120 Vector Dbs Jobs

Must-Have Skills Expert in CV, NLP, speech models, and multimodal transformer models Strong understanding of GPU optimization, distributed training (DeepSpeed, Horovod) Experience with real-time/near-real-time video processing Hands-on with: MLflow, Ray, Airflow KServe, Triton Inference Server Vector DBs, RAG, LangChain Good-to-Have Skills Experience with broadcast/OTT platforms, MAM systems, and DAM workflows Experience with generative imaging (Stable Diffusion) or video generatio

Role Overview: You will be joining Veya Technologies Pvt Ltd as an AI Prototyping Engineer. Your primary responsibility will be to develop conversational and voice-based AI prototypes using tools such as GPT, LangChain, Whisper, and vector databases. Working closely with the founders, you will be involved in building MVPs, evaluating tools, and creating technical demos. Key Responsibilities: - Develop prototypes including Therapy Bot, Voice Coach, Interviewer Bot, Legal Advice Bot, and HR Bot. - Integrate GPT APIs, LangChain, embeddings, Whisper, and vector DBs into the prototypes. - Assess the benefits of building tools in-house versus purchasing them for efficiency. - Document proof of con...

As a leader for Merke's Data & GenAI practice focused on front-end functions of sales, marketing, and growth, your role will involve defining the strategy, hiring and leading a multi-disciplinary team, building accelerators/IP, shaping solutions and POCs, driving GTM with partners, and ensuring production-grade delivery for enterprise clients. **Key Responsibilities:** - Define the practice vision, service catalog, and roadmap for LLM apps/copilots/agents, RAG over marketing & sales knowledge, decisioning/propensity, recommendations, experimentation & uplift modeling, identity & consent-aware activation. - Lead discovery and solution design with commercial guardrails (CAC/LTV, conversion, AO...

As an AI Prototyping Engineer at Veya Technologies Pvt Ltd, you will be responsible for building conversational and voice-based AI prototypes using GPT, LangChain, Whisper, and vector databases. Your role will involve closely working with the founders to develop MVPs, evaluating tools, and documenting technical demos. Key Responsibilities: - Develop prototypes such as Therapy Bot, Voice Coach, Interviewer Bot, Legal Advice Bot, and HR Bot. - Integrate GPT APIs, LangChain, embeddings, Whisper, and vector DBs. - Evaluate build vs. buy tools for efficiency. - Document PoCs, maintain Git, and collaborate on MVPs. Required Skills: - Strong Python programming skills. - Hands-on experience with GPT...

Location: Bangalore, Noida, Pune, Hyderabad, Chennai, Bhubaneswar, Madurai. Must-Have Skills Expert in CV, NLP, speech models, and multimodal transformer models Strong understanding of GPU optimization, distributed training (DeepSpeed, Horovod) Experience with real-time/near-real-time video processing Hands-on with: MLflow, Ray, Airflow KServe, Triton Inference Server Vector DBs, RAG, LangChain Good-to-Have Skills Experience with broadcast/OTT platforms, MAM systems, and DAM workflows Experience with generative imaging (Stable Diffusion) or video generatio

Responsibilities Architect, develop, and maintain AI-powered applications using full stack technologies (Node.js, Python/Django, Flask, etc.) and modern frontend frameworks (React, Angular, Vue.js, etc.). Design, implement, and integrate AI and ML workflows with OpenAI APIs, Gemini APIs, Tensorflow, HuggingFace, PyTorch, and Langchain. Build and manage databases (Vector DBs, MongoDB, PostgreSQL, Firebase, etc.) for flexible, high-availability, and scalable data storage. Train, fine-tune, and validate open-source models, and deploy them at scale using best practices in MLOps and DevOps. Create and optimize RAG (Retrieval-Augmented Generation) pipelines and develop robust NER (Named Entity Rec...

Role Overview: As a senior Data Engineer with 8+ years of experience, you will be responsible for building scalable data pipelines, integrating LLM/GenAI components, and supporting analytics workloads on Azure. Your expertise in Python and hands-on experience in Azure data services will be crucial for this role. Key Responsibilities: - Utilize Python for advanced data engineering tasks - Work with Azure Data Factory, Data Lake, Databricks/Spark, and Synapse - Perform SQL queries and data modeling - Implement GenAI/LLM workflows including RAG, embeddings, vector DBs, LangChain/Semantic Kernel Qualifications Required: - Strong expertise in Python - Hands-on experience with Azure Data Factory, ...

As an AI/ML & Generative AI Architect / Engineering Leader at this company, you will play a crucial role in architecting, designing, and implementing enterprise-grade AI platforms. Your deep expertise in LLMs, RAG, Agentic AI, and Azure AI Services will be combined with your leadership skills to drive the AI-first transformation journey for large enterprises. Key Responsibilities: - Architect and implement AI/ML and Generative AI platforms for large-scale enterprise adoption. - Develop RAG pipelines, Agentic AI workflows, and LLMOps frameworks using LangChain, LangGraph, and Hugging Face. - Integrate solutions with Core Banking, ERP, H2H, and API platforms ensuring scalability, security, and...

