701 Vector Databases Jobs - Page 16

Role Overview: You will be leading a high-impact engineering team in Abu Dhabi for a fast-scaling AI infrastructure startup. As the Technical Team Lead, you will have the opportunity to shape the technical culture, build a local team from scratch, and drive projects that involve LLMs, AI agents, and Retrieval-Augmented Generation (RAG) systems used globally. Key Responsibilities: - Build, mentor, and lead a growing engineering team in Abu Dhabi consisting of 3-10 members - Take ownership of delivering high-impact technical initiatives related to AI infrastructure, backend systems, and developer tooling - Serve as the technical liaison between the teams in Abu Dhabi, Tel Aviv, and NYC to ensu...

As a Power Automate & GenAI Specialist at our Pune location, you will be responsible for executing and maintaining Power Automate (Cloud + Desktop) flows, supporting GenAI service integration into business processes, and building and integrating backend services using FastAPI. Your role will be aligned to Mid-Level, Senior-Level, or Lead-Level based on your skills and experience. Key Responsibilities: - For Mid-Level (3-5 years): - Execute and maintain Power Automate (Cloud + Desktop) flows - Support GenAI service integration into business processes - Build and integrate backend services using FastAPI - For Senior-Level (6-9 years): - Design and implement end-to-end Power Automate workflows ...

As a Manager - AI/GenAI at EY, you will have the opportunity to work in a multi-disciplinary technology team focusing on Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI across various industry sectors. Your role will involve developing and delivering industry-specific solutions using Artificial Intelligence, Machine Learning, deep learning, and LLM models for Generative AI, text analytics, and Python Programming. **Key Responsibilities:** - Develop, review, and implement solutions utilizing AI, Machine Learning, Deep Learning, and Python APIs. - Lead the development and implementation of Generative AI applications using open source ...

Role Overview: We are seeking an experienced Senior Data Scientist to lead data-driven initiatives, perform advanced exploratory data analysis, and build & deploy scalable machine learning models. The ideal candidate will have strong expertise in Python, generative AI (GenAI), and machine learning deployment frameworks, with a good understanding of the life sciences domain. Key Responsibilities: 8 to 10 years of experience in leading design and development of advanced ML and Generative AI models. Drive end-to-end data science projects from data preparation to deployment. Apply LLMs, transformers, and other GenAI techniques to business problems. Guide and mentor junior data scientists in tech...

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...

As an AI Architect at NiCE, you will play a crucial role in building scalable AI systems and infrastructure to handle large datasets, ensuring performance, reliability, and maintainability. You will lead the development of secure and compliant data and machine learning pipelines, aligning with data governance and regulatory standards. Moreover, you will design, develop, and implement AI models and algorithms to solve real-world business problems while mentoring team members on AI technologies, best practices, and system architecture. Key Responsibilities: - Build scalable AI systems and infrastructure capable of handling large datasets with a focus on performance, reliability, and maintainab...

As a Generative AI Expert at Cogniter Technologies, you will be a valuable member of our advanced AI/ML team. Your role will involve designing and delivering scalable AI applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and vector databases. Key Responsibilities: - Develop intelligent applications using models such as GPT-4, LLaMA, Mistral, Falcon. - Architect and implement RAG pipelines for knowledge-driven AI systems. - Build AI agents with frameworks like LangChain. - Integrate vector databases (FAISS, Pinecone, Weaviate) for semantic search. - Deploy and manage real-time inference engines (e.g., Groq). - Optimize LLM performance, token...

As a Machine Learning Engineer at HID, you will play a crucial role in the success of the company by: - Designing and implementing machine learning pipelines and models, including LLM-based solutions - Translating prototypes and research into production-grade code and deployable components - Developing and fine-tuning foundation models and LLMs for specific use cases - Training and optimizing numeric machine-learning models - Applying prompt engineering and building agent-based architectures for complex task automation - Integrating models into backend systems and supporting real-time/batch inference services - Working with guardrails and observability tools to ensure safe and robust use of ...

