AmbitionBox
Search
Jobs
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
All Filters
57 Merkle Science Jobs
Gen-AI / LLM Development Lead
Merkle Science
posted 18hr ago
Job Role Insights
Key skills for the job
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.
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 companys 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.
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Development Leader roles with real interview advice
What people at Merkle Science are saying
Merkle Science Benefits
View more benefits
Compare Merkle Science with
Chainalysis
Compare
TCS
Compare
Accenture
Compare
Wipro
Compare
Cognizant
Compare
Capgemini
Compare
HDFC Bank
Compare
Infosys
Compare
ICICI Bank
Compare
HCLTech
Compare
Tech Mahindra
Compare
Genpact
Compare
Teleperformance
Compare
Concentrix Corporation
Compare
Axis Bank
Compare
Amazon
Compare
Jio
Compare
iEnergizer
Compare
Reliance Retail
Compare
IBM
Compare
Similar Jobs for you
Technical Architect (Gen-AI & Full-Stack MERN)
8-13 Yrs
Pune, Gurgaon / Gurugram
Share an Interview