701 Vector Databases Jobs - Page 27

As a Python Developer within our Information Technology department, your primary responsibility will be to leverage your expertise in Artificial Intelligence (AI), Machine Learning (ML), and Generative AI. We are seeking a candidate who possesses hands-on experience with GPT-4, transformer models, and deep learning frameworks, along with a profound comprehension of model fine-tuning, deployment, and inference. Your key responsibilities will include designing, developing, and maintaining Python applications that are specifically tailored towards AI/ML and generative AI. You will also be involved in building and refining transformer-based models such as GPT, BERT, and T5 for various NLP and ge...

As a highly skilled Senior Data Scientist, you will bring expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to our team. Your primary responsibility will be to design, develop, and deploy advanced AI/ML models to facilitate data-driven decision-making processes. You must possess strong analytical skills, proficiency in AI/ML technologies, and hands-on experience with cloud-based solutions. Your key responsibilities will include designing and developing ML, NLP, and GenAI models to address complex business challenges. You will be tasked with building, training, and optimizing AI models using Python and various ML fra...

As a Data Scientist specializing in Natural Language Processing (NLP) and Large Language Models (LLMs), you will play a crucial role in designing, fine-tuning, and deploying cutting-edge open-source and API-based LLMs to address real-world challenges. Your primary focus will be on creating robust GenAI pipelines, innovative internal tools, and engaging client-facing applications. You will have the exciting opportunity to work at the forefront of AI technology, contributing to the advancement of intelligent systems through the utilization of Retrieval-Augmented Generation (RAG) frameworks, vector databases, and real-time inference APIs. Your responsibilities will include fine-tuning and optim...

At InnovationM , we're shaping the future of enterprise AI and are looking for a Senior Agentic AI Engineer to lead the design and development of cutting-edge agentic frameworks. Youll help build a scalable AI foundation that empowers multiple teams to deploy intelligent agents with autonomy, memory, and reasoning capabilities. Key Skills: Python | LangGraph | CrewAI | RAG | LLMs | Agentic Frameworks Tool Integration | Vector Databases | Autonomous Decision-Making Human-in-the-Loop | Secure, Scalable Architectures What Youll Do: Architect enterprise-grade AI frameworks Build reusable agentic patterns using LangGraph, CrewAI, AutoGPT Enable tools like APIs, vector stores, RPA, and internal se...

Position Lead Data Scientist JD Good understanding of GenAI LLM models (ChatGPT, LLAMA 2, etc.), Vector databases, LangChain, and LlamaIndex. Hands-on experience with Deep Learning architecture, NLP, and OCR. Expertise in deep learning frameworks such as TensorFlow, PyTorch, and Keras. Experience with Generative AI models like GANs, VAEs, and transformers. Knowledge of Agentic AI concepts and applications. Proficiency in data preprocessing, feature engineering, and model evaluation. Experience with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models. Python Fast API experience, SDA based implementations for all the APIs. Good understanding of Prompt Engineering Deep Learning F...

Role Overview: Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs). You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale. Key Responsibilities: Design an...

At OP, we are a people-first, high-touch organization committed to delivering cutting-edge AI solutions with integrity and passion. We are looking for a Senior AI Developer with expertise in AI model development, Python, AWS, and scalable tool-building. In this role, you will be responsible for designing and implementing AI-driven solutions, developing AI-powered tools and frameworks, and integrating them into enterprise environments, including mainframe systems. As a Senior AI Developer at OP, your key responsibilities will include developing and deploying AI models using Python and AWS for enterprise applications, building scalable AI-powered tools, designing and optimizing machine learnin...

As an AI/ML Developer at our innovative organization, you will have the exciting opportunity to work on AI initiatives and contribute to the development of innovative solutions. Your key responsibilities will include developing and maintaining applications for AI and LLM projects, conducting data analysis to identify trends and insights for model improvement, designing, developing, and deploying machine learning models for various applications, optimizing algorithms for performance and scalability, and staying up-to-date with the latest advancements in AI. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science or a related field from a recognized u...

