87 Rlhf Jobs

Description We are seeking a highly skilled Generative AI / LLM Engineer with deep hands-on experience in building, fine-tuning, evaluating, and deploying advanced language-model and agentic systems. The ideal candidate has strong technical expertise across LLM training paradigms, retrieval-augmented pipelines, agent frameworks, and AI safety evaluation. Key Responsibilities Design, implement, and optimize LLM fine-tuning pipelines including LoRA, QLoRA, Supervised Fine-Tuning (SFT), and RLHF. Build and maintain RAG (Retrieval-Augmented Generation) systems using frameworks such as LangChain, LlamaIndex, and custom retrieval layers. Develop, integrate, and extend applications using Model Cont...

Principal Data Scientist Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead/Architect is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise ...

Role Overview: As a Lead Machine Learning Engineer at Ramboll Tech, you will be responsible for creating cutting-edge AI solutions that empower the business while also mentoring others and fostering a culture of collaboration and growth. You will play a key role in shaping the technical roadmap, defining architectural patterns, integrating external knowledge bases, and exploring state-of-the-art LLMs to deliver impactful AI solutions. Key Responsibilities: - Define architectural patterns for scalable LLM pipelines, ensuring robust versioning, monitoring, and adherence to best practices. - Drive the integration of external knowledge bases and retrieval systems to augment LLM capabilities. - R...

Overview We are seeking a highly skilled Generative AI / LLM Engineer with deep hands-on experience in building, fine-tuning, evaluating, and deploying advanced language-model and agentic systems. The ideal candidate has strong technical expertise across LLM training paradigms, retrieval-augmented pipelines, agent frameworks, and AI safety evaluation. Key Responsibilities Design, implement, and optimize LLM fine-tuning pipelines including LoRA, QLoRA, Supervised Fine-Tuning (SFT), and RLHF. Build and maintain RAG (Retrieval-Augmented Generation) systems using frameworks such as LangChain, LlamaIndex, and custom retrieval layers. Develop, integrate, and extend applications using Model Context...

Role Overview: You will be joining TP.ai Data Services as a Data Scientist (AI/ML Ops) where you will play a central role in operationalizing and scaling AI models. Your responsibilities will involve designing and implementing data pipelines, model evaluation frameworks, and monitoring processes to ensure accurate, efficient, and compliant deployment of AI systems. You will collaborate with various teams to translate complex business challenges into data-driven solutions and influence best practices in Responsible AI and MLOps. This role offers a high-impact opportunity to work on frontier AI initiatives with global reach. Key Responsibilities: - Design data preprocessing pipelines for multi...

We are seeking an experienced Generative AI Engineer to design, develop, and optimize AI models for text, image, video, and audio generation. The ideal candidate should have expertise in deep learning, natural language processing (NLP), transformer models (GPT, BERT, LLaMA, etc.), and multimodal AI. This role involves working with large-scale datasets, fine-tuning AI models, and deploying scalable AI solutions. Key Responsibilities: Design, develop, and fine-tune Generative AI models for text, image, video, and audio synthesis. Work with transformer architectures such as GPT, BERT, T5, Stable Diffusion, and CLIP. Implement and optimize LLMs (Large Language Models) using Hugging Face, OpenAI,...

Role Overview: You will be responsible for formulating, designing, and delivering AI/ML-based decision-making frameworks and models for business outcomes. Your primary focus will be to measure and justify the values of AI/ML based solutions. As a Data Science Practitioner, you will design, develop, and deploy Python-based applications leveraging Generative AI models, LLMs, and AI-powered APIs for enterprise and product use cases. Key Responsibilities: - Develop AI-powered applications integrating LLMs (OpenAI GPT, Claude, LLaMA, Mistral, etc.) via APIs and SDKs - Fine-tune and deploy custom models using Hugging Face Transformers, LangChain, or Haystack - Implement prompt engineering and retr...

