119 Vector Databases Jobs - Page 2

You will be joining a technology-driven publishing and legal-tech organization that is currently expanding its capabilities through advanced AI initiatives. With a strong internal team proficient in .NET, MERN, MEAN stacks, and recent chatbot development using OpenAI and LLaMA, we are seeking an experienced AI Solution Architect to lead the design, development, and deployment of transformative AI projects. As an AI Solution Architect, you will play a critical role in designing and delivering enterprise-grade AI solutions. Your responsibilities will include architecting, planning, and implementing AI solutions using Vector Databases, RAG Pipelines, and LLM techniques. You will lead AI solution design discussions, collaborate with engineering teams to integrate AI modules, evaluate AI frameworks, and mentor junior AI engineers and developers. To excel in this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or related fields, along with at least 5 years of experience in software architecture with a focus on AI/ML system design and project delivery. Hands-on expertise in Vector Search Engines, LLM Tuning & Deployment, RAG systems, and RLHF techniques is essential. You should also have experience working with multi-tech teams, strong command over architecture principles, and excellent team leadership skills. Experience with tools like MLflow, Weights & Biases, Docker, Kubernetes, and Azure/AWS AI services would be a plus. Exposure to data pipelines, MLOps, and AI governance, as well as familiarity with enterprise software lifecycle and DevSecOps practices, are also desirable. If you are passionate about AI technology, have a proven track record of delivering AI projects, and enjoy leading and mentoring technical teams, we encourage you to apply for this exciting opportunity to drive AI adoption across products and internal processes.,

You are a Gen AI Senior Software Engineer with over 5 years of experience, specializing in Generative AI and Large Language Models (LLMs). Your main responsibility is to design, develop, and implement GenAI solutions tailored to address business challenges, utilizing your expertise in Python for AI/ML solutions. Your key technical skills include proficiency in Python programming, hands-on experience in Retrieval-Augmented Generation (RAG) and familiarity with Vector Databases. It would be beneficial if you have experience in React.js and are open to learning new skills and technologies. In this role, you will be responsible for designing and implementing scalable GenAI solutions using Python, leading the architecture of AI-driven solutions, and developing customized solutions using Large Language Models (LLMs) for various applications. You will also create AI models for text and speech data, optimize AI model performance using similarity search algorithms, and build conversational chatbots using advanced NLP techniques. Furthermore, you will utilize vector databases to store and manage data for AI applications, implement Retrieval-Augmented Generation (RAG) pipelines, develop and maintain ETL pipelines for efficient data flow, and conduct experiments to evaluate AI model performance. You will also ensure that AI solutions comply with data privacy, security, and ethical standards while contributing to front-end development using React.js to create user-friendly interfaces for AI applications. Soft skills required for this role include adaptability to work in an agile environment, excellent presentation skills to engage with business users, and the ability to provide expert advice to resolve project issues and ensure client satisfaction.,

Yahoo Finance is the world's leading finance destination, providing investors with news, information, and tools to make confident financial decisions. Trusted by over 150 million visitors globally each month, representing over $20 trillion dollars in investable assets, Yahoo Finance delivers high-quality real-time market data across desktop, mobile, and streaming platforms. With breaking news from thousands of sources, original editorial perspectives, objective analyst ratings and research, analytical charts and technical tools, personalized mobile alerts, and more, Yahoo Finance equips investors with knowledge and insights to achieve financial freedom and greater prosperity. Yahoo is a top provider of media and technology brands, reaching over a billion people worldwide. Yahoos Media Engineering organization utilizes the latest technologies to build brands that members love, including Yahoo, AOL, Engadget, TechCrunch, Autoblog, In The Know, and more. With a focus on building at a massive scale to reach hundreds of millions of users, our teams strive to create world-class user experiences, delivering trusted content and data across all brands. We are committed to building and revitalizing this essential, trusted resource for investors and savers under a new leadership team. As an experienced engineer, you will collaborate closely with Engineering, Product, and Design teams to enhance our product offerings. You will develop applications and tools essential for supporting our business operations and ensuring the quality of our data and services. This role involves architecting, designing, scoping, building, maintaining, and iterating on systems needed to deliver world-class finance products and features. Responsibilities: - Be part of an agile scrum team, demonstrating progress through proof of concept, sandboxing, and prototyping - Architect and design scalable, maintainable, secure, and reusable strategic solutions - Deploy, monitor, and manage ML models in production environments using MLOps best practices - Work closely with data scientists to transition models from development to production efficiently - Optimize ML models and infrastructure for efficiency, scalability, and cost-effectiveness - Design and implement frameworks and tools to empower developers and non-technical colleagues - Lead key team initiatives by managing and improving the software development life cycle - Seek opportunities to improve quality and efficiency in day-to-day workflow processes - Present and communicate progress across multiple groups, sharing knowledge and best practices - Perform code reviews for peers and recommend approaches to solving complex problems - Own, deploy, monitor, and operate large-scale production systems - Lead and mentor junior engineers in building production-grade systems and applications - Act as a technical liaison to translate business needs into technical solutions Requirements (must have): - MS or PhD in Computer Science or related major - 5 to 10 years industry experience as a Back End Engineer, ML Engineer, or Research Engineer - Deep functional knowledge and hands-on experience with AWS or GCP cloud services, RESTful Web Services, Containerization (Docker, ECS, Kubernetes), and modern AI tools - Experience with AI/ML Ops tools and platforms, basic Data Science concepts, and version control tools - Capable of implementing resilient web architecture and building web products end to end - Familiarity with financial datasets and experience with time series analysis - Ability to work in a hybrid model, commuting 3 days a week to an office in Bangalore Important notes: - All applicants must apply for Yahoo openings directly with Yahoo - Offer letters and documents will be issued through the system for e-signatures - Yahoo offers flexibility around employee location and hybrid working For further inquiries about the role, please discuss with the recruiter.,

