Lead AI Engineer

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 (e.g., 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.

What lands you in this role:

  • At least 8-10 years in Software & Machine Learning with: (a) at least 2-3 years in Generative AI, and (b) at least 5-6 years in: Deep Learning, Computer Vision or Natural Language Processing
  • Strong conceptual knowledge of: (a) Generative modeling techniques (e.g., Autoencoders, Diffusion & Transformer architectures), (b) Efficient Fine-tuning mechanisms (e.g., Adapter training, Multi-task learning, etc.) and (c) 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.

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

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