18 Transformer-Based Models Jobs

Job Description We are looking for an AI Enginee r with hands-on experience designing and deploying scalable AI solutions. In this role, you will be part of a cross-functional team working on cutting-edge projects involving Retrieval-Augmented Generation (RAG), agentic frameworks, and end-to-end MLOps workflows. You'll play a key role in developing AI applications using tools like LangChain, CrewAI, and Google ADK, while applying advanced prompt engineering techniques and ensuring robust monitoring and performance tracing. Your collaboration with other engineering will help align innovative AI systems with broader development goals. What is this position about Analyze business problems and d...

Job Title: Associate ML Engineer (Experienced) Python & LLMs Location: Valsad Experience: 12 year About The Role We are looking for an experienced and hands-on Associate ML Engineer with 12 years of industry experience in Python development , Machine Learning , and LLM-based solutions . In this role, you will contribute to designing, building, deploying, and optimizing AI/ML systems including generative AI applications, embeddings, vector search, and chatbot solutions. You will work across the full lifecycle of AI projects, from data processing to model deployment using FastAPI and database-backed systems. Key Responsibilities Develop and maintain AI/ML models using Python, Scikit-Learn, PyT...

About Srotas Health Srotas Health is an AI-first company building next-generation agentic and generative AI systems. Our core platform, SrotasIQ, leverages proprietary LLMs, multi-agent reasoning, and dynamic orchestration frameworks to deliver adaptive, high-performance AI solutions across diverse real-world use cases. Role Summary We're looking for a Senior AI Engineer who thrives on solving hard problems and scaling ambitious ideas. You'll lead the architecture and development of advanced AI systems from fine-tuning and prompt optimisation to building agentic frameworks and multi-model orchestration. This is a hands-on role for a go-getter and problem solver who's excited to work across m...

About US Shunya Labs is building the Voice AI Infrastructure Layer for Enterprises powering speech intelligence, conversational agents, and domain-specific voice applications across industries. Born from deep work in mental-health AI and built for global enterprise scale, our stack combines state-of-the-art ASR/TTS models with an open-weights philosophy , driving accuracy, privacy, and scalability. About the Role We're looking for an AI Research Scientist who combines deep technical understanding of AI systems with the curiosity to explore how emerging models can reshape real-world industries. This role sits at the intersection of research, strategy, and applied innovation identifying automa...

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to actionenabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this o...

We are looking for an AI Engineer with hands-on experience designing and deploying scalable AI solutions. In this role, you will be part of a cross-functional team working on cutting-edge projects involving Retrieval-Augmented Generation (RAG), agentic frameworks, and end-to-end MLOps workflows. You'll take ownership of translating complex business problems into AI solutions from the ground upfrom initial problem analysis and architecture design through to production deployment and monitoring. You'll play a key role in developing AI applications using modern frameworks and libraries, while applying advanced prompt engineering techniques and ensuring robust monitoring and performance tracing....

Within AI Platform, the? GenAI Systems ?team in? Azure AI ?is seeking a? Principal Applied Scientist to lead the development of? customized LLM solutions ?for diverse customer needs. This role focuses on? fine-tuning, distillation, synthetic data generation, and custom model development , enabling enterprises to build optimized, scalable AI systems. ?Why Join Us? Be part of a dynamic team shaping the future of AI and language models Work on high-impact projects with global reach Collaborate with leading experts in the field Enjoy a flexible and inclusive work environment If you're passionate about AI, love tackling complex challenges, and want to contribute to the next generation of language...

Position Summary... Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluatio...

Job Description Job Description: Senior Engineer AI/ML (Databricks Certified) We are seeking a highly skilled AI Engineer with proven experience in developing, deploying, and optimizing AI models using the Databricks AI platform. The ideal candidate will have a strong background in machine learning, distributed data processing, and will be a champion of Databricks platform. Responsibilities ? Generative AI: Experience of LLM-based solutions (LlamaIndex, LangChain, RAG pipelines, or similar frameworks). Ability to integrate GenAI and Agentic AI into business workflows. ? Design and implement end-to-end Generative AI solutions on Databricks, leveraging Unity Catalog, MLflow, Delta Lake, and Ve...

