65 Huggingface Jobs - Page 3

My profile - linkedin.com/in/yashsharma1608 Location: Noida, Sector 9 Working Days: 5 / 6 days a week Joining: Immediate Joiners Preferred Python Developer (AI Platforms Trading, Indicators & Automation) Minimum 2 Years About the Role We're looking for a talented Python Developer to help drive the backend and AI logic behind high-growth platforms: This is a versatile role where you’ll work on data ingestion, AI workflows, API integration, signal generation, backend services, and task automation. Key Responsibilities Develop and maintain Python-based APIs and backend services using FastAPI or Flask Build and manage AI pipelines (e.g. signal generation, retraining, inference logging) Integrate with trading APIs, charting libraries, and third-party tools Work on Pine Script data handling, indicator signal syncing, and confidence scoring logic Implement automation tools for social content generation, scheduling, and analytics Collaborate with frontend, data, and AI teams for end-to-end feature delivery Required Skills 2+ years of hands-on Python development Experience with FastAPI, Flask, or similar frameworks Strong understanding of REST APIs and async workflows Familiarity with task queues (Celery/Redis), logging, and cron automation Exposure to NumPy, pandas, or similar data processing tools Experience integrating with third-party APIs (e.g. TradingView, Twitter, Telegram) Bonus Skills Basic experience with Pine Script or Trading Indicators Familiarity with ML tools (e.g. scikit-learn, HuggingFace, OpenAI APIs) Knowledge of financial data formats, charting, and signal evaluation Hands-on with strategy backtesting, WebSocket feeds, or real-time alerts

We are seeking a proficient AI/ML Engineer responsible for testing, deploying, and hosting various Large Language Models (LLMs). The role involves monitoring deployed agentic services, ensuring their optimal performance, and staying abreast of the latest advancements in AI technologies. Key Responsibilities: LLM Deployment & Hosting Evaluate, test, and deploy diverse LLMs on cloud-based and on-premise infrastructures. Optimize model performance for scalability and efficiency. Implement secure API endpoints and model-serving pipelines. Strong CI/CD skills and knowledge of CI/CD tools like Jenkins, GitHub Actions, CircleCI etc. Agentic AI Services Deploy and maintain AI agents using frameworks such as CrewAI, Agnos(Phi Data), AutoGen etc. Integrate LLMs into business workflows and automation tools. Design, monitor, and enhance agentic services for real-world applications. Monitoring & Optimization Utilize advanced observability tools to monitor model performance, latency, and cost efficiency. Implement tools like AgentOps, OpenLIT, Langfuse, and Langtrace for comprehensive monitoring and debugging of LLM applications. Develop logging, tracing, and alerting systems for deployed models and AI agents. Conduct A/B testing and gather user feedback to refine AI behavior. Address model drift and retrain models as necessary. Best Practices & Research Stay updated with the latest advancements in AI, LLMs, and agentic systems. Implement best practices for prompt engineering, reinforcement learning from human feedback (RLHF), and fine-tuning methodologies. Optimize compute costs and infrastructure usage for AI applications. Collaborate with researchers and ML engineers to integrate state-of-the-art AI techniques. Strong knowledge on version control tools like GitHub Qualifications & Skills: Proficiency with LLM frameworks such as Hugging Face Transformers, OpenAI API, or Meta AI models. Strong programming skills in Python and experience with deep learning libraries (PyTorch, TensorFlow, JAX). Experience with cloud platforms (AWS, Azure, GCP) and model deployment tools (Docker, Kubernetes, FastAPI, Ray Serve). Familiarity with vector databases (FAISS, Pinecone, Weaviate) and retrieval-augmented generation (RAG) techniques. Hands-on experience with monitoring tools such as AgentOps, OpenLIT, Langfuse, and Langtrace. Understanding of prompt engineering, LLM fine-tuning, and agent-based automation. Excellent problem-solving skills and the ability to work in a dynamic AI research and deployment team. Preferred Qualifications: Experience in reinforcement learning, fine-tuning LLMs, or training custom models. Knowledge of security best practices for AI applications. Contributions to open-source AI/ML projects or research publications in the field.

