649 Mistral Jobs - Page 6

CrewAI Engineer1 5–8 years of experience in AI/ML or automation engineering. Strong hands-on experience with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel. Proficiency in Python, including experience with async programming and API integration. Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering. Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and embeddings. Experience building and deploying production-ready agent-based solutions. Strong problem-solving skills and ability to translate business requirements into technical implementations.

Job Title: Gen AI Technical Lead/ Architect || Agentic AI || Immediate Joiners Only from Delhi NCR Experience: 8–14 Years Location: Noida/ Faridabad Work Mode: Full-time, Hybrid About the Role We are seeking an exceptional AI Architect with deep expertise in Agentic AI and Generative AI to lead the design, development, and deployment of next-generation autonomous AI systems. This role is pivotal in building LLM-powered agents , integrating memory, tool use, planning, and reasoning capabilities to create intelligent, goal-driven systems. As a technical leader, you will drive end-to-end AI initiatives—from cutting-edge research and architecture design to scalable deployment in cloud environments. Key Responsibilities Agentic AI Design & Implementation Architect and build LLM-based agents capable of autonomous task execution, memory management, tool usage, and multi-step reasoning. Develop modular, goal-oriented agentic systems using tools like LangChain , Auto-GPT , CrewAI , SuperAGI , and OpenAI Function Calling . Design multi-agent ecosystems with collaboration, negotiation, and task delegation capabilities. Integrate long-term and short-term memory (e.g., vector databases, episodic memory) into agents. Generative AI & Model Optimization Develop, fine-tune, and optimize foundation models (LLMs, diffusion models) using TensorFlow , PyTorch , or JAX . Apply model compression, quantization, pruning, and distillation techniques for deployment efficiency. Leverage cloud AI services such as AWS SageMaker , Azure ML , Google Vertex AI for scalable model training and serving. AI Research & Innovation Lead research in Agentic AI, LLM orchestration, and advanced planning strategies (e.g., ReAct, Tree of Thought, Reflexion, Autoformalism). Stay current with SOTA research; contribute to whitepapers, blogs, or top-tier conferences (e.g., NeurIPS, ICML, ICLR). Evaluate new architectures like BDI models , cognitive architectures (e.g., ACT-R, Soar), or neuro-symbolic approaches. Programming & Systems Engineering Strong coding proficiency in Python , CUDA , and TensorRT for model acceleration. Experience with distributed computing frameworks (e.g., Ray , Dask , Apache Spark ) for training large-scale models. Design and implement robust MLOps pipelines with Docker , Kubernetes , MLflow , and CI/CD systems. Required Skills & Qualifications 8–14 years of experience in AI/ML, with at least 2+ years hands-on with Agentic AI systems. Proven experience building, scaling, and deploying agent-based architectures. Strong theoretical foundation in machine learning, deep learning, NLP, and reinforcement learning. Familiarity with cognitive architectures, decision-making, and planning systems. Hands-on with LLM integration and fine-tuning (e.g., OpenAI GPT-4, Claude, LLaMA, Mistral, Gemini). Deep understanding of prompt engineering , function/tool calling , retrieval-augmented generation (RAG) , and memory management in agentic systems. Preferred (Nice to Have) Publications or open-source contributions in Agentic AI or Generative AI. Experience with simulation environments for training/test agents (e.g., OpenAI Gym, Unity ML-Agents). Knowledge of safety, ethics, and alignment in autonomous AI systems. About Damco: We are a global technology company with more than two decades of core IT experience. Our differentiators are technological prowess with unwavering back-end support on a wide range of technologies and industry-leading platforms. At Damco, we take pride in building innovative, efficient, and robust IT solutions for our clients. We match the client’s business goals with our technology expertise and immaculate execution capabilities to solve issues that matter to the end-user. Damco has developed hundreds of products and applications, redefined countless processes, built numerous technology teams and systems, and delivered significant financial results to customers from diverse verticals. We believe in empowering our people to perform and grow by offering opportunities, learning, and inspiration—to ‘act and accomplish’. If you are a self-starter looking for an open and collaborative work culture to excel in career, we are the place for you. Here is what you can expect from our work-culture.