You are an experienced Python Backend Engineer with a strong background in AWS and AI/ML. Your primary responsibility will be to design, develop, and maintain Python-based backend systems and AI-powered services. You will be tasked with building and managing RESTful APIs using Django or FastAPI for AI/ML model integration. Additionally, you will develop and deploy machine learning and GenAI models using frameworks like TensorFlow, PyTorch, or Scikit-learn. Your expertise in implementing GenAI pipelines using Langchain will be crucial, and experience with LangGraph is considered a strong advantage. You will leverage various AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Collaborating with data scientists, DevOps, and architects to integrate models and workflows into production will be a key aspect of your role. Furthermore, you will be responsible for building and managing CI/CD pipelines for backend and model deployments. Ensuring the performance, scalability, and security of applications in cloud environments will be paramount. Monitoring production systems, troubleshooting issues, and optimizing model and API performance will also fall under your purview. To excel in this role, you must possess at least 5 years of hands-on experience in Python backend development. Your strong experience in building RESTful APIs using Django or FastAPI is essential. Proficiency in AWS cloud services, a solid understanding of ML/AI concepts, and experience with ML libraries are prerequisites. Hands-on experience with Langchain for building GenAI applications and familiarity with DevOps tools and microservices architecture will be beneficial. Additionally, having Agile development experience and exposure to tools like Docker, Kubernetes, Git, Jenkins, Terraform, and CI/CD workflows will be advantageous. Experience with LangGraph, LLMs, embeddings, and vector databases, as well as knowledge of MLOps tools and practices, are considered nice-to-have qualifications. In summary, as a Python Backend Engineer with expertise in AWS and AI/ML, you will play a vital role in designing, developing, and maintaining intelligent backend systems and GenAI-driven applications. Your contributions will be instrumental in scaling backend systems and implementing AI/ML applications effectively.,

We are seeking an experienced and forward-thinking Generative AI Architect with a background of 12-15 years in AI/ML, with a specific focus on working with LLMs (Large Language Models) and Generative AI solutions. This pivotal role involves designing and supervising the development of cutting-edge GenAI platforms and solutions that revolutionize business operations and enhance customer experiences. As the GenAI Architect, you will collaborate closely with Data Scientists, ML Engineers, Product Teams, and Stakeholders to envision, prototype, and scale Generative AI Use Cases throughout the organization or for clients. Key responsibilities include leading the design and implementation of scalable GenAI solutions utilizing LLMs, diffusion models, and multimodal architectures. You will also be tasked with architecting end-to-end pipelines that encompass prompt engineering, vector databases, retrieval-augmented generation (RAG), and LLM fine-tuning. Furthermore, you will play a crucial role in selecting and integrating foundational models based on business requirements and technical limitations, defining GenAI architecture blueprints and best practices, and guiding teams on model evaluation, inference optimization, and cost-effective scaling strategies. Additionally, staying abreast of the rapidly evolving GenAI landscape, evaluating emerging tools, APIs, and frameworks, and collaborating with various stakeholders to identify high-impact GenAI use cases are essential aspects of this role. Requirements: - A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. A PhD would be advantageous. - 12-15 years of experience in AI/ML and software engineering, with at least 3 years of dedicated focus on Generative AI and LLM-based architectures. Core Skills: - Profound expertise in machine learning, natural language processing (NLP), and deep learning architectures. - Hands-on familiarity with LLMs, transformers, fine-tuning techniques, and prompt engineering. - Proficiency in Python, including working knowledge of libraries/frameworks like Hugging Face Transformers, LangChain, OpenAI API, PyTorch, and TensorFlow. - Experience with vector databases and RAG pipelines. - Strong grasp of cloud-native AI architectures, containerization, and API integration. Architectural & Leadership Skills: - Demonstrated ability to design and implement scalable, secure, and efficient GenAI systems. - Excellent communication skills for effective cross-functional collaboration and stakeholder engagement. - Capacity to mentor engineering teams and foster innovation within the AI/ML ecosystem. Nice-to-Have: - Previous experience with multimodal models. - Understanding of AI governance, ethical AI, and compliance frameworks. - Familiarity with MLOps practices for GenAI, encompassing model versioning, drift detection, and performance monitoring.,