We are looking for an AI Engineer (Senior Software Engineer). Interested candidates email me resumes on mayura.joshi@lionbridge.com OR WhatsApp on 9987538863 Responsibilities: Design, develop, and optimize AI solutions using LLMs (e.g., GPT-4, LLaMA, Falcon) and RAG frameworks. Implement and fine-tune models to improve response relevance and contextual accuracy. Develop pipelines for data retrieval, indexing, and augmentation to improve knowledge grounding. Work with vector databases (e.g., Pinecone, FAISS, Weaviate) to enhance retrieval capabilities. Integrate AI models with enterprise applications and APIs. Optimize model inference for performance and scalability. Collaborate with data scientists, ML engineers, and software developers to align AI models with business objectives. Ensure ethical AI implementation, addressing bias, explainability, and data security. Stay updated with the latest advancements in generative AI, deep learning, and RAG techniques. Requirements: 8+ years experience in software development according to development standards. Strong experience in training and deploying LLMs using frameworks like Hugging Face Transformers, OpenAI API, or LangChain. Proficiency in Retrieval-Augmented Generation (RAG) techniques and vector search methodologies. Hands-on experience with vector databases such as FAISS, Pinecone, ChromaDB, or Weaviate. Solid understanding of NLP, deep learning, and transformer architectures. Proficiency in Python and ML libraries (TensorFlow, PyTorch, LangChain, etc.). Experience with cloud platforms (AWS, GCP, Azure) and MLOps workflows. Familiarity with containerization (Docker, Kubernetes) for scalable AI deployments. Strong problem-solving and debugging skills. Excellent communication and teamwork abilities Bachelors or Masters degree in computer science, AI, Machine Learning, or a related field.

Summary of the Role: We are seeking an AI Prompt Engineer with expertise in Large Language Models (LLMs) and prompt engineering to support legal tech solutions, specifically in contract lifecycle management and contract-related AI implementations. The ideal candidate will have a strong background in AI, NLP, and structured prompt engineering, with a keen understanding of legal tech applications. Prior experience in the legal domain is a plus but not mandatory. What you will do: Design, develop, and refine AI prompts for legal tech applications, ensuring accuracy and contextual relevance in contract-related workflows. Work with Large Language Models (LLMs) to enhance AI-driven solutions for contract analysis, review, and automation Optimize prompt structures and techniques to improve AI-generated outputs in contract drafting, compliance, and negotiations Research, test, and implement best practices in prompt engineering to maximize efficiency and accuracy in contract delivery Evaluate and refine AI-generated legal documents to align with compliance standards and client requirements Stay updated with advancements in LLMs, prompt engineering methodologies, and AI-driven legal tech solutions. What you bring: Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field. Minimum 5 years of overall professional experience, with at least 2 years in AI prompt engineering Strong understanding of LLMs (GPT, Claude, Gemini, Llama, etc.) and their application in legal or enterprise use cases Proven expertise in prompt design, optimization, and fine-tuning for AI-driven text generation Hands-on experience with AI tools, frameworks, and APIs (OpenAI, Hugging Face, LangChain, etc.) Strong problem-solving skills and ability to work in a fast-paced environment Excellent communication and collaboration skills to work with cross-functional teams. Bonus Points: Basic understanding of contracts, legal terminology, and compliance standards. Applications must be submitted exclusively through Execo's official job postings located on the following platforms: Execo Careers Website: https://www.execo.com/careers LinkedIn: https://www.linkedin.com/company/execogroup/jobs/ Indeed: US & Kenya: https://www.indeed.com/cmp/Execo-Group-Inc India: https://in.indeed.com/cmp/Execo-Group-Inc UK: https://uk.indeed.com/cmp/Execo-Group-Inc Philippines: https://ph.indeed.com/cmp/Execo-Group-Inc Singapore: https://sg.indeed.com/cmp/Execo-Group-Inc Naukri: https://www.naukri.com/

Position Overview: We are seeking highly motivated and innovative AI Agent Development Interns t. You will work with our AI and Oracle Cloud teams to build and prototype AI agents using Large Language Models (LLMs) integrated with Oracle Fusion Applications . This internship is ideal for students who want to work on cutting-edge AI use cases with direct business impact in enterprise environments. Key Responsibilities: Design and build AI agents using LLMs for Oracle Fusion modules: HCM, ERP, SCM, and Risk Management Integrate AI agent flows with Oracle Cloud APIs and datasets Collaborate with Oracle Fusion ERP, SCM, HCM & GRC specialists, data engineers, and cloud developers to refine models and workflows Actively participate in the entire project lifecycle from conceptualization, requirements gathering, and design, through to coding, rigorous testing, iterative refinement, and documentation Document your approach, challenges, and learning outcomes Qualifications: Currently pursuing a Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related fields Strong proficiency in Python, APIs, and LLM frameworks (e.g., OpenAI, LangChain, HuggingFace) Familiarity with Oracle Fusion Cloud or interest in enterprise applications is a strong plus Understanding of prompt engineering, embeddings, and agent orchestration Strong problem-solving skills, curiosity, and eagerness to learn new technologies Preferred Skills: Experience with tools like LangChain, VectorDB, or Retrieval-Augmented Generation (RAG) Familiarity with REST APIs, JSON, and webhooks Exposure to enterprise IT or cloud platforms (OCI, AWS, Azure, etc.) What You Will Gain: Real-world experience building AI applications for enterprise use Exposure to Oracle’s enterprise ecosystem and industry-leading risk solutions Mentorship from cloud, AI, ERP, SCM, HCM and GRC experts Opportunity to present your work in internal demos and client-facing forums Certificate of Completion and potential full-time offer Role & responsibilities