Solution Architect – GenAI (Hands-On) Location : Gurgaon Commitment : Full-time | Future Equity + Profit share Company : OneOrg.ai – Superbrain of Modern Organizations by OriginBluy The Opportunity OneOrg.ai is on a mission to build sector-specific GenAI copilots that solve real business problems for Sales, HR, Compliance, and Leadership. Our product isn't just chat — it's contextual intelligence trained on internal company knowledge, powered by a robust RAG pipeline, and delivered with consumer-grade UX. We’re now hiring a hands-on Solution Architect who can roll up their sleeves, lead technical implementation across sectors, and build GenAI models from the ground up. Your Role This is not a manager role — it's a builder role with strategic impact . You’ll: Architect and deploy scalable GenAI solutions using RAG + LLMs Build custom LLM-based pipelines, fine-tune models on proprietary datasets Design and implement embedding strategies, chunking logic, and retrieval systems Own end-to-end delivery — from ingestion → indexing → query resolution → output formatting Evaluate and integrate open-source models (Mistral, LLaMA, K2, etc.) where relevant Benchmark OpenAI vs. open models vs. custom-trained ones Write clean, modular code in Python, and guide integration with backend systems Collaborate closely with our CTO, sector heads, and product teams Drive POCs for different verticals (starting with Pharma, BFSI, FMCG) Ideal Profile 5–7 years of experience in software development or ML engineering 1+ year hands-on experience with GenAI or LLM-based systems Deep understanding of vector stores (FAISS, Pinecone), embeddings, LangChain, Transformers Experience training or fine-tuning models (Hugging Face, LoRA, RAG, etc.) Strong with Python, APIs, system design Proven ability to go from whiteboard to working prototype quickly Exposure to MLOps or model monitoring is a bonus Comfortable working in a fast-paced startup environment Compensation Fixed salary + Profit Share + Equity in future rounds Competitive base (post-funding) An opportunity to create something truly new Why OneOrg.ai You're not just implementing — you're inventing You’ll help shape the future of how organizations use GenAI daily Fast-moving, founder-led team with product traction and real use cases Opportunity to lead engineering direction as we scale to 10+ sectors

As a Data Analytics focused Senior Software Engineer at PubMatic, you will be responsible for developing advanced AI agents to enhance data analytics capabilities. Your expertise in building and optimizing AI agents, along with strong skills in Hadoop, Spark, Scala, Kafka, Spark Streaming, and cloud-based solutions, will play a crucial role in improving data-driven insights and analytical workflows. Your key responsibilities will include building and implementing a highly scalable big data platform to process terabytes of data, developing backend services using Java, REST APIs, JDBC, and AWS, and building and maintaining Big Data pipelines using technologies like Spark, Hadoop, Kafka, and Snowflake. Additionally, you will design and implement real-time data processing workflows, develop GenAI-powered agents for analytics and data enrichment, and integrate LLMs into existing services for query understanding and decision support. You will work closely with cross-functional teams to enhance the availability and scalability of large data platforms and PubMatic software functionality. Participating in Agile/Scrum processes, discussing software features with product managers, and providing customer support over email or JIRA will also be part of your role. We are looking for candidates with three plus years of coding experience in Java and backend development, solid computer science fundamentals, expertise in developing software engineering best practices, hands-on experience with Big Data tools, and proven expertise in building GenAI applications. The ability to lead feature development, debug distributed systems, and learn new technologies quickly are essential. Strong interpersonal and communication skills, including technical communications, are highly valued. To qualify for this role, you should have a bachelor's degree in engineering (CS/IT) or an equivalent degree from well-known Institutes/Universities. PubMatic employees globally have returned to our offices via a hybrid work schedule to maximize collaboration, innovation, and productivity. Our benefits package includes paternity/maternity leave, healthcare insurance, broadband reimbursement, and office perks like healthy snacks, drinks, and catered lunches. About PubMatic: PubMatic is a leading digital advertising platform that provides transparent advertising solutions to publishers, media buyers, commerce companies, and data owners. Our vision is to enable content creators to run a profitable advertising business and invest back into the multi-screen and multi-format content that consumers demand.,

