1188 Vector Databases Jobs - Page 5

Position Overview Job Title- Lead Data Scientist-Lead Engineer, VP Location- Pune, India Role Description: The Deutsche India is seeking a talented and driven Lead Data Scientist to join our growing team. At the Service Solutions and AI Domain, our mission is to revolutionize our Private Bank process landscape by implementing holistic, front-to-back process automation. And being a Private Bank AI Centre of Excellence we are responsible for strategy building and execution of AI innovation, governance, and delivery across Private Bank, ensuring standardization, compliance, and accelerated adoption of AI solutions. We are dedicated to leveraging the power of data to drive innovation, optimize o...

As an Agentic AI Developer, you will play a crucial role in designing, building, and deploying intelligent agents capable of autonomous decision-making, tool usage, and multi-step task execution. Your passion for cutting-edge AI, coupled with your experience in working with large language models and agent frameworks, will be instrumental in driving innovation in this field. **Key Responsibilities:** - Design and implement AI agents using frameworks like LangChain, AutoGen, or OpenAI Agents SDK - Integrate agents with external tools, APIs, and databases - Develop workflows for autonomous task execution and error handling - Optimize agent performance through prompt engineering and memory manag...

As an AI Expert, your role will involve designing and implementing RAG pipelines using state-of-the-art LLMs and vector databases. You will be optimizing retrieval efficiency through hybrid search, re-ranking, embeddings fine-tuning, and metadata enrichment. Additionally, as part of your responsibilities, you will architect and deploy agentic AI platforms to enable autonomous agents to interact with tools, APIs, and enterprise data. Collaborating with engineering teams to integrate AI workflows into production applications, defining and tracking evaluation metrics for AI responses, ensuring scalability, robustness, and compliance of AI systems in real-world deployments, and staying up to dat...

Role Overview: As a GenAI Developer specializing in Python and Agentic AI, you will be responsible for developing and deploying GenAI applications using Python and modern AI frameworks. Your role will involve building and optimizing RAG pipelines, integrating LLMs, and managing vector databases. Collaboration with cross-functional teams, including data scientists, DevOps, and product managers, will be essential. Additionally, you will implement and maintain agentic AI workflows using orchestration tools while ensuring code quality, scalability, and performance of AI-driven applications. Staying updated with the latest advancements in GenAI and agentic systems will be crucial to your success....

As a Data Science Associate at Metyis, you will be responsible for executing data science projects from start to end. Your key responsibilities will include: - Understanding client business problems, defining analytical approaches, and developing actionable solutions. - Engaging directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. - Preprocessing and analyzing structured and unstructured data using statistical approaches. - Building and deploying predictive models, forecasting solutions, and recommendation systems. - Collaborating with engineering, product, and business teams to translate insights into outcomes. - Communicating results clearly...

As a Distinguished AI Engineer at Cync Software, you will be at the forefront of redefining digital lending with AI-first solutions that revolutionize commercial, consumer, and real estate lending processes. By incorporating GenAI and Agentic AI into all facets of the lending lifecycle, from automating financial statement extraction to monitoring covenants in real time, you will play a crucial role in shaping the future of banking. **Key Responsibilities:** - Build and orchestrate AI agents to streamline multi-step lending workflows with precision, compliance, and accuracy. - Design, train, and enhance LLM and ML systems for tasks such as credit memo generation, covenant monitoring, profitab...

As a Database Engineer with 1 to 3 years of experience, you will play a crucial role in designing, optimizing, and managing databases to ensure scalability, security, and high performance. Your responsibilities will involve collaborating with AI/Engineering teams to enhance storage, retrieval, and analytics pipelines, with a focus on utilizing Azure Databricks for advanced data processing and analytics. Key Responsibilities: - Design, develop, and maintain scalable database architectures using SQL & NoSQL technologies. - Optimize database queries, indexing, and performance tuning for efficiency. - Ensure data security, compliance, backup procedures, and disaster recovery plans are in place. ...

As an Associate Director / Director in the Data Analytics and AI Practice at QKS Group, your role will involve leading and driving QKS research practices across Data Management & Governance, Analytics, and AI platforms. You will be expected to come from backgrounds such as data engineering, analytics, AI platform, product management, or solution architecture. Your responsibilities will include: - **Practice Leadership:** - Own practice strategy for Data, Analytics & AI, with adjacent scope in BPM and EA. - Build market landscapes, segmentations, trend reports, and research frameworks. - Define SPARK Matrix evaluation criteria and lead vendor assessments. - **Technology Evaluation:** - Analyz...