About Us HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network ...

As a skilled and passionate Python + Generative AI Trainer, your role will involve delivering high-impact training programs for corporate professionals. You will be responsible for designing and conducting hands-on workshops, bootcamps, and extended training programs focused on Python programming, AI/ML fundamentals, and Generative AI applications such as LLMs, RAG, prompt engineering, fine-tuning, and deployment. Your technical expertise and training/mentoring experience will be crucial in simplifying complex AI concepts into engaging, real-world learning experiences. Key Responsibilities: - Deliver corporate training sessions (on-site/virtual) covering Python, AI/ML fundamentals, and Gener...

As a Solution Design & Backbone Engineering professional, you will be responsible for owning end-to-end GenAI pipelines for CSR automation. This includes tasks such as ingestion, preprocessing/OCR, semantic chunking, embeddings/vector store, RAG/agents, evaluation, and observability. Your role will involve engineering agentic workflows using tools like LangGraph, AutoGen, CrewAI, and Agno to orchestrate multi-step reasoning, tool use, and human checkpoints. It will also be crucial to modularize codebases to support pluggable models, prompts, retrievers, and knowledge graphs across content creation, summarization, and Q&A. Your responsibilities will also include connecting to Databricks for d...

Role Overview: You will be joining the ML Solutions team within Markets OPS Technology, which is focused on developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. As a Data Scientist/Machine Learning Engineer, your primary responsibility will be to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. You will play a crucial role in guiding a team from initial concept to successful production, mentoring team members, collaborating with business partners, and ensuring adherence to regulatory requirements through cutting-edge technical solutions. Key Responsibilities: - **Hands-On Execution and Delivery:** Actively contri...

Job Description Core Skills Strong Python and/or Java development, including API integration and async workflows Practical experience with LLM APIs (Azure OpenAI, Bedrock, Anthropic, etc.) Ability to build conversational workflows, document-processing flows, and agent-style automations Comfortable with vector DBs, RAG patterns, prompt design, and prompt evaluation Basic ML concepts ability to evaluate outputs, tune prompts, and implement QA feedback loops Experience with CI/CD and cloud services Qualifications Experience 2-5 years engineering experience, at least 1 year hands-on with LLMs Delivered working AI features or automations, ideally in enterprise process environments Experience usin...

Build and deploy ML/LLM systems on Azure, design RAG and multi-agent workflows, integrate models with Azure data pipelines, optimize model performance, implement MLOps, and ensure Azure-based governance and compliance. Required Candidate profile Azure-focused ML engineer with strong LLM, RAG, Databricks, and DevOps skills. Able to design scalable ML systems, integrate Azure data services, and deliver enterprise AI solutions end-to-end.

Role & responsibilities Position name- ML Engineer Exp- 8+ years Hyderabad Only Send Cv on komal@contactxindia.com , call on 9987334349 JD- Key Responsibilities: ML Engineer (MLE) 11-14 years of experience in data engineering and ML engineering 7-8 years as a data engineer before transitioning to ML engineering roles, feature engineering, feature stores Experience with SQL, NoSQL, graph databases, Oracle/Snowflake/Cloudera, Vector DBs, RAG architecture, prompt tuning Experience with at least one cloud platform. Strongly preferred: AWS, Sagemaker, Bedrock, AWS Glue, EMR, Lambda, IAM, Athena, Redshift, Kakfa Experience creating, monitoring and fixing model pipelines/data pipelines for data at ...

You will be part of a Mega Walk-In Drive for Data Science, GenAI, and MLOps roles in Kolkata. The event is scheduled for Saturday, 15th November starting at 9:30 AM. You can contact Purbita Mondal at purbita.mondal@ltilmindtree.com for further details. **Role Overview:** - Data Scientists with Gen AI: - Mandatory Skills: - Data Science, GenAI, Python, RAG - Cloud: Azure / AWS / GCP - AI/ML, NLP - Preferred Skills: - LangChain, ChatGPT, Prompt Engineering - Vector Stores, LLaMA, PaLM, BERT, GPT, BLOOM - Deep Learning, OCR, Transformers - Regression, Forecasting, Classification - MLOps, Model Training, Deployment, Inference - Tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes - Ideal Candida...

Role Overview: Are you a skilled Data Science Engineer with a deep understanding of AI & ML technologies LatentBridge is seeking a talented Data Science(AI/ML) Engineer to join our team. As a Data Science Engineer, you will be responsible for managing and building projects related to cutting-edge AI capabilities for document processing while ensuring data privacy and compliance. If you have experience with Large Language Models, Vector DBs, and proficiency in Python, we want to hear from you! Key Responsibilities: - Process documents, including regulatory policies, using AI in multiple languages while ensuring data privacy and compliance. - Manage and build data science projects leveraging A...

