1635 Llms Jobs - Page 34

Key Responsibilities Leadership and Team Management Lead, manage, and mentor a high-performing team of data scientists, ensuring excellence in technical execution and professional development. Define, implement, and refine the data science strategy and roadmap, aligning with the organization&aposs long-term goals and evolving business needs. Cultivate a culture of technical innovation, collaboration, and continuous learning within the data science team. Strategic Collaboration and Communication Partner with senior leadership to identify and address strategic opportunities and challenges through data science initiatives. Present complex, data-driven insights and strategic recommendations to e...

Job Overview Were looking for a Lead Data Scientist with a passion for both math and technology to join our growing Advanced Analytics group. This group writes the math and software to unlock the value in data assets while creating new and unique decision product offerings for customers. In this role, you will have the opportunity to work directly with the business innovation teams, marketing, sales and global customers along with expertise from Ecolabs Center for Advanced Analytics, to develop the data strategy and advanced analytics applications pipeline. You will have the opportunity to stay on the cutting edge of technology research and then to put your skills this research to practical ...

Job Description: Data Science Trainer We're seeking a committed Technical Data Science Trainer to join us in delivering the next generation of AI technical training. This is not just a job - it's an opportunity to play a key role in empowering the next generation of AI/ML professionals, influencing their careers and contributing to the growing AI ecosystem. The role also helps get recognized as a leader in the AI training space while expanding your personal and professional brand This role is ideal for someone passionate about both teaching and technology, capable of helping learners become skilled professionals in AI and related fields. Skills: AI, Machine Learning, Python, Numpy, Pandas, R...

Core AI is at the forefront of Microsoft's mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software. The Future of Scalable Software Engineering ( FoSSE ) team's objective is to build capabilities to enable AI-enabled modernization of very large code bases on a large scale and with very high quality. Job Purpose Overview In this role, you will help define the future of s...

Business Group Overview Core AI is at the forefront of Microsoft's mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software. The Future of Scalable Software Engineering ( FoSSE ) team's objective is to build capabilities to enable AI-enabled modernization of very large code bases on a large scale and with very high quality. Job Purpose Overview In this role, you will hel...

Role Overview: As a GenAI Specialist at Birlasoft, you will be completely hands-on with building applications using GenAI models and frameworks. You will serve as the primary technical expert for GenAI technologies, focusing on enhancing the GenAI footprint across clients by developing, implementing, and optimizing advanced AI models and solutions. Your role will involve defining best practices, standards, and templates for AI solutions, conducting workshops, demos, and client presentations on GenAI use cases, and collaborating closely with cross-functional teams to identify, evaluate, and implement use cases across different customers. Additionally, you will evaluate and integrate emerging ...

As a Senior GenAI / Agentic AI Specialist with 6-8 years of overall experience in AI/ML, including at least 2 years of hands-on expertise in Generative AI and agentic AI systems, your role will involve working with advanced AI models, designing agent workflows, and integrating AI systems into enterprise environments with a focus on scalability, security, and responsible AI practices. Key Responsibilities: - Work with Generative AI technologies including LLMs, diAusion models, and enterprise applications. - Develop and optimize agentic workflows, including multi-agent collaboration and orchestration. - Design and implement Generative AI solutions tailored for enterprise use cases. - Integrate...

Role Overview: You will be a part of the People & ORG CoE team at the Bain Capability Network (BCN), working on building and deploying analytical solutions related to Operating Model and Organization Practice. Your main responsibility will involve developing, maintaining, and evolving advanced internal tools with a focus on Python. Additionally, you will contribute to case delivery by generating meaningful insights for Bain clients using these tools. You will also play a role in creating efficiency gains and driving innovation within the team. Key Responsibilities: - Become an expert in developing and maintaining advanced internal tools with a focus on Python - Handle end-to-end tool process...

As a Generative AI Architect at NiCE, you will be responsible for providing technical leadership and architectural direction for the development and integration of Generative AI solutions within the organization's product portfolio and platform. Your role will involve collaborating closely with engineering, data science, product, and business stakeholders to ensure effective design, scalability, security, and operationalization of GenAI-powered features and systems. **Key Responsibilities:** - Set the end-to-end technical direction for Generative AI initiatives, including platform, technology stack, tools, and infrastructure. - Architect, design, and oversee the implementation of GenAI model...