Role & responsibilities Role Overview: We are hiring an experienced and passionate trainer to conduct in-person sessions at our Hyderabad campus. The ideal candidate should have strong technical expertise in Data Science, AI/ML, and Python programming, along with a passion for teaching and mentoring students. Youll be responsible for delivering high-quality training, guiding hands-on projects, and ensuring that our learners are equipped with in-demand skills and knowledge. Key Responsibilities: Deliver classroom-based training sessions on Data Science, Machine Learning, and AI tools and techniques. Break down complex concepts into simplified, engaging content suitable for beginners and intermediate learners. Guide students through live projects, capstone assignments, and lab sessions. Provide one-on-one mentorship and support during learning and project work. Collaborate with curriculum teams to continuously improve content and delivery. Stay updated with the latest trends in AI, ML, and emerging technologies like GenAI and LLMs. Why Join Us? If you’re passionate about empowering the next generation of tech professionals and believe in delivering practical, impactful education—WhiteScholars offers you a rewarding platform to shape future careers. Preferred candidate profile Who Should Apply: Candidates based in Hyderabad (onsite role only). Graduates in Computer Science, Engineering, Data Science, or a related field. Professionals with a solid understanding of core data science concepts, machine learning, and AI. Prior experience in training, teaching, or mentoring is preferred (but not mandatory). Working professionals from the industry looking to mentor part-time are also encouraged to apply. Willingness to travel occasionally for sessions or workshops. Must-Have Skills: Proficiency in Python, NumPy, Pandas, and Scikit-learn. Strong understanding of data preprocessing, model building, and evaluation techniques. Exposure to Power BI, TensorFlow/Keras, and basic NLP techniques. Ability to teach with clarity and adapt to different student learning styles. Excellent communication and presentation skills. Confident in handling live Q&A, student feedback, and interactive sessions. Good to Have: Experience with Deep Learning frameworks and GenAI tools (OpenAI, Hugging Face). Exposure to LLMs, Prompt Engineering, or real-world AI/ML deployments. Familiarity with GitHub, project portfolios, and interview preparation guidance.

Role Summary As part of our AI-first strategy at Creatrix Campus , you'll play a critical role in deploying, optimizing, and maintaining Large Language Models (LLMs) like LLaMA, Mistral, and CodeS across our SaaS platform. This role is not limited to experimentationit is about operationalizing AI at scale. Youll ensure our AI services are reliable, secure, cost-effective, and product-ready for higher education institutions in 25+ countries. Youll work across infrastructure (cloud and on-prem), MLOps, and performance optimization while collaborating with software engineers, AI developers, and product teams to embed LLMs into real-world applications like accreditation automation, intelligent student forms, and predictive academic advising. Key Responsibilities LLM Deployment & Optimization Deploy, fine-tune, and optimize open-source LLMs (e.g., LLaMA, Mistral, CodeS, DeepSeek). Implement quantization (e.g., 4-bit, 8-bit) and pruning for efficient inference on commodity hardware. Build and manage inference APIs (REST/gRPC) for production use. Infrastructure Management Set up and manage on-premise GPU servers and VM-based deployments. Build scalable cloud-based LLM infrastructure using AWS (SageMaker, EC2), Azure ML, or GCP Vertex AI. Ensure cost efficiency by choosing appropriate hardware and job scheduling strategies. MLOps & Reliability Engineering Develop CI/CD pipelines for model training, testing, evaluation, and deployment. Integrate version control for models, data, and hyperparameters. Set up logging, tracing, and monitoring tools (e.g., MLflow, Prometheus, Grafana) for model performance and failure detection. Security, Compliance & Performance Ensure data privacy (FERPA/GDPR) and enforce security best practices across deployments. Apply secure coding standards and implement RBAC, encryption, and network hardening for cloud/on-prem. Cross-functional Integration Work closely with AI solution engineers, backend developers, and product owners to integrate LLM services into the platform. Support performance benchmarking and A/B testing of AI features across modules Documentation & Internal Enablement Document LLM pipelines, configuration steps, and infrastructure setup in internal playbooks. Create guides and reusable templates for future deployments and models. Required Qualifications Education: Bachelors or Masters in Computer Science, AI/ML, Data Engineering, or related field. Technical Skills: Strong Python experience with ML libraries (e.g., PyTorch, Hugging Face Transformers). Familiar with LangChain, LlamaIndex, or other RAG frameworks. Experience with Docker, Kubernetes, and API gateways (e.g., Kong, NGINX). Working knowledge of vector databases (FAISS, Pinecone, Qdrant). Familiarity with GPU deployment tools (CUDA, Triton Inference Server, HuggingFace Accelerate). Experience: 3+ years in an AI/MLOps role, including experience in LLM fine-tuning and deployment. Hands-on work with model inference in production environments (both cloud and on-prem). Exposure to SaaS and modular product environments is a plus.

