Artificial Intelligence Engineer

1 month ago


Delhi, India Talescope Full time
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., ChatGPT) as well as proprietary models, to efficiently address real-world problems.Play a critical role in developing/evolving 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 in this role4-6 years in Machine Learning with at least 2-3 years in the following areas:Deep LearningGenerative AIComputer Vision or Natural Language ProcessingStrong 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.



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