119 Vector Databases Jobs

As a Machine Learning Engineer at Skyfall, you will play a crucial role in deploying and optimizing large language models (LLMs) in production environments. Your responsibilities will include deploying post-trained LLMs, optimizing inference for cost and latency, and building scalable training pipelines using cutting-edge technologies like DeepSpeed, Accelerate, and Ray. The Skyfall team, comprising of industry pioneers from Maluuba, is committed to revolutionizing the AI ecosystem by creating the first world model for the enterprise. By overcoming the limitations of existing LLMs, the Enterprise World Model aims to provide enterprises with a comprehensive understanding of the intricate relationships between data, people, and processes within organizations. You will be part of a dynamic team spread across New York, Toronto, and Bangalore, working on designing distributed training infrastructure, managing multi-cloud ML deployments, and implementing advanced model compression techniques. Additionally, you will develop internal tools to facilitate multi-GPU training and large-scale experimentation, ensuring efficient resource allocation and continuous model evaluation. To excel in this role, you should have a minimum of 3 years of experience in ML engineering, model deployment, and large-scale training. Proficiency in vector databases such as FAISS, Pinecone, and Weaviate for retrieval-augmented generation (RAG) is essential. Experience with multi-cloud ML deployment, hands-on deployment of large-scale models in production, and expertise in multi-GPU training and inference optimizations are key requirements. Your strong knowledge of ML system performance tuning, latency optimization, and cost reduction strategies will be instrumental in developing cluster management tools for external compute infrastructure and implementing state-of-the-art model compression techniques. By staying abreast of LLM fine-tuning techniques, RLHF, and model evaluation metrics, you will contribute to Skyfall's mission of disrupting the AI landscape and providing enterprises with significant value through innovative solutions.,

As an Azure AI Engineer at Optimum Data Analytics, you will be a key member of our team in Pune, contributing to the design and deployment of cutting-edge AI/ML solutions using Azure cloud services. You should have a minimum of 5 years of hands-on experience in the field and hold either the Microsoft Azure AI Engineer Associate or Microsoft Azure Data Scientist Associate certification. Your role will involve collaborating with business stakeholders, data engineers, and product teams to deliver scalable and production-ready AI solutions that drive business value and growth. Key Responsibilities - Design and deploy AI/ML models using Azure AI/ML Studio, Azure Machine Learning, and Azure Cognitive Services. - Implement and manage data pipelines for model training workflows and ML lifecycle within the Azure ecosystem. - Work closely with business stakeholders to gather requirements, analyze data, and provide predictive insights. - Collaborate with data engineers and product teams to ensure the delivery of scalable and production-ready AI solutions. - Establish and maintain best practices for model monitoring, versioning, governance, and responsible AI practices. - Contribute to solution documentation and technical architecture. - Design AI agents using Azure stack tools such as Autogen, PromptFlow, ML Studio, AI Foundry, AI Search, LangChain, and LangGraph. Required Skills & Qualifications - Minimum of 5 years of hands-on experience in AI/ML, data science, or machine learning engineering. - Mandatory Certification: Microsoft Azure AI Engineer Associate OR Microsoft Azure Data Scientist Associate. - Strong knowledge of Azure services including Azure Machine Learning, Cognitive Services, Azure Functions, AI Foundry, and Azure Storage. - Proficiency in Python and experience with ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar. - Solid understanding of data science lifecycle, model evaluation, and performance optimization. - Experience with version control tools like Git and deployment through CI/CD pipelines. - Excellent problem-solving and communication skills. - Strong experience in building AI Agents. - Familiarity with LLMs, prompt engineering, or GenAI tools (Azure OpenAI, Hugging Face, Vector Databases, etc.). Good To Have - Experience with Power BI or other data visualization tools. - Exposure to MLOps tools and practices. If you are passionate about leveraging AI/ML to drive business transformation and meet organizational objectives, we encourage you to apply for this position and be part of our dynamic team at Optimum Data Analytics.,

Responsibilities Design and fine-tune LLMs (Large Language Models) for BFSI use-cases: intelligent document processing, report generation, chatbots, advisory tools. Evaluate and apply prompt engineering, retrieval-augmented generation (RAG), and fine-tuning methods. Implement safeguards, red-teaming, and audit mechanisms for LLM usage in BFSI. Work with data privacy, legal, and compliance teams to align GenAI outputs with industry regulations. Collaborate with enterprise architects to integrate GenAI into existing digital platforms. Qualifications 35 years in AI/ML; 13 years hands-on in GenAI/LLM-based solutions. BFSI-specific experience in document processing, regulatory reporting, or virtual agents using GenAI is highly preferred. Exposure to prompt safety, model alignment, and RAG pipelines is critical. Essential Skills Tech Stack LLMs: GPT (OpenAI), Claude, LLaMA, Mistral, Falcon Tools: LangChain, LlamaIndex, Pinecone, Weaviate Frameworks: Transformers (Hugging Face), PEFT, DeepSpeed APIs: OpenAI, Cohere, Anthropic, Azure OpenAI Cloud: GCP GenAI Studio, GCP Vertex AI Others: Prompt engineering, RAG, vector databases, role-based guardrails Experience 35 years in AI/ML; 13 years hands-on in GenAI/LLM-based solutions. Show more Show less

