483 Huggingface Jobs - Page 19

TargetBay is a fast-growing eCommerce marketing automation SaaS company based out of Chennai and Atlanta. Clients use our products to increase their online sales through our personalized email marketing and reviews technologies. Job Title: AI/ML Engineer - Multi-Agent Systems Experience: 4 - 5 years Location: Perungudi, Chennai Key Skills: Multi-Agent Systems, AI Agents, LLM, Generative AI, RAG, Autogen, LangChain, Prompt Engineering, Fine-tuning, Python, Product Development, NLP, Machine Learning, Deep Learning, Vector Databases, Huggingface, Flask, Docker Roles & Responsibilities: Strong experience in prompt engineering, working on proprietary and public LLMs, including fine-tuning, infere...

About the Role: Grade Level (for internal use): 09 The Team: As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative. The Impact: The Data Transformation team has already delivered breakthrough products and significant business value over the last...

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...

Role & responsibilities Design, develop, and deploy AI-powered solutions using Generative AI models to solve real-world business problems. Build and maintain autonomous AI agents or bots capable of performing tasks with minimal human intervention. Collaborate with cross-functional teams to identify opportunities for AI integration and automation. Fine-tune and optimize generative models for specific use cases, ensuring performance, scalability, and reliability. Implement robust data pipelines and model training workflows using Python and relevant AI frameworks. Use SQL to extract, transform, and manage data from structured databases to build knowledge bases for AI consumption. Embed data int...

Job Title: AI/ML Architect Location: Bangalore / Pune Experience: 10+ Years Job Type: Full-Time | Permanent Work Mode: Hybrid Job Summary We are seeking an experienced and visionary AI/ML Architect to lead the end-to-end design, development, deployment, and operationalization of advanced AI/ML and Generative AI (GenAI) solutions on cloud platforms. The ideal candidate will possess deep technical expertise in ML architecture, GenAI frameworks, Retrieval-Augmented Generation (RAG) pipelines, cloud-native deployment, and MLOps practices. You will work closely with cross-functional teams, clients, and engineering teams to define scalable AI strategies and deliver cutting-edge solutions across va...

Senior Software Engineer, NLP Experience: 4-8 Years Exp Salary : competitive Preferred Notice Period : Within 45 Days Opportunity Type: Hybrid (Pune) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : FastAPI, NLP, LLMs AlphaSense (One of Uplers' Clients) is Looking for: Senior Software Engineer, NLP who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About AlphaSense: The worlds most sophisticated companies rely on AlphaSense ...

Senior Software Engineer, NLP Experience: 4-8 Years Exp Salary : competitive Preferred Notice Period : Within 45 Days Opportunity Type: Hybrid (Pune) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : FastAPI, NLP, LLMs AlphaSense (One of Uplers' Clients) is Looking for: Senior Software Engineer, NLP who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About AlphaSense: The worlds most sophisticated companies rely on AlphaSense ...

Job Overview: We are seeking a Generative AI Developer with expertise in Retrieval-Augmented Generation (RAG) architecture, LangChain, Python, and Large Language Models (LLMs) . The ideal candidate will have experience in building chatbots using LLMs and a strong understanding of LLMOps/MLOps for scalable AI solutions. Key Responsibilities: Develop and optimize Generative AI applications using LLMs, RAG pipelines, and LangChain . Design and implement chatbot solutions leveraging LLMs for conversational AI. Integrate retrieval mechanisms to enhance chatbot accuracy and contextual relevance. Apply LLMOps/MLOps best practices for model deployment, monitoring, and optimization. Collaborate with ...

Senior Software Engineer, NLP Experience: 4-8 Years Exp Salary : competitive Preferred Notice Period : Within 45 Days Opportunity Type: Hybrid (Pune) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : FastAPI, NLP, LLMs AlphaSense (One of Uplers' Clients) is Looking for: Senior Software Engineer, NLP who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About AlphaSense: The worlds most sophisticated companies rely on AlphaSense ...

Senior Software Engineer, NLP Experience: 4-8 Years Exp Salary : competitive Preferred Notice Period : Within 45 Days Opportunity Type: Hybrid (Pune) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : FastAPI, NLP, LLMs AlphaSense (One of Uplers' Clients) is Looking for: Senior Software Engineer, NLP who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About AlphaSense: The worlds most sophisticated companies rely on AlphaSense ...

Mandatory skills :Gen AI, LLM, ML/DL/NLP, RAG, Lang chain, Mistral, Llama, Hugging Face, Python, Tensorflow, Pytorch, Django, Vector DB, Perf skills :GCP/Azure/AWS, Databricks, MLOps (tools like Kubeflow/ Mlflow) , Kubernetes, GitHub/Bitbucket, ADO, GPT-4 Role Purpose Strong understanding of machine learning and deep learning principles and algorithms. Experience in developing and implementing generative AI models and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Ability to work with large datasets and knowledge of data preprocessing techniques. Familiarity with natural language processing (NLP) and computer vision for generative AI applications. E...

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...