98 Llm Finetuning Jobs - Page 2

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...

Role Overview: As a Data Scientist specializing in Generative AI and NLP at Tiger Analytics, you will be at the forefront of AI innovation. Your role will involve designing and deploying sophisticated models, including large language models (LLMs), to solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven creativity and intelligence to life across various industries. Key Responsibilities: - Generative AI & NLP Development: Design, develop, and deploy advanced applications and solutions using Generative AI models (e.g., GPT, LLaMA, Mistral) and NLP algorithms to solve business challenges and unlock new ...

Role Overview: You will be responsible for working with machine learning and natural language processing in document-heavy domains, particularly in finance, legal, and policy. Your main focus will be on data ingestion and preprocessing, NLP modeling, knowledge graph engineering, information retrieval, annotation and validation, MLOps, API integration, and more. Key Responsibilities: - Data Ingestion and Preprocessing: - Build and maintain data pipelines to ingest unstructured data from PDFs, gazettes, HTML circulars, etc. - Process data extraction, parsing, and normalization. - NLP & LLM Modeling: - Fine-tune or prompt-tune LLMs for summarization, classification, and change detection in regu...

As an AI Scientist at Zudu AI, you will be responsible for designing, building, and optimizing advanced speech and conversational AI models. Your focus will span across various areas including ASR, TTS, LLM fine-tuning, RAG pipelines, and emotion-driven voice synthesis. You will have the opportunity to work with large-scale data, production systems, and next-gen architectures to ensure our AI agents sound truly human. **Key Responsibilities:** - Conduct research and development to develop and fine-tune speech recognition (ASR), text-to-speech (TTS), and natural language understanding (NLU) models. - Build multi-turn conversational AI systems capable of contextual reasoning, grounding, and em...

You are passionate about advancing the field of AI and speech processing. As an AI Scientist at Zudu AI, you will have the opportunity to design, build, and optimize cutting-edge speech and conversational AI models. Your work will involve a wide range of responsibilities, from research and development to system integration and experimentation. **Key Responsibilities:** - **Research & Development** - Develop and fine-tune speech recognition (ASR), text-to-speech (TTS), and natural language understanding (NLU) models. - Build multi-turn conversational AI systems capable of contextual reasoning, grounding, and emotional intelligence. - Explore and implement retrieval-augmented generation (RAG) ...

As an experienced Machine Learning/Natural Language Processing professional with 4-6 years of experience, preferably in document-heavy domains such as finance, legal, or policy, you will have the following key responsibilities: - Data Ingestion and Preprocessing: - Build and maintain data pipelines to ingest unstructured data from PDFs, gazettes, HTML circulars, etc. - Process data extraction, parsing, and normalization. - NLP & LLM Modeling: - Fine-tune or prompt-tune Large Language Models (LLMs) for summarization, classification, and change detection in regulations. - Develop embeddings for semantic similarity. - Knowledge Graph Engineering: - Design entity relationships (regulation, contr...

As the Manager AI/ML Engineering at Coschool, you will play a crucial role in revolutionizing learning with AI by leading and scaling our AI initiatives to shape the future of intelligent learning systems. Here's what you can expect in this role: **Role Overview:** Join Coschool in building a next-gen EdTech platform that empowers educators and students to achieve their best through AI-driven solutions. **Key Responsibilities:** - Lead and mentor a high-performing team of AI/ML engineers. - Research, prototype, and develop robust ML models, including deep learning and GenAI solutions. - Oversee the full AI/ML project lifecycle from data preprocessing to deployment and monitoring. - Guide the...

As a Senior AI/ML Engineer for our prestigious client in the industry of Advanced AI Model Development, you will be responsible for leading advanced LLM development, fine-tuning, and deployment. Your expertise in AI solution development, from data engineering to model optimization and API integration, will be crucial. **Key Responsibilities:** - Train and fine-tune Large Language Models (LLMs) like Llama for diverse business applications - Build automated AI training pipelines for text and web-based datasets - Manage AI infrastructure across Mac Pro, GPU-enabled servers, and cloud platforms - Develop AI assistants for customer support, compliance, automation & more - Optimize and deploy mode...

As a Senior Software Developer at Amdocs Development Centre India LLP, located in Pune with a hybrid 3 days onsite work model, your role will involve designing, developing, and deploying scalable AI-driven solutions using Python and Generative AI libraries such as LangChain. You will collaborate with cross-functional teams, ensure scalability and reliability in hybrid cloud environments, and contribute to cutting-edge projects. Key Responsibilities: - Design, develop, and maintain Python-based applications focusing on LLMs and GenAI libraries like LangChain and LangGraph. - Collaborate with teams to integrate AI-driven applications into enterprise systems. - Ensure scalability, reliability, ...

