18 Finetuning Techniques Jobs

Role Overview: As a Machine Learning Engineer at Merkle, your primary responsibility will be to lead the collaboration with ML Engineers and DevOps Engineers to formulate AI designs that can be built, tested, and deployed through the Route to Live and into Production using continuous integration/deployment. Key Responsibilities: - Model fine-tuning: Utilize open-source libraries like DeepSpeed, Hugging Face Transformers, JAX, PyTorch, and TensorFlow to enhance model performance - Model deployment and maintenance: Deploy and manage Large Language Models (LLMs) on cloud platforms - Data curation and preparation: Curate and prepare training data, monitor data quality, and transform, aggregate, ...

You are invited to join Optimum Data Analytics (ODA), where we specialize in providing advanced data and AI solutions customized to address real-world challenges. As a Lead Data Scientist / AI Solution Architect, you will play a crucial role in designing and deploying AI/ML solutions using cutting-edge technologies such as Azure Cloud, LLMOps, Containerized environments, and Generative AI tools. This position is based in Pune, allowing you to collaborate closely with cross-functional teams on impactful projects. Key Responsibilities: - Architect and implement end-to-end AI/ML solutions utilizing Azure AI/ML services - Lead the design and development of LLMOps pipelines for deploying and mana...

In this role as an AI Specialist at our company based in Hyderabad, you will be responsible for training and fine-tuning LLMs such as LLaMA and Mistral to cater to company-specific use cases. You will play a vital role in customizing and optimizing model performance for seamless production deployment. Collaboration with internal teams for model integration and data pipelines will be a key aspect of your role. It is imperative that you stay abreast of the latest advancements in GenAI and LLM techniques to contribute effectively. **Key Responsibilities:** - Train and fine-tune LLMs like LLaMA and Mistral for company-specific use cases. - Customize and optimize model performance for production ...

As a ML Engineer at ClearTrail, you will be responsible for developing and implementing end-to-end machine learning pipelines for various analytics problems. You will utilize your expertise in machine learning (ML) and Large Language Models (LLM) to tackle challenges using cutting-edge language models. Additionally, you will stay updated with the latest advancements in the field of Artificial Intelligence through continuous research and innovation. Key Responsibilities: - Develop and implement end-to-end machine learning pipelines for a diverse range of analytics problems, including model development and refinement. - Communicate results effectively to a varied audience with technical and no...

Role Overview: You will be responsible for leveraging your 3+ years of experience in Data Science, machine learning, or related fields to tackle structured and unstructured data problems. Your expertise in Machine Learning and Statistics will be crucial as you develop, implement, and deploy machine learning models on cloud platforms such as Azure, AWS, and GCP. Your role will involve integrating machine learning models into existing systems, developing MLOps pipelines, monitoring model performance, and providing insights to stakeholders. Key Responsibilities: - Apply practical experience in time series forecasting, clustering, classification techniques, regression, boosting algorithms, optim...

Role Overview: As an NLP Engineer at Tiger Analytics, you will play a crucial role in developing and deploying NLP & Generative AI solutions, with a focus on Large Language Models (LLMs) and fine-tuning techniques. Your typical day will involve collaborating with experienced team members, supporting internal product development, and contributing to client-focused projects, particularly in the pharma domain. You will have the opportunity to work on GenAI applications, address challenges like bias and latency, and participate in the full lifecycle of AI project delivery under the guidance of senior team members. Additionally, you will be part of a collaborative environment, sharing ideas and w...

Role Overview: As an AI/ML Engineer specializing in Language Models, you will be an integral part of our dynamic team, dedicated to creating, training, optimizing, and deploying advanced Language Models (LMs), with a focus on Large Language Models (LLMs). Your role will involve shaping innovative AI solutions that enhance conversational intelligence, automation, and user-centric applications by working closely with LM architectures to ensure scalability and efficiency. Key Responsibilities: - Design and build custom Language Models (LMs) and Large Language Models (LLMs) using cutting-edge architectures like transformers. - Train models on extensive datasets, developing efficient training pip...

Role Overview: As a GenAI Sr. Developer at Birlasoft, you will focus on the development, implementation, and engineering of GenAI applications using the latest LLMs and frameworks. Your role will require hands-on expertise in Python programming, cloud platforms, and advanced AI techniques, along with additional skills in front-end technologies, data modernization, and API integration. You will be responsible for building applications from the ground up, ensuring robust, scalable, and efficient solutions. Key Responsibilities: - Build GenAI applications from scratch using frameworks like Langchain, LangGraph, and LlamaIndex. - Demonstrate practical knowledge of Multi-agentic AI frameworks lik...

Role Overview: As a AI Model Development and Deployment Lead, your main responsibility will be to collaborate with ML Engineers and DevOps Engineers in formulating AI designs that can be built, tested, and deployed through the Route to Live and into Production using continuous integration/deployment processes. Key Responsibilities: - Model fine-tuning using open-source libraries like DeepSpeed, Hugging Face Transformers, JAX, PyTorch, and TensorFlow to improve model performance - Model deployment and maintenance, which involves deploying and managing Large Language Models (LLMs) on cloud platforms - Data management and pipeline operations, including curating and preparing training data, tran...

