senior AI Engineer

About Impact Analytics

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and

drive profitability without manual intervention.

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 as well as IA’s proprietary models, to efficiently address real-world problems.
• 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 project modules, and work with other AI leads, 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.
  
  

• 4-6 years in Machine Learning with at least 2-3 years in the following areas:
• Deep Learning
• Generative AI
• 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 Americas Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.
• Ranked as one of Americas 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. Economic Times News about our funding can be accessed here.