138 Vector Database Jobs

Hiring Machine Learning Engineers (3–6 yrs) – AWS SageMaker, Bedrock, RAG, LLMs, Python, MLOps

We are seeking a highly skilled AI/ML Engineer specializing in Generative AI (GenAI) to design, build, and deploy intelligent systems powered by advanced machine learning and deep learning models. The ideal candidate will have experience in large language models (LLMs) , transformers , and multimodal AI , and be passionate about applying cutting-edge research to solve real-world business problems. You will work closely with data scientists, software engineers, and product teams to develop scalable AI solutions using frameworks such as PyTorch , TensorFlow , and Hugging Face Transformers . Key responsibilities: Design, develop, and deploy AI/ML models for natural language processing (NLP), co...

Seeking GENAI Engineer (2+ yrs exp). Must have hands-on LLMs, GenerativeAI, RAG expertise. Remote role. Python, PyTorch, cloud platforms required.Office Solution global consulting firm with $3B client value. Design AI models, implement RAG pipelines.

Hiring an AWS Data Engineer for a 6-month hybrid contractual role based in Bellandur, Bengaluru. The ideal candidate will have 4-6 years of experience in data engineering, with strong expertise in AWS services (S3, EC2, RDS, Lambda, EKS), PostgreSQL, Redis, Apache Iceberg, and Graph/Vector Databases. Proficiency in Python or Golang is essential. Responsibilities include designing and optimizing data pipelines on AWS, managing structured and in-memory data, implementing advanced analytics with vector/graph databases, and collaborating with cross-functional teams. Prior experience with CI/CD and containerization (Docker/Kubernetes) is a plus.

Job description This role is responsible for managing the client expectations. Strategize with various stakeholders to meet customer requirements. KEY RESPONSIBILITIES Data Science: Develop machine learning models to support recommendation systems and NLP projects; provide actionable insights for product and service optimization. Data Engineering: Build and maintain scalable ETL pipelines, optimize data storage solutions (data lakes, columnar formats), and ensure data accuracy for analytics. Data Analysis and Insight Generation: Skilled in analyzing complex datasets to uncover trends and patterns; generate and present insights that drive strategic decisions and enhance client services. Stake...

• Experience working with LLMs (Large Language Models) and fine-tuning transformer-based models • Familiarity with vector databases (e.g., FAISS, Pinecone) and embedding models. • Exposure to GenAI, RAG architecture, and prompt engineering

Key Responsibilities: Develop, fine-tune, and deploy Generative AI models using frameworks such as LangChain , OpenAI , or Hugging Face . Build Python-based applications and APIs to integrate AI models into business solutions. Work with LLMs (Large Language Models) for NLP, text generation, summarization, and conversational AI use cases. Design and maintain data pipelines for training and inference. Collaborate with data science and engineering teams to optimize performance and scalability. Research and implement new GenAI techniques and frameworks to enhance model efficiency. Required Skills: Strong proficiency in Python (Flask / FastAPI / Django). Hands-on experience with Generative AI / L...

Exp: 4+ years Immediate to 15 days joiners are preferred Requirements & Qualifications: Strong programming skills in languages such as Python, R, or Java. Familiarity with machine learning libraries/frameworks like TensorFlow, PyTorch, or scikit-learn is advantageous. Understanding of fundamental statistical concepts and techniques used in machine learning, such as probability theory, hypothesis testing, and regression analysis. Ability to work with diverse datasets, perform data preprocessing tasks, and extract actionable insights using tools like Pandas, NumPy, or SQL. Experience in code versioning using Git, maintaining modularized code base for multiple deployments. Experience in working...