Role Overview: As a Junior ML Engineer, you will be exposed to real-world machine learning systems from day one. You will support model development, testing, and deployment, and also take ownership of core data tasks like ingestion, vectorization, and indexing that form the backbone of the AI search engine. This role is perfect for someone who wants to grow fast, work with state-of-the-art AI tools, and help shape the future of legal research. Key Responsibilities: - Assist in Building and Deploying AI Models - Support senior ML engineers in developing search relevance models using LLMs and RAG. - Help test and evaluate embedding quality, ranking performance, and retrieval accuracy. - Contri...

As a Solution Architect specializing in AI & Automation, your role will involve designing and delivering cutting-edge agentic automation solutions that leverage technologies such as UiPath RPA, AI Agents, LLMs, and Generative AI. Your focus will be on building scalable, secure, and reusable architectures to optimize operations, enhance decision-making, and accelerate digital transformation. Key Responsibilities: - Design end-to-end automation solutions using UiPath RPA, AI Agents, LLMs, and Generative AI. - Define scalable, reusable, and secure solution architectures aligned with business and technology strategies. - Partner with stakeholders to understand business challenges and craft intel...

Unlock the future of intelligent automation with a visionary AI Developer who excels in crafting agentic AI applications that effortlessly connect with structured databases. If you're passionate about pushing technological boundaries, possess deep expertise in LLMs, RAG, and orchestration frameworks, and thrive on transforming complex business needs into scalable, AI-driven solutions, this is your opportunity to make a transformative impact. Key Responsibilities: Design and develop agentic bots powered by Large Language Models (LLMs) to interact with structured databases (SQL, Snowflake, etc.). Integrate AI agents with external tools and data sources using Model Context Protocol (MCP). Imple...

Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai , LangChain , and LangGraph . You will work at the intersection of LLMs , Retrieval-Augmented Generation (RAG) systems, and NLP , enabling impactful AI applications across diverse domains. Key Responsibilities Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph). Own the AI solution lifecycle , including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring. Develop scalable AI backends and pipelines using ...

Why this role exists Were scaling our AI product suite - invoice & contract and terms extraction, anomaly and overpayment detection, and analyst workflows for both internal and client users. We need a product leader who can turn ambiguous customer pain into shipped, secure, and measurable AI features that enterprise customers love and finance leaders trust. What youll own Strategy & Outcomes Define and own the AI product strategy and measurable outcomes for recovery, accuracy, and time-to-value across enterprise accounts. Translate market and customer signals (Procurement, AP, Audit, Infosec, Legal) into a prioritized roadmap with clear trade-offs. Product Discovery Run deep discovery with F...

Company: Technodysis Pvt Ltd Location: Bangalore Experience: 6 - 8 Years Notice Period: Immediate Joiners Preferred Job Description: We are seeking a Technical Lead AI Development to lead AI solution design and implementation. This role requires technical leadership in architecting LLM-based AI workflows and mentoring developers. Key Responsibilities: Lead a team/module in building AI-driven applications Architect solutions using LLMs and agentic frameworks Provide guidance on AI model design, prompt engineering, and fine-tuning Integrate APIs, tools, and external systems with AI agents Ensure high-quality coding standards, version control, and CI/CD practices Collaborate with cross-function...

• Proficiency with Python (Pandas, NumPy), SQL, and Java. • Experience with LLMs, Lang Chain, and Generative AI technologies. • Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). • Microservices, CI CD, ML Required Candidate profile • Machine Learning, NLP, Recommender system, personalization, Segmentation, microservice architecture & API development • Data engineering concepts like data lakes, columnar formats, ETL & BI tools

Responsibilities: *Design, develop & deploy AI/ML models using Python,deep learning & Agentic AI *Optimize model performance with Vector Databases & Docker/Kubernetes. Python, LLMs, PyTorch/TensorFlow, Hugging Face, NLP, Cloud,Model Deployment

As a candidate for this role, your main responsibilities will include: - Establishing and scaling the Advisory service Practice, driving strategic initiatives and solution offerings across verticals - Defining the practice roadmap, managing budgets, and contributing to P&L growth - Collaborating with sales and presales teams to develop go-to-market strategies and participate in key client pursuits - Driving innovation by integrating new-age technologies such as AI/ML, LLMs, and Generative AI into advisory delivery - Building frameworks, accelerators, and reusable assets to improve scalability and delivery maturity - Representing the Organization at external industry forums, client events, an...

