Technical Lead

2 months ago

Pune, India Concept Management Full time

Job Title : Tech Lead - Generative AI

Location : Pune


Time Type : Full time

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 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 3 years hands-on experience in working with Generative AI Applications and Solutions.

- Minimum 3 years hands-on experience in working with Large Language Models

- Solid 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 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 Sagemaker, and NVidia AI Foundry.

- Hands-on Experience with Video Generation models.

- Hands-on Experience with 3D Generation Models. (ref:hirist.tech)

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