As a Senior Data Scientist I at Dotdash Meredith, you will collaborate with the business team to understand problems, objectives, and desired outcomes. Your primary responsibility will be to work with cross-functional teams to assess data science use cases & solutions, lead and execute end-to-end data science projects, and collaborate with stakeholders to ensure alignment of data solutions with business goals. You will be expected to build custom data models with an initial focus on content classification, utilize advanced machine learning techniques to improve model accuracy and performance, and build necessary visualizations to interpret data models by business teams. Additionally, you will work closely with the engineering team to integrate models into production systems, monitor model performance in production, and make improvements as necessary. To excel in this role, you must possess a Masters degree (or equivalent experience) in Data Science, Mathematics, Statistics, or a related field with 3+ years of experience in ML/Data Science/Predictive-Analytics. Strong programming skills in Python and experience with standard data science tools and libraries are essential. Experience or understanding of deploying machine learning models in production on at least one cloud platform is required, and hands-on experience with LLMs API and the ability to craft effective prompts are preferred. It would be beneficial to have experience in the Media domain, familiarity with vector databases like Milvus, and E-commerce or taxonomy classification experience. In this role, you will have the opportunity to learn about building ML models using industry-standard frameworks, solving Data Science problems for the media industry, and the use of Gen AI in Media. This position is based in Eco World, Bengaluru, with shift timings from 1 p.m. to 10 p.m. IST. If you are a bright, engaged, creative, and fun individual with a passion for data science, we invite you to join our inspiring team at Dotdash Meredith India Services Pvt. Ltd.,

You should have a Bachelor's degree in Computer Science, Engineering, or a related field along with a minimum of 4 years of hands-on experience in MS SQL Server, Oracle, or PostgreSQL development. Your expertise should include writing complex Stored Procedures and SQL Queries, as well as experience in performance tuning of such procedures and queries. You must have a strong command of Dynamic SQL, Table Type Variables, Temporary Tables, and good knowledge in handling JSON in databases. It is essential to have a proven ability to work with large and complex relational database systems. You should possess a solid understanding of the software development life cycle and database design principles, along with strong analytical, debugging, and troubleshooting skills. The ability to work independently, manage tasks with minimal supervision, prioritize tasks, handle escalations, and collaborate with distributed teams is crucial. You should be comfortable coordinating with onsite stakeholders for requirements gathering and delivery, and be willing to work extended hours when needed. Additionally, exposure to NoSQL, Vector Databases, and Graph Databases with a willingness to learn new technologies is a plus. Experience in leading a small development team or mentoring junior developers for 12 years is considered a good-to-have skill. Your responsibilities will include designing, developing, and maintaining relational database systems for high-performance applications. You will write and optimize complex queries and stored procedures, participate in database design, data warehouse structuring, and schema optimization. Collaborating closely with development teams to integrate backend database logic with front-end applications, performing query tuning and performance optimization, troubleshooting and resolving issues in existing SQL code or database structures, and documenting database structures, procedures, and configuration changes clearly and accurately are also part of your role.,

Solution Architect (India) Work Mode: Remote/ Hybrid Required exp: 10+ years Shift timing: Minimum 4 hours overlap required with US time Role Summary: The Solution Architect is responsible for designing robust, scalable, and high- performance AI and data-driven systems that align with enterprise goals. This role serves as a critical technical leaderbridging AI/ML, data engineering, ETL, cloud architecture, and application development. The ideal candidate will have deep experience across traditional and generative AI, including Retrieval- Augmented Generation (RAG) and agentic AI systems, along with strong fundamentals in data science, modern cloud platforms, and full-stack integration. Key Responsibilities: ? Design and own the end-to-end architecture of intelligent systems including data ingestion (ETL/ELT), transformation, storage, modeling, inferencing, and reporting. ? Architect GenAI-powered applications using LLMs, vector databases, and RAG pipelines; Agentic Workflow, integrate with enterprise knowledge graphs and document repositories. ? Lead the design and deployment of agentic AI systems that can plan, reason, and interact autonomously within business workflows. ? Collaborate with cross-functional teams including data scientists, data engineers, MLOps, and frontend/backend developers to deliver scalable and maintainable solutions. ? Define patterns and best practices for traditional ML and GenAI projects, covering model governance, explainability, reusability, and lifecycle management. ? Ensure seamless integration of ML/AI systems via RESTful APIs with frontend interfaces (e.g., dashboards, portals) and backend systems (e.g., CRMs, ERPs). ? Architect multi-cloud or hybrid cloud AI solutions, leveraging services from AWS, Azure, or GCP for scalable compute, storage, orchestration, and deployment. ? Provide technical oversight for data pipelines (batch and real-time), data lakes, and ETL frameworks ensuring secure and governed data movement. ? Conduct architecture reviews, mentor engineering teams, and drive design standards for AI/ML, data engineering, and software integration. Qualifications : ? Bachelors or Masters degree in Computer Science, Engineering, or a related field. ? 10+ years of experience in software architecture, including at least 4 years in AI/ML-focused roles. Required Skills: ? Expertise in machine learning (regression, classification, clustering), deep learning (CNNs, RNNs, transformers), and NLP. ? Experience with Generative AI frameworks and services (e.g., OpenAI, LangChain, Azure OpenAI, Amazon Bedrock). ? Strong hands-on Python skills, with experience in libraries such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch. ? Proficiency in RESTful API development and integration with frontend components (React, Angular, or similar is a plus). ? Deep experience in ETL/ELT processes using tools like Apache Airflow, Azure Data Factory, or AWS Glue. ? Strong knowledge of cloud-native architecture and AI/ML services on either one of the cloud AWS, Azure, or GCP. ? Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and semantic search patterns.? Experience in deploying and managing ML models with MLOps frameworks (MLflow, Kubeflow). ? Understanding of microservices architecture, API gateways, and container orchestration (Docker, Kubernetes). ? Having forntend exp is good to have. Show more Show less