As a Senior Data Scientist / Machine Learning Engineer, your role will involve designing, building, and deploying advanced machine learning and generative AI solutions to drive business value. This position requires a blend of deep technical expertise in data science, software engineering, and MLOps, along with strategic thinking. **Key Responsibilities:** - Design, develop, and deploy advanced machine learning and statistical models to address complex business problems. - Build, optimize, and maintain end-to-end ML pipelines, including data ingestion, preprocessing, feature engineering, model training, evaluation, and production deployment. - Lead Generative AI initiatives, leveraging LLMs,...

As a Senior Full-Stack Developer at Xceedance, you will be responsible for designing and developing AI-powered applications using Python, .NET Core, Angular, and Azure. Your role will involve integrating AI models, building scalable cloud-native systems, and utilizing tools like GitHub Copilot, Azure Foundry, and Agentic frameworks to accelerate development. Key Responsibilities: - Full-Stack Development - Build scalable backend services using Python and .NET Core (Web APIs, Entity Framework). - Develop responsive frontend applications using Angular (13+) and Streamlit for rapid AI tool prototyping. - Integrate AI/ML and LLM models into end-to-end application workflows. - AI-Driven SDLC - Us...

Role Overview: Join MakeMyTrip to shape the future of travel with AI-driven innovation, where you will work as a Senior Data Scientist to develop and fine-tune LLMs and AI agents for trip planning and dynamic personalization. Your role will involve building generative AI models for intelligent travel assistants, virtual experiences, and pricing engines. You will optimize real-time decision-making by leveraging advanced NLP techniques and high-quality data. Collaboration with cross-functional teams to deploy scalable AI solutions for millions of travelers is a key aspect of this role. Key Responsibilities: - Develop and fine-tune LLMs and AI agents for trip planning and dynamic personalizatio...

As a Senior Data Scientist at Auxo AI, your role will involve owning the full ML lifecycle, including model design, training, evaluation, and deployment. You will be responsible for designing production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection. Additionally, you will fine-tune LLMs, implement retrieval-augmented generation (RAG) pipelines, and build agentic workflows for reasoning, planning, and decision-making. Your responsibilities will also include developing real-time and batch inference systems using Docker, Kubernetes, and Spark, as well as collaborating with product and engineering teams to integrate AI models into business applications. Furthermore, you...

As a Data Science Lead specializing in AI and Generative AI Solutions, your role will involve designing, developing, and deploying production-grade AI solutions leveraging modern ML pipelines, open-source LLMs, and cloud-based data platforms. Your responsibilities will include: - Designing and implementing end-to-end ML and GenAI solutions, covering data collection, model training, deployment, and monitoring. - Building production-grade ML pipelines for data preprocessing, feature engineering, model building, validation, and performance tuning. - Developing Generative AI applications using open-source LLMs and cloud-based platforms. - Working with Computer Vision and Core ML frameworks for r...

Role Overview: As a Python AI Developer, your role will involve developing and deploying AI models using Python and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. You will work with internal databases like SQL and NoSQL to extract, clean, and preprocess data for AI models. Additionally, you will design and implement data pipelines for training and inference, optimize model performance, and ensure scalability. Collaboration with software developers to integrate AI solutions into production systems will also be part of your responsibilities. It is crucial to ensure the security and integrity of AI-driven applications and stay updated with the latest AI, ML, and data...

As an AI Engineer specializing in Speech-to-text and Text Generation, your role will involve solving a Conversational AI challenge for a client based in EMEA. Your primary focus will be on transcribing conversations and utilizing generative AI-powered text analytics to enhance engagement strategies and decision-making processes. Key Responsibilities: - Develop and fine-tune automatic speech recognition (ASR) models. - Implement language model fine-tuning for industry-specific language. - Build summarization models to extract key insights from conversations. - Develop sentiment and intent classification models. - Implement Named Entity Recognition (NER) to identify key topics. - Create predic...

Role Overview: As an AI Engineer specializing in Speech-to-Text and Text Generation, your role will involve solving a Conversational AI challenge for our client based in EMEA. The project aims to transcribe conversations and utilize generative AI-powered text analytics to enhance engagement strategies and decision-making processes. Key Responsibilities: - Develop and fine-tune automatic speech recognition (ASR) models. - Implement language model fine-tuning for industry-specific language. - Develop speaker diarization techniques for multi-speaker conversations. - Build summarization models to extract key insights. - Implement Named Entity Recognition (NER) for identifying key topics. - Apply...