You are being offered a role at Optimum Data Analytics (ODA) as a Lead Data Scientist / AI Solution Architect. At ODA, the focus is on empowering organizations with advanced data and AI solutions tailored to real-world challenges. As part of the AI & Data team, you will play a crucial role in designing and deploying AI/ML solutions with cutting-edge technologies. **Role Overview:** As a Lead Data Scientist / AI Solution Architect at ODA, your responsibilities will include: - Architecting and implementing end-to-end AI/ML solutions using Azure AI/ML services - Leading the design and development of LLMOps pipelines for deploying and managing large language models (LLMs) - Working with containe...

As a ML Engineer at ClearTrail, you will be part of a team dedicated to creating solutions that empower individuals committed to ensuring the safety of their people, places, and communities. With over 21 years of experience, ClearTrail is a trusted partner of law enforcement and federal agencies worldwide in protecting nations and enhancing lives. You will be working in Indore, Madhya Pradesh, utilizing your expertise in machine learning and Large Language Models (LLM). **Roles and Responsibilities:** - Develop and implement end-to-end machine learning pipelines for a diverse range of analytics problems, including model development and refinement. - Effectively communicate results to a varie...

Role Overview: As an AI Specialist at the company in Hyderabad, your main responsibility will be to train and fine-tune LLMs like LLaMA and Mistral to meet the specific needs of the company. Your role will involve customizing and optimizing model performance for smooth deployment in production. You will collaborate with internal teams to integrate models and data pipelines effectively. It is essential for you to keep yourself updated with the latest developments in GenAI and LLM techniques to make meaningful contributions. Key Responsibilities: - Train and fine-tune LLMs such as LLaMA and Mistral for company-specific use cases - Customize and optimize model performance for seamless productio...

As a Responsible AI Data Scientist for Strategy and Talents Human-Centered AI and Innovation Department at Standard Chartered, you will be at the forefront of empowering responsible AI adoption within Strategy and Talent (S&T). Your role will involve shaping the future of employee/candidate-facing AI solutions that S&T enable and influence for the entire organization. You are expected to have a strong understanding of machine learning techniques and a keen interest in AI ethics, particularly focusing on addressing potential biases in data and algorithms, explainability, AI literacy, and strategies to promote transparency and accountability. Your key responsibilities will include: - Applying ...

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As an AI Automation Architect for Customer Business Process Manager, you will be responsible for working on end-to-end pipelines, enabling data curation, building and fine-tuning Generative AI models, and deploying them into scalable production streams. This role offers a fantastic opportunity to be part of a leading firm and instrumental in...

As a Senior Developer for GenAI Applications, your primary focus will be on coding, developing, and implementing GenAI applications using fine-tuned Large Language Models (LLMs) and Small Language Models (SLMs). In this role, you will utilize your hands-on expertise in open-source frameworks, libraries, and cloud tools to prototype and demonstrate innovative GenAI solutions under the guidance of senior team members. Your contributions will be essential in delivering high-quality, scalable, and cutting-edge applications. Responsibilities: - Write clean, efficient, and maintainable code for GenAI applications using Python and various open-source frameworks such as autogen and crew.ai. - Fine-t...

As an NLP Engineer at Tiger Analytics, you will have the opportunity to work on cutting-edge AI and analytics projects to help Fortune 1000 companies overcome their toughest challenges. You will be part of a global team of technologists and consultants dedicated to empowering businesses to achieve real outcomes and value at scale. Your role will involve collaborating with experienced team members on internal product development and client-focused projects, with a focus on the pharma domain. You will play a key role in designing, developing, and deploying GenAI solutions, with a particular emphasis on addressing challenges like hallucinations, bias, and latency. Your day-to-day responsibiliti...

As an experienced Python programmer, you will be responsible for developing GenAI applications and automation tools using your deep expertise in Python. Your role will involve the productionization of GenAI applications beyond Proof of Concepts (PoCs) by utilizing scale frameworks and tools such as Pylint and Pyrit. In addition to Python programming, you should be proficient in working with LLM Frameworks, including Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. Your expertise in these frameworks will be essential for enhancing GenAI applications. Moreover, you will leverage your extensive experience with cloud platforms such as Azure, GCP, and AWS to deploy and manage GenAI applica...

The Implementation Technical Architect role focuses on designing, developing, and deploying cutting-edge Generative AI (GenAI) solutions using the latest Large Language Models (LLMs) and frameworks. Your responsibilities include creating scalable and modular architecture for GenAI applications, leading Python development for GenAI applications, building tools for automated data curation, integrating solutions with cloud platforms like Azure, GCP, and AWS, applying advanced fine-tuning techniques to optimize LLM performance, establishing LLMOps pipelines, ensuring ethical AI practices, implementing Reinforcement Learning with Human Feedback and Retrieval-Augmented Generation techniques, colla...