You should have 6-8 years of experience in AI/ML development, with a strong emphasis on Generative AI and Prompt Engineering. Your proficiency in programming languages should include Python as primary, with knowledge of JavaScript, SQL, and NodeJS being beneficial. You must have a strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Transformers, and understanding of Generative AI models including LLMs. Expertise in designing and implementing efficient prompts for Generative AI is necessary, focusing on improving model performance, Guardrails, RAG, Prompting attacks evasion, and user interaction. Experience in integrating AI models with APIs and application servers (Flask, Dj...

We are looking for exceptional individuals to join our team at ScalePad as Head of AI Engineering. ScalePad is a prominent software-as-a-service (SaaS) company operating globally to provide Managed Service Providers (MSPs) with the tools and support needed to enhance client value in the ever-evolving IT landscape. As a member of our tech-management team, you will lead AI development initiatives, shape our AI strategy, and guide teams in creating impactful AI applications. This hands-on leadership role involves mentoring teams, improving developer productivity, and ensuring best practices in AI development, software engineering, and system design. Your responsibilities will include designing ...

As a Senior AI Engineer at BlackLine, you will lead the development and deployment of enterprise-ready Generative AI solutions. You will have the opportunity to play a pivotal role in applying generative AI and automation technologies to solve real-world business challenges. Your responsibilities will include designing, fine-tuning, and deploying state-of-the-art Generative AI models to address enterprise-specific use cases such as knowledge management, customer support, personalized insights, and content generation. You will also collaborate with business stakeholders to identify high-impact opportunities for applying Generative AI and drive decisions on whether to build custom AI solutions...

As a Gen AI Engineer, you will be responsible for developing and implementing AI models using cutting-edge technologies such as GPT-4, ChatGPT, and Hugging Face Transformers. Your primary duties will involve designing and refining AI-generated text prompts, utilizing LangChain for various AI applications, and integrating LlamaIndex to enhance AI solutions. Furthermore, you will work with vector databases and cache databases to efficiently manage large-scale AI data, as well as develop and integrate multi-modal foundation models to support diverse AI applications. Your role will also include applying AI-specific utilities and data analysis methods to improve AI models, developing and managing...

Role & responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Informatio...

We are hiring a Full Stack Developer with strong exposure to AI tools, APIs, and product development workflows. This role is for someone who can independently design, build, and deploy full-stack applications, and also integrate AI-powered components such as RSVP agents, recommendation systems, conversational flows, and automation tools. Responsibilities Build and maintain full-stack web apps using React, Node.js, Python Integrate AI/ML APIs like OpenAI, Cohere, LangChain, Pinecone, etc. Architect intelligent features using vector databases, RAG pipelines, and custom agent flows Work on both frontend + backend and own deployment, testing & CI/CD Collaborate closely with product & automation ...

Role & responsibilities Develop and fine-tune LLMs using techniques like RAG, transfer learning, or domain-specific adaptation Build AI agents using frameworks like LangChain or CrewAI to manage dynamic and multi-step workflows Work with vector databases (e.g., Pinecone) to enable semantic search and retrieval Design and maintain ETL pipelines and ensure smooth data preprocessing and transformation Implement NLP solutions for tasks like intent detection, sentiment analysis, and content generation Develop backend APIs and services using Python frameworks like FastAPI or Flask Contribute to scalable microservice-based architectures Requirements Bachelor's degree in Computer Science, Informatio...

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology ...

We're hiring a passionate Data Scientist / GenAI Engineer to join our AI-first team working on LLMs, RAG pipelines, NLP features, and GenAI use cases like chatbots, recommendation engines, and smart automation.

