analytics is an exciting place to build your career. Here’s a link to our website: www.impactanalytics.co.

The Impact That You Will Be Making

• Solve complex business problems of the global supply chain & retail industry through Machine Learning, especially leveraging Generative AI.
• Build cutting-edge GenAI solutions, leveraging both external assets (OpenAI/GCP Models) and IA’s proprietary models, to address real-world problems efficiently.
• Play a critical role in developing/evolving IA’s industry-disrupting Foundational Model for Forecasting, and integrating the same into various product offerings.
• Deliver AI R&D objectives for one or more projects, and work with other AI architects and CTO to design & develop new Deep Learning/GenAI architectures and algorithms.
• Contribute to the IP generation process in the company, and work towards patenting key inventions.
• Collaborate with various stakeholder groups to identify opportunities for applying GenAI to solve real-world problems.
  
  

• At least 5-9 years in Software & Machine Learning with:
• at least 2-3 years in Generative AI, and
• at least 5-6 years in:
• Deep Learning
• Computer Vision or Natural Language Processing
• Strong conceptual knowledge of:
• Generative modeling techniques (e.g., Autoencoders, Diffusion &Transformer architectures)
• Efficient Fine-tuning mechanisms (e.g., Adapter training, Multi-task learning, etc.)
• Hyperparameter Optimization (especially Bayesian & Multi-fidelity Optimization techniques.)
• Strong understanding of the global GenAI ecosystem, and how it continues to evolve.
• Proficiency in Python, and associated frameworks like TensorFlow or PyTorch.
• Strong communication skills, including the ability to explain advanced technical concepts, ideas, and solutions to both technical and non-technical collaborators.
• Ability to work under minimal supervision and in a fast-paced environment..
• Candidates with prior experience in building or fine-tuning LLMs will be given preference.
• Candidates with Masters or Ph.D. in computing/systems, mathematics, machine learning or related areas will be preferred.
  

• An opportunity to be part of some of the best enterprise SaaS products to be built out of India.
• Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions.
• A flat, collegial work environment, with a work hard, play hard attitude.
• A platform for rapid growth if you are willing to try new things without fear of failure.
• Remuneration with best-in-class industry standards with generous health insurance cover
  
  

• Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.
• Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.
• Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.
• Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.