Webfries is a forward-thinking tech company leading the way in AI innovation, creating intelligent solutions that revolutionize industries. We are currently looking for a skilled AI Engineer to join our dynamic team and contribute to shaping the future of AI-driven applications. If you are enthusiastic about utilizing cutting-edge technologies to address intricate challenges, we are eager to hear from you! As an AI Engineer at Webfries, your role involves bridging the gap between AI research and production-ready systems. You will be responsible for designing, developing, and deploying AI models, ensuring seamless integration with a robust backend infrastructure. Your proficiency in prompt engineering, Cursor (AI-assisted code editor), PostgreSQL, Python, and FastAPI will be essential for delivering scalable and high-performing solutions. Staying updated on industry trends, particularly advancements in LLMs, vector databases, and MLOps, is crucial for this position. Key Responsibilities: Prompt Engineering & LLM Optimization: - Design, test, and refine prompts for large language models like GPT-4, Claude, Deepseek, and Gemini to achieve optimal performance. - Implement retrieval-augmented generation (RAG) and fine-tuning strategies for domain-specific tasks. AI Model Development: - Build, train, and deploy machine learning models such as NLP and computer vision using PyTorch/TensorFlow. - Collaborate with data scientists to prototype and iterate on AI solutions. Backend Development: - Develop RESTful APIs with FastAPI to serve AI models at scale. - Optimize database interactions using PostgreSQL and ORM tools like SQLAlchemy. Tooling & Automation: - Utilize Cursor to streamline coding workflows, debug efficiently, and maintain code quality. - Integrate tools such as LangChain, Pinecone, or Hugging Face into production pipelines. Market & Trend Analysis: - Stay informed about AI advancements such as generative AI and vector search, and suggest innovative solutions. - Evaluate new tools/libraries to enhance our tech stack. Requirements: - Bachelors/Masters in Computer Science, Engineering, or a related field. - 3+ years of hands-on experience in AI/ML engineering. - Proficiency in Python, PostgreSQL, and FastAPI. - Expertise in prompt engineering and LLMs like OpenAI and Anthropic. - Experience using Cursor for code optimization and pair programming. - Strong understanding of cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). - Familiarity with version control systems (Git) and CI/CD pipelines. Preferred Qualifications: - Certifications in AI/ML such as AWS ML Specialty or TensorFlow Developer. - Experience with vector databases like Pinecone or Chroma, and MLOps tools like MLflow or TFX. - Contributions to open-source AI projects or publications in ML conferences. What We Offer: - Competitive salary + equity based on experience. - Flexible remote/hybrid work model. - Access to cutting-edge AI tools and training resources. - Collaborative, innovation-driven environment. - Professional development budget for conferences/courses. How to Apply: If you are interested in this position, please send your resume, portfolio (GitHub/GitLab), and a brief cover letter to careers@webfries.com with the subject line "AI Engineer Application [Your Name]." In your cover letter, highlight a project where you used prompt engineering to solve a complex problem. Please note that we are not currently offering internships to students or recent graduates.,

As a Python Backend Engineer specializing in AWS with a focus on GenAI & ML, you will be responsible for designing, developing, and maintaining intelligent backend systems and AI-driven applications. Your primary objective will be to build and scale backend systems while integrating AI/ML models using Django or FastAPI. You will deploy machine learning and GenAI models with frameworks like TensorFlow, PyTorch, or Scikit-learn, and utilize Langchain for GenAI pipelines. Experience with LangGraph will be advantageous in this role. Collaboration with data scientists, DevOps, and architects is essential to integrate models into production. You will be working with AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment purposes. Additionally, managing CI/CD pipelines for backend and model deployments will be a key part of your responsibilities. Ensuring the performance, scalability, and security of applications in cloud environments will also fall under your purview. To be successful in this role, you should have at least 5 years of hands-on experience in Python backend development and a strong background in building RESTful APIs using Django or FastAPI. Proficiency in AWS cloud services is crucial, along with a solid understanding of ML/AI concepts and model deployment practices. Familiarity with ML libraries like TensorFlow, PyTorch, or Scikit-learn is required, as well as experience with Langchain for GenAI applications. Experience with DevOps tools such as Docker, Kubernetes, Git, Jenkins, and Terraform will be beneficial. An understanding of microservices architecture, CI/CD workflows, and agile development practices is also desirable. Nice to have skills include knowledge of LangGraph, LLMs, embeddings, and vector databases, as well as exposure to OpenAI APIs, AWS Bedrock, or similar GenAI platforms. Additionally, familiarity with MLOps tools and practices for model monitoring, versioning, and retraining will be advantageous. This is a full-time, permanent position with benefits such as health insurance and provident fund. The work location is in-person, and the schedule involves day shifts from Monday to Friday in the morning. If you are interested in this opportunity, please contact the employer at +91 9966550640.,

Role: DevOps Open-AI Azure Location: Bangalore, Chennai, Pune, Hyderabad. Work mode: Hybrid Exp: 9+ Required Qualifications: Bachelors degree in Computer Science, Engineering, or a related technical field (or equivalent experience). 8+ years of experience in DevOps, SRE, or Cloud Engineering roles. Strong expertise with Azure cloud services and automation tools. Proficient in Infrastructure as Code (Terraform, Bicep, ARM). Deep understanding of CI/CD tools and methodologies. Experience managing data pipelines and distributed systems in production environments. Familiarity with AI/ML workflows, including vector databases and LLM APIs. Proficient in scripting languages such as Python, Bash, or PowerShell. if you are interested, please share updated resume to [HIDDEN TEXT] Show more Show less

