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    Tech Lead - Pune, India - dentsu

    dentsu
    dentsu Pune, India

    1 week ago

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    Description
    The purpose of this role is to provide technical guidance and suggest improvements in development processes. Develop required software features, achieving timely delivery in compliance with the performance and quality standards of the company.

    Job Title:
    Tech Lead - Generative AI

    Job Description:

    Job Description:
    We are seeking a highly skilled Development Lead with expertise in Generative AI to join our dynamic team.

    As a Development Lead, you will play a key role in developing cutting-edge AI models and systems for our clients.

    Your primary focus will be on driving innovation and leveraging generative AI techniques to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of AI technology.
    Responsibilities
    :
    Develop and implement creative experiences, campaigns, apps, and digital products, leveraging generative AI technologies at their core.

    Successful leadership and delivery of projects involving Cloud Gen-AI Platforms and Services, Data Pre-processing, Cloud AI PaaS Solutions, Base Foundation Models, Fine Tuned models, working with a variety of LLMs and LLM APIs.

    Conceptualize, Design, build and develop experiences and solutions which demonstrate the minimum required functionality within tight timelines.

    Collaborate with creative technology leaders and cross-functional teams to test feasibility of new ideas, help refine and validate client requirements and translate them into working prototypes, and from thereon to scalable Gen-AI solutions.

    Research and explore emerging trends and techniques in the field of generative AI to stay at the forefront of innovation.

    Research and explore new products, platforms, and frameworks in the field of generative AI on an ongoing basis and stay on top of this very dynamic, evolving fieldDesign and optimize Gen-AI Apps for efficient data processing and model leverage.

    Implement LLMOps processes, and the ability to manage Gen-AI apps and models across the lifecycle from prompt management to results evaluation.

    Evaluate and fine-tune models to ensure high performance and accuracy.
    Collaborate with engineers to develop and integrate AI solutions into existing systems.
    Stay up-to-date with the latest advancements in the field of Gen-AI and contribute to the company's technical knowledge base.


    Must-Have:
    Strong Expertise in

    Python


    development, and the Python Dev ecosystem, including various frameworks/libraries for front-end and back-end Python dev, data processing, API integration, and AI/ML solution development.

    Minimum 2 years

    hands-on experience

    in working with

    Generative AI

    Applications and Solutions.
    Minimum 2 years

    hands-on experience

    in working with

    Large Language ModelsSolid understanding of

    Transformer Models

    and how they work.
    Solid understanding of

    Diffusion Models

    and how they work.
    Hands-on Experience with building

    production solutions

    using a variety of different.
    LLMs and models

    - including GPT-4, Gemini, Claude, Llama, etc.
    Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, including

    Azure OpenAI, AWS Bedrock

    , and/or

    GCP Vertex AI

    .Solid Hands-on Experience working with

    Enterprise RAG technologies

    and solutions / frameworks - including LangChain, Llama Index, etc.
    Solid Hands-on Experience with developing

    end-to-end RAG Pipelines

    .Solid Hands-on Experience with

    Agent-driven

    Gen-AI architectures and solutions.
    Experience with

    LLM model registries

    (Hugging Face), LLM APIs, embedding models, etc.
    Experience with

    vector databases

    (Azure AI Search, AWS Kendra, FAISS, Milvus etc.).Experience in

    data preprocessing

    , and post-processing model / results evaluation.
    Solid Hands-on Experience with Diffusion Models and AI. Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney.
    Hands-on Experience with

    Image Processing and Creative Automation

    at scale, using AI models.
    Hands-on experience with image and

    media transformation

    and adaptation at scale, using AI Art and Diffusion models.
    Hands-on Experience with dynamic creative use cases, using

    AI Art and Diffusion Models.
    Hands-on Experience with

    Fine-Tuning LLM models

    at scale.
    Hands-on Experience with

    Fine-Tuning Diffusion models

    and Fine-tuning techniques such as

    LoRA

    for AI Art models as well.
    Hands-on Experience with

    AI Speech models

    and services, including Text-to-Speech and Speech-to-Text.
    Ability to lead design and development for

    Full-Stack Gen-AI Apps

    and Products, built on LLMs and Diffusion models.
    Ability to lead design and development for

    Creative Experiences and Campaigns

    , built on LLMs and Diffusion models

    Nice-to-Have:
    Good Background and Foundation with Machine Learning solutions and algorithmsExperience with designing, developing, and deploying production-grade machine learning solutions.

    Experience with Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).Experience with custom ML model development and deploymentProficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras.

    Strong knowledge of machine learning algorithms and their practical applications.
    Experience with Cloud ML Platforms such as Azure ML Service, AWS Sage maker, and NVidia AI Foundry.
    Hands-on Experience with Video Generation models.
    Hands-on Experience with 3D Generation Models.
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