Line of Service Tax Industry/Sector Not Applicable Specialism Operations Management Level Associate Job Description & Summary At PwC, our people in tax services focus on providing advice and guidance to clients on tax planning, compliance, and strategy. These individuals help businesses navigate complex tax regulations and optimise their tax positions. In quantitative tax solutions and technologies at PwC, you will focus on leveraging data analytics and technology to develop innovative tax solutions. In this field, you will use quantitative methods to optimise tax processes and enhance decision-making for clients. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary : We are seeking a highly skilled and passionate Generative AI Engineer to join our dynamic team. As a Generative AI Engineer, you will be responsible for developing, implementing, and optimizing cutting-edge generative models to create innovative solutions in the area of content creation, document processing, code generation, etc. You will work closely with product managers to translate research into impactful products and services. Responsibilities: As an AI Engineer with experience of 3 to 4 years, you will be responsible for providing technical solution to Business problem. You need to deliver solutions with right quality on right time and with optimum cost. Model Development and Implementation: Strong understanding of deep learning concepts and techniques, particularly in generative models. Sound understanding of GenAI concepts like LLM, Langchain, RAG Framework, tokens, vector databases etc. Working knowledge of using any LLM platforms like OpenAI, Bedrock etc. and models like GPT, Llama, Claude, Mistral etc. Proficiency in programming languages such as Python. Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Proven experience in developing and deploying generative AI models. Experience with large-scale data processing and analysis. Experience working with different data modalities (e.g., images, text, audio). Model Development and Implementation: Design, develop, and train state-of-the-art generative models (e.g., GANs, VAEs, Transformers, Diffusion Models) for various applications. Implement and optimize deep learning architectures for efficient training and inference. Experiment with different model architectures, hyperparameters, and training techniques to improve performance. Collect, clean, and preprocess large datasets for training generative models. Evaluation and Optimization: Evaluate the performance of generative models using appropriate metrics and benchmarks. Identify and address performance bottlenecks and improve model efficiency. Conduct thorough testing and validation to ensure model reliability and robustness. Passion and ability to do quick POCs on various GenAI technologies and evaluate their effectiveness in the context of the project. Stay up-to-date with the latest advancements in generative AI and deep learning. Deployment and Maintenance: Deploy trained models to production environments. Monitor model performance and maintain model stability. Troubleshoot and resolve issues related to model deployment and performance. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and as part of a team. Passion for innovation and continuous learning. Mandatory Skill Sets: Gen AI Engineer Preferred Skill Sets: Gen AI Engineer Years Of Experience Required: 3 to 7 Yrs Education Qualification: B.Tech/M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field Of Study Preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Active Listening, Communication, Corporate Tax Planning, Data Analytics, Data Visualization, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Scenario Planning, Statistical Analysis, Statistical Theory, Tax Compliance, Tax Efficiency, Tax Modeling, Tax Preparation, Tax Research, Teamwork, Well Being Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Generative AI Engineer (Hands-on Development Role) Location: Winfo Solutions Job Type: Full-time Experience: 6-10 years Industry: IT Consulting About The Role We are looking for a Generative AI Engineer with strong software engineering skills and hands-on experience in developing AI-powered applications . This role involves coding AI-driven solutions, developing APIs, integrating models into products, and building scalable AI systems for production use. Key Responsibilities Develop AI-driven applications by integrating LLMs and generative models into real-world software solutions. Design and build APIs for LLMs and GenAI models (FastAPI, Flask, Django). Write production-ready code to integrate AI features into web applications, chatbots, document processing tools, and recommendation systems. Fine-tune and optimize LLMs (GPT, LLaMA, Gemini, Claude, Mistral) for performance in real-time applications. Develop AI-powered chatbots, document extraction tools, and automation systems using LangChain, Haystack, or Semantic Kernel. Implement vector search using FAISS, ChromaDB, or Pinecone for retrieval-augmented generation (RAG) applications. Work with databases (PostgreSQL, MongoDB, Redis) to manage AI-driven data workflows. Build scalable AI microservices and integrate them into enterprise applications. Collaborate with backend engineers, data engineers, and DevOps teams to ensure seamless deployment of AI models. Required Skills & Qualifications Bachelor’s or Master’s in Computer Science, Software Engineering, AI, or related field. 6+ years of experience in software development, AI engineering, or full-stack AI application development. Strong Python coding skills with experience in frameworks like FastAPI, Flask, Django. Hands-on experience developing APIs for AI models and integrating them into real-world applications. Experience with LLM APIs (OpenAI, Gemini, Claude, Mistral, etc.) and fine-tuning custom models. Strong knowledge of vector databases (FAISS, ChromaDB, Pinecone) for AI-powered search. Experience working with WebSockets, asynchronous programming, and RESTful APIs. Database experience with PostgreSQL, MongoDB, or Redis for AI-driven applications. Experience with MLOps pipelines (MLflow, Airflow, Prefect) for model retraining and monitoring. Good To Have Skills & Qualifications Familiarity with containerization (Docker, Kubernetes) and cloud-based AI deployments (AWS, GCP, Azure). Basics of probabilistic models, deep learning techniques, NLP, and embeddings.