As a Transformation Lead at Capgemini Invent, you will play a key role in driving the organization's journey towards intelligent, scalable, and AI-augmented systems. Your responsibilities will include: - Designing and building secure, scalable applications using Azure services like App Services, Functions, and Azure DevOps. - Implementing GenAI solutions using frameworks such as LangChain, LangGraph, Autogen, crewAI, or OpenAI Agent SDK to orchestrate multi-step reasoning and agent workflows. - Delivering AI-powered solutions for production use cases such as intelligent document processing, automated content generation, enterprise search assistants, and decision-support systems, employing te...

As an experienced consulting professional in the field of Data Science or AI/ML Engineering, you will be responsible for understanding solutions, industry best practices, and implementing Oracle products and technology to meet customer needs. You will operate independently to deliver high-quality work products to engagements, applying Oracle methodology, company procedures, and leading practices. **Key Responsibilities:** - Lead end-to-end AI/ML solution design and production deployment - Specialize in Generative AI, LLMs, NLP, and AI agent development - Expertise in Python and modern ML/NLP frameworks such as HuggingFace, LangChain, PyTorch, TensorFlow - Fine-tune LLMs for domain-specific a...

As a forward-thinking and AI-native VP of Product Management at Zycus, you will have the opportunity to lead the next frontier of innovation in Agentic AI and autonomous enterprise software. Your role will involve transforming Zycus" suite of procurement and supply chain solutions into next-gen, AI-driven products with built-in intelligence, automation, and adaptability. You will be empowered with complete ownership, from vision and design to launch and market success. **Key Responsibilities:** - Lead the vision, strategy, and execution of AI-first enterprise products, especially those leveraging Agentic AI, LLMs, intelligent agents, and advanced automation. - Drive product innovation that e...

As a Junior AI Engineer, you will be part of a fast-moving team working on developing and integrating LLMs and Generative AI tools into real-world applications. You will contribute to model experimentation, fine-tuning, prompt engineering, and data preparation while growing your understanding of how these technologies power modern software systems. Key Responsibilities: - Work with LLMs (e.g., OpenAI, Hugging Face Transformers) to develop, fine-tune, and integrate models into products. - Design and test prompts for various tasks (prompt engineering) to improve model outputs. - Support development and deployment of generative AI applications (text, code, or image generation). - Write Python c...

As a Data Scientist at C5i, you will be part of a team that caters to some of the world's largest enterprises, including Fortune 500 companies across various sectors such as Technology, Media, Telecom, Pharma & Lifesciences, CPG, Retail, and Banking. C5i has garnered recognition from industry analysts like Gartner and Forrester for its Analytics and AI capabilities along with proprietary AI-based platforms. **Key Responsibilities:** - Possess 4+ years of experience in machine learning, deep learning, or AI research, focusing on generative models. - Demonstrated expertise in generative models including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-ba...

As an AI Engineer at InteligenAI, you will play a crucial role in leading AI solution delivery for various client engagements. Your responsibilities will involve understanding business problems, designing technical solutions, and overseeing the complete product lifecycle of AI systems. You will collaborate with clients, founders, and the AI team to create impactful solutions. This dynamic role requires a proactive approach, constant learning, and the ability to handle multiple responsibilities simultaneously. Key Responsibilities: - Understand business problems and develop solution architectures for end-to-end AI solution delivery. - Design and implement production-grade ML/GenAI systems tai...

Role Overview: You will be a part of the Data and Analytics (D&A) team at EY as a Senior Data Scientist. With a minimum of 3-7 years of experience in Data Science and Machine Learning, you will be involved in developing and implementing AI solutions, particularly focusing on NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. Your role will be crucial in leveraging your technical expertise to contribute to cutting-edge AI models and systems. Responsibilities: - Contribute to the design and implementation of state-of-the-art AI solutions. - Assist in the development and implementation of AI models and systems, utilizing techniques such as Language Models (L...