Role: Gen AI Engineer (back-end software development role with a specialization in ML/DL and Generative AI) Company - Supply Chain Management Consulting firm Experience: Candidates must have 5+ years in ML/DL, with a minimum of 2 years specifically in Generative AI solution development. Location: Bangalore (Innovator - ITPL, The HIVE - Mahadevapura, Helios - Kadubeesanahalli) Work Mode: Hybrid - 5 days a week Budget: A maximum of a 30% hike on the candidate's current fixed CTC. Counteroffers will not be provided. Looking for immediate joiners. We are hiring for Gen AI Engineer/Hybrid/Bangalore. We need Python, PyTorch, TensorFlow, LLM, Docker (Mandatory) & IMMEDIATE joiners Gen AI Engineer -...

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 Data Science and AI / ML professional at LTIMindtree, you will play a crucial role in leveraging digital technologies to drive innovation and growth for our clients. With over 6 years of experience in the field, you will be expected to have a deep understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Your expertise in data frameworks like Hadoop, business intelligence tools like Tableau, and Cloud native skills will be essential in delivering superior business outcomes. Key Responsibilities: - Utilize your knowledge of SQL and Python, with familiarity in Scala, Java, or C++ as an asset, to develop innovative A...

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 Database Engineer with 1 to 3 years of experience, your role will involve designing, optimizing, and managing databases to support AI-driven applications. You will work closely with AI/Engineering teams to ensure the scalability, security, and performance of databases while maintaining data integrity. Key Responsibilities: - Design, develop, and maintain scalable database architectures using SQL & NoSQL technologies. - Optimize database queries, indexing, and performance tuning for efficient operations. - Ensure data security, compliance, backup, and disaster recovery procedures are in place. - Build and manage ETL pipelines to support AI/ML and analytics workflows. - Collaborate with A...

As a skilled Technical Lead, you will be responsible for leading the end-to-end design and delivery of an AI-powered solution that combines NLP, anomaly detection, GenAI/RAG, and rule engines on a Cloud platform. Your role will involve owning the architecture, technical roadmap, and production reliability while guiding a cross-functional team comprising ML, Data Eng, Backend, DevOps, and QA professionals. Key Responsibilities: - Define the reference architecture including ingestion, lakehouse, features/vectors, models, and APIs/UX; make build/buy decisions - Select, train, and operationalize NLP, anomaly/fraud models, and GenAI/RAG components; establish human-in-the-loop - Implement experime...

Role Overview: You will be joining the Developer Enablement team within the CTO organization with a focus on revolutionizing how policies, standards, and controls are managed through an "everything-as-code" initiative. Your main responsibility will be to design, develop, and test software applications using Large Language Models and AI capabilities, ensuring high-quality software with exceptional user experiences. Key Responsibilities: - Design, develop, and test software applications leveraging Large Language Models and AI capabilities - Collaborate closely with team members to deliver software on time and within budget - Set standards for excellence in software development and user experie...

Inviting applications for the role of Senior Principal Consultant - ML Engineers! In this role, lead the automation and orchestration of our machine learning infrastructure and CI/CD pipelines on public cloud (preferably AWS). This role is essential for enabling scalable, secure, and reproducible deployments of both classical AI/ML models and Generative AI solutions in production environments. Responsibilities . Develop and maintain CI/CD pipelines for AI/GenAI models on AWS using GitHub Actions and CodePipeline. (Not Limited to) . Automate infrastructure provisioning using IAC. (Terraform, Bicep Etc) . Any cloud platform- Azure or AWS . Package and deploy AI/GenAI models on (SageMaker, Lamb...