As a Senior Data Scientist, you will utilize your expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to design, develop, and deploy advanced AI/ML models. Your role will involve solving complex business problems by building, training, and optimizing AI models using Python and relevant ML frameworks. You will implement Azure AI/ML services for scalable deployment and integrate APIs for real-time model inference. Working with large-scale data, you will extract insights to drive strategic initiatives and collaborate with cross-functional teams to integrate AI/ML solutions into applications. Your responsibilities will include designing and developing ML, NLP, and GenAI models, implementing Azure AI/ML services, developing APIs for model deployment, and working with large-scale data to extract insights. You will collaborate with cross-functional teams, implement CI/CD pipelines, ensure adherence to software engineering best practices, stay updated on AI/ML advancements, conduct research on emerging trends, provide technical mentorship, and optimize model performance in a production environment. To excel in this role, you must have proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn, hands-on experience in NLP techniques, expertise in Generative AI models, knowledge of Azure AI/ML services, and experience in developing APIs for model deployment. Familiarity with CI/CD pipelines, software engineering principles, Agile methodologies, statistical analysis, data mining, and data visualization is essential. Preferred qualifications include experience in MLOps, knowledge of vector databases, and exposure to big data processing frameworks. Joining our team as a Senior Data Scientist will offer you a full-time or part-time permanent position with benefits such as health insurance and provident fund. You will work day shifts from Monday to Friday with weekend availability and have the opportunity for performance bonuses. With a minimum of 8 years of experience in Python, Azure AI/ML services, and Senior Data Scientist roles, you will contribute to innovative solutions and drive data-driven decision-making in a collaborative environment.,

We are looking for a highly skilled and experienced Senior AI Engineer to take charge of designing, developing, and implementing cutting-edge AI systems. Your role will involve working on advanced machine learning models, natural language processing, computer vision, and AI infrastructure to address real-world challenges and foster innovation across our products and services. As a Senior AI Engineer, your key responsibilities will include designing, developing, and deploying scalable AI/ML models for production environments. You will lead end-to-end AI project lifecycles, starting from data collection and preprocessing to model training, evaluation, and deployment. Collaboration with cross-functional teams comprising data scientists, software engineers, and product managers will be essential. Moreover, you will be tasked with optimizing model performance to ensure robustness, fairness, and explainability, while staying abreast of the latest AI and machine learning research and advancements. Mentoring junior engineers and contributing to the establishment of a robust AI engineering culture will also be part of your role. The ideal candidate should possess a Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred) along with a minimum of 5 years of experience in AI/ML engineering, showcasing a strong portfolio of deployed models. Proficiency in Python and ML libraries like TensorFlow, PyTorch, Scikit-learn, etc., as well as experience with cloud platforms (AWS, Azure) and MLOps tools are required. A solid grasp of data structures, algorithms, and software engineering principles is crucial, along with excellent problem-solving and communication skills. Preferred qualifications for this role include experience with LLMs, RAG, or agentic AI (Crew AI) systems, familiarity with vector databases, prompt engineering, and AI safety practices, contributions to open-source AI projects or published research papers, and experience with real-time inference systems and edge AI.,

As a Senior Software Engineer in the Developer Experience and Productivity Engineering team at Coupa, you will play a crucial role in designing, implementing, and enhancing our sophisticated AI orchestration platform. Your primary responsibilities will revolve around architecting AI and MCP tools architecture with a focus on scalability and maintainability, developing integration mechanisms for seamless connectivity between AI platforms and MCP systems, and building secure connectors to internal systems and data sources. You will have the opportunity to collaborate with product managers to prioritize and implement features that deliver significant business value. Additionally, you will mentor junior engineers, contribute to engineering best practices, and work on building a scalable, domain-based hierarchical structure for our AI platforms. Your role will involve creating specialized tools tailored to Coupa's unique operational practices, implementing secure knowledge integration with AWS RAG and Knowledge Bases, and designing systems that expand capabilities while maintaining manageability. In this role, you will get to work at the forefront of AI integration and orchestration, tackling complex technical challenges with direct business impact. You will collaborate with a talented team passionate about AI innovation and help transform how businesses leverage AI for operational efficiency. Furthermore, you will contribute to an architecture that scales intelligently as capabilities grow, work with the latest LLM technologies, and shape their application in enterprise environments. To excel in this position, you should possess at least 5 years of professional software engineering experience, be proficient in Python and RESTful API development, and have experience in building and deploying cloud-native applications, preferably on AWS. A solid understanding of AI/ML concepts, software design patterns, system architecture, and performance optimization is essential. Additionally, you should have experience with integrating multiple complex systems and APIs, strong problem-solving skills, attention to detail, and excellent communication abilities to explain complex technical concepts clearly. Preferred qualifications include experience with AI orchestration platforms or building tools for LLMs, knowledge of vector databases, embeddings, and RAG systems, familiarity with monitoring tools like New Relic, observability patterns, and SRE practices, and experience with DevOps tools like Jira, Confluence, GitHub, or similar tools and their APIs. Understanding security best practices for AI systems and data access, previous work with domain-driven design and microservices architecture, and contributions to open-source projects or developer tools are also advantageous. Coupa is committed to providing equal employment opportunities to all qualified candidates and employees, fostering a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or performance evaluation are made fairly, in compliance with relevant laws and regulations. Please note that inquiries or resumes from recruiters will not be accepted. By applying to this position, you acknowledge that Coupa collects your application, including personal data, for managing ongoing recruitment and placement activities, as well as for employment purposes if your application is successful. You can find more information about how your application is processed, the purposes of processing, and data retention in Coupa's Privacy Policy.,