As a skilled Python Developer with 4-6 years of experience, you will be joining our growing technology team to work on cutting-edge AI models and applications. Your main responsibilities will include designing, developing, and deploying AI solutions with a focus on large language models, text-to-image systems, and other GenAI solutions. Your strong programming expertise, problem-solving abilities, and passion for innovation in AI will be crucial for this role. **Key Responsibilities:** - Design, build, and optimize AI-driven applications using Python and modern ML/GenAI frameworks. - Develop and fine-tune large language models (LLMs) and foundation models for business use cases. - Implement ...

As an experienced Python developer with specialization in AI-driven applications, you will be responsible for developing high-performance backend solutions using FastAPI. Your expertise in working with LLMs (GPT, Llama, Claude, etc.) and AI model deployment will be crucial in this role. Additionally, your hands-on experience with LangChain for AI-driven workflows and vector databases (FAISS, Pinecone, Weaviate, ChromaDB, etc.) will be valuable assets to the team. Key Responsibilities: - Develop AI-driven applications using Python with a focus on FastAPI for backend development. - Work with LLMs and deploy AI models effectively. - Utilize LangChain for designing AI-driven workflows. - Impleme...

Role Overview: You will be the technology leader responsible for spearheading the Scale AI service offering, driving enterprise-wide AI deployment with domain agents, MLOps, and responsible governance. Your role will involve architecting and delivering comprehensive AI solutions, from vertical applications to core platform infrastructure. Key Responsibilities: - Lead and scale the entire Scale AI service offering, aiming to achieve 40-60% productivity gains for clients. - Architect and oversee the development of AI Foundry platform components, including AgentSpace.ai, Govern.ai, and AutonomousDataEng.ai. - Define and execute the strategy for vertical AI applications across diverse personas a...

As a candidate with 5+ years of experience in AI/ML, you should have a strong expertise in deep learning, including supervised, unsupervised, self-supervised, and reinforcement learning. Additionally, you should be well-versed in Large Language Models such as Transformers, self-attention, mixture of experts, and embeddings. Your key responsibilities in this role would include: - Proven experience in Retrieval Augmented Generation (RAG), vector databases, graph databases, prompt engineering, and AI agent design, orchestration, and optimization. - Hands-on experience with model fine-tuning, data pre-processing, and Python programming, with proficiency in ML frameworks like PyTorch, TensorFlow,...

Role Overview: You will be joining Bank of America as an AI/ML Platform Engineer, responsible for architecting and building a modern, scalable, and secure Data Science and Analytical Platform. Your role will involve driving end-to-end model lifecycle management, establishing platform governance, and creating foundational infrastructure for developing, deploying, and managing Machine Learning models across on-premise and hybrid cloud environments. Key Responsibilities: - Lead the architecture and design of scalable, resilient, and secure distributed applications, ensuring compliance with organizational technology guidelines and industry best practices. - Contribute to hands-on coding, buildin...

Role Overview: As an AI Decision Science Consultant, you will be responsible for leading the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. Leveraging cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations, you will create intelligent systems capable of reasoning, planning, and acting independently to address complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Key Re...

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, ...

As an AI/ML Developer with 6-8 years of experience, your focus will be on Generative AI and Prompt Engineering. Your programming proficiency should include Python as the primary language, with additional knowledge in JavaScript, SQL, and NodeJS being beneficial. You should have a strong understanding of AI/ML frameworks such as TensorFlow, PyTorch, and Transformers, with expertise in Generative AI models like LLMs. Your responsibilities will include: - Designing and implementing efficient prompts for Generative AI - Improving model performance, Guardrails, RAG, and Prompting attacks evasion - Integrating AI models with APIs and application servers like Flask, Django, FastAPI - Managing AI mo...