As an AI/ML Engineer at SolGuruz, you will play a crucial role in harnessing the power of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) to transform software with advanced AI/ML capabilities. Your efforts will directly impact the user experience, pushing the boundaries and setting new benchmarks in AI-driven products. Your responsibilities will involve designing and implementing cutting-edge AI/ML models and solutions. You will delve deep into generative AI models and techniques, spanning Text-to-Speech, Speech to Text, Speech to Speech, Text to Image, and Image to Text. Evaluating AI models across diverse applications like content creation, design automation, Cloud Vision AI, and Natural Language AI will be part of your core tasks. Writing and maintaining high-quality Python code that is not only efficient and scalable but also well-documented will be essential. Collaboration with fellow engineers, researchers, and product managers to define requirements, brainstorm solutions, and refine designs will be a key aspect of your role. Additionally, contributing to the development of internal tools and infrastructure for AI/ML research and development will be expected. To excel in this role, you should stay updated on the latest advancements in AI/ML research and development. Having an understanding of AI Chatbots, document search, MLOps, supervised learning, unsupervised learning, Video analytics, Image analytics, NLP, exploratory data analysis, descriptive analytics, prescriptive analytics, and predictive analytics is crucial. What We Are Looking For: - Proficiency in Large Language Models such as Open AI, Stable Diffusion, and Generative AI models/services offered by AWS, Azure, and Google. - Hands-on experience with popular machine learning libraries like TensorFlow, PyTorch, etc. - Practical knowledge of AI/ML development using Python and advanced scripting in Python. - Expertise in databases, especially vector databases, along with strong experience in one of the cloud platforms. - Experience in implementing MLOps practices for machine learning models using Azure ML/AWS Sagemaker. Why SolGuruz - Embrace a culture that fosters innovation and forward-thinking. - Opportunities for professional growth and career advancement. - No bond, no contract. - Work 5 days a week with flexible timings to support work-life balance. - No bossism culture - thrive through collaboration. - Benefit from a high-config laptop to boost productivity. - Engage in various activities to enhance team spirit. Skills: text-to-speech, image to text, TensorFlow, AI/ML, PyTorch, vector databases, Large Language Models, Python, Azure, AWS, speech to text, cloud platforms, MLOps, NLP, text to image, speech to speech, generative AI.,

We are seeking a backend developer with experience in integrating open-source LLMs (e.g., Mistral, LLaMA) and vector databases (such as FAISS, Qdrant, Weaviate, Milvus) in offline or edge environments. As part of the team, you will be involved in developing core APIs and infrastructure to facilitate embedding pipelines, retrieval-augmented generation (RAG), and LLM inference on local or mobile hardware. Your responsibilities will include designing and implementing backend services that connect with local LLMs and vector databases, creating APIs to support engineering, retrieval, and inference, integrating embedding models (e.g., BGE, MiniLM), and managing chunking/processing pipelines. Additionally, you will be optimizing performance for offline or constrained environments such as mobile and embedded devices, packaging and deploying models using frameworks like Ollama, llama.cpp, gguf, or on-device runtimes, as well as handling local file I/O, document ingestion, metadata tagging, and indexing. About the Company: Infoware is a process-driven software solutions provider that specializes in tailored software solutions. Our expertise lies in collaborating with enterprises and startups to deliver comprehensive end-to-end solutions. To learn more about our company, please visit our website at https://www.infowareindia.com/,

You are an experienced AI Application Architect responsible for leading the design and integration of AI/ML capabilities into enterprise applications. Your main objective is to architect intelligent, scalable, and reliable AI solutions that are in line with both business goals and technical strategies. You will work closely with data scientists, ML engineers, and application developers to ensure seamless end-to-end solutions. Additionally, you will be required to select and implement appropriate AI frameworks, APIs, LLMs, and infrastructure tools, as well as drive architecture decisions related to GenAI, NLP, CV, predictive analytics, and agentic AI systems. You will also establish MLOps pipelines for training, testing, and deploying models at scale while ensuring compliance with AI ethics, privacy laws, and data governance policies. Furthermore, you will evaluate emerging technologies, tools, and platforms for enterprise use and act as a technical advisor to leadership on AI opportunities and risks. In terms of required skills, you should have a strong background in AI/ML architecture and solution design, along with hands-on experience in ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Proficiency in LLMs and generative AI tools like OpenAI, Azure OpenAI, LangChain, and Hugging Face is necessary. A solid programming background in Python (FastAPI, Flask) and familiarity with Java/Node.js are essential. Experience with cloud platforms (AWS/GCP/Azure) and ML toolkits like SageMaker, Azure ML, and Vertex AI is also crucial. Additionally, a good understanding of microservices, REST APIs, GraphQL, and event-driven architecture is required. Knowledge of vector databases such as Pinecone, FAISS, Chroma, or Weaviate, as well as proficiency with CI/CD, Docker, Kubernetes, MLflow, Airflow, or similar tools, is expected. Preferred qualifications include experience with multi-agent systems, LangChain, Autogen, or Agentic AI frameworks, familiarity with data governance, model drift detection, and performance monitoring, and prior experience in industries like BFSI, Retail, Healthcare, or Manufacturing. Education-wise, a Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field is required. Certifications in AI/ML, cloud (AWS/GCP/Azure), or MLOps are considered a plus.,