You will be joining a technology-driven publishing and legal-tech organization that is currently enhancing its capabilities through advanced AI initiatives. As an experienced AI Solution Architect, your role will involve leading the design, development, and deployment of transformative AI projects. You will work closely with a proficient internal team skilled in .NET, MERN, MEAN stacks, and recent chatbot development using OpenAI and LLaMA. Your responsibilities will include architecting, planning, and delivering enterprise-grade AI solutions utilizing Vector Databases like FAISS and Chroma, RAG Pipelines (Retrieval-Augmented Generation), and LLM techniques such as Pre-training, Fine-tuning, and RLHF (Reinforcement Learning with Human Feedback). You will lead AI solution design discussions, collaborate with engineering teams to integrate AI modules into systems, and guide junior AI engineers and developers on technical aspects. To excel in this role, you should hold a Bachelors or Masters in Computer Science, Engineering, AI/ML, or related fields and have 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, RLHF techniques, and working with multi-tech teams is essential. Strong command over architecture principles, scalability, microservices, API-based integration, and excellent team leadership skills are also required. It would be advantageous if you have experience with tools like MLflow, Weights & Biases, Docker, Kubernetes, Azure/AWS AI services, exposure to data pipelines, MLOps, AI governance, familiarity with enterprise software lifecycle, and DevSecOps practices. Prior experience in delivering a production-grade AI/NLP project with measurable impact is a plus. Stay updated on emerging AI trends and assess their relevance to business objectives to drive AI adoption across products and internal processes.,

About Us Thoucentric provides end-to-end consulting solutions to tackle diverse business challenges across industries. With a focus on leveraging deep domain expertise, cutting-edge technology, and a results-driven approach, we assist organizations in optimizing operations, improving decision-making, and fostering growth. Headquartered in Bangalore, we have a global presence in India, US, UK, Singapore, and Australia. Our services span Business Consulting, Program & Project Management, Digital Transformation, Product Management, Process & Technology Solutioning, and Execution, encompassing areas such as Analytics & Emerging Tech in functional domains like Supply Chain, Finance & HR, Sales & Distribution. We pride ourselves on executing solutions rather than just offering advice, collaborating with leading names in the CPG industry, tech sector, and start-up ecosystem. Recognized as a "Great Place to Work" by AIM and ranked among the "50 Best Firms for Data Scientists to Work For", we boast a seasoned consulting team of over 500 professionals across six global locations. Job Description About the Role We are in search of a BI Architect to support the BI Lead of a global CPG organization by designing an intelligent and scalable Business Intelligence ecosystem. The role involves crafting an enterprise-wide KPI dashboard suite enhanced by a GenAI-powered natural language interface for insightful exploration. Responsibilities - Architect BI Stack: Develop and supervise a scalable and efficient BI platform serving as the central source for critical business metrics across functions. - Advise BI Lead: Collaborate as a technical advisor to the BI Lead, ensuring alignment of architecture decisions with long-term strategies and business priorities. - Design GenAI Layer: Create a GenAI-driven natural language interface for BI dashboards to enable conversational querying of KPIs, trends, and anomalies by business users. - RAG/Graph Approach: Implement suitable architectures like RAG with vector stores or Knowledge Graphs to deliver intelligent, context-rich insights. - External Data Integration: Establish mechanisms for organizing and integrating data from external sources (e.g., competitor websites, industry reports) to enhance internal insights. - Security & Governance: Maintain adherence to enterprise data governance, security, and compliance standards across all layers (BI + GenAI). - Cross-functional Collaboration: Engage closely with Data Engineering, Analytics, and Product teams to ensure seamless integration and operationalization of the BI ecosystem. Requirements Qualifications - 9 years of BI architecture and analytics platform experience, with at least 2 years focused on GenAI, RAG, or LLM-based solutions. - Profound expertise in BI tools (e.g., Power BI, Tableau, Looker) and data modeling. - Familiarity with GenAI frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector databases (e.g., Pinecone, FAISS, Weaviate). - Knowledge of graph-based data models and tools (e.g., Neo4j, RDF, SPARQL) is advantageous. - Proficiency in Python or relevant scripting language for pipeline orchestration and AI integration. - Experience in web scraping and structuring external/third-party datasets. - Previous exposure to CPG domain or large-scale KPI dashboarding is preferred. Benefits Joining Thoucentric as a Consultant offers: - Opportunity to shape your career path independently. - Engaging consulting environment working with Fortune 500 companies and startups. - Supportive and dynamic workplace fostering personal growth. - Inclusive culture with opportunities for bonding beyond work. - Participation in Thoucentric's growth journey. Skills Required: BI architecture, Analytics, Data Visualization Practice Name: Data Visualization Date Opened: 07/15/2025 Work Mode: Hybrid Job Type: Full time Industry: Consulting Corporate Office: Thoucentric, The Hive, Mahadevapura, Bengaluru, Karnataka, India, 560048,

As an AI / ML Engineer, you will be responsible for utilizing your expertise in the field of Artificial Intelligence and Machine Learning to develop innovative solutions. You should hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or a related field. With a minimum of 6 years of experience in AI/ML, you are expected to demonstrate proficiency in Python and various ML libraries such as scikit-learn, XGBoost, pandas, NumPy, matplotlib, and seaborn. In this role, you will need a strong understanding of machine learning algorithms and deep learning architectures including CNNs, RNNs, and Transformers. Hands-on experience with TensorFlow, PyTorch, or Keras is essential. You should also have expertise in data preprocessing, feature selection, exploratory data analysis (EDA), and model interpretability. Additionally, familiarity with API development and deploying models using frameworks like Flask, FastAPI, or similar tools is required. Experience with MLOps tools such as MLflow, Kubeflow, DVC, and Airflow will be beneficial. Knowledge of cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML is preferred. Proficiency in version control using Git, CI/CD processes, and containerization with Docker is essential for this role. Bonus skills that would be advantageous include familiarity with NLP frameworks (e.g., spaCy, NLTK, Hugging Face Transformers), Computer Vision experience using OpenCV or YOLO/Detectron, and knowledge of Reinforcement Learning or Generative AI (GANs, LLMs). Experience with vector databases such as Pinecone or Weaviate, as well as LangChain for AI agent building, is a plus. Familiarity with data labeling platforms and annotation workflows will also be beneficial. In addition to technical skills, you should possess soft skills such as an analytical mindset, strong problem-solving abilities, effective communication, and collaboration skills. The ability to work independently in a fast-paced, agile environment is crucial. A passion for AI/ML and a proactive approach to staying updated with the latest developments in the field are highly desirable for this role.,