Description - External Education Bachelor's or master's degree in computer science, AI, Data Science, or a related field with strong coding experience. Technical Skills Solid understanding of Transformer models, LLMs, fine-tuning, and RLHF. Strong coding ability in Python, familiarity with Jupyter, PyTorch, TensorFlow. Hands-on experience with LangChain, AutoGPT, Hugging Face Transformers, OpenAI API, etc. Familiarity with vector databases (Pinecone, FAISS, Weaviate) and RAG pipelines. Instructional Skills Proven experience in technical training, curriculum development, or mentorship. Excellent communication and presentation skills. Ability to simplify complex topics for diverse audiences. N...

LOCATION: Hyderabad, Bengaluru, Mumbai, Gurugram Role & Responsibilities Our client is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications. Responsibilities: Own the full ML lifecycle: model design, training, evaluation, deployment Design production-ready ML pipelines with CI/CD, testing,...

In this role, you will provide strategic leadership for the AI Alignment division, focusing on Trust & Safety, interpretability, and pricing-related information integrity. Your responsibilities will include developing and implementing strategies for AI alignment, driving integration of advanced alignment and safety methods, designing new algorithms and model architectures, building and optimizing large-scale ML/AI models, creating evaluation benchmarks, collaborating with engineering teams, overseeing cloud infrastructure usage, promoting open-source contributions, working with product and research teams, leading cross-functional initiatives, representing the organization in industry forums,...

Job Title: Lead, ML/ AI Engineer Location: Bangalore Reports to : AI Director About Digital Green Digital Green is a pioneer global not for profit organization, utilizing digital platforms and community-driven approaches to amplify the voices of smallholder farmers and improve their livelihoods. Our mission is to create a world where farmers use technology and data to build prosperous communities. By harnessing the power of technology, we facilitate knowledge sharing, capacity building, and market linkages, enabling farmers to adopt sustainable agricultural practices and increase their productivity and income. We are dedicated to transforming the lives of under-served smallholder farmers wor...

Project Description: This project involves reviewing AI-generated responses and evaluating their reasoning quality and step-by-step problem-solving accuracy. You will provide expert feedback to help models produce answers that are accurate, logical, and clearly explained. Your responsibilities will include: Assessing solutions for accuracy, clarity, and adherence to the given prompt. Identifying errors in calculations, methodology, or conceptual understanding. Fact-checking quantitative information across multiple AI responses. Writing high-quality mathematical explanations and model solutions that demonstrate correct reasoning. Comparing and rating AI-generated solutions based on mathematic...

We're seeking a highly skilled, hands-on Data Scientist with 410 years of experience in applied AI/ML to join our fast-paced team. This role requires deep expertise in transformer architectures and strong fundamentals in model training, fine-tuning, and optimization. You'll work across modalities (text, audio, video), with the flexibility to specialize in one domain but the adaptability to experiment across others. The ideal candidate thrives in a startup-style, high-velocity R&D environment, is execution-focused, and demonstrates ownership from architecture to deployment. You'll run rapid experiments, iterate on state-of-the-art models, and push the boundaries of generative AI in lip-sync, ...

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Define the architectural roadmap for agentic AI systems that enhance semiconductor design, product engineering, verification & validation, and manufacturing workflows, ensuring they are scalable, reliable, and integrated effectively within the enterprise technology ecosystem. Lead the design, development, and deployment of complex agentic workflows, from initial prototyping to production implem...

As a Machine Learning & Generative AI Engineer, you will play a crucial role in designing, building, and deploying advanced ML and GenAI solutions. You will have the opportunity to work on cutting-edge AI technologies like LLM fine-tuning, Transformer architectures, Retrieval-Augmented Generation (RAG), and enterprise-scale ML systems. Your innovative thinking and technical expertise will be instrumental in delivering impactful AI solutions aligned with business needs. **Key Responsibilities:** - Design, build, and deploy end-to-end ML pipelines, including data preprocessing, feature engineering, model training, and deployment. - Develop and optimize LLM-based solutions using Transformer arc...

About Soul AI: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. Based in SF and Hyderabad, we are a young, fast-moving team on a mission to build AI for Good, driving innovation and positive societal impact. Who you are & how you can contribute We are looking for a Hindi Creative Writer . This role involves improving AI-generated narratives, dialogues, and literary structures through RLHF and SFT techniques. The position is remote and highly flexible. What you will be doing Assess AI-generated Hindi c...

Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges...

Architecting the Future: Agentic AI & Enterprise Transformation Join us in shaping the next wave of enterprise innovation through Generative and Agentic AI. We are seeking a pragmatic futurist and business-savvy technologist to redefine how enterprises operate in the AI-first era . This strategic role is available across Cognizant's key delivery locations in India . You will lead the design, adoption, and scaling of Generative and Agentic AI ecosystems for our most strategic clients. This role blends advisory, hands-on solutioning, and practice-building leadership to ensure AI delivers tangible, industry-specific business outcomes . Core Responsibilities Architect & Implement Enterprise AI E...

Role Overview: As a Talent Community Specialist at Welo Data, you will be a part of the Sourcing & Talent Function in the AI Data team. Your primary responsibility will be to research, develop, and implement effective recruiting and staffing strategies to attract a diverse pool of qualified and capable resources for the organization, with a focus on AI and data services roles. You will play a crucial role in ensuring efficient and timely qualification and vetting steps for recruitment campaigns. Key Responsibilities: - Attract new talent into Welo Data's Talent Community by utilizing crowdsourcing expertise and Social Media/SEO strategies. - Provide an engaging pre-hire experience for candid...

Architecting the Future: Agentic AI & Enterprise Transformation Join us in shaping the next wave of enterprise innovation through Generative and Agentic AI. We are seeking a pragmatic futurist and business-savvy technologist to redefine how enterprises operate in the AI-first era . You will lead the design, adoption, and scaling of Generative and Agentic AI ecosystems for our most strategic clients. This role blends advisory, hands-on solutioning, and practice-building leadership to ensure AI delivers tangible, industry-specific business outcomes . Core Responsibilities Architect & Implement Enterprise AI Ecosystems Design and implement modular, scalable AI platforms that integrate Large Lan...

Project Description: This project involves reviewing AI-generated responses, evaluating the reasoning quality and step-by-step problem-solving, and providing expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in calculations, methodology, or conceptual understanding; fact-check physics information; write high-quality physics explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on physics correctness and reasoning quality. Compensation: Compensation is competitive and varies based on educa...

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...

Overview We are seeking a highly skilled LLM Training & Model Development Engineer with strong expertise in data engineering, model fine-tuning, and optimization. The role focuses on building, customizing, and optimizing home-grown Large Language Models (LLMs) tailored to domain-specific applications. Youll work closely with data scientists, prompt engineers, and infrastructure teams to deliver state-of-the-art AI models that can reason, converse, and adapt intelligently. Key Responsibilities Strong Data Engineer with Agentic AI experience, capable of Data Extract, Transformation, Feature Engineering, Analytics to build AI/ML models Curate and preprocess training corpora for domain-specific ...

Job Description Roles & Responsibilities: Conduct deep research in: Vision-Language and Multimodal AI for perception and semantic grounding Cross-modal representation learning for real-world sensor fusion (camera, lidar, radar, text) Multimodal generative models for scene prediction, intent inference, or simulation Efficient model architectures for edge deployment in automotive and factory systems Evaluation methods for explain ability, alignment, and safety of VLMs in mission-critical applications Spin newer research directions and drive AI research programs for autonomous driving, ADAS, and Industry 4.0 applications. Create new collaborations within and outside of Bosch in relevant domains...

Job Descriptiobn- KRA- Develop, fine-tune, and deploy LLMs for domain-specific generative and conversational use cases. Design and implement Agentic AI workflows integrating tool-use, reasoning, and memory components. Build scalable pipelines for data curation, prompt optimization, and reinforcement learning (RLHF/RLAIF). Collaborate with product and research teams to enhance personalization, contextual understanding, and accuracy of AI agents. Optimize inference performance and cost across multi-model and multi-provider LLM architectures. Evaluate and integrate cutting-edge open-source and proprietary models for generative and reasoning capabilities. Develop and integrate generative audio m...