63 Llm Finetuning Jobs

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...

You will be responsible for leading and guiding teams and team captains, assisting in the planning and execution of tasks. Your role will involve fostering a POD culture that values experimentation and ownership while collaborating and coordinating with employees across all levels to prioritize and align POD activities and deliverables. Your aim will be to create a unified team within the POD, ensuring everyone works together towards their objectives. Additionally, you will facilitate meetings for discussions, including brainstorming, problem identification, and solution development, as well as identify and address any risks or issues related to the POD. It will be crucial for you to adhere ...

You will partner closely with the sales team to architect custom GenAI solutions that meet client requirements. You will design and implement AI workflows using RAG (Retrieval-Augmented Generation) architectures. Additionally, you will work with Large Language Models (LLMs) to solve complex business challenges. Your role will involve translating technical capabilities into compelling client presentations and proposals. Furthermore, you will guide end-to-end solution development from concept to deployment. - Deep expertise in GenAI technologies, including RAG, vector databases, and LLM fine-tuning - Strong background in solution architecture and system design - Experience collaborating with s...

As a skilled LLM / GenAI Expert, your role will involve driving innovative AI/ML solutions and spearheading the development of advanced GenAI-powered applications. You should possess strong Python programming skills and hands-on experience in Large Language Models (LLMs), prompt engineering, and GenAI tools and frameworks. Your natural abilities should include being smart, self-motivated, responsible, an out-of-the-box thinker, detail-oriented, and a powerful analyzer. In addition, excellent writing and communication skills are essential for this role. **Key Responsibilities:** - Lead the design and development of GenAI/LLM-based products and solutions. - Mentor and support junior engineers ...

As a Senior Analyst / Data Scientist specializing in Generative AI and NLP at Tiger Analytics, you will be at the forefront of AI innovation, designing and deploying sophisticated models to solve complex business problems. Your typical day would involve the following 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 opportunities. - Model Customization & Fine-Tuning: Apply state-of-the-art techniques like LoRA, PEFT, and fine-tuning of large language models to adapt solutions to specific use cases, ensurin...

As an AI Audio/Speech Developer, you will be responsible for working independently to build AI/DL models from scratch. Your role will involve coding relevant research papers in the fields of NLP, Audio, ML, and DL. Key Responsibilities: - Training, fine-tuning, and optimization of different flavors of transformer models. - Hands-on experience with Large Language Models (LLM), fine-tuning, and optimization of LLM. Qualifications Required: - 2-5 years of experience in development in NLP, Audio, and ML/DL. - Must have Audio & NLP AI experience. - Good programming knowledge in Python and C++. - Hands-on experience with ASR frameworks like Kaldi, DeepSpeech, or Wav2Vec. - Knowledge of acoustic mo...

As a Senior Data Scientist at AuxoAI, you will play a significant role in designing, deploying, and scaling production-grade ML systems. Your expertise in AI, machine learning engineering (MLE), and generative AI will be utilized to work on large language model (LLM)-based pipelines, AI copilots, and agentic workflows to build impact-first AI applications. This role requires a balance between cutting-edge research and production rigor, along with a passion for mentoring team members. **Key Responsibilities:** - Own the full ML lifecycle: model design, training, evaluation, deployment - Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection - Fine-tune LLMs ...

Role Overview: As an AI/ML Full Stack Engineer, you will be responsible for implementing end-to-end, AI-powered solutions. Your primary focus will be on building and integrating AI solutions, full stack development, conversational flow & orchestration, data engineering & infrastructure, and cross-functional collaboration. Key Responsibilities: - Developing, training, and maintaining machine learning models such as NLP and recommendation engines for personalized product recommendations and conversational interfaces. - Implementing scalable pipelines to process and analyze large datasets including product data, user interactions, and logs. - Designing REST or GraphQL APIs to enable real-time c...

As a Gen AI Engineer- LLM at our company, your role will primarily involve designing and optimizing ChatGPT agents and other LLM models tailored for marketing, sales, and content creation purposes. Your contributions will be instrumental in developing AI-driven bots to enhance content generation, customer engagement, and streamline business operations. Key Responsibilities: - Design and fine-tune ChatGPT agents and various LLM models specifically for marketing and sales applications. - Set context and refine models to align with the unique content and interaction requirements of the business. - Collaborate with cross-functional teams to seamlessly integrate LLM-powered bots into marketing st...

Role Overview: You will be working as an AI Engineer with expertise in Speech-to-text and Text Generation to tackle a Conversational AI challenge for a client in EMEA. The project aims to transcribe conversations and utilize generative AI-powered text analytics for enhancing engagement strategies and decision-making processes. Key Responsibilities: - Developing Conversational AI & Call Transcription solutions - Creating NLP & Generative AI Applications - Performing Sentiment Analysis & Decision Support tasks - Handling AI Deployment & Scalability aspects - Working on real-time transcription, intent analysis, sentiment analysis, summarization, and decision-support tools Qualifications Require...

As an experienced Lead Data Scientist with a minimum of 8 years of professional experience, including at least 6 years in a data science role, your expertise lies in statistical modeling, machine learning, deep learning, and GenAI. Python proficiency is a must, and you should have hands-on experience in optimizing code for performance. You excel in data preprocessing, feature engineering, data visualization, hyperparameter tuning, and have a solid understanding of database concepts, especially when working with large datasets. Experience in deploying and scaling machine learning models in a production environment, along with familiarity with machine learning operations (MLOps) and related to...