Company Description Quantanite is a business process outsourcing (BPO) and customer experience (CX) solutions company that helps fast-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We’re an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed up with exceptional results. We have big dreams and are constantly looking for new colleagues to join us who share our values, passion, and appreciation for diversity Job Description About the Role We are seeking a highly skilled Senior AI Engineer with deep expertise in Agentic frameworks, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) systems, MLOps/LLMOps, and end-to-end GenAI application development. In this role, you will design, develop, fine-tune, deploy, and optimize state-of-the-art AI solutions across diverse enterprise use cases including AI Copilots, Summarization, Enterprise Search, and Intelligent Tool Orchestration. Key Responsibilities Develop and Fine-Tune LLMs (e.g., GPT-4, Claude, LLaMA, Mistral, Gemini) using instruction tuning, prompt engineering, chain-of-thought prompting, and fine-tuning techniques. Build RAG Pipelines: Implement Retrieval-Augmented Generation solutions leveraging embeddings, chunking strategies, and vector databases like FAISS, Pinecone, Weaviate, and Qdrant. Implement and Orchestrate Agents: Utilize frameworks like MCP, OpenAI Agent SDK, LangChain, LlamaIndex, Haystack, and DSPy to build dynamic multi-agent systems and serverless GenAI applications. Deploy Models at Scale: Manage model deployment using HuggingFace, Azure Web Apps, vLLM, and Ollama, including handling local models with GGUF, LoRA/QLoRA, PEFT, and Quantization methods. Integrate APIs: Seamlessly integrate with APIs from OpenAI, Anthropic, Cohere, Azure, and other GenAI providers. Ensure Security and Compliance: Implement guardrails, perform PII redaction, ensure secure deployments, and monitor model performance using advanced observability tools. Optimize and Monitor: Lead LLMOps practices focusing on performance monitoring, cost optimization, and model evaluation. Work with AWS Services: Hands-on usage of AWS Bedrock, SageMaker, S3, Lambda, API Gateway, IAM, CloudWatch, and serverless computing to deploy and manage scalable AI solutions. Contribute to Use Cases: Develop AI-driven solutions like AI copilots, enterprise search engines, summarizers, and intelligent function-calling systems. Cross-functional Collaboration: Work closely with product, data, and DevOps teams to deliver scalable and secure AI products. Qualifications 5+ years of experience in AI/ML roles, focusing on LLM agent development, data, science workflows, and system deployment. A Bachelor's degree in Computer Science, Software Engineering, or a related field Demonstrated experience in designing domain-specific AI systems and integrating structured/unstructured data into AI models. Proficiency in designing scalable solutions using LangChain and vector databases. Deep knowledge of LLMs and foundational models (GPT-4, Claude, Mistral, LLaMA, Gemini). Strong expertise in Prompt Engineering, Chain-of-Thought reasoning, and Fine-Tuning methods. Proven experience building RAG pipelines and working with modern vector stores (FAISS, Pinecone, Weaviate, Qdrant). Hands-on proficiency in LangChain, LlamaIndex, Haystack, and DSPy frameworks. Model deployment skills using HuggingFace, vLLM, Ollama, and handling LoRA/QLoRA, PEFT, GGUF models. Practical experience with AWS serverless services: Lambda, S3, API Gateway, IAM, CloudWatch. Strong coding ability in Python or similar programming languages. Experience with MLOps/LLMOps for monitoring, evaluation, and cost management. Familiarity with security standards: guardrails, PII protection, secure API interactions. Use Case Delivery Experience: Proven record of delivering AI Copilots, Summarization engines, or Enterprise GenAI applications. Additional Information Benefits At Quantanite, we ask a lot of our associates, which is why we give so much in return. In addition to your compensation, our perks include: Dress: Wear anything you like to the office. We want you to feel as comfortable as when working from home. Employee Engagement: Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements. Professional development: We love giving back and ensure you have opportunities to grow with us and even travel on occasion. Events: Regular team and organisation-wide get-togethers and events. Value orientation: Everything we do at Quantanite is informed by our Purpose and Values. We Build Better. Together. Future development: At Quantanite, you’ll have a personal development plan to help you improve in the areas you’re looking to develop over the coming years. Your manager will dedicate time and resources to supporting you in getting you to the next level. You’ll also have the opportunity to progress internally. As a fast-growing organization, our teams are growing, and you’ll have the chance to take on more responsibility over time. So, if you’re looking for a career full of purpose and potential, we’d love to hear from you!