Role Overview: You will have the opportunity to lead a high-impact engineering team based in Abu Dhabi for a fast-scaling AI infrastructure startup. As the Technical Team Lead, you will play a crucial role in shaping the technical culture, building the local team, and driving projects that support LLMs, AI agents, and Retrieval-Augmented Generation (RAG) systems used globally. Key Responsibilities: - Build, mentor, and lead a growing engineering team of 3-10 members in Abu Dhabi - Take ownership of delivering high-impact technical initiatives related to AI infrastructure, backend systems, and developer tooling - Serve as the technical bridge between Abu Dhabi, Tel Aviv, and NYC teams to ensu...

As an experienced AI Architect, your role will involve leading the design, development, and deployment of large-scale AI solutions. You will be responsible for bridging the gap between business requirements and technical implementation, with a focus on generative AI and modern MLOps practices. Key Responsibilities: - Architect end-to-end AI systems utilizing large language models and generative AI technologies - Design scalable, production-ready AI applications that align with business objectives and performance requirements - Evaluate and integrate LLM APIs from leading providers such as OpenAI, Anthropic Claude, and Google Gemini - Establish best practices for prompt engineering, model sel...

As a Data Scientist specializing in Generative AI, you will be responsible for the following: - Utilizing your 3+ years of experience in Data Science to work on generative AI, agentic AI, LLMs, and NLP. - Demonstrating hands-on expertise with RAG pipelines, knowledge graphs, and prompt engineering. - Applying your skills in Azure AI tools such as Azure OpenAI, Cognitive Services, and Azure ML. - Leveraging your experience with LangChain, Agentic AI frameworks, and orchestration tools. - Proficiency in utilizing Hugging Face for model building and fine-tuning. - Demonstrating strong Python development skills specifically tailored for AI applications. - Working with vector databases, embedding...

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments...

Role Overview: You are a seasoned Data Science Engineer responsible for spearheading the development of intelligent, autonomous AI systems. Your role involves designing and deploying AI solutions that leverage Retrieval-Augmented Generation (RAG), multi-agent frameworks, and hybrid search techniques to enhance enterprise applications. Key Responsibilities: - Design & Develop Agentic AI Applications: Utilise frameworks like LangChain, CrewAI, and AutoGen to build autonomous agents capable of complex task execution. - Implement RAG Pipelines: Integrate LLMs with vector databases (e.g., Milvus, FAISS) and knowledge graphs (e.g., Neo4j) to create dynamic, context-aware retrieval systems. - Fine-...

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to hel...

About Us At InzpireU, we are on a mission to amplify human potential through AI-powered mentorship, learning, and accountability. We believe AI should serve as an enabler of growthnot a replacement for people. As an AI Intern, you will be part of a passionate team building next-gen solutions that combine AI, data, and human guidance to transform how individuals and organizations learn, grow, and succeed. Role Overview We are seeking a motivated AI Intern who is eager to gain hands-on experience in applied AI, product development, and data-driven solutions. You will support the design, development, and testing of AI features across mentorship, learning personalization, and outcome tracking. T...

Job Title: AI/ML Engineer (with Python & LLM Ops focus) Location: [Pan India-Remote] Experience: 24 years Core Responsibilities Develop and optimize data pipelines using Python, Pandas, and Scikit-learn . Support prompt engineering initiatives for LLM-based applications. Conduct model evaluation and testing , ensuring accuracy, reliability, and performance. Work with Vector Databases (e.g., Pinecone, FAISS) for embedding storage and retrieval. Secondary Responsibilities Assist in fine-tuning small and domain-specific models for production use. Write automation scripts for data preparation, cleaning, and feature engineering. Collaborate with product and engineering teams to enable API integra...

As a Technology Engineer, you will be utilizing your expertise in Microsoft SQL Server (MSSQL) and hands-on experience with Vector Databases to design, implement, and optimize database solutions for high-performance, large-scale applications. Your key responsibilities will include designing and maintaining MSSQL databases for high availability, performance, and security, developing complex queries and stored procedures, implementing backup and recovery strategies, and working with Vector Databases to support AI/ML and semantic search use cases. Additionally, you will optimize data pipelines, collaborate with application development teams, monitor database performance, and ensure compliance w...