949 Hugging Face Jobs - Page 12

We are seeking AI Engineers at the Associate level to join client-facing delivery teams, build and deploy AI/ML and GenAI solutions, work on data pipelines, integrations and cloud deployments. You will partner with senior engineers, solution architects and clients to deliver production-ready AI modules and reusable components. Key Responsibilities: Design, build and deploy ML/LLM-based solutions using Python, OpenAI APIs / LangChain / Hugging Face. Develop RAG (Retrieval-Augmented Generation) pipelines and AI agents for use-cases. Work with data platforms (e.g., Snowflake), SQL, ETL, and feature engineering. Deploy to cloud infrastructure (AWS: EC2, Lambda, SageMaker), build CI/CD pipelines,...

ABOUT COMPANY IT Talent Hub is a leading provider of industry-ready AI and IT training, dedicated to equipping learners with the skills required to excel in today's technology-driven job market. We collaborate with top UK companies to ensure our training programs align with current industry demands, offering a seamless transition from learning to employment. Our comprehensive approach covers candidate sourcing, training, and onboarding, making us a trusted partner for both learners and employers. KEY DUTIES AND RESPONSIBILITIES: As an AI and Data Science Trainer in the Technology Department, you will play a pivotal role in shaping future AI and Data professionals. You will deliver hands-on, ...

About HealthSigns HealthSigns is building the Intelligent Operating System for Healthcare - An AI-powered platform that unifies EMR, Labs, Transcription, and Care Coordination into one intelligent ecosystem. At its core lies the Intelligence Kernel , the reasoning and orchestration layer that powers automation, contextual understanding, and clinical intelligence across the HealthSigns stack. Role Overview We're looking for a Senior Python Developer with 56 years of experience who can architect and build high-performance backend systems that interact with AI and LLM-driven components . You'll be part of the Intelligence Kernel team , working on core services that handle data ingestion, schema...

Generative AI Instructor We are seeking an experienced and passionate Generative AI Instructor to educate and empower aspiring developers, data scientists, and business professionals in the rapidly evolving field of Generative AI (GenAI). The ideal candidate will have 1-3 years of technical experience in Machine Learning (ML) , with significant hands-on experience in developing, training, and deploying generative models. This role is critical in bridging the gap between foundational AI/ML knowledge and practical, real-world Generative AI application development. Roles & Responsibilities Conduct Structured Training: Design and lead comprehensive training programs on the theory, implementation...

We're building production-grade LLM/AI capabilities into our Cloud Operating System and we need someone who can ship. If you like taking AI from prototype ? scalable product, this is for you. What you'll do Design and ship AI/LLM features that run in production Build RAG-style systems (embeddings, vector search) that actually perform Own model serving, observability, and reliability across our AI stack What we're looking for Strong Go (Golang) for production ML services LLMs, RAG, embeddings, vector search (FAISS / pgvector) PyTorch or TensorFlow and experience with model serving/inference MLOps : CI/CD, monitoring, evaluations, Docker/Kubernetes, GPUs Inference engine experience: e.g. vLLM,...

Data Scientist Primary Skills Data Science skill - Machine Learning, NLP, and LLMs Databricks Experience- 5 to 8yrs Specialization Data Science Advanced: Generative AI & Databricks Job requirements Job Title: Senior AI Engineer Generative AI & Databricks Experience: 5-8+ Years About the Role We are seeking a Senior AI Engineer with strong expertise in Generative AI (GenAI), Databricks, and end-to-end ML/LLM systems. You will be responsible for designing, building, and deploying intelligent, scalable GenAI solutions integrated into enterprise-grade data and analytics platforms. The ideal candidate combines strong software engineering, MLOps, and LLM engineering experience with the ability to ...

ML Engineer Agentic AI Responsibilities Design and implement multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen or similar frameworks. Build A2A (agent-to-agent) orchestration and implement MCP (multi-context protocol) for context reuse and collaboration. Fine-tune foundation models (LoRA, RLHF, DPO) and integrate retrieval-augmented generation (RAG) pipelines. Develop APIs and backend services (FastAPI/Flask/Node.js) and integrate with enterprise systems (HRIS, CRM, ERP). Build secure data pipelines (ETL, embeddings, vector DB ingestion) and ensure governance, bias mitigation, and lineage. Containerize, deploy, and monitor agents (Docker, Kubernetes, CI/CD pipelines) with obser...

Some Careers Shine Brighter Than Others. If you're looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team i...

