Gen-AI/LLM Development Lead

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 GenAI Platforms and Cloud AI Services Data Preprocessing 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 crossfunctional teams to test feasibility of new ideas help refine and validate client requirements and translate them into working prototypes and from thereon to scalable GenAI 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 GenAI Apps for efficient data processing and model leverage.
• Implement LLMOps processes and the ability to manage GenAI apps and models across the lifecycle from prompt management to results evaluation.
• Evaluate and finetune models to ensure high performance and accuracy.
• Collaborate with engineers to develop and integrate AI solutions into existing systems.
• Stay uptodate with the latest advancements in the field of GenAI and contribute to the companys technical knowledge base.

MustHave:

• Strong Expertise in Python development and the Python Dev ecosystem including various frameworks/libraries for frontend and backend Python dev data processing API integration and AI/ML solution development.
• Minimum 2 years handson experience in working with Generative AI Applications and Solutions.
• Minimum 2 years handson 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.
• Handson Experience with building production solutions using a variety of different.
• Experience with multiple LLMs and models including GPT4o Gemini Claude Llama etc.
• Deep Experience and Expertise in Cloud GenAI platforms services and APIs including Azure OpenAI AWS Bedrock and/or GCP Vertex AI.
• Solid Handson Experience working with Enterprise RAG technologies and solutions / frameworks including LangChain Llama Index etc.
• Solid Handson Experience with developing endtoend RAG Pipelines.
• Solid Handson Experience with Agentdriven GenAI architectures and solutions and working with AI Agents.
• Handson experience with SingleAgent and MultiAgent Orchestration solutions
• Solid Handson 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 postprocessing model / results evaluation.
• Handson Experience with Diffusion Models and AI. Art models including SDXL DALLE 3 Adobe Firefly Midjourney is highly desirable.
• Handson Experience with Image Processing and Creative Automation at scale using AI models.
• Handson experience with image and media transformation and adaptation at scale using AI Art and Diffusion models.
• Handson Experience with dynamic creative use cases using AI Art and Diffusion Models.
• Handson Experience with FineTuning LLM models at scale.
• Handson Experience with FineTuning Diffusion models and Finetuning techniques such as LoRA for AI Art models as well.
• Handson Experience with AI Speech models and services including TexttoSpeech and SpeechtoText.
• Ability to lead design and development teams for FullStack GenAI 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.

NicetoHave:

• Good Background and Foundation with Machine Learning solutions and algorithms
  Experience with designing developing and deploying productiongrade 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.
• Handson Experience with Video Generation models.
• Handson Experience with 3D Generation Models.

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