As a member of the Zuddl team, you will be contributing to a modular platform for events and webinars that is trusted by event teams from global organizations like Microsoft, Google, ServiceNow, Zylo, Postman, TransPerfect, and the United Nations. Our outcome-oriented platform focuses on flexibility and aims to be more of a partner than just a vendor, allowing B2B marketers and conference organizers to tailor their events and scale their programs effectively. Zuddl, a part of Y-Combinator 2020 batch, has recently secured $13.35 million in Series A funding led by Alpha Wave Incubation and Qualcomm Ventures, with support from existing investors GrowX Ventures and Waveform Ventures. Your responsibilities will include prototyping LLM-powered features using frameworks like LangChain and OpenAI Agents SDK to enable content automation and intelligent workflows. You will also be involved in building and optimizing Retrieval-Augmented Generation (RAG) systems, working with vector databases for similarity search, experimenting with prompt engineering, deploying LLM-based microservices and agents, analyzing model metrics, and collaborating with cross-functional teams to align AI features with business needs. The ideal candidate should possess strong Python programming skills, familiarity with agentic AI frameworks, understanding of RAG architectures, experience with vector databases, and a portfolio of LLM-based projects. Additionally, capabilities in building full-stack web applications, data analytics skills, strong ML fundamentals, experience with building recommender systems, and exposure to deep learning frameworks and MLOps/DevOps tooling would be advantageous. At Zuddl, you will have the opportunity to potentially convert to a Full-Time Role based on performance, work in a culture built on trust, transparency, and integrity, be part of a fast-growing series A startup, receive a competitive stipend, work on AI-first features in an event-tech startup with global customers, and thrive in a remote-first, empowering culture driven by ownership and trust.,

You will be working full-time at Soothsayer Analytics in Hyderabad as a Generative AI/LLM Engineer. Your primary responsibility will be to design, develop, and deploy generative AI models using cutting-edge technologies like Azure OpenAI GPT-4, GPT-4 Vision, or GPT-4 Omni. You should have a strong background in building and deploying AI models, with a focus on leveraging technologies such as Retrieval-Augmented Generation (RAG) and working with Vector Databases. While experience in fine-tuning large language models (LLMs) is beneficial, it is not mandatory. You are expected to have a general understanding of training or fine-tuning deep learning models and be able to quickly learn and implement advanced techniques. Your key responsibilities will include designing, developing, and deploying generative AI models using GPT-4 variants, implementing and optimizing RAG techniques, building and managing AI services using Python frameworks like LangChain or LlamaIndex, and developing APIs with FastAPI or Quart for efficient integration. You will focus on scalability, performance, and optimization of AI solutions across cloud environments, particularly with Azure and AWS. Working with Vector Databases is mandatory, and experience with Graph Databases is optional. You will also utilize Cosmos DB and SQL for data storage and management solutions, apply MLOps or LLMOps practices, and manage Azure Pipelines for continuous integration and deployment. Additionally, you will continuously research and adopt the latest advancements in AI technologies. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field, with at least 1+ years of experience in Generative AI/LLM technologies and 5+ years of experience in related fields. Proficiency in Python and experience with frameworks like LangChain, LlamaIndex, FastAPI, or Quart is required. Expertise in RAG and experience with Vector Databases are mandatory. Knowledge of Cosmos DB and SQL is also essential. Experience with fine-tuning LLMs and Graph Databases is beneficial but not mandatory. You should have proven experience in MLOps, LLMOps, or DevOps, a strong understanding of CI/CD processes, automation, and pipeline management, and familiarity with containers, Docker, or Kubernetes. Experience with cloud platforms, particularly Azure or AWS, and cloud-native AI services is desirable. Strong problem-solving abilities and a proactive approach to learning new AI trends and best practices quickly are necessary for this role.,

As a GEN AI and Machine Learning Engineer, you will be responsible for leveraging your Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or a related field to develop and deploy machine learning and AI models. With a solid foundation in mathematics, statistics, and probability, you will utilize your strong programming skills in Python and proficiency in SQL/NoSQL databases to build analytical approaches based on business requirements. Your hands-on experience with Agentic AI frameworks will be crucial in building AI-driven features and solutions by collaborating with software engineers, business stakeholders, and domain experts. You will have the opportunity to work with Generative AI models and tools like OpenAI, Google Gemini, and Runway ML, in addition to AI/ML and deep learning frameworks such as TensorFlow, PyTorch, Scikit-learn, OpenCV, and Keras. In this role, you will preprocess and analyze large-scale datasets to extract meaningful insights, identify trends, and develop RESTful APIs using Flask or Django. Proficiency in cloud environments like AWS, Azure, or GCP will be essential as you deploy AI/ML applications and continuously monitor model performance for accuracy, scalability, and generalization. Additionally, your familiarity with ML operations tools such as MLFlow, Kubeflow, and CI/CD pipelines will be advantageous in evaluating and optimizing model performance. Experience with Docker, Kubernetes, and container orchestration, as well as frontend technologies like HTML, CSS, JavaScript/jQuery, Node.js, Angular, or React, will be beneficial for this role. Overall, as a GEN AI and Machine Learning Engineer, you will play a key role in designing, developing, and deploying AI/ML, NLP/NLU, and deep learning models and applications. Your ability to document development processes, results, and best practices will contribute to transparency and continuous learning within the organization.,

Responsibilities: * Design, develop, test & maintain backend systems using Node.JS, ExpressJS, FastAPI & Python. * Collaborate with cross-functional teams on project delivery within AWS environment. Work from home Leave encashment