We are hiring experienced AI Engineers for a full-time, 6-month on-premise role in Bengaluru (Electronic City) The role involves working on AI/ML solutions with open-source LLMs such as LLaMA, DeepSeek, and Mistral Strong Python programming skills, including data structures and algorithmic problem-solving, are essential Candidates must be comfortable deploying models on-premise and solving system-level challenges in Python Fine-tuning of LLMs, performance optimization, and working in Linux environments are desirable The role is hands-on and requires excellent analytical thinking and full-time office presence

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. Job Summary: We are looking for a highly skilled Data Scientist (LLM) to join our AI and Machine Learning team. The ideal candidate will have a strong foundation in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) , along with hands-on experience in building and deploying conversational AI/chatbots . The role requires expertise in LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . You will work closely with cross-functional teams to drive the development and enhancement of AI-powered applications. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development. Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . Design and develop ML/DL-based models to enhance natural language understanding capabilities. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc. for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Research and stay up to date with the latest advancements in LLM architectures, frameworks, and AI trends . Requirements Required Skills & Qualifications: 3-5 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Hands-on experience in developing and deploying conversational AI/chatbots is Plus Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, Hugging Face Transformers . Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph . Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models . Understanding of Prompt Engineering and Fine-tuning LLMs . Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. Experience in working with APIs, Docker, FastAPI for model deployment. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Good to Have: Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.) . Knowledge of Knowledge Graphs and Symbolic AI . Understanding of MLOps and LLMOps for deploying scalable AI solutions. Experience in automated evaluation of LLMs and bias mitigation techniques . Research experience or published work in LLMs, NLP, or Generative AI is a plus. Why Join Us? Opportunity to work on cutting-edge LLM and Generative AI projects . Collaborative and innovative work environment. Competitive salary and benefits. Career growth opportunities in AI and ML research and development.

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Yubi Yubi, formerly known as CredAvenue, is redefining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plentiful, and we equip you with the tools to seize them. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest, and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset-based securitization Spocto - Debt recovery & risk mitigation platform Accumn - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals, and Predictions to Lenders, Investors, and Business Enterprises So far, we have onboarded over 17,000+ enterprises and 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed, and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come join the club to be a part of our epic growth story. About The Job Job Title: Data Scientist 2 (LLM/GenAI) Location: Bangalore Experience: 2 - 4 years Employment Type: Full-time Job Summary: We seek a highly skilled Data Scientist (LLM) to join our AI and Machine Learning team. The ideal candidate will have a strong foundation in Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) , along with hands-on experience in building and deploying conversational AI/chatbots . The role requires expertise in LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . You will work closely with cross-functional teams to drive the development and enhancement of AI-powered applications. Key Responsibilities: Develop, fine-tune, and deploy Large Language Models (LLMs) for various applications, including chatbots, virtual assistants, and enterprise AI solutions. Build and optimize conversational AI solutions with at least 1 year of experience in chatbot development. Implement and experiment with LLM agent development frameworks such as LangChain, LlamaIndex, AutoGen, and LangGraph . Design and develop ML/DL-based models to enhance natural language understanding capabilities. Work on retrieval-augmented generation (RAG) and vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) to enhance LLM-based applications. Optimize and fine-tune transformer-based models such as GPT, LLaMA, Falcon, Mistral, Claude, etc., for domain-specific tasks. Develop and implement prompt engineering techniques and fine-tuning strategies to improve LLM performance. Work on AI agents, multi-agent systems, and tool-use optimization for real-world business applications. Develop APIs and pipelines to integrate LLMs into enterprise applications. Research and stay up-to-date with the latest advancements in LLM architectures, frameworks, and AI trends . Requirements Required Skills & Qualifications: 2-4 years of experience in Machine Learning (ML), Deep Learning (DL), and NLP-based model development. Hands-on experience in developing and deploying conversational AI/chatbots is Plus Strong proficiency in Python and experience with ML/DL frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers . Experience with LLM agent development frameworks like LangChain, LlamaIndex, AutoGen, LangGraph . Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB) and embedding models . Understanding of Prompt Engineering and Fine-tuning LLMs . Familiarity with cloud services (AWS, GCP, Azure) for deploying LLMs at scale. Experience in working with APIs, Docker, FastAPI for model deployment. Strong analytical and problem-solving skills. Ability to work independently and collaboratively in a fast-paced environment. Good to Have: Experience with Multi-modal AI models (text-to-image, text-to-video, speech synthesis, etc.) . Knowledge of Knowledge Graphs and Symbolic AI . Understanding of MLOps and LLMOps for deploying scalable AI solutions. Experience in automated evaluation of LLMs and bias mitigation techniques . Research experience or published work in LLMs, NLP, or Generative AI is a plus. Benefits Why Join Us? This is an opportunity to work on cutting-edge LLM and Generative AI projects . Collaborative and innovative work environment. Competitive salary and benefits. Career growth opportunities in AI and ML research and development.