You will be joining Jetbro, a dynamic digital agency that specializes in bespoke development solutions for websites, mobile applications, and business applications. The company is at the forefront of AI-driven projects, offering innovative and cutting-edge solutions to its clients. As the company continues to expand, they are looking for a skilled AI Engineer to build and maintain high-performance, scalable systems. Your responsibilities will include integrating and orchestrating OpenAI, Gemini, and other LLM APIs to power features such as Essay & Recommendation Brainstorming (Voice & Text), AI-driven Evaluation and Scoring, and Contextual, voice-based guidance via Ivy (Text-to-Speech + prompt control). You will also be tasked with building and fine-tuning prompt-response workflows, input-output schemas, fallback handling, and session management. Additionally, you will need to convert speech inputs to structured text using Speech-to-Text APIs, and implement Text-to-Speech outputs for voice-based interactions. Setting up and managing Vector Databases (e.g., Pinecone, Weaviate, AstraDB) to store and retrieve semantically indexed essay data will also be part of your role. Collaboration with backend, frontend, and QA teams to ensure smooth flow of AI-driven features across the platform is essential. Furthermore, you will be responsible for evaluating and continuously improving AI output quality by testing prompt variations and refining scoring logic. Mandatory requirements for this position include 1.5 years of hands-on experience building with LLM APIs (OpenAI, Gemini, Claude, etc.), a strong grasp of prompt engineering, including role prompting, temperature control, and context design, experience working with Python and integrating APIs in live products, familiarity with Text-to-Speech and Speech-to-Text workflows (OpenAI Whisper, Google Cloud STT/TTS, etc.), exposure to using or querying Vector Databases (e.g., Pinecone or similar), and basic understanding of AI evaluation techniques (prompt tuning, hallucination handling, response scoring). Good to have qualifications include experience with LangChain, LlamaIndex, or agent frameworks, working knowledge of FastAPI or Django to support backend integration, familiarity with Voice UX or chatbot design, comfort with versioning tools (Git), JSON handling, and API testing tools (Postman), and demonstrated ability to iterate quickly and adapt to changing LLM capabilities. In return, you can expect to work on mission-critical, real-world projects that impact large-scale operations at Jetbro. The company has a lean, no-nonsense tech culture built on ownership, accountability, and growth, with direct access to decision-makers and no red tape. You will enjoy flexibility in work location and timings, regular feedback, performance reviews, and learning opportunities.,

As a Sales Lead with a focus on Generative AI solutions, you will play a crucial role in driving sales for our cutting-edge AI offerings, which include large language models (LLMs), retrieval-augmented generation (RAG), vector databases, and AI agents. Your expertise in technology and sales will be instrumental in translating complex AI capabilities into tangible business value, thereby influencing the future landscape of enterprise AI adoption. Your responsibilities will involve prospecting, pitching, and closing high-level AI deals with enterprise clients. Additionally, you will lead discovery sessions, conduct technical demos, and map solutions to cater to the specific needs of each client. By effectively showcasing the capabilities of our Generative AI solutions, you will demonstrate clear return on investment (ROI) to clients across various industries. Collaboration with product and engineering teams will be essential to customize solutions according to client requirements. Moreover, you will be responsible for managing your sales pipeline efficiently, utilizing tools such as HubSpot or Salesforce. To excel in this role, you should have a minimum of 6 years of experience in B2B tech sales, consulting, or solution selling. A solid understanding of LLMs, RAG pipelines, and vector databases like Pinecone and Weaviate is necessary. Your ability to communicate effectively, bridging the gap between technical intricacies and business benefits, will be critical. Being a proactive self-starter with a customer-centric approach and proficient CRM skills will set you up for success in this position. Previous experience in selling AI/ML platforms or working in sectors like fintech, healthcare, or retail would be considered a bonus. If you are enthusiastic about leveraging advanced AI technologies to drive business growth and are adept at navigating the complexities of enterprise sales, this role offers you a unique opportunity to make a significant impact in the realm of AI adoption within organizations.,

We are looking for a highly skilled and innovative Test Engineer with a strong focus on Artificial Intelligence and Machine Learning to join our team. You will play a key role in ensuring the quality, reliability, and performance of our cutting-edge AI/ML products and solutions. Your expertise with AI tools, Large Language Models, Computer Vision Models, and Generative AI Techniques will be essential in designing and implementing comprehensive testing strategies. This position offers a unique opportunity to work at the forefront of AI technology and contribute to high-impact developments. Your responsibilities will include: - Designing, developing, and executing comprehensive test plans and test cases for evaluating AI/ML model performance. - Conducting evaluations of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems using innovative methodologies. - Assessing the quality of retrieved information and detecting potential issues in RAG systems. - Evaluating the performance of computer vision models using relevant metrics. - Architecting and implementing robust evaluation frameworks and metrics for assessing AI model performance. - Developing custom evaluation scripts and tools using Python and relevant AI/ML libraries. - Implementing Generative AI-driven solutions to enhance testing processes. - Designing and maintaining automated test scripts to streamline testing of AI-powered features. - Integrating AI-driven test automation into CI/CD pipelines for continuous quality assurance. Qualifications: - Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, or related field. - 3+ years of experience as a Test Engineer with a focus on testing AI/ML models. - Hands-on experience evaluating Large Language Models, RAG systems, and computer vision models. - Strong background in designing evaluation frameworks for AI model performance. - Proficiency in Python and AI/ML libraries for test script development. - Experience with test automation frameworks and CI/CD implementation. - Knowledge of test and defect management tools. - Familiarity with Agile development environments. - Relevant certifications in AI/ML or software testing. If you are passionate about AI technology and have the required expertise, we invite you to join our team and make a significant impact on our AI/ML testing processes.,