Business Analyst Lead | GenAI Strategy & Implementation | 7-10 Years of Experience Locations Open To: Gurgaon | Noida Seasoned Business Analyst Lead with 7-10 years of experience driving the adoption and operationalization of Generative AI technologies within enterprise environments. Proven ability to bridge the gap between cutting-edge innovationssuch as LLMs, RAG systems, and AI agentsand measurable business value. GenAI & Technical Expertise: Hands-on with LangChain, LlamaIndex, and RAG architectures; experience fine-tuning models using LoRA and working with vector DBs. Proficient in GenAI platforms including Azure OpenAI Studio, GCP Vertex AI, and Hugging Face. Familiar with synthetic data tools (Gretel, Mostly AI); skilled in validating data quality using SQL and Python. Business Analysis & Use Case Delivery: Skilled in identifying high-impact GenAI use cases across domains like content automation, customer service, and synthetic data generation. Expert in user story mapping for complex agent workflows (AutoGen, CrewAI) and BPMN process modeling for AI-human interaction. Conducts detailed cost-benefit analyses (e.g., GPT-4 Enterprise vs. open-source models) to inform build-vs-buy decisions. Requirements Engineering & Governance: Defines GenAI-specific NFRs including hallucination thresholds, latency SLAs, and ethical safeguards (bias, PII). Documents prompt engineering playbooks and iteration workflows to support scalable solution development. Establishes performance frameworks: token cost metrics, user trust scores, model drift alerts, and audit mechanisms aligned to regulatory standards (e.g., EU AI Act). Stakeholder Enablement: Converts technical GenAI potential into tangible business outcomes—such as reducing support costs by 30% or halving contract turnaround times with AI tools. Manages stakeholder expectations around the probabilistic nature of GenAI, implementing robust fact-checking and feedback loops.

As a Senior Data Engineer + AI, you will play a crucial role in designing and optimizing distributed data pipelines using PySpark, Apache Spark, and Databricks to cater to both analytics and AI workloads. Your expertise in PySpark, Apache Spark, and Databricks for batch and streaming data pipelines will be instrumental in contributing to high-impact programs with clients. Your strong SQL skills for data analysis, transformation, and modeling will enable you to drive data-driven decision-making and facilitate rapid insight generation. Your responsibilities will involve supporting RAG pipelines, embedding generation, and data pre-processing for LLM applications, as well as creating and maintaining interactive dashboards and BI reports using tools such as Power BI, Tableau, or Looker. You will collaborate with cross-functional teams, including AI scientists, analysts, and business teams, to ensure the successful delivery of use cases. In this role, you will need to have a solid understanding of data warehouse design, relational databases such as PostgreSQL, Snowflake, SQL Server, as well as data lakehouse architectures. Your familiarity with cloud services for data and AI, such as Azure, AWS, or GCP, will be essential for ensuring data pipeline monitoring, cost optimization, and scalability in cloud environments. Furthermore, your exposure to Generative AI, RAG, embedding models, and vector databases like FAISS, Pinecone, ChromaDB, as well as experience with Agentic AI frameworks such as LangChain, Haystack, CrewAI, will be beneficial. Your knowledge of MLflow, Delta Live Tables, or other Databricks-native AI tools, CI/CD, Git, Docker, and DevOps pipelines will also be advantageous in this role. If you have a background in consulting, enterprise analytics, or AI/ML product development, it will further enhance your ability to excel in this position. Your excellent problem-solving and collaboration skills, coupled with your ability to bridge engineering and business needs, will be key to your success as a Senior Data Engineer + AI.,

Wipro Limited is a prominent technology services and consulting company dedicated to creating innovative solutions that cater to the complex digital transformation requirements of clients. With a comprehensive range of capabilities in consulting, design, engineering, and operations, Wipro assists clients in achieving their ambitious goals and establishing sustainable businesses. With a global presence of over 230,000 employees and business partners spanning across 65 countries, Wipro is committed to supporting customers, colleagues, and communities in thriving amidst an ever-changing world. For more information, please visit www.wipro.com. As an AI/ML Engineer at Wipro's innovation arm, Lab45, located in Bangalore, you will be at the forefront of developing cutting-edge products, platforms, and solutions. Lab45 aims to leverage cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies such as Blockchain, AR/VR, and Software Defined Vehicles to empower clients and customers in adapting to the digital landscape and achieving greater success. The collaborative environment at Lab45 fosters creativity and accelerates the ideation process throughout Wipro. In this role, you will play a key part in designing, developing, and maintaining robust backend systems that integrate advanced AI and ML capabilities. Your responsibilities will include implementing and optimizing LangChain for efficient language model chaining, managing data using vector databases to enhance model performance, developing solutions based on large language models, Retrieval-Augmented Generation, and Graph RAG, and collaborating with cross-functional teams to drive innovation in AI-driven solutions. As a part of our dynamic team, you will be expected to stay updated on industry trends in AI and ML technologies and contribute to continuous improvement in our solutions through clean coding practices and effective documentation. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science or a related field, along with a minimum of 5 years of experience as a Software Engineer focusing on backend development. Proficiency in Python programming, familiarity with relevant frameworks and libraries in AI and ML, expertise in LangChain, vector databases, MongoDB, and Pinecone, as well as a deep understanding of LLMs, RAG, Graph RAG, and other Generative AI concepts are essential. Additionally, strong skills in software design, data structures, algorithms, version control systems like Git, CI/CD pipelines, analytical thinking, problem-solving abilities, and excellent communication skills are required. Preferred skills include experience with cloud platforms such as AWS, Google Cloud, Azure, and knowledge of scalable architecture, containerization, and orchestration technologies like Docker and Kubernetes. Join Wipro's reinvention journey and be a part of an organization that encourages constant evolution, growth, and empowerment. We are looking for individuals inspired by reinvention, who are ready to design their own career path and contribute to building a modern Wipro. Come to Wipro and realize your ambitions in an inclusive environment where diversity and innovation thrive. Applications from individuals with disabilities are especially encouraged.,

