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Urgent! Lead Developer (LLM) Job Opening In Kharadi – Now Hiring dentsu

Lead Developer (LLM)



Job description

We are seeking a highly skilled Development Lead with expertise in Generative AI and Large Language models 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.

Job Description:

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 Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs, Base Foundation Models, Fine Tuned models, working with a variety of different 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 and LLMs 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 field
  • Design 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 Models
  • Solid understanding of Transformer Models and how they work.
  • Reasonable understanding of Diffusion Models and how they work.
  • Hands-on Experience with building production solutions using a variety of different.
  • Experience with multiple LLMs and models - including GPT-4o, 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, and working with AI Agents.
  • Hands-on experience with Single-Agent and Multi-Agent Orchestration solutions
  • Solid Hands-on Experience with AI and LLM Workflows
  • 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.
  • Hands-on Experience with Diffusion Models and AI.

    Art models including SDXL, DALL-E 3, Adobe Firefly, Midjourney, is highly desirable.
  • 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 teams, for Full-Stack Gen-AI Apps and Products/Solutions, 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 algorithms
    Experience 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 deployment
  • Proficiency 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.

  • Required Skill Profession

    Computer Occupations



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