Role Overview: As a Quality Engineer at Salesforce, you will play a crucial role in leading the design, development, and execution of comprehensive test plans and quality strategies, with a strong emphasis on automation. You will work closely with product and engineering teams, actively contributing to the quality of new features and ensuring the successful execution of regression tests across various environments. Your work will be in a fast-paced environment, requiring you to understand complex backend AI flow systems and dependencies, identify potential risks, and strategically plan and execute testing efforts to ensure the stability, reliability, and quality of features and releases. Key...

Experience: 6 to 9 years of hands-on experience in machine learning and AI engineering. Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar. Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows. Strong experience in prompt engineering to optimize AI models performance. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar. Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models. Experience with NLP tasks, such as text class...

Experience: 3 to 5 years of hands-on experience in machine learning and AI engineering. Proven track record in working with LLMs such as Llama, Mistral and models like GPT, BERT, T5, or similar. Expertise in designing, fine-tuning, and deploying generative AI models and building agentic workflows. Strong experience in prompt engineering to optimize AI models performance. Technical Skills: Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. Proficiency in building agentic workflows with tools like Langgraph, CrewAI, Autogen, PhiData or similar. Familiarity with cloud platforms (AWS, GCP, Azure) for deployment and scaling of models. Experience with NLP tasks, such as text class...

You are a deep-tech innovator at the intersection of Artificial Intelligence, machine-learning infrastructure, and edge-to-cloud platforms. Your award-winning solutions enable Fortune-500 enterprises to build, train, and deploy large-scale AI models seamlessly, securely, and at lightning speed. As the global demand for generative AI, RAG pipelines, and autonomous agents accelerates, you are scaling your MLOps team to keep your customers two steps ahead of the curve. **Role Overview:** As part of the MLOps team, your role involves owning the full MLOps stack by designing, building, and hardening GPU-accelerated Kubernetes clusters across on-prem DCs and cloud platforms for model training, fin...

Role Overview: As a Back-End Developer at SuperZoom, CBRE's data quality platform, your main responsibility will be to build new capabilities by focusing on developing a backend pipeline. This pipeline will be utilized to process client asset files, run data profiling and quality checks, and integrate LLM-based assessments via API calls such as ChatGPT. Your expertise in data processing, API integrations, and scalable backend architecture will play a crucial role in achieving success in this position. Key Responsibilities: - Develop a backend pipeline to ingest, profile, and assess client asset data files. - Implement data profiling and quality checks using appropriate libraries and framewor...

Role Overview: Cowbell is leading the way in cyber insurance by utilizing technology and data to provide small and medium-sized enterprises (SMEs) with early detection of cyber risk exposures paired with flexible cyber insurance coverage that can adapt to present and future threats. Embracing adaptive insurance, Cowbell closely monitors policyholders" cyber risk exposures as they change through ongoing risk assessment and underwriting. With its innovative AI-driven approach to risk selection and pricing, Cowbell's underwriting platform, powered by Cowbell Factors, streamlines the insurance process from submission to issuance in less than 5 minutes. Key Responsibilities: - Design and implemen...

Role Overview: You will be responsible for leading the design, development, and delivery of AI-powered web and mobile applications as a Senior Full Stack AI Developer at D Globalist in New Delhi. Your key focus will be on owning end-to-end architecture and code, driving advanced AI workflows, and mentoring a tech team to build scalable, high-performance products for entrepreneurs globally. Key Responsibilities: - Lead the design and architecture of scalable AI-driven features, covering both high-level system design and detailed component implementation. - Build and maintain responsive, high-performing UIs using Next.js, React, TypeScript, Tailwind CSS, and Flutter for cross-platform mobile a...

As a Senior Data Scientist, your role involves designing, developing, and deploying advanced AI/Data Science solutions with a focus on scalability and ethical AI. You will apply your expertise in machine learning frameworks and advanced techniques such as LLM fine-tuning, RAG implementations, and evaluation methods. Conducting applied research in areas like fraud detection, risk modeling, and automation will be part of your responsibilities. Additionally, you will perform data analysis and profiling on large datasets using SQL/KQL, collaborate with data engineers, and create Power BI dashboards aligned with business use cases. Your role will also require translating business needs into techn...