Impact Analytics - Lead Artificial Intelligence Engineer - Machine Learning (8-10 yrs)

About the job :

Responsibilities :

- Solve complex business problems of the global supply chain and 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 and D objectives for one or more projects, and work with other AI architects and CTO to design and 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.

Requirements :

- At least 8-10 years in Software and Machine Learning with At least 2-3 years in Generative AI.

- At least 5-6 years in Deep Learning

- Computer Vision or Natural Language Processing

- Strong conceptual knowledge of Generative modeling techniques (e., Autoencoders, Diffusion, and Transformer architectures).

- Efficient Fine-tuning mechanisms (e., Adapter training, Multi-task learning, etc.

- Hyperparameter Optimization (especially Bayesian and 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.in computing/systems, mathematics, machine learning, or related areas will be preferred