Develop and implement cutting-edge generative AI solutions, leveraging LLMs and RAG techniques to solve complex business challenges and drive innovation. Design and optimize AI agents that automate tasks, enhance decision-making processes, and improve overall operational efficiency across various departments. Spearhead the implementation of vector databases to efficiently store and retrieve high-dimensional data, enabling faster and more accurate AI model performance. Lead the fine-tuning of pre-trained models, adapting them to specific use cases and improving their performance on domain-specific tasks. Collaborate with cross-functional teams to integrate generative AI capabilities into exis...

As a Data Scientist at Amdocs in Pune, you will be responsible for the design, development, modification, debugging, and maintenance of software systems. Your role will involve hands-on experience in handling GenAI use cases and developing Databricks jobs for data ingestion for learnings. You will create partnerships with project stakeholders to provide technical assistance for important decisions and work on the development and implementation of Gen AI use-cases in live production as per business/user requirements. Your technical skills should include mandatory expertise in deep learning engineering (mostly on MLOps), strong NLP/LLM experience, and processing text using LLM. You should be p...

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...

Seeking a GenAI Software Engineer with 5+ years’ experience to develop LLM-based applications, RAG, and AI agents. Must be skilled in LangChain, vector databases, and cloud-based AI deployment in agile teams. Required Candidate profile Experienced AI developer with expertise in GenAI, LLM apps, and RAG. Proficient in LangChain, vector DBs, and cloud AI services. Strong collaboration and agile development background preferred.

: Generative AI Engineer : 3 to 5 years : We are looking for a Generative AI Engineer with 3 to 5 years of hands-on experience in Retrieval-Augmented Generation (RAG), Agentic AI, and Data Pipelines. The ideal candidate will have real-time experience in developing and deploying AI-powered solutions, working with advanced language models, and optimizing AI workflows for production environments. : Implement and optimize Retrieval-Augmented Generation (RAG) techniques to enhance AI response quality. Develop and deploy Agentic AI systems capable of autonomous decision-making and task execution. Build and manage data pipelines for processing, transforming, and feeding structured/unstructured data...

Responsibilities: Develop and optimize NLP models (NER, summarization, sentiment analysis) using transformer architectures (BERT, GPT, T5, LLaMA). Build scalable NLP pipelines for real-time and batch processing of large text data and optimize models for performance and deploy on cloud platforms (AWS, GCP, Azure). Implement CI/CD pipelines for automated training, deployment, and monitoring & integrate NLP models with search engines, recommendation systems, and RAG techniques. Ensure ethical AI practices and mentor junior engineers. Required Skills: Expert Python skills with NLP libraries (Hugging Face, SpaCy, NLTK). Experience with transformer-based models (BERT, GPT, T5) and deploying at sca...

Were Hiring: AI Developer | Generative AI, LLMs, Vision Models | Hybrid | 2 PM 11 PM Shift Are you passionate about building cutting-edge AI solutions? Join us at Xebia , where innovation meets impact. Were looking for an experienced AI Developer (5+ years) with strong expertise in Python, LLMs, vision models, and generative AI , ready to work on transformative projects using tools like Azure AI Studio, RAG frameworks, and vector databases . What We’re Looking For: Programming : Python (expert-level), REST APIs, Git AI/ML : TensorFlow / PyTorch, LLMs, vision models, generative AI Azure : Azure AI Studio, Azure Blob Storage, Event Hub, Kafka Frameworks : LlamaIndex, RAG, Agentic frameworks Po...

Position Overview: We are seeking a highly skilled and experienced Senior Data Engineer to enhance our data processing capabilities and support our innovative generative AI projects. This role is crucial for someone with a deep understanding of both traditional and modern data storage systems, including proficiency in graph and vector databases, SQL and NoSQL databases, as well as experience with unstructured data sources. The ideal candidate will have a proven track record of connecting varied data sources and building knowledge graphs to facilitate information discovery. This role involves collaborating with cross-functional teams to design and implement scalable data architectures that dr...