R&D Architect/Sr. Architect - Artificial Intelligence

The impact that you will be making:

• Solve complex business problems of the global supply chain & retail industry through Artificial Intelligence, especially through Deep Learning & Reinforcement Learning.
• Build cutting-edge Generative AI solutions (including leveraging external assets like ChatGPT) to efficiently address real-world problems.
• Lead R&D projects for solving critical Operations Research problems through Artificial Intelligence (e.g., Deep Q-Learning).
• Build product-specific AI roadmaps, design and develop new algorithms, and integrate these algorithms into the relevant product offerings.
• Lead the Machine Learning life-cycle for multiple products - experimentation, proof-of-concept, model development, testing, deployment, and monitoring.
• Solve non-routine, challenging problems, often on sparse or incomplete data sets. Define evaluation strategies to measure the performance of complex AI systems.
• Systematic study of the latest research and industry developments in AI. Envisage next-generation challenges, and proactively recommend solutions to solve them.
• Facilitate the IP generation process in the company, and works towards patenting key inventions.

What lands you in this role

• Minimum 10 years in Software Engineering & Machine Learning with at least 4 to 6 years in one or more of the following AI areas:
• Deep Learning,
• Natural Language Processing
• Computer Vision
• Reinforcement Learning
• AI Planning & Scheduling
• Strong expertise in complex pattern recognition through ML frameworks like PyTorch, TensorFlow, Keras, etc.
• Experienced in end-to-end development and productionization of large-scale AI solutions, including a strong understanding of MLOps/ModelOps.
• Strong communication skills, including the ability to explain advanced technical concepts, ideas, and solutions to both technical and non-technical collaborators.
• (Preferred) Working knowledge of Dynamic Programming.
• (Preferred) Strong knowledge of evolutionary/genetic Algorithms, dynamic programming, combinatorial optimization, etc.
• (Preferred) Track record of publishing/presenting technical papers in reputed journals/conferences, filing patents, etc.

About Impact Analytics

Impact Analytics (Series C funded) is a proven, enterprise-grade analytics leader in AI-based retail, grocery, CPG, and supply chain SaaS solutions. Its suite of planning, forecasting, merchandising, category management, and end-to-end lifecycle pricing products empowers organizations to make data-driven decisions that transform their business for greater profitability. The company was recently ranked in the top 100 of Fortune's 2023 list of the Most Innovative Companies in America and also made The Financial Times' list of America's Fastest Growing Companies for the fourth straight year. Learn more at www.impactanalytics.co.

Some of our accolades include:

• Ranked #72 in America’s Most Innovative Companies list in 2023 alongside companies like Microsoft, Tesla, Apple, IBM, etc
• Ranked as one of America's fastest-growing companies by Financial Times for four consecutive years: 2020-2023
• Ranked as one of America's fastest-growing private companies by Inc 5000 for Six consecutive years: 2018-2023
• Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortment, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.
• Featured as one of the top 25 ML startups to watch by Forbes in 2019
• Ranked as one of North America's fastest-growing technology companies by Deloitte for two consecutive years 2019 & 2020