2717 Llm Jobs - Page 12

Job Responsibilities Evaluate and source appropriate cloud infrastructure solutions for machine learning needs, ensuring cost-effectiveness and scalability based on project requirements. Automate and manage the deployment of machine learning models into production environments, ensuring version control for models and datasets using tools like Docker and Kubernetes. Set up monitoring tools to track model performance and data drift, conduct regular maintenance, and implement updates for production models. Work closely with data scientists, software engineers, and stakeholders to align on project goals, facilitate knowledge sharing, and communicate findings and updates to cross-functional teams...

We are seeking a highly skilled Python Developer with expertise in Artificial Intelligence, Retrieval-Augmented Generation (RAG) integration, and Model Context Protocol (MCP). The candidate will be responsible for developing scalable applications, building intelligent search and conversational systems, and enabling seamless interaction between enterprise systems and LLMs using RAG + MCP pipelines. Key Responsibilities: Design, develop, and maintain applications in Python . Implement RAG pipelines by integrating LLMs (OpenAI, Azure OpenAI, Hugging Face, LangChain, LlamaIndex, etc.) with enterprise and external data sources. Develop MCP-based integrations to connect tools, APIs, and enterprise...

Key Responsibilities Develop, deploy, and maintain ML services using Langserve for efficient model serving. Monitor model performance and manage observability using Langfuse . Containerize applications and services using Docker for consistent development and production environments. Orchestrate and manage containerized workloads using Kubernetes (EKS/GKE/AKS or self-managed). Write and maintain Groovy scripts for automation and CI/CD pipelines. Collaborate with data scientists, backend engineers, and DevOps teams to ensure smooth ML model delivery. Optimize infrastructure cost, reliability, and scalability for ML workflows. Implement monitoring, alerting, and logging best practices. Required...

Strong problem-solving and analytical skills , with the ability to translate complex AI concepts into scalable engineering solutions. Ability to rapidly prototype and iterate on GenAI and LLM-based applications, balancing innovation with performance and reliability. Effective collaboration across cross-functional teams , including data scientists, researchers, and product stakeholders, to deliver impactful AI solutions. Clear and concise communication skills , capable of presenting technical ideas to both technical and non-technical audiences. Commitment to engineering excellence , including writing clean, maintainable code, conducting thorough code reviews, and following best practices in s...

At PwC AC, we are currently looking for candidates for the following role Role: Generative AI - Data Scientist Location: Bangalore, Hyderabad, Mumbai & Kolkata. Years of Experience: Candidates with 4+ years of hands-on experience As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities: - Collaborate with product, engineering, and domain experts to identif...

Senior Data Scientist (Agentic AI) Primary Skills: Data Science, AI/ML, GenAI, LLM, NLP, Any Cloud (Azure/AWS/GCP) Roles & Responsibilities: Develop custom data models and algorithms to apply to data sets. Developing and implementing advanced machine learning models to address complex problems. Clearly communicate findings and recommendations, data-driven insights to PMs and executives. Qualifications: Bachelors/Masters degree in Computer Science, Engineering, or a related technical field with minimum 5 years experience. Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models. Practical hands-on fine-tuning/transfer learning/optimization of the Transformer...

Experience : 4~6 years in ML/NLP, preferably in document-heavy domains (finance, legal, policy) Key Responsibilities: Data Ingestion and Preprocessing : Ability to build and maintain data pipelines to ingest unstructured data from PDFs, gazettes, HTML circulars etc. and process data extraction, parsing, and normalization NLP & LLM Modeling : Ability to fine-tune or prompt-tune LLMs for summarization, classification, and change detection in regulations. Ability to develop embeddings for semantic similarity. Knowledge Graph Engineering : Ability to design entity relationships (regulation, control, policy) and implement retrieval over Neo4j or similar graph DBs. Information Retrieval (RAG) : Ab...

Design, implement, and evaluate data-driven solutions using advanced machine learning and Agentic AI frameworks. Work on LLM-based architectures, including prompt engineering, memory systems, and agent orchestration (e.g., LangChain, AutoGPT).

Design, implement, and evaluate data-driven solutions using advanced machine learning and Agentic AI frameworks. Work on LLM-based architectures, including prompt engineering, memory systems, and agent orchestration (e.g., LangChain, AutoGPT).

Design, implement, and evaluate data-driven solutions using advanced machine learning and Agentic AI frameworks. Work on LLM-based architectures, including prompt engineering, memory systems, and agent orchestration (e.g., LangChain, AutoGPT).

We are seeking a highly skilled AI/ML Engineer with a solid foundation in Machine Learning and deep hands-on experience in Generative AI (GenAI). Agentic experience is must.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please provide your resume in English and specify your proficiency level. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and ...