Role Overview We are looking for a Python AI/ML Developer with a passion for Large Language Models (LLMs), rapid prototyping, and scalable backend development. If you’re excited about building AI-native applications using frameworks like FastAPI, Django, Gradio, and Streamlit—and you’ve dabbled in digital or affiliate marketing—we want to hear from you. Key Responsibilities Build and deploy AI-powered applications using Python and LLM APIs (e.g., OpenAI, LLaMA, Mistral, etc.) Develop RESTful and asynchronous APIs using FastAPI and Django Integrate and manage databases like PostgreSQL and MongoDB Create intuitive frontend UIs with Gradio and Streamlit Design and fine-tune prompts for various LLM use cases (text generation, classification, semantic search, etc.) Collaborate with product, design, and marketing teams to translate ideas into production-ready tools Bonus: Apply your understanding of digital marketing funnels or affiliate campaigns in product design Requirements Strong foundation in Python and basic understanding of AI/ML workflows Exposure to one or more LLM APIs (OpenAI, Cohere, Hugging Face models, etc.) Working knowledge of FastAPI , Django , PostgreSQL , and MongoDB Experience or project work using Gradio and/or Streamlit Demonstrated ability in writing effective prompts and building LLM chains or workflows Strong problem-solving mindset and eagerness to learn Git and version control proficiency Bonus Points Knowledge in digital marketing , affiliate marketing , or performance marketing Knowledge of LangChain , LLMOps , or RAG-based pipelines Job Type: Full-time Work Location: In person

Location: Hyderabad, India Company: Radise India Type: Full-Time | On-site Experience: 2–5 years (Mid-Level); open to strong junior candidates with relevant project experience About the Role: RADISE India is a growing Civil Engineering firm in Asia Pacific (APAC) Market using innovative IoT-based sensor technology aimed at providing infrastructure owners, builders, and operators the vital information on structural behavior to help them reduce the uncertainties associated with material properties and structural capacity. RADISE India, provides a wide range of innovative engineering consulting services for infrastructure owners, builders, contractors, vendors, and operators. Our technology driven products and services are for infrastructure builders, owners & operators, government bodies, general contracting firms. Key Responsibilities: Evaluate and deploy open-source LLMs (Gemma, DeepSeek, LLaMA 3, Mistral, etc.) for use in document Q&A, natural language to SQL translation, and AI-driven insights. Implement document ingestion pipelines (PDF, Word, Excel, images) using tools like LangChain, Haystack, or LlamaIndex for chunking, embedding, and vector search. Set up and manage vector databases (e.g., pgvector). Develop RAG pipelines to connect embeddings from Azure Blob Storage files and PostgreSQL data. Build and test AI agents capable of routing user queries to either blob-based document retrieval or database querying (SQL generation). Engineer and Evaluate prompts by implementing industry standard prompt engineering techniques. Work closely with our backend team (TypeScript, Express, PostgreSQL) to expose AI capabilities as services or APIs. Benchmark cost, performance, and latency of different models and infrastructures. Support future transition to secure/compliant deployment models (FedRAMP, NIST 800-171). Collaborate with the product team to refine chat UX and identify high-impact use cases. Required Skills and Qualifications: Bachelor's or Master’s in Computer Science, AI/ML, Data Science, or related field. 2+ years of hands-on experience working with LLMs , embeddings, or NLP pipelines. Solid understanding of open-source AI stacks (Transformers, LangChain, LlamaIndex, etc.). Familiarity with vector databases and semantic search principles. Experience working with Python and optionally some TypeScript/Node.js . Comfortable working with SQL and relational databases like PostgreSQL. Strong understanding of AI infrastructure (Docker, Linux, GPU/CPU optimization, cloud deployment – Azure preferred). Must have Strong Prompt Engineering skills. Ability to read and implement research papers or GitHub repos for LLM-based applications. Preferred (Nice-to-Have): Experience deploying or fine-tuning OpenAI, LLaMA, Mistral, Falcon , or similar open-source models. Familiarity with Azure OpenAI, Azure Cognitive Search, or OpenAI APIs for benchmarking. Experience with OCR tools and document parsing pipelines. Exposure to civil engineering or construction domain data is a plus. Why Join Us? Work on cutting-edge AI applications for infrastructure and civil engineering – real-world impact. Direct mentorship from leadership (with deep engineering expertise) and cross-functional collaboration. Opportunity to experiment with and deploy models at scale across enterprise SaaS. Growth potential to lead AI initiatives across multiple product lines (SmartInfra Hub, SmartCompose.AI, etc.). Job Type: Full-time Pay: ₹800,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Experience: AI Engineer: 3 years (Preferred) Location: Hyderabad, Telangana (Required) Work Location: In person

