296 Huggingface Jobs - Page 12

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collabor...

Graduate degree or equivalent experience 5+ years of experience in Python using common data science libraries such as scikit-learn and Databricks 3+ years of experience applying NLP (transformers, GPT, etc.) in a production setting using large amounts of data 2+ years of experience applying LLMs (RAG, vector DB, embeddings) to solve real world problems Experience applying data science techniques in a commercial enterprise, including supervised, unsupervised learning, NLP, time-series forecasting and other statistical analyses Experience building APIs for the models Proven solid written & verbal communication skills; including the ability to present detailed analyses to a broad audience Prove...

GenAI, NLP, or LLM based systems , strong Python development skills and working Artificial Intelligence, Python, AWS, Machine Learninges and embedding techniques

Job Title:- Senior ML LLM Engineer/Technical Lead Summary: This position will own the design, fine-tuning, deployment, and continuous optimization of Large Language Model (LLM)-powered services at scale. You will architect AI solutions that not only work but perform reliably in high-volume, mission-critical environments. This role requires a high-impact leader who can translate business objectives into scalable AI systems, accelerate model deployment cycles, and ensure measurable ROI from every AI initiative. Key Responsibilities: High-Impact Model Development & Optimization Rapidly design, fine-tune, and benchmark LLMs (GPT-4o, Claude, open-source models) to meet performance and cost-effici...

Key Responsibilities: Design and implement AI agents for infrastructure operations (e.g., auto-remediation, provisioning, alert management). Develop application-level agents for workflow automation, decision support, and user experience enhancement. Collaborate with cross-functional teams to integrate agents into existing systems using APIs, pipelines, and orchestration tools. Apply ethical AI principles including transparency, traceability, and responsible usage. Optimize agent performance through memory modules, planning modules, and tool execution layers. Contribute to the development of reusable agent templates and accelerators for rapid deployment. Evaluate and fine-tune models using pl...

Looking 1.5+yr of Exp. as a AI Developer Candidate must have work exp. on AI tools. Working Days:- 6 Days in week & WFO Interested can share CV on priya.maurya@itdoseinfo.com or whatsapp on 9650384789

Project description We are looking for a passionate and skilled Python Engineer with 3-4 years of hands-on experience in automation, continuous integration (CI), and DevOps practices. The ideal candidate should possess strong debugging and problem-solving skills, a good understanding of AI/LLM fundamentals, and the ability to work in a fast-paced environment within a global IT MNC. Responsibilities Develop and maintain Python-based automation scripts and tools. Implement and optimize CI/CD pipelines (e.g., Jenkins, GitLab CI, etc.). Collaborate with DevOps, QA, and product teams to streamline development workflows. Troubleshoot and debug issues across applications, tools, and infrastructure....

In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours Communicating with internal and external clients to understand and define business needs and appropriate modelling t...

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Role & responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retr...

Experience Required: Minimum 6+ Years Location: Remote Job Type: Contract to hire (1 Year/ Renewable) Notice Period: Immediate to 30 Days Must have: Experience in Artificial Intelligence, Python. LLM, ML, NLP,AI/ML libraries, Open AI, Hugging Face

Scale an existing RAG code base for a production grade AI application RequirementsProficiency in Prompt Engineering, LLMs, and Retrieval Augmented Generation Programming languages like Python or Java Experience with vector databases Experience using LLMs in software applications, including prompting, calling, and processing outputs Experience with AI frameworks such as LangChain Troubleshooting skills and creative in finding new ways to leverage LLM Experience with Azure Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment ...

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collabor...

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collabor...

We are seeking Senior AI/ML Engineers with 3 to 6 years of experience in implementing, deploying, and scaling AI/ML solutions. This role involves working with generative AI, machine learning, deep learning, and data science to solve business challenges by designing, building, and maintaining scalable and efficient AI/ML applications. Key Responsibilities:AI: Architect scalable Generative AI and Machine Learning applications using AWS Cloud and other cutting-edge technologies. Extensive experience with LLMs and various prompt engineering techniques. Fine-tune and build custom LLMs. Deep understanding of LLM architecture and internal mechanisms. Experience with Langchain, Langgraph, Langfuse, ...

