Artificial Intelligence Engineer - Bengaluru, India - Talescope

    Talescope
    Talescope Bengaluru, India

    Found in: Appcast Linkedin IN C2 - 1 week ago

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    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 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 role

    • 4-6 years in Machine Learning with at least 2-3 years in the following areas:
    1. Deep Learning
    2. Generative AI
    3. Computer Vision or Natural Language Processing
    • Strong conceptual knowledge of:
    1. Generative modeling techniques (e.g., Autoencoders, Diffusion & Transformer architectures)
    2. Efficient Fine-tuning mechanisms (e.g., Adapter training, Multi-task learning, etc.)
    3. 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.