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Navi Mumbai Location_ 18th May 25 (Sunday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Navi Mumbai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Chennai Location_ 17th May 25 (Saturday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Chennai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Must have Experience: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

Programming skills (Python, SQL) Comfortable handling and pre-processing large datasets and using Pyspark. Knowledge of frameworks such as TensorFlow, PyTorch, HuggingFace or Langchain. Familiarity with cloud platforms (either AWS, GCP, Azure)

Job Description for GB5A(Dev) Primary Role Primarily responsible for working as Tech Lead i.e. leading the team and mentoring it technically. Provide hands-on technical leadership in the design, development, and deployment of generative AI models and systems. Serve as the technical point of contact for cross-functional teams, ensuring seamless collaboration between product, engineering, and data science teams. Responsibilities & KPIs Guiding the team technically and helping them solve the technical problems, throughout the project. Responsible for defining project goals, timelines, and deliverables in collaboration with stakeholders. Ensure scalability, robustness, and cost-efficiency of AI solutions. Conduct code reviews, provide constructive feedback, and ensure adherence to best practices in AI development. Build and maintain workflows to manage multiple POCs and project workloads efficiently. Collaborate with data scientists and domain experts to ensure model accuracy and relevance. Architect end-to-end Generative AI pipelines for model training, evaluation, and deployment using state-of-the-art tools and techniques Optimize AI models for speed, accuracy, and cost-efficiency. Ensure compliance with security and ethical standards. Address challenges like data drift and model degradation Proactively introduce innovative generative AI methodologies to address complex business challenges. Foster a culture of experimentation and continuous learning within the team. Ensure alignment between business goals and technical implementations. Desired Skills B.E./B.Tech degree in Computer Science, Information Science, or a related field from a leading institute preferred. Good leadership and people management skills. Excellent communication skills for translating technical concepts to non-technical stakeholders. Hands-on experience with Python Hands-on experience in machine learning, natural language processing, deep learning, and Generative AI technologies like LLM, RAG, Multi Modal architecture. Familiarity with frameworks like TensorFlow, PyTorch, Keras or Hugging Face. Familiarity with MLOps and CI/CD pipelines for AI workflows. Knowledge of cloud platforms (AWS, Azure, or GCP) for deploying AI solutions. Familiarity with current AI trends and open source technologies. Strong problem-solving and analytical skills. Ability to work on multiple projects simultaneously and manage priorities effectively. Exposure to financial services domains is a plus. Basic understanding of UI Frameworks (e.g. Angular) is a plus.

Job Summary: We're seeking an experienced AI Engineer to develop and integrate cutting-edge AI solutions into our product. The ideal candidate will have expertise in machine learning, deep learning, and software development. Collaborating with our Product Manager, you'll design, implement, and optimize AI-driven solutions to enhance our application. Key Responsibilities: Develop and integrate AI models and algorithms Collaborate with cross-functional teams (Product, Engineering, Design) Optimize AI models for performance, scalability, and efficiency Ensure seamless integration with existing infrastructure Troubleshoot and resolve AI-related issues Stay updated on AI trends, technologies, and best practices Requirements: Bachelor's/master's degree in computer science, AI, or related fields 5+ years of experience in AI/ML development Proficiency in Python, Deep Learning, TensorFlow, PyTorch, or similar frameworks Experience with machine learning libraries and expertise in Natural Language Processing (NLP) and Computer Vision tools. Familiarity with cloud platforms (AWS, GCP, Azure) Knowledge of containerization (Docker) and orchestration (Kubernetes) Nice to Have: Experience with AI-specific tools and frameworks Familiarity with agile development methodologies Knowledge of DevOps practices Certification in AI/ML (e.g., TensorFlow Certified Developer) Role & responsibilities