Job Description Solution Architecture & Design Lead the design and development of advanced AI solutions leveraging LLMs, GenAI models, AI agents, and hybrid AI approaches. Architect scalable, secure, and efficient AI systems integrating traditional ML with emerging Generative AI capabilities. Ensure AI solutions align with enterprise-grade performance, compliance, and ethical AI standards. Thought Leadership & Innovation Act as a subject matter expert (SME) in Generative AI, LLMs, and Agentic AI; contribute to technical strategy and AI roadmaps. Represent the organization in conferences, whitepapers, patents, and client discussions as a recognized AI thought leader. Explore, evaluate, and in...

AI and Machine Learning At least 2 years of experience in Artificial Intelligence, Machine learning products, and systems. Generative AI Familiarity with Generative AI models including LLMs , RAG Approach, communication flow in both approaches, multimodal usage, open-source models from Hugging face, Lang chain, frameworks, Vector DB (atleast one DB should be well known in terms of indexing, storing the embeddings, extracting the answers), Prompts, Context based prompts etc. Experience with transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion) Cloud Platforms: At-least experience of working on one of cloud platforms:, Microsoft Azure or AWS or GCP . Progra...

As a Senior AI Developer at Infuze AI, your role involves leading the design and deployment of advanced AI agents and automation frameworks. You should have a deep technical expertise in LLMs, multi-agent systems, RAG pipelines, and end-to-end product deployment in a production environment. Key Responsibilities: - Architect, build, and scale multi-agent and RAG systems using LangChain, LlamaIndex, or equivalent frameworks. - Implement retrieval, embedding, and knowledge integration pipelines for enterprise AI applications. - Develop API-driven AI solutions and integrate them with databases, web services, and user interfaces. - Optimize model performance for speed, accuracy, and cost-efficien...

As a Software Engineer at Carelon Global Solutions India, you will be responsible for leveraging your expertise in ML and NLP to work closely with AI/ML engineers and data scientists. Your primary role will involve acquiring and processing data, debugging, creating and enhancing ML models, and developing software infrastructure to support these tasks. You will be working with various types of data, including structured, semi-structured, and textual data, to create enterprise-grade data pipelines feeding state-of-the-art AI/ML models. Collaboration with cross-functional teams and customers, as well as providing intelligence-based solutions to complex problems, will be key aspects of your role...

As an AI Engineer at Barclays, you will be responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality, and governance standards. You will spearhead the evolution of the digital landscape, driving innovation and excellence to revolutionize digital offerings for unparalleled customer experiences. **Key Responsibilities:** - Design, develop, and implement AI models, algorithms, and GenAI models. - Collaborate with cross-functional teams to integrate AI solutions into products and services. - Conduct research to advance the state-of-the-art in AI and machine learning. - Analyze and interpret complex data sets to drive decision-making. - Optim...

Role Overview: As an Applied AI Engineer at Instant Markets, a venture of Instant Systems Inc., you will be responsible for leveraging the latest in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Natural Language Processing (NLP) to develop cutting-edge applications such as intelligent assistants, semantic search, and AI copilots. Your role will involve designing and implementing LLM-based applications, building RAG pipelines, applying NLP techniques, fine-tuning pretrained LLMs, developing ML pipelines, working with APIs, collaborating with cross-functional teams, and monitoring model performance. Key Responsibilities: - Design and implement LLM-based applications u...

Role Overview: As a Generative AI Specialist with 6-8 years of experience in AI/ML engineering, data processing, and LLM Models, your primary responsibility will be to design, deploy, and optimize AI agents using Large Language Models (LLMs) and complementary tools. A strong background in AI Engineering and MLOps is crucial for this role. Key Responsibilities: - Architect and develop advanced AI agents utilizing LLMs and other Generative AI technologies to automate and enhance supply chain processes. - Fine-tune LLMs for specific industry use cases, including instruction tuning, embeddings, and vector database integration. Take ownership of one or more modules. - Write efficient, clean, and ...

Role Overview: You will be joining Dassault Systmes, a global leader in Scientific Software Engineering, as an AI Developer in Pune, Maharashtra. Your role will involve designing, developing, and maintaining AI-based applications using Python. You will collaborate with data scientists and other developers to implement data-driven solutions, write clean and efficient Python code, troubleshoot, debug, and optimize code for performance and scalability. Additionally, you will integrate AI features, such as Generative AI (GenAI) models and Large Language Models (LLM), into existing products and services, while staying updated on the latest trends in Python development and AI technologies. Key Res...