You are a Generative AI Software Engineer with over 3 years of experience, possessing strong expertise in Generative AI and Large Language Models (LLMs). Your role involves designing, developing, and implementing GenAI solutions customized to address various business challenges. It is crucial that you excel in Python programming and have hands-on experience in Retrieval-Augmented Generation (RAG) along with familiarity with Vector Databases. Your responsibilities include using Python to design and implement scalable GenAI solutions, leading the design and architecture of AI-driven solutions, working with Large Language Models (LLMs) for building customized solutions, and developing AI models that handle both text and speech data. You will also apply similarity search algorithms in vector space, leverage NLP techniques and LLMs to build conversational chatbots, and utilize vector databases for efficient data management in AI applications. Additionally, you will implement Retrieval-Augmented Generation (RAG) pipelines, develop ETL pipelines for data flow and preparation, conduct experiments and evaluations for optimal AI model performance, and ensure compliance with data privacy, security, and ethical standards. Your role also involves contributing to front-end development using React.js to build user interfaces for AI applications. It is essential that you are open to working in an agile and flexible environment, possess excellent presentation skills to engage with business users, and provide expert solutions to project issues for optimal service delivery and client satisfaction. Your willingness to learn new skills and technologies will be beneficial in this role.,

As a LLM Engineer at HuggingFace, you will play a crucial role in bridging the gap between advanced language models and real-world applications. Your primary focus will be on fine-tuning, evaluating, and deploying LLMs using frameworks such as HuggingFace and Ollama. You will be responsible for developing React-based applications with seamless LLM integrations through REST, WebSockets, and APIs. Additionally, you will work on building scalable pipelines for data extraction, cleaning, and transformation, as well as creating and managing ETL workflows for training data and RAG pipelines. Your role will also involve driving full-stack LLM feature development from prototype to production. To excel in this position, you should have at least 2 years of professional experience in ML engineering, AI tooling, or full-stack development. Strong hands-on experience with HuggingFace Transformers and LLM fine-tuning is essential. Proficiency in React, TypeScript/JavaScript, and back-end integration is required, along with comfort working with data engineering tools such as Python, SQL, and Pandas. Familiarity with vector databases, embeddings, and LLM orchestration frameworks is a plus. Candidates with experience in Ollama, LangChain, or LlamaIndex will be given bonus points. Exposure to real-time LLM applications like chatbots, copilots, or internal assistants, as well as prior work with enterprise or SaaS AI integrations, are highly valued. This role offers a remote-friendly environment with flexible working hours and a high-ownership opportunity. Join our small, fast-moving team at HuggingFace and be part of building the next generation of intelligent systems. If you are passionate about working on impactful AI products and have the drive to grow in this field, we would love to hear from you.,

Details: Job Description Stefanini Group is a multinational company with a global presence in 41 countries and 44 languages, specializing in technological solutions. We believe in digital innovation and agility to transform businesses for a better future. Our diverse portfolio includes consulting, marketing, mobility, AI services, service desk, field service, and outsourcing solutions. Experience in Deep learning engineering (mostly on MLOps) Strong NLP/LLM experience and processing text using LLM Proficient in Pyspark/Databricks & Python programming. Building backend applications (data processing etc) using Python and Deep learning frame works. Deploying models and building APIS (FAST API, FLASK API) Need to have experience working with GPU&aposS. Working knowledge of Vector databases like 1) Milvus 2) azure cognitive search 3) quadrant etc Experience in transformers and working with hugging face models like llama, Mixtral AI and embedding models etc. Job Requirements Details: Good to have: Knowledge and experience in Kubernetes, docker etc. Cloud Experience working with VM&aposS and azure storage. Sound data engineering experience. Show more Show less

AI Architecture Lead Workflow Enablement Modular Tools and Infrastructure Location: Remote (Southeast Asia preferred) Reports to: Director of Development, Singapore Language: English (professional fluency required) Note: We are not able to offer visa sponsorship or relocation Job Description Help Shape an Adaptive System of AI Tools That Supports Real Work Were looking for someone who sees beyond individual tools; someone who can help shape how a growing collection of focused, AI-enabled utilities starts to work together across our global teams. This is regarding the enabling of practical solutions to real challenges each small, valuable, and human-centered. Over time, your work will guide how these pieces start to connect, align, and support one another in more powerful ways. Youll be joining a multidisciplinary environment where workplace strategy, design, engineering, and delivery teams are already experimenting with generative AI. Your role is to bring structure and foresight helping ensure these experiments evolve into a flexible, future-ready system. What Youll Work On Designing modular back-end logic that supports prompt-to-geometry, prompt-to-calculation, or prompt-to-output workflows Connecting GPT-style inputs with structured data, layout tools, and logic components in ways that scale Working across design, engineering, and project teams to ensure tools serve real-world delivery Identifying patterns, promoting reusability, and shaping shared foundations for internal AI tools Supporting integration of new tools without creating complexity or duplication What You Bring A platform mindset, grounded in realitynot everything needs to be built at once Experience designing systems that support modular logic, prompt interaction, and cross-functional use Comfort working with APIs, structured data formats, and lightweight service layers A strong sense of how generative tools are changing the way software, design, and engineering interact A clear communication style and collaborative working approach Technologies You May Use Python, TypeScript, or similar environments OpenAI API, LangChain, vector databases, RAG pipelines JSON, YAML, REST APIs Airflow, GitHub, cloud services (GCP, Azure, etc.) Tools that help define workflows, structure logic, and promote reusability Why This Role Matters Our teams are already building AI tools that serve specific needs. Whats missing is the connective layer and the thinking that allows these tools to speak the same language, use shared logic, and scale responsibly. Youll help guide that evolution. Not by dictating a fixed system, but by enabling a distributed one to take shape with enough structure to be coherent, and enough flexibility to adapt as we grow. Show more Show less

