Job
Description
As a highly skilled Development Lead with expertise in Generative AI and Large Language models, you will play a key role in developing cutting-edge LLM applications and systems for clients. Your primary focus will be on driving innovation and leveraging LLMs to create impactful solutions. The ideal candidate will have a strong technical background and a passion for pushing the boundaries of LLM apps. **Responsibilities:** - Develop and extend digital products and creative applications, leveraging LLM technologies at their core. - Lead a product development and product operations team to further develop, enhance, and extend existing digital products built on top of LLMs. - Lead client onboarding, client rollout, and client adoption efforts, maximizing the use of the product across multiple clients. - Lead enhancements and extensions for client-specific capabilities and requests. - Successfully lead and deliver projects involving Cloud Gen-AI Platforms and Cloud AI Services, Data Pre-processing, Cloud AI PaaS Solutions, LLMs. - Ability to work with Base Foundation LLM Models, Fine-Tuned LLM models, working with a variety of different LLMs and LLM APIs. - Conceptualize, Design, build, and develop experiences and solutions that demonstrate the minimum required functionality within tight timelines. - Collaborate with creative technology leaders and cross-functional teams to test the feasibility of new ideas, help refine and validate client requirements, and translate them into working prototypes, and 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. - Design and optimize Gen-AI Apps for efficient data processing and model leverage. - Implement LLMOps processes and 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 Large Language Models. - Hands-on Experience with building production solutions using a variety of different LLMs and models - including Azure OpenAI GPT model family primarily, but also Google Gemini, Anthropic Claude, etc. - Deep Experience and Expertise in Cloud Gen-AI platforms, services, and APIs, primarily Azure OpenAI. - Solid Hands-on and Deep Experience working with RAG pipelines and Enterprise 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 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 with LLM evaluation frameworks such as Ragas, and their use to evaluate/improve LLM model outputs. - Experience in data preprocessing and post-processing model/results evaluation. - Hands-on Experience with API Integration and orchestration across multiple platforms. - Good Experience with Workflow Builders and Low-Code Workflow Builder tools such as Azure Logic Apps, or n8n (Nodemation). - Good Experience with Serverless Cloud Applications, including Cloud/Serverless Functions with Azure. - Good Experience with Automation Workflows and building Automation solutions to facilitate rapid onboarding for digital products. - 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 Skills:** - Good understanding of Transformer Models and how they work. - Hands-on Experience with Fine-Tuning LLM models at scale. - Good Experience with Agent-driven Gen-AI architectures and solutions, and working with AI Agents. - Some experience with Single-Agent and Multi-Agent Orchestration solutions. - 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 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. - 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. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant,