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to actionenabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this o...

Job Description: AI Developer Are you passionate about building intelligent systems that make a real-world impact Do you enjoy working in a fast-paced and dynamic start-up environment If so, we are looking for a talented AI Developer to join our team! We are a data and AI consultancy start-up with a global client base, headquartered in London UK, and we are looking for someone to join us full time on-site in our vibrant office in Gurugram. Requirements: (01 year of experience) Bachelor's degree in Computer Science, Data Science, or related field. 01 year of experience in AI/ML development or relevant projects (internships count). Familiarity with Python and ML libraries (e.g., scikit-learn, ...

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl We are always moving forward always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role We seek a visionary AI Architect to pioneer next-generation AI solutions integrating?Generative AI,?Agentic AI architectures, and?collaborative Agentic Mesh ecosystems. This role demands expertise in designing self-organizing AI systems that blend large language models (LLMs), small language models (SLMs), and multi-agent frameworks to drive disru...

Job Summary: AI/ML Engineer Initial Work Location (First 6 Months): Sri City Trade Centre, Central Expressway, Sri City, Andhra Pradesh 517646 ( 70 KM from Chennai ) After 6 Months: Candidate can continue from either Chennai or Bangalore (Wissen Office) Experience: 35 years Work Mode: Work from Office Notice Period: 15 days to 30 days preferred About the Role Build, fine-tune, and deploy AI/ML models for intelligent document processing and Generative AI applications. Leverage cutting-edge techniques in NLP, OCR, and LLMs to extract structured data from complex documents and power next-gen AI solutions. As an AI/ML Engineer, you'll play a key role in transforming unstructured content into act...

C5i caters to some of the worlds largest enterprises, including many Fortune 500 companies. The companys clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms. We are seeking a highly skilled Data Scientist with a passion for AI, machine learning, and deep learning to join our dynamic team. The ideal candidate will have experience in generative models, LLMs, and advanced AI techniques, and will contribute to solving complex business Title : Data Scientist (Generative AI : Bengaluru...

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role We seek a visionary AI Architect to pioneer next-generation AI solutions integrating Generative AI, Agentic AI architectures, and collaborative Agentic Mesh ecosystems. This role demands expertise in designing self-organizing AI systems that blend large language models (LLMs), small language models (SLMs), and multi-agent frameworks to drive dis...

Who We Are Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We've raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google). Our team is a powerhouse of talent,...

NVIDIA is seeking passionate AI engineers to drive innovation in mapping for Autonomous Vehicles. End-to-end models are the future of Autonomous Driving, and maps provide a prior to these models. Your work will help shape the intelligence behind the next generation of self-driving vehicles. In this role, you will build state-of-the-art AI algorithms, focusing on Large Language Models (LLMs), Visual Language Models (VLMs), and graph-based deep learning. Hands-on expertise in generative AI frameworks and transformer-based models is key, with strong emphasis on applying this research to real-world mapping and navigation. Are you ready to challenge yourself to push boundaries of routing and navi...

Job Description Responsibilities: Design, build, and deploy Generative AI models using foundational models like GPT, BERT, LLaMA, PaLM, etc. Develop scalable GenAI applications and integrate with enterprise systems using APIs and SDKs. Fine-tune and optimize large language models (LLMs) for domain-specific use cases. Design, implement, and manage end-to-end machine learning pipelines on Microsoft Azure, leveraging services like Azure Machine Learning, Azure DevOps, and Kubernetes. Collaborate with data scientists to productionize ML models using best practices in Azure MLOps . Automate the deployment and monitoring of models using CI/CD pipelines and Azure DevOps tools. Implement scalable mo...