Summary We are looking for highly motivated and experienced Machine Learning Engineers to join our advanced analytics and AI team. The ideal candidates will have strong proficiency in building, training, and deploying machine learning models at scale using modern ML tools and frameworks. Experience with LLMs (Large Language Models) such as OpenAI and Hugging Face Transformers is highly desirable. Role & responsibilities Design, develop, and deploy machine learning models for real-world applications. Implement and optimize end-to-end ML pipelines using PySpark and MLflow. Work with structured and unstructured data using Pandas, NumPy, and other data processing libraries. Train and fine-tune m...

Role & responsibilities Job Title: Senior Data Scientist Location: Bangalore Business & Team: BB Advanced Analytics and Artificial Intelligence COE Impact & contribution: As a Senior Data Scientist, you will be instrumental in pioneering GenAI and multi-agentic systems at scale within CommBank. You will architect, build, and operationalize advanced generative AI solutionsleveraging large language models (LLMs), collaborative agentic frameworks, and state-of-the-art toolchains. You will drive innovation, helping set the organizational strategy for advanced AI, multi-agent collaboration, and responsible next-gen model deployment. Roles & Responsibilities: • GenAI Solution Development: Lead end...

Role & responsibilities Collaborate with product and business teams to identify problems and define scalable, measurable AI/ML-driven solutions. Evaluate, fine-tune, and deploy production-ready models using the latest open-source and commercial model families (e.g., GPT-4o, Claude 3, Mixtral, LLaMA 3, Gemini). Develop and manage domain-specific generative models for tasks like summarization, classification, extraction, and generation using Transformers and LLMs. Build and maintain retrieval-augmented generation (RAG) pipelines, including vector databases (e.g., Weaviate, FAISS, LanceDB, Pinecone). Work with frameworks such as LangChain, LlamaIndex for prompt chaining, agent orchestration, an...

Job Purpose As an AI R&D Engineer, you will collaborate with NYSEs central AI team to build and deploy cutting-edge generative AI applications. Youll lead applied research and development effortsworking with large language models (LLMs), vector databases, and agentic frameworksto enhance NYSEs internal analytics and decision systems. We encourage and expect regular use of AI-assisted development tools (e.g. ChatGPT, GitHub Copilot) to accelerate iteration and improve team productivity. Responsibilities Design and deploy RAG pipelines using LangChain and vector databases Prototype and evaluate GenAI applications on NYSE data using commercial and open models Build microservices to serve LLMs v...

Job Purpose As an AI R&D Engineer, you will collaborate with NYSEs central AI team to build and deploy cutting-edge generative AI applications. Youll lead applied research and development effortsworking with large language models (LLMs), vector databases, and agentic frameworksto enhance NYSEs internal analytics and decision systems. We encourage and expect regular use of AI-assisted development tools (e.g. ChatGPT, GitHub Copilot) to accelerate iteration and improve team productivity. Responsibilities Design and deploy RAG pipelines using LangChain and vector databases Prototype and evaluate GenAI applications on NYSE data using commercial and open models Build microservices to serve LLMs v...

Strong experience with vLLM, HuggingFace Transformers, LoRA/QLoRA, and cybersecurity data— MITRE ATT&CK, CVE/NVD, YARA rules, Snort/Suricata rules, STIX/TAXII, or malware datasets, Python, ML libraries (PyTorch, Transformers), and MLOps practices.

7+ Years AI/ML Engineer Bangalore 7+ years of hands-on experience in AI/ML & Data Science solutions Proficient in Python and libraries: TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face, SpaCy, OpenCV Expertise in GenAI & Agentic AI (e.g., LangChain, MS Autogen, Semantic Kernel) Skilled in LLMs and prompt engineering Apply Now