As a Data Scientist and LLM Operations Specialist, your role will involve utilizing your expertise in data science to manage structured and unstructured data effectively. Below are the key responsibilities for this position: - Proven experience in data science, with a strong background in statistical techniques, predictive analytics, and the ability to effectively report results. - Experience in applied science in fields such as Natural Language Processing (NLP), Machine Learning (ML), Deep Learning (DL), or Multimodal Analysis. - Proficiency in software development, data modeling, and data engineering, with a deep understanding of building and scaling ML models, specifically LLMs. - Familia...

You have a minimum of 5+ years of experience in developing scalable and reliable generative AI solutions. Your responsibilities will include: - Scope, develop, expand, operate, and maintain scalable, reliable, and safe generative AI solutions. - Design and execute prompt engineering experiments to optimize Large Language Models (LLMs) for various use cases. - Collaborate with Subject Matter Experts (SMEs) to evaluate prompt effectiveness and align AI solutions with business needs. - Understand and apply offline and online evaluation metrics for LLMs, ensuring continuous model improvements. - Evaluate production models using live data in the absence of ground metrics, implementing robust moni...

As a Senior Data Scientist, you will bring expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to the team. Your primary responsibility will be to design, develop, and deploy advanced AI/ML models for data-driven decision-making processes. Strong analytical skills, proficiency in AI/ML technologies, and hands-on experience with cloud-based solutions are essential. - Design and develop ML, NLP, and GenAI models to address complex business challenges - Build, train, and optimize AI models using Python and various ML frameworks - Implement Azure AI/ML services for scalable deployment - Develop and integrate APIs for real...

As a Technical Architect, your role will involve leading the design and development of scalable, enterprise-grade applications and AI/ML solutions. You will be required to collaborate with business and technical stakeholders to translate requirements into maintainable architectures. Your responsibilities will include providing technical leadership, conducting code reviews, and participating in technical discussions with client teams. Moreover, you will oversee the integration of AI/ML components, evaluate emerging technologies, and work closely with DevOps and QA teams. Key Responsibilities: - Lead the architectural design and development of enterprise-level applications and AI/ML solutions....

Job Description: As a GenAI Solutions Architect, you will partner closely with the sales team to design and implement custom GenAI solutions that meet client requirements. Your primary responsibilities will include: - Architecting custom GenAI solutions using RAG (Retrieval-Augmented Generation) architectures - Implementing AI workflows with Large Language Models (LLMs) to address complex business challenges - Translating technical capabilities into compelling client presentations and proposals - Guiding end-to-end solution development from concept to deployment Qualifications Required: To be successful in this role, you should possess the following qualifications: - Deep expertise in GenAI ...

You will be involved in building an AI-powered Knowledge Search Platform for the Chemical & Pharmaceutical industry using RAG (Retrieval-Augmented Generation), Large Language Models (LLMs), and Vector Databases. Your role will require you to design intelligent query systems capable of understanding natural language and retrieving accurate results from complex industry datasets consisting of 150+ product and company tables. Key Responsibilities: - Design and develop RAG-based AI Search System using Python, Vector Databases, and LLMs. - Build data pipelines to ingest, clean & unify complex datasets (CSV, SQL, APIs) across industries like API, FDF, Nutraceuticals, Excipients, etc. - Implement S...

As a Data Architect with Generative AI expertise, your role involves designing and implementing robust data architectures to support AI and machine learning workloads, specifically Generative AI applications. Your key responsibilities include: - Developing and optimizing data pipelines for training, validating, and deploying AI models efficiently and securely. - Integrating AI frameworks into data platforms to ensure scalability, low latency, and high throughput. - Collaborating with data scientists, AI engineers, and stakeholders to align data strategies with business goals. - Leading initiatives to ensure data governance, security, and compliance standards (e.g., GDPR, CCPA) are met in AI-...

As a Data Scientist Engineer, you will be utilizing your passion for Data Science to create beautiful images and compelling content, collaborating with other technical staff to deliver and maintain fully-functional software implementations. Your role will involve the following key responsibilities: - Design, develop, and deploy enterprise-grade AI solutions with a strong focus on Large Language Models (LLMs). - Possess 4+ years of overall experience in AI/ML, with at least 3 years dedicated to Generative AI. - Demonstrate hands-on expertise in open-source LLMs such as Mistral, Qwen, and LLaMA. - Proven experience in fine-tuning techniques including LoRA, PEFT, and adapters for LLMs. - Skille...

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities,?collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow.?Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases ...