Senior Agentic AI Engineer

3 weeks ago

Hyderabad, India Talentiser Full time

The Sr. Agentic AI Engineer plays a key role in designing and delivering core connectivity, IoT, and cloud platform products tailored for B2B and enterprise customers. This role involves developing internal and external business applications, system interfaces, databases, reporting, and business intelligence systems that enable new functionality to support organizational objectives.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 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 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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