Jobs

    Senior Artificial Intelligence Engineer - Bangalore, India - Impact Analytics

    Impact Analytics
    Impact Analytics Bangalore, India

    1 week ago

    Default job background
    permanent Technology / Internet
    Description
    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 cuttingedge GenAI solutions, leveraging both external assets (e.g., ChatGPT) as well as IA's proprietary models, to efficiently address realworld problems.
    • Play a critical role in developing/evolving IA's industrydisrupting 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 realworld problems.
    What lands you in this role :

    • 46 years in Machine Learning with at least 23 years in the following areas:
    • Deep Learning
    • Generative AI
    • Computer Vision or Natural Language Processing
    • Strong 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 nontechnical collaborators.
    • Ability to work under minimal supervision and in a fastpaced environment.
    • Candidates with prior experience in building or finetuning 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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