Key Responsibilities Develop, deploy, and maintain ML services using Langserve for efficient model serving. Monitor model performance and manage observability using Langfuse . Containerize applications and services using Docker for consistent development and production environments. Orchestrate and manage containerized workloads using Kubernetes (EKS/GKE/AKS or self-managed). Write and maintain Groovy scripts for automation and CI/CD pipelines. Collaborate with data scientists, backend engineers, and DevOps teams to ensure smooth ML model delivery. Optimize infrastructure cost, reliability, and scalability for ML workflows. Implement monitoring, alerting, and logging best practices. Required...

Primary Responsibilities: Lead applied research in LLMs, generative AI, and multimodal models Evaluate and experiment with state-of-the-art architectures (e.g., Transformers, Diffusion Models, Retrieval-Augmented Generation) Publish internal whitepapers and contribute to external conferences where applicable Engineering & Implementation Design and implement scalable AIML pipelines using frameworks like PyTorch, TensorFlow, Hugging Face, and MLflow Collaborate with engineering teams to deploy models into production using MLOps best practices (CI/CD, model versioning, monitoring) Tooling & Infrastructure Evaluate and integrate advanced AIML tools such as GitHub Copilot, Windsurf, Vertex AI, Az...

Leveraging knowledge in analytical and statistical algorithms to assist stakeholders in improving their business Partnering on the design and implementation of statistical data quality procedures for existing and new data sources Communicating complex data science solutions, concepts, and analyses to team members and business leaders Presenting data insights & recommendations to key stakeholders Establishing links across existing data sources and finding new, interesting data correlations Ensuring testing and validation are components of all analytics solutions Skills : Strong proficiency in predictive analytics, prescriptive analytics, AI, machine learning, and statistical modeling Proficie...

Roles and Responsibilities Manage technical delivery of GenAI projects, ensuring timely completion within budget and quality standards. Collaborate with cross-functional teams to design, develop, test, and deploy AI/ML models using AWS services such as SageMaker, Comprehend, etc. Provide technical guidance to junior team members on best practices for data analytics, machine learning, and AI model development. Ensure compliance with industry security standards (e.g., HIPAA) during project execution. Identify potential roadblocks early on and develop mitigation strategies to minimize delays. Desired Candidate Profile 1 2-18 years of experience in Delivery Management or Technical Delivery roles...

If interested, please share CV on dhanashree.kumbhare@randstad.in *Work from home opportunity* Need mainly from BSc- Physics/Chemistry/Mathematics and Finance and Accounting background.

We are hiring a Gen AI Architect to design intelligent, agentic systems on Google Cloud. Requires expertise in Python, Prompt Engineering, LangChain, LangGraph, Semantic Kernel, Gemini 2.5, multi-agent orchestration, LLMs, & scalable AI architecture.

Responsibilities: * Develop generative AI models using Hugging Face, Prompt Engineering & NLP DL. * Implement LLM strategies with PyTorch, Agentic AI & MLOps. * Only for the Lead role. * LLM, Computer Vision, Data Engineering & Pipelines, DATA Ops

Job Characteristics: Demonstrates full use and application of data science principles, methods, theories, and concepts to assignments where precedents may exist. Demonstrates working knowledge of other related disciplines. Provides solutions to a wide range of difficult problems through design and execution of data science research. Demonstrates ability and initiative to identify and explore novel approaches to data science solutions. Makes strong contributions to the exploration, refinement and deployment of data science solutions. Education/Work Experience: Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 6-8 years related experi...

Role Overview: The Engineer will be responsible for architecting and implementing advanced quantization algorithms for edge AI applications. You will lead technical initiatives, mentor junior team members, and drive continuous improvement in model compression and optimization techniques for LLMs and other deep learning models. Key Responsibilities: Architectural Leadership: Design and develop robust quantization strategies and algorithms for AI inference on edge devices. Lead system-level design discussions and collaborate closely with hardware and research teams. Mentorship & Code Review: Mentor mid-level and junior engineers, providing technical guidance and best practices. Conduct thoroug...

Responsibilities: * Collaborate with cross-functional teams on project delivery * Optimize code performance through testing & debugging * Implement NLP models using PyTorch & LLM techniques Work from home Health insurance

Responsibilities: * Develop generative AI models using Python and AI platform. * Optimize model performance through data analysis and tuning. * Collaborate with cross-functional teams on project delivery.

Full-stack dev with .NET, C#, Python, TypeScript; build REST/GraphQL APIs; work on SQL, AWS, Azure, AI models, LLMs; apply design patterns; deploy via DevOps; AI features like GenAI, NLP, forecasting, resume parsing, candidate matching. Health insurance Provident fund

Job Summary: We are seeking an experienced Data Science Architect to lead our data-driven initiatives, design scalable architectures, and drive AI/ML strategies. The ideal candidate will have deep expertise in data science, machine learning, cloud technologies, and big data frameworks. Key Responsibilities: Design and implement scalable data science architectures to support advanced analytics, AI, and ML models. Lead the end-to-end data pipeline development, including data ingestion, transformation, feature engineering, and model deployment. Collaborate with engineering, product, and business teams to define data strategies and align them with business goals. Provide thought leadership on be...