Job Title: Gen AI Engineer Location: Bangalore (Hybrid) Experience: 3+ years Employment Type : Full-time Preferred : Immediate joiners only Company Overview: Join KrtrimaIQ Cognitive Solutions, a leading AI/ML company enabling intelligent enterprises through advanced technologies like machine learning, NLP, computer vision, and automation. Be part of a dynamic team transforming data into powerful business decisions. Key Responsibilities: Design, develop, and deploy AI/ML models using Large Language Models (LLMs) and Multimodal LLMs. Work on building and optimizing Retrieval-Augmented Generation (RAG) pipelines for real-world use cases. Implement and fine-tune transformer models using Hugging Face and PyTorch. Conduct experiments, benchmark models, and continuously improve performance and scalability. Collaborate with data engineers and product teams to integrate AI models into production environments. Stay updated with the latest advancements in generative AI, LLM architectures, and open-source frameworks. Required Skills: Strong hands-on experience with LLMs (GPT, LLaMA, Mistral, etc.) and Multimodal models (e.g., CLIP, Flamingo). Expertise in PyTorch and Hugging Face Transformers. Proficiency in building RAG-based solutions, integrating vector databases like FAISS, Pinecone, or Weaviate. Solid understanding of deep learning concepts, NLP, and model evaluation techniques. Experience in deploying and scaling AI models in production environments. Good programming skills in Python and familiarity with APIs and ML Ops tools. Preferred Qualifications: Master's or Bachelor's degree in Computer Science, AI, Data Science, or related fields. Experience with distributed computing and cloud platforms (AWS/GCP/Azure). Contributions to open-source projects or research papers in the AI/ML domain. Why Join Us? Cutting-edge AI/ML projects Flexible hybrid work culture Competitive compensation and benefits Opportunity to grow in a rapidly scaling AI company #genai #ml #aijobs #rag #llm #pytorch #nlp #faiss #bangalorecircle #hybrid mode #immediatejoiner #cloud

Dear Candidate, We are hiring a Robotics Engineer to develop intelligent robotic systems for automation and industrial applications. The role requires expertise in robotics programming, sensor integration, and AI-driven automation. Key Responsibilities: Design and develop robotic systems using ROS, C++, and Python. Implement AI-based perception and motion planning algorithms. Integrate sensors, actuators, and embedded controllers. Optimize robotic navigation and real-time decision-making. Test and validate robotic applications in real-world environments. Required Skills & Qualifications: Robotics Frameworks: ROS, OpenCV, TensorFlow Programming: C++, Python, MATLAB Hardware Integration: LIDAR, IMU, Cameras, Actuators Control Systems: PID, Kalman Filters, Path Planning Experience with autonomous vehicles or robotic arms is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

AI advocates, specializing within the NLP space. You’ll be responsible for developing and mentoring the team to develop their best work to contribute and amplify IBM’s credibility within engineering/AI communities. You will establish partnerships with our technical sales teams to understand the different use cases that are emerging within POCs You should be able to consume and understand information on complex technology topics from trusted sources to author informational articles and tutorials in a clear and concise manner. Your articles should avoid buzzwords and business jargon. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact within our day-to-day work as a team Partner with product marketing to weave in IBM’s point of view on a specific technology topics. Navigate IBM products, like watsonx, to document common industry-related tasks (e.g. using a Jupyter notebook in watsonx.ai to build machine learning models) Collaborate with SEO strategists and user researchers to understand the content needs of our core audience You enjoy public speaking at meetups, conferences, and internal events. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong expertise in NLP – familiarity with transformers, LLMs, text classification, sentiment analysis, and named entity recognition. Experience with ML/DL frameworks – such as PyTorch, TensorFlow, Hugging Face, spaCy, or LangChain. Programming skills – proficiency in Python (primary), plus optional knowledge of JavaScript or other scripting languages. AI/ML model lifecycle knowledge – including data preprocessing, model training, evaluation, fine-tuning, and deployment. Hands-on with open-source AI/NLP tools – and understanding of community-driven innovation and best practices. Familiarity with MLOps – model versioning, monitoring, and pipeline management. Preferred technical and professional experience Advocacy & Community Engagement: Content creation – ability to write technical blogs, tutorials, demo code, and record videos/webinars that simplify complex NLP concepts. Public speaking – experience presenting at conferences, meetups, or internal forums. Developer relations – understanding how to engage, grow, and support AI/NLP developer communities. Social media presence – ability to build credibility and promote content on platforms.