We are seeking a highly motivated GenAI Engineer with a strong background in working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) workflows, and production-ready AI applications. As a GenAI Engineer, you will be involved in designing, building, and expanding digital products and creative applications that capitalize on the latest LLM technologies available. In this role, you will take on a lead position in product development, offering AI services to clients, facilitating client onboarding, and delivering cutting-edge AI solutions. You will collaborate with a variety of modern AI tools, cloud services, and frameworks to achieve these objectives. Your key responsibilities will include designing and implementing generative AI solutions using LLMs, NLP, and computer vision, developing and scaling digital products with LLMs at their core, leading product development and operations teams to implement GenAI-based solutions, managing client onboarding and adoption strategies, delivering enhancements based on client-specific requirements, building and maintaining RAG pipelines and LLM-based workflows for enterprise applications, overseeing LLMOps processes throughout the AI lifecycle, working with cloud-based GenAI platforms such as Azure OpenAI, Google, and AWS, implementing API integrations, orchestration, and workflow automation, as well as evaluating, fine-tuning, and monitoring the performance of LLM outputs using observability tools. The ideal candidate will possess a Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent hands-on experience, along with a minimum of 2 years of practical experience in software development or applied machine learning. Proficiency in Azure AI services, including Azure OpenAI, Azure Cognitive Services, and Azure Machine Learning, is required. Additionally, the candidate should have proven experience with LLM APIs, hands-on experience in building and deploying RAG pipelines, proficiency in Python and its ecosystems and libraries, familiarity with core GenAI frameworks, experience with vector databases, practical knowledge of embeddings, model registries, LLM APIs, prompt engineering, tool/function calling, structured outputs, LLM observability tools, as well as strong Git, API, and cloud platform experience. This is a full-time position based in Mohali, Punjab, with on-site work mode and day shift timings from 10:00 AM to 7:00 PM, Monday to Friday. The interview mode will be face-to-face on-site, and interested candidates can contact +91-9872993778 for further information.,

As a Senior Engineer at our fast-growing eCommerce unicorn company, you will play a crucial role in spearheading the development of microservices-based applications on AWS. You will collaborate closely with business stakeholders and product teams to create secure, reliable, and maintainable solutions that contribute to our business success. Your responsibilities will include leading the design and implementation of microservices-based applications on AWS using services like Lambda, SQS, ECS, API Gateway, and DynamoDB. You will also design and develop RESTful APIs, integrate with third-party services including AI services, and work on solutions that leverage AI models for automation, personalization, and enhanced user experiences. Additionally, you will collaborate with DevOps teams to implement CI/CD pipelines, monitoring, and logging for seamless deployment and system reliability. Ensuring code quality by writing clean, testable, and maintainable code and staying updated with the latest industry trends and technologies will also be part of your role. To excel in this position, you should have at least 3 years of software engineering experience, with a focus on building cloud-native and AI-enhanced applications. Expertise in AWS services such as Lambda, ECS, S3, DynamoDB, API Gateway, and CloudFormation, as well as strong experience in Python, message queues, and asynchronous processing is required. Knowledge of microservices architecture, RESTful API design, event-driven systems, containerization technologies, relational and NoSQL databases, and excellent communication and leadership skills are essential. Having experience integrating AI/ML models using APIs, familiarity with vector databases and text embedding techniques for AI applications, and knowledge of monitoring and logging tools will be advantageous for this role. Join our team at Razor Group and be part of our mission to revolutionize the eCommerce world with a diverse portfolio of products across multiple continents. With a strong backing from renowned investors, we are expanding rapidly and have a significant presence across various locations globally. This is a full-time onsite position based in Hyderabad, India within the Tech & Analytics department.,

As a Senior AI/ML Engineer/Lead at our company located in Mohali, you will play a crucial role in leading the design, architecture, and delivery of complex AI/ML solutions. With over 8 years of experience, you will be responsible for developing and implementing machine learning models across various domains like NLP, computer vision, recommendation systems, classification, and regression. Your expertise will be utilized to integrate Large Language Models (LLMs) such as GPT, BERT, LLaMA, and other state-of-the-art transformer architectures into our enterprise-grade applications to drive innovation. Your key responsibilities will include selecting and implementing ML frameworks, tools, and cloud technologies that align with our business goals. You will lead AI/ML experimentation, PoCs, benchmarking, and model optimization initiatives while collaborating with data engineering, software development, and product teams to integrate ML capabilities seamlessly into production systems. Additionally, you will establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Your hands-on experience in the AI/ML domain, along with a proven track record of delivering production-grade ML systems, will be highly valued. Proficiency in machine learning algorithms, deep learning architectures, and advanced neural network design is essential. You should also possess expertise in LLMs, transformer-based models, prompt engineering, and embeddings, with strong programming skills in Python and familiarity with cloud platforms for scalable ML workloads. Having experience with MLOps tools and practices, such as MLflow, Kubeflow, SageMaker, or equivalent, will be beneficial. Furthermore, exposure to vector databases, real-time AI systems, edge AI, streaming data environments, and active contributions to open-source projects, research publications, or thought leadership in AI/ML will be advantageous. A certification in AI/ML would be a significant plus. If you are a self-driven individual with excellent leadership, analytical thinking, and communication skills, and if you are passionate about staying updated on AI advancements and championing their adoption in business use, we encourage you to apply for this exciting opportunity.,