Job Title: Jr. AI ML Engineer Company: LatentBridge Location: Bhopal | Pune | Bangalore Experience: 3yrs-6yrs Job Description: Are you a skilled Data Science Engineer with a deep understanding of AI & ML technologies LatentBridge is seeking a talented Data Science(AI/ML) Engineer to join our team. As a Data Science Engineer, you will be responsible for managing and building projects related to cutting-edge AI capabilities for document processing while ensuring data privacy and compliance. If you have experience with Large Language Models, Vector DBs, and proficiency in Python, we want to hear from you! Key Requirements: Deep understanding of AI & ML technologies. Experience managing and buil...

About Us: NoBroker.com is the world's largest brokerage-free real estate marketplace, dedicated to transforming the real estate experience with cutting-edge products. Founded by IIT Bombay, IIT Kanpur, and IIM Ahmedabad alumni in 2014, We've raised $366M from prominent investors like General Atlantic, Tiger Global, and Saif Partners. Our comprehensive real estate ecosystem includes NoBrokerHood for community management, NoBroker HomeServices for property management, and a range of services like Legal Services, Rental Agreements, Packers & Movers, HomeLoans, Rent Payments, and more. ConvoZen.AI: We are also proud to offer ConvoZen.AI, our state-of-the-art conversational AI tool. ConvoZen.AI l...

Role Summary The Director of AI Platform & MLOps is a critical, hands-on technology leader responsible for the architecture, execution, and day-to-day management of the infrastructure powering our AI Training Data Services. You will lead a world-class team of engineers to build, scale, and operate a robust, secure, and highly automated platform. This role requires a deep technical background in cloud infrastructure, MLOps, and large-scale systems, combined with proven experience in leading high-performing engineering teams. Responsibilities Technical Execution & Architecture: Translate the long-term vision into an executable technical roadmap, making key architectural decisions for the platf...

Position Overview We are seeking a skilled and passionate Python + Generative AI Trainer to deliver high-impact training programs for corporate professionals. The trainer will design and conduct hands-on workshops, bootcamps, and extended training programs focused on Python programming, AI/ML fundamentals, and Generative AI applications (LLMs, RAG, prompt engineering, fine-tuning, deployment). The ideal candidate will have both technical expertise and training/mentoring experience, with the ability to simplify complex AI concepts into engaging, real-world learning experiences. Key Responsibilities Deliver corporate training sessions (on-site/virtual) covering Python, AI/ML fundamentals, and ...

ML Engineer Agentic AI Responsibilities Design and implement multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen or similar frameworks. Build A2A (agent-to-agent) orchestration and implement MCP (multi-context protocol) for context reuse and collaboration. Fine-tune foundation models (LoRA, RLHF, DPO) and integrate retrieval-augmented generation (RAG) pipelines. Develop APIs and backend services (FastAPI/Flask/Node.js) and integrate with enterprise systems (HRIS, CRM, ERP). Build secure data pipelines (ETL, embeddings, vector DB ingestion) and ensure governance, bias mitigation, and lineage. Containerize, deploy, and monitor agents (Docker, Kubernetes, CI/CD pipelines) with obser...

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll do: As a Machine Learning Engineer, you'll be a technical leader helping architect, scale, and harden SAP's next generation of generative AI services. You'll drive both design and impleme...

As the Copilot Solutions Engineer, you will be responsible for steering the entire process of Copilot solutions deployment across Microsoft 365 and Power Platform. Your role will involve crafting secure RAG architectures using Azure AI Foundry, connecting enterprise data sources such as SharePoint, OneDrive, Dataverse, and SQL, and launching Copilots that drive tangible business KPIs. Throughout these tasks, you will prioritize governance, telemetry, and Responsible AI integration. **Key Responsibilities:** - **Solutioning:** Translate business workflows into Copilot scenarios, design prompt flows, grounding, function calling, and evaluation loops. - **Build:** Develop Copilots utilizing Cop...

Role Overview: You will be leading the roadmap for Generative AI (GenAI) solutions across product and platform teams. Your responsibilities will include architecting and optimizing RAG pipelines, establishing evaluation frameworks, leading research and applied innovation, mentoring senior scientists/engineers, and partnering with Product, Engineering, and Business stakeholders to deliver AI systems with measurable business impact. Key Responsibilities: - Lead the roadmap for Generative AI (GenAI) solutions - Architect and optimize RAG pipelines - Establish evaluation frameworks to measure LLM outputs - Lead research and applied innovation around foundation model fine-tuning - Mentor senior s...