Role & responsibilities DevOps/Infrastructure Engineer with Python Background Core Technical Skills (Required) Python Development (3+ years): Solid foundation for system integration DevOps & Infrastructure (4+ years): Docker containerization and Docker Compose CI/CD pipeline design and implementation Cloud deployment (AWS/Azure/GCP) Monitoring and logging systems Database & Storage: Vector databases (ChromaDB, Pinecone, FAISS) File system optimization and caching Data persistence and backup strategies System Administration: Linux/Windows server management Network configuration and security Performance monitoring and optimization Specialized Skills Container Orchestration: Kubernetes for ente...

As a Data Scientist specializing in Gen AI, your role will involve collaborating with business stakeholders and SMEs to gain a deep understanding of the business context and key questions. Your major duties and responsibilities will include: - Creating Proof of Concepts (POCs) and Minimum Viable Products (MVPs) and guiding them through production deployment - Influencing machine learning strategy for Digital programs and projects - Making solution recommendations that balance speed to market and analytical soundness - Developing analytical and modeling solutions using tools like Python, R, and TensorFlow - Formulating model-based solutions by combining machine learning algorithms with other ...

Role Overview: You will work closely with business stakeholders and cross-functional subject matter experts to gain a deep understanding of the business context and key questions. Your main responsibilities will include creating Proof of Concepts (POCs) and Minimum Viable Products (MVPs), guiding them through production deployment, and operationalization of projects. Additionally, you will influence machine learning strategy for Digital programs and projects, make solution recommendations balancing speed to market and analytical soundness, explore design options, and develop analytical solutions using various tools such as Python, R, and TensorFlow. Furthermore, you will formulate model-base...

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...

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...

Design and develop scalable backend services in Python (FastAPI/Django/Flask), integrate ML models for recommendations, build low-latency APIs, work with vector DBs, deploy on AWS, and ensure CI/CD, performance optimization, and system reliability. Required Candidate profile Experienced backend engineer skilled in distributed systems, API development, ML integration, AWS, Docker, Kubernetes, Terraform, and SQL/NoSQL databases. Strong communicator and team player. Perks and benefits - Leading IT Company - Good work culture

Job Description: Location: Bangalore Experience Level: 3 to 5 years Employment Type: Full-time About the Role We are seeking a highly motivated AI/ML Engineer with strong expertise in Generative AI, LLMs, and Agentic AI to join our growing team. You will be responsible for developing, deploying, and optimizing AI-driven solutions, with a focus on LLMs, RAG architectures, and multi-agent systems . This role offers an opportunity to work on cutting-edge AI projects that push the boundaries of automation and intelligent systems. Key Responsibilities Design, build, and deploy AI/ML solutions with a focus on Generative AI (LLMs, RAG) and Agentic AI architectures . Implement vector-based semantic ...

Role & responsibilities Skills Proficiency Level (1 - 10) EXP in Months Technical Skills (Tools, Languages, Competencies) Data processing ML Ops apache spark Monitoring/Alerting ML Ops High (Prometheus, Grafana) Training Infrastructure ML Ops GPU Training/AWS/Azure Data Bases ML Ops Vector Databases Programming/ Scripting Language ML Ops Python ML Ops Pyspark

Job Description Goldman Sachs is seeking a strong developer to be an integral part of the GenAI Semantic Search team. The GenAI Semantic Search team builds highly scalable, performant and distributed semantic search engine while employing current NLP techniques and algorithms and evaluating various LLMs. The search engine is used to feed into RAG and AI-enabled applications. Required Qualifications Backend java developer with experience writing multi-threaded, concurrent, scalable, and distributed applications. Must be update on current and opensource stack - Kafka, ElasticSearch, gRPC, MongoDb, Hazelcast, Vertx, Experience with writing microservices and distributed applications Knowledge of...

AI/ML/NLP Architect Job Summary Were looking for an experienced AI/ML/NLP Architect to design and lead the architecture of our Autonomous ERP Agents platform. The ideal candidate will build scalable, production-ready AI systems integrating ML , NLP , and advanced AI for autonomous ERP decision-making. This is a hands-on leadership role requiring technical depth, innovation, and cross-functional collaboration. Key Responsibilities Architect Core Platform: Design scalable, modular AI/ML/NLP architecture integrating with ERP systems (SAP, Oracle, Microsoft Dynamics). Lead Model Development: Oversee ML model design for analytics, anomaly detection, and optimization; implement NLP for intelligent...