You will be responsible for developing and maintaining high-performance server-side applications in Python following SOLID design principles. You will design, build, and optimize low-latency, scalable applications and integrate user-facing elements with server-side logic via RESTful APIs. Maintaining ETL and Data pipelines, implementing secure data handling protocols, and managing authentication and authorization across systems will be crucial aspects of your role. Additionally, you will ensure security measures and setup efficient deployment practices using Docker and Kubernetes. Leveraging caching solutions for enhanced performance and scalability will also be part of your responsibilities. To excel in this role, you should have strong experience in Python and proficiency in at least one Python web framework such as FastAPI or Flask. Familiarity with ORM libraries, asynchronous programming, event-driven architecture, and messaging tools like Apache Kafka or RabbitMQ is required. Experience with NoSQL and Vector databases, Docker, Kubernetes, and caching tools like Redis will be beneficial. Additionally, you should possess strong unit testing and debugging skills and the ability to utilize Monitoring and Logging frameworks effectively. You should have a minimum of 1.5 years of professional experience in backend development roles with Python. Your expertise in setting up efficient deployment practices, handling data securely, and optimizing application performance will be essential for success in this position.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation, Statistical Insights, and AI/GenAI. The assignments cover a wide range of countries and industry sectors. We are looking for an Associate Manager - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics, and Python Programming. You will be responsible for developing and delivering industry sectors specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. **Your key responsibilities:** - Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. - Lead the development and implementation of Generative AI applications using open source and closed source Large Language Models (LLMs). - Work with advanced models for natural language processing and creative content generation using contextual information. - Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. - Understand Business and Sectors, identify whitespaces and opportunities for analytics application. - Work on large to mid-size projects, ensure smooth service delivery, and provide expert reviews. - Communicate with cross-functional teams and manage stakeholder relationships. **Skills and attributes for success:** - Able to work creatively and systematically in a time-limited, problem-solving environment. - Loyal, reliable, with high ethical standards. - Flexible, curious, creative, and able to propose innovative ideas. - Good interpersonal skills, team player, and positive in a group dynamic. - Intercultural intelligence, experience of working in multi-cultural teams. - Ability to manage multiple priorities simultaneously and drive projects to completion with minimal supervision. **To qualify for the role, you must have:** - Experience in guiding teams on AI/Data Science projects and communicating results to clients. - Familiarity with implementing solutions in Azure Cloud Framework. - Excellent Presentation Skills. - 8-10 years of relevant work experience in developing and implementing AI, Machine Learning Models. - Experience in statistical techniques, deep learning, machine learning algorithms. - Proficient in Python programming and SDLC principles. - Willingness to mentor team members and travel extensively. - Excellent written and verbal communication skills. **Ideally, you'll also have:** - Ability to think strategically and build rapport within the firm and with clients. If you are a team player with commercial acumen, technical experience, and enthusiasm to learn new things in a fast-moving environment, and interested in being part of a market-prominent, multi-disciplinary team, this opportunity at EY could be the next step in your career growth.,

You will be responsible for developing and maintaining backend services using Python, integrating with third-party APIs, collaborating with frontend teams, and working with vector databases. Your role will involve handling structured data, writing clean and efficient code, and containerizing applications using Docker. To excel in this role, you should have proficiency in Python, building REST APIs, and familiarity with modern frontend frameworks. Experience with GenAI tools, vector search concepts, and async programming in Python will be beneficial. It would be advantageous if you have worked with NoSQL databases, have a background in RAG and LLMs, and exposure to cloud services. This is a full-time position with day and morning shifts. The job is based in Mohali, Punjab, and requires in-person work. If you have 2 years of experience in Python and front-end development, you are preferred for this role. Ability to reliably commute or relocate to Mohali, Punjab, is preferred for this position.,

