Impact Analytics - Senior Artificial Intelligence Engineer (4-6 yrs)

About the job :

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. , 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.

- Collaborate with various stakeholder groups to identify opportunities for applying GenAI to solve real world problems.

What lands you this role :

- 4-6 years in Machine Learning with at least 2-3 years in the following areas : (a) Deep Learning, (b) Generative AI and (c) Computer Vision or Natural Language Processing

- Strong conceptual knowledge of : (a) Generative modeling techniques (e., Autoencoders, Diffusion & Transformer architectures), (b) Efficient Fine-tuning mechanisms (e., 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.in computing/systems, mathematics, machine learning or related areas will be preferred