3 Finetuning Llms Jobs

Genpact is a global professional services and solutions firm dedicated to delivering outcomes that shape the future. With over 125,000 employees spread across more than 30 countries, we are characterized by our innate curiosity, entrepreneurial agility, and commitment to creating lasting value for our clients. Our purpose, which is the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises, including the Fortune Global 500, by leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist, specializing in Azure Generative AI & Advanced Analytics. In this role, we are seeking a highly skilled and experienced Data Scientist with hands-on expertise in Azure Generative AI, Document Intelligence, Agentic AI, and Advanced Data Pipelines. Your responsibilities will include developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. You will play a crucial role in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets to develop actionable insights and drive data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines for processing and analyzing large-scale datasets efficiently. - Implement Agentic AI techniques to develop intelligent, autonomous systems that can make decisions and take actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. - Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. - Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Stay up to date with the latest advancements in AI, ML, and data science, and apply best practices to enhance business operations. Qualifications: Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Relevant experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Strong proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is a plus. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. If you are passionate about leveraging your skills and expertise to drive AI-driven insights and automation in a dynamic environment, we invite you to apply for the role of Principal Consultant - Data Scientist at Genpact. Join us in shaping the future and creating lasting value for our clients.,

Genpact is a global professional services and solutions firm committed to delivering outcomes that help shape the future. With a team of over 125,000 individuals across 30+ countries, we are driven by curiosity, entrepreneurial agility, and a desire to create lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, empowers us to serve and transform leading enterprises, including the Fortune Global 500, utilizing our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently looking for a Principal Consultant - Data Scientist specializing in Azure Generative AI & Advanced Analytics. As a highly skilled and experienced professional, you will be responsible for developing and optimizing AI/ML models, analyzing complex datasets, and providing strategic recommendations for embedding models and Generative AI applications. Your role will be crucial in driving AI-driven insights and automation within our business. Responsibilities: - Collaborate with cross-functional teams to identify, analyze, and interpret complex datasets for actionable insights and data-driven decision-making. - Design, develop, and implement Generative AI solutions leveraging various platforms including AWS Bedrock, Azure OpenAI, Azure Machine Learning, and Cognitive Services. - Utilize Azure Document Intelligence to extract and process structured and unstructured data from diverse document sources. - Build and optimize data pipelines to efficiently process and analyze large-scale datasets. - Implement Agentic AI techniques to develop intelligent, autonomous systems capable of making decisions and taking actions. - Research, evaluate, and recommend embedding models, language models, and generative models for diverse business use cases. - Continuously monitor and assess the performance of AI models and data-driven solutions, refining and optimizing them as necessary. - Stay updated with the latest industry trends, tools, and technologies in data science, AI, and generative models to enhance existing solutions and develop new ones. - Mentor and guide junior team members to aid in their professional growth and skill development. - Ensure model explainability, fairness, and compliance with responsible AI principles. - Keep abreast of advancements in AI, ML, and data science and apply best practices to enhance business operations. Minimum Qualifications / Skills: - Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, or a related field. - Experience in data science, machine learning, AI applications, generative AI prompt engineering, and creating custom models. - Proficiency in Python, TensorFlow, PyTorch, PySpark, Scikit-learn, and MLflow. - Hands-on experience with Azure AI services (Azure OpenAI, Azure Document Intelligence, Azure Machine Learning, Azure Synapse, Azure Data Factory, Data Bricks, RAG Pipeline). - Expertise in LLMs, transformer architectures, and embeddings. - Experience in building and optimizing end-to-end data pipelines. - Familiarity with vector databases, FAISS, Pinecone, and knowledge retrieval techniques. - Knowledge of Reinforcement Learning (RLHF), fine-tuning LLMs, and prompt engineering. - Strong analytical skills with the ability to translate business requirements into AI/ML solutions. - Excellent problem-solving, critical thinking, and communication skills. - Experience with cloud-native AI deployment, containerization (Docker, Kubernetes), and MLOps practices is advantageous. Preferred Qualifications / Skills: - Experience with multi-modal AI models and computer vision applications. - Exposure to LangChain, Semantic Kernel, RAG (Retrieval-Augmented Generation), and knowledge graphs. - Certifications in Microsoft Azure AI, Data Science, or ML Engineering. Job Title: Principal Consultant Location: India-Noida Schedule: Full-time Education Level: Bachelor's / Graduation / Equivalent Job Posting: Apr 11, 2025, 9:36:00 AM Unposting Date: May 11, 2025, 1:29:00 PM Master Skills List: Digital Job Category: Full Time,

As a Senior Data Scientist specializing in Generative AI at our organization, you will play a crucial role in driving technical innovation and delivering impactful results within a team setting. You will be responsible for working with financial data, applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and troubleshooting and debugging GenAI models in production. To excel in this role, you must possess a Master's degree in Computer Science, Data Science, or a related field, with a Ph.D. being preferred. You should have 8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI. Additionally, you should have demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation. You must stay up-to-date with the rapidly evolving GenAI landscape, continuously learn and explore new tools and techniques, and effectively communicate technical concepts to non-technical stakeholders. Proficiency in Python, along with expertise in key libraries for AI/ML and GenAI applications such as TensorFlow, PyTorch, and Transformers, is mandatory. Experience in designing and implementing scalable API architectures for GenAI applications, along with a deep understanding of Machine Learning concepts, is essential. Preferred qualifications for this role include experience with MLOps, cloud computing platforms, conversational AI solutions, and contributions to research and publications in the field of Generative AI. As a Senior Data Scientist, you will be expected to demonstrate strong technical leadership and mentorship skills, as well as excellent communication and collaboration abilities. This job description provides a comprehensive overview of the responsibilities and qualifications required for the Senior Data Scientist position. If you are a highly motivated individual with a strong passion for Generative AI and possess the necessary technical skills and experience, we encourage you to apply for this role.,