We are seeking a talented AI/ML Developer with a strong passion for Artificial Intelligence to become a valuable member of our innovative organization. This role presents a thrilling opportunity to actively participate in AI projects and contribute to the creation of cutting-edge solutions. Your primary responsibilities will include developing and maintaining applications for AI and Large Language Model (LLM) projects. You will be tasked with conducting data analysis to identify trends and insights that can enhance the efficiency of models. Designing, developing, and deploying machine learning models for diverse applications will also be a key aspect of your role. Optimization of algorithms for improved performance and scalability will be essential, along with staying abreast of the latest advancements in the field of AI. To qualify for this position, you should possess a Bachelor's or Master's degree in Computer Science or a related field from an accredited university. While internship experience in AI or related domains is advantageous, demonstrable expertise in AI/ML programming and development is crucial. Proficiency in utilizing OpenAI technologies and Vector Databases is required, along with familiarity with Large Language Models (LLMs) and frameworks like LangChain and LLamaIndex. Experience in API Development and managing Relational Databases is also highly desirable. Strong problem-solving abilities, meticulous attention to detail, and the capacity to work both independently and collaboratively in a team environment are key attributes we are looking for. Join our team and embark on an exciting journey to drive forward the advancement of AI technology. Your expertise in machine learning models, LlamaIndex, Vector databases, algorithm optimization, data analysis, OpenAI technologies, API development, Large Language Models (LLMs), AI/ML programming, and relational databases will be invaluable assets in contributing to our innovative projects.,

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 (primary), with knowledge of JavaScript, SQL, and NodeJS being beneficial. You should have a strong experience with AI/ML frameworks such as TensorFlow, PyTorch, Transformers, and an understanding of Generative AI models, including LLMs. Additionally, you should have expertise in designing and implementing efficient prompts for Generative AI, focusing on improving model performance, Guardrails, RAG, Prompting attacks evasion, and user interaction. Experience in integrating AI models with APIs and application servers like Flask, Django, FastAPI for scalable AI applications is required. Previous experience in Generative AI application development, especially in designing prompts for LLMs is preferred. Knowledge of SQL and NoSQL databases such as MongoDB for managing AI model inputs and outputs is essential. Experience in Vector Databases, Vector Similarity Search, and Embedding models and frameworks is also required. It would be good to have experience with cloud platforms like AWS, Azure, and containerization technologies like Docker for deploying AI solutions. A solid understanding of software development best practices, including version control (Git), code reviews, testing, and CI/CD pipelines is beneficial. Knowledge of front-end technologies (HTML, CSS, JavaScript) for developing intuitive user interfaces is an advantage. Exposure to Azure AI/ML stack and familiarity with healthcare-related projects or HIPAA compliance is advantageous. Experience in designing multi-lingual Generative AI applications would be a plus. Qualifications required for this role include a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Your skills should cover containerization technologies (Docker), AI/ML development, TensorFlow, software development best practices, code, vector databases, PyTorch, prompt engineering, JavaScript, API integration (Flask, FastAPI, Django), Python, AIML, Generative AI models, cloud platforms (AWS, Azure), SQL, databases, HIPAA compliance, multi-lingual Generative AI applications, Transformers, Azure AI/ML stack, front-end technologies (HTML, CSS, JavaScript), NoSQL databases, API, ML, LLM/OpenAI API, and application integration.,

As a Software Engineer at Infoware, you will be responsible for developing and fine-tuning a Retrieval-Augmented Generation (RAG) pipeline to personalize responses based on a user's history, preferences, and interactions. Your role will involve designing a scalable system for capturing, storing, indexing, and retrieving user-specific knowledge. You will integrate AI-based systems by combining algorithms and automation, engineer prompts, and optimize context windows for better LLM retrieval. Additionally, you will apply vector databases and embedding models to user-specific data and create adaptive systems that learn and evolve over time. In this role, you will be expected to work independently, propose solutions, and iterate quickly. The ability to learn and adapt to various enterprise systems is crucial for success in this position. The probation period for this role is 3 months, and the salary during this period will be decided with the candidate. Infoware is a process-driven software solutions provider that specializes in bespoke software solutions. We collaborate with enterprises and startups, offering them end-to-end solutions. To learn more about our company, please visit our website at https://www.infowareindia.com/,

The Specialized Analytics Manager provides full leadership and supervisory responsibility. You will provide operational/service leadership and direction to team(s). You will apply in-depth disciplinary knowledge through provision of value-added perspectives or advisory services. You may contribute to the development of new techniques, models, and plans within the area of expertise. Excellent communication and diplomacy skills are required for this role. You will generally have responsibility for volume, quality, timeliness of end results, and shared responsibility for planning and budgets. Your work will affect an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. You will have full supervisory responsibility, ensuring motivation and development of the team through professional leadership. This will include duties such as performance evaluation, compensation, hiring, disciplinary and terminations, as well as direction of daily tasks and responsibilities. The Data Science Analyst is a developing professional role within the GWFO team. In this role, you will apply specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. You will work with cross-functional stakeholders to gather and process operational data from various sources to examine past business performance and identify areas for improvement. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, curious about learning and developing new skill sets, particularly in the area of artificial intelligence, have a positive outlook with a can-do mindset, and strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. Experience with statistical modeling techniques, building GenAI solutions, agentic AI frameworks, and data visualization tools such as Tableau or Power BI is required. Strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills are also essential. You should have a Bachelors/University degree or equivalent experience. This job description provides a high-level review of the types of work performed, and other job-related duties may be assigned as required. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster.,