Please find the Job Description for AI/ML Engineer : Position: AI/ML Engineer Experience: 4 - 10years Budget: As per Market Standards Notice Period: Up to 30 days / Serving NP will be preferrable Location: Noida Job description: We are looking for a passionate and skilled AI/ML Engineer with minimum 4 years of hands-on experience in Artificial Intelligence and Machine Learning. The ideal candidate should have hands-on experience working with Large Language Models (LLMs), vector databases, and AI-driven solutions. Key Responsibilities: Design, develop, and optimize AI/ML models with a focus on LLMs and vector-based architectures. Implement and fine-tune machine learning algorithms to enhance ...

Role & responsibilities Preferred candidate profile Machine Learning Engineer (SDE2) Experience: 3 - 5 Years Exp. Salary : INR 35-40 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 9:00AM to 6:00PM IST Opportunity Type: Office , Bengaluru, Karnataka Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : LLM, rag, Vector Database OR Pinecone OR Pinecone/ Weaviate/ FAISS/ ChromaDB, Chatbots OR Conversation AI MyNaksh (One of Uplers' Clients) is Looking for: Machine Learning Engineer (SDE2) who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team...

Job purpose: Design & implement the best-engineered technical solutions using the latest technologies and tools. Who You Are: Lead Python development efforts for GenAI and data engineering projects from architecture to deployment. Build and optimize LLM-powered pipelines, APIs, and services using OpenAI, Hugging Face, or similar frameworks. Architect and implement scalable data pipelines, transformation logic, and feature engineering for AI models. Collaborate with ML/AI scientists, data engineers, and product teams to deliver end-to-end GenAI solutions. Drive the integration of LLMs into real-time applications (e.g., chatbots, summarizers, copilots). Design and maintain efficient, reusable,...

Key Responsibilities Develop and maintain data ingestion pipelines using Azure Data Factory (ADF) and Databricks for structured and unstructured data. Create notebooks to process PDF and Word documents, including extracting text, tables, charts, graphs, and images. Apply NLP / Embedding Models (e.g., OpenAI, Hugging Face, sentence-transformers) to convert extracted content into embeddings. Store embeddings and metadata into Vector Databases (e.g., FAISS, Pinecone, Milvus, Weaviate, ChromaDB). Design and implement semantic search and retrieval workflows to enable prompt-based query capabilities. Optimize ETL pipelines for scalability, reliability, and performance. Collaborate with data scient...

Responsibilities: Design, develop, test & maintain Windows/Desktop software solutions using Python, ML/AI algorithms Work independently with minimal supervision and handle the projects end to end.

Role & responsibilities Data processing ML Ops apache spark Monitoring/Alerting ML Ops High (Prometheus, Grafana) Training Infrastructure ML Ops GPU Training/AWS/Azure Data Bases ML Ops Vector Databases Programming/ Scripting Language ML Ops Python ML Ops Pyspark

Position: Senior Backend Engineer Experience: 7+ Years Location: Remote We are seeking a Senior Backend Engineer to design, implement, and scale API, data, and infrastructure backbones that enable real-time AI-powered personalized learning experiences at global scale. Key Responsibilities Architect and maintain Fast API-based backend services for Smart Learns MVP. Design and optimize low-latency APIs supporting real-time lesson flows, tutor responses, and auto-grading feedback. Implement real-time RAG pipelines with ingestion (Playwright, Firecrawl, web scraping) and semantic retrieval (Pinecone, FAISS). Manage file ingestion workflows (PDFs, OCR, Firecrawl) with preprocessing and chunking p...