Role Overview: You will be responsible for designing, training, and fine-tuning large language models, transformer-based models, and diffusion models for specific business use cases. Additionally, you will stay updated on emerging GenAI trends and drive proof-of-concept initiatives. Your role will involve curating and preprocessing large-scale structured and unstructured datasets for model training and evaluation. You will also apply advanced techniques to optimize model performance and efficiency, collaborate with ML engineers for model deployment, and lead technical discussions while contributing to strategic AI roadmap planning. Key Responsibilities: - Design, train, and fine-tune large l...

As a Data Scientist with 4 to 8 years of experience in Noida, your main responsibilities will include: - Designing and implementing AI-enabled solutions. - Working closely with the client to understand business needs and translate them into a technical solution. - Defining the success metrics. - Deploying and monitoring the solution. In order to excel in this role, you should possess the following qualifications: - 4-8 years experience in Data Science, focused on generative AI, agentic AI, LLMs, and NLP - Hands-on experience with RAG pipelines, knowledge graphs, and prompt engineering - Proficiency in Azure AI tools such as Azure OpenAI, Cognitive Services, and Azure ML - Familiarity with La...

We are seeking a Generative AI Engineer Intern to join our innovative start-up. In this role, you will support the development, implementation, and evaluation of Generative AI models, AI agents, and RAG (Retrieval-Augmented Generation) systems. You'll work on data preparation, model experimentation, and help integrate AI-driven intelligence into real-world applications. Key Responsibilities: Assist in building, fine-tuning, and deploying Gen AI models, AI agents, and RAG pipelines. Perform data preprocessing, analysis, and quality checks for model input and retrieval. Conduct model and system evaluation using both quantitative and qualitative metrics. Develop and test algorithms to improve a...

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role And Responsibilities An AI Data Scientist at IBM is not just a job title - it's a mindset. You'll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative...

Data Processing & Embeddings: Work with text, image, audio, and video data to create embeddings and preprocess inputs for AI models. Prompt Engineering & Optimization: Experiment with prompt engineering techniques to improve AI responses and outputs. API Integration: Utilize OpenAI, Azure OpenAI, Hugging Face, and other APIs to integrate AI models into applications. Model Development & Fine-Tuning: Assist in training, fine-tuning, and deploying Generative AI models (GPT, Llama, Stable Diffusion, Claude etc.). AI Workflows & Pipelines: Contribute to building and optimizing AI workflows using Python, TensorFlow, PyTorch, Langchain or other frameworks. Cloud & Deployment: Deploy AI solutions on...

Job Description We are seeking a highly skilled Python Developer with expertise in Artificial Intelligence, Retrieval-Augmented Generation (RAG) integration, and Model Context Protocol (MCP). The candidate will be responsible for developing scalable applications, building intelligent search and conversational systems, and enabling seamless interaction between enterprise systems and LLMs using RAG + MCP pipelines. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application...

Job Description Summary role description: Hiring for the Director - Artificial Intelligence for a leading healthcare technology provider delivering AI-driven solutions to modernize care for millions nationwide. Company description: Our client is a healthcare technology and clinical services provider backed by a global investment group. Headquartered in the U.S. with offices in India, the company serves multiple state and federal health agencies, impacting over 140 million beneficiaries nationwide. Its core offerings include advanced processing, clinical and provider solutions, and quality and compliance services, powered by proprietary digital platforms. Leveraging AI, ML, and cloud technolo...

Scope: Generative AI Specialist with an experience of 6-8 years in AI/ML engineering, data processing and LLM Models. In this role, you will design, deploy, and optimize AI agents using Large Language Models (LLMs) and complementary tools. A solid grounding in AI Engineering and MLOps is essential. Our current technical environment: Advanced Python and SQL programming. React/TypeScript/Next.js proficiency for building intuitive user interfaces. Demonstrated expertise in integrating AI solutions into large-scale, complex systems with a focus on scalability and operational efficiency. Strong problem-solving, analytical, and communication skills. What you'll do: Architect and develop sophistica...

About the Opportunity Job Type: Permanent Application Deadline: 23 November 2025 Job Description Title Full Stack AI Engineer Department GPS Technology Location Gurgaon, India Reports To TBD Level 4 We share a commitment to making things better for clients and each other. We continually explore new technology and different ways of working to put our clients first. So, bring your boldest ideas to our Customer Communications team and feel like you're making progress. Customer Communications is a new platform team established within Fidelity's Global Platform Solutions (GPS) business. It's an exciting place to be and a great opportunity for you to help shape what good looks like as we define ne...