As a Data Scientist specializing in Generative AI (GenAI), you will be joining our advanced analytics team where you will be responsible for designing, developing, and deploying GenAI models using cutting-edge frameworks such as LLMs and RAG. Your role will involve building and implementing AI pipelines on cloud services like AWS, Azure, and GCP, and collaborating with cross-functional teams to integrate AI models into business applications. Additionally, you will be managing tokenization strategies, chunking, vector stores, and prompt engineering to ensure optimal GenAI performance while adhering to best practices in hallucination control and ethical AI. In this role, you will be driving research and experimentation in Knowledge Graphs, Vision APIs, and Responsible AI practices to contribute to the innovation of AI-driven business processes. Furthermore, you will collaborate with engineering teams to deploy GenAI solutions into production environments using technologies such as Docker, SQL, and versioning tools. The ideal candidate for this position must have a strong understanding of Agent Framework, RAG Framework, Chunking Strategies, LLMs, and other GenAI methodologies. Proficiency in cloud services such as AWS, Azure, and GCP is essential, along with experience in LangChain, Vector Databases, Token Management, Knowledge Graphs, Vision APIs, and Prompt Engineering. Additionally, familiarity with AI Algorithms, Deep Learning, Computer Vision, Hallucinations Control Methodology, and Responsible AI Methodology are considered good-to-have skills. Technical skills required for this role include proficiency in Python, Docker, SQL, and versioning tools like Git. Experience with at least one cloud platform (AWS, Azure, or GCP) is mandatory. Candidates applying for this position should meet the following eligibility criteria based on their experience level: - Consultant: 3+ years of relevant experience in Data Science - Assistant Manager: 4+ years of relevant experience in Data Science - Manager: 5+ years of relevant experience in Data Science Preferred candidates will have a strong background in Python programming, a track record of successful project delivery using LLMs or GenAI, and the ability to work effectively both independently and collaboratively in fast-paced environments.,

As a skilled Data Scientist specializing in Generative AI, you will be responsible for designing, developing, and deploying state-of-the-art AI models to tackle real-world business challenges. Your role will involve working with Large Language Models (LLMs), Generative Adversarial Networks (GANs), Retrieval-Augmented Generation (RAG) frameworks, and transformer architectures to create production-ready solutions. Your key responsibilities will include: - Designing, developing, and fine-tuning advanced Generative AI models such as LLMs, GANs, and Diffusion models. - Implementing and enhancing RAG and transformer-based architectures to enable contextual understanding and document intelligence. - Customizing and optimizing LLMs for specific domain applications. - Building, maintaining, and optimizing ML pipelines and infrastructure for model training, evaluation, and deployment. - Collaborating with engineering teams to integrate AI models into user-facing applications. - Staying updated with the latest trends and research in Generative AI, open-source frameworks, and tools. - Analyzing model outputs for quality and performance, ensuring adherence to ethical AI practices. To excel in this role, you should possess the following skills: - Strong proficiency in Python and deep learning frameworks like TensorFlow, PyTorch, and HuggingFace Transformers. - Deep understanding of GenAI architectures such as LLMs, RAG, GANs, and Autoencoders. - Experience in fine-tuning models using techniques like LoRA, PEFT, or equivalents. - Knowledge of vector databases like FAISS, Pinecone, and embedding generation methods. - Experience in handling datasets, preprocessing, and synthetic data generation. - Solid grasp of NLP concepts, prompt engineering, and safe AI practices. - Hands-on experience in API development, model deployment, and cloud platforms such as AWS, GCP, and Azure. By leveraging your expertise in Generative AI and staying abreast of industry advancements, you will play a crucial role in developing cutting-edge solutions to address complex business problems.,

As a Founding Engineer at Qolaba, you will play a crucial role within the core team in shaping the future of AI collaboration from the ground up. The primary objective is to democratize artificial intelligence, making it accessible, practical, and robust for all users. Your main responsibility will revolve around engineering scalable and high-performance systems that empower teams and individuals to create, automate, and scale using AI technologies. In this position, you will have substantial ownership and influence, enabling you to make critical architectural decisions for the entire platform. Your proficiency in the modern TypeScript ecosystem will be instrumental in developing top-notch, low-latency applications that define our product offerings. Being a founding member, your role extends beyond coding as you will also contribute to shaping the engineering culture and establishing benchmarks for technical excellence. The ideal candidate is expected to be dynamic, productive, and passionate about exploring, innovating, and constructing cutting-edge technology solutions. Qolaba is a company that prioritizes engineering excellence and is committed to realizing sophisticated, human-like AI capabilities. We seek individuals with a diverse range of technical competencies who are eager to design intelligent tools that enhance cognitive abilities, boost productivity, and tackle complex challenges. Working at Qolaba involves more than just coding; it involves creating the foundation that propels us towards achieving accessible Artificial General Intelligence (AGI). Your responsibilities will include designing, developing, testing, deploying, and enhancing full-stack, AI-driven software solutions. You will be tasked with architecting and constructing scalable, high-performance distributed systems from the ground up, ensuring optimal latency, availability, and quality. Additionally, you will be responsible for implementing and managing the data persistence layer, utilizing databases such as PostgreSQL, MongoDB, and Vector Databases to support intricate application logic and AI-driven functionalities. Leading front-end development using contemporary frameworks like Next.js and React Native Expo will be part of your role, integrating generative AI models to create dynamic, responsive, and innovative user experiences. Writing high-quality, well-tested code will be essential, establishing a solid foundation for engineering excellence across the organization. Furthermore, close collaboration with the founders to define and execute the product roadmap is a key aspect of this role.,