🚀 Senior Engineer (GenAI & Prompt Engineering) | Xebia | Hybrid (India) We’re hiring a GenAI expert to supercharge our DevOps and Engineering ecosystem with AI-native intelligence. If you’re passionate about Prompt Engineering, RAG pipelines, and vector databases , and can deliver production-ready LLM integrations — we want to hear from you! 🔍 Key Responsibilities Architect and refine prompts for task-specific LLM workflows Build RAG pipelines using FAISS, Weaviate, Pinecone , etc. Seamlessly integrate GenAI into CI/CD, observability, developer tools Use Python frameworks like LangChain, LlamaIndex, Haystack Fine-tune and deploy LLMs (OpenAI, Claude, Mistral, etc.) Ensure privacy, security, and model performance Collaborate with Platform, DevOps & Engineering teams 🔧 Required Skills 6–10+ years in engineering with 2+ years in GenAI/LLMs Expert in Python , prompt engineering , embedding techniques Experience with vector DBs , LLM APIs, and GenAI frameworks Strong understanding of NLP concepts and LLM lifecycle 💡 Nice to Have Exposure to Kubernetes, GitOps, DevSecOps Worked on changelog generation, log triage, AI copilots 📍 Hybrid Work : 3 days a week from any Xebia office (Chennai, Bangalore, Hyderabad, Pune, Jaipur, Bhopal, Gurugram) ⏳ Joiners : Immediate to Max 2 Weeks’ Notice Only 📩 To Apply , email your details to vijay.s@xebia.com with: Full Name Total Experience Current CTC Expected CTC Current Location Preferred Xebia Location Notice Period / Last Working Day Primary Skills LinkedIn Profile Join us to build the future of engineering productivity with AI. #GenAI #PromptEngineering #RAG #Python #LLM #Hiring #Xebia

About the Company We are looking for a highly skilled and innovative AI Engineer to join our team in Hyderabad. This role focuses on designing and building agentic AI systems using Large Language Models (LLMs) and advanced reasoning frameworks. The ideal candidate will have a strong background in Python, Prompt Engineering, and RAG (Retrieval-Augmented Generation) architectures, with the ability to apply these technologies in real-world banking use cases. About the Role This role focuses on designing and building agentic AI systems using Large Language Models (LLMs) and advanced reasoning frameworks. Responsibilities Design, build, and deploy intelligent AI systems that can reason, plan, and act autonomously. Implement RAG pipelines leveraging vector databases (e.g., FAISS, Chroma, Pinecone) for knowledge retrieval. Develop prompts, few-shot examples, and context-aware workflows to improve LLM performance. Use agentic AI frameworks like LangChain, LangGraph, or AutoGen to orchestrate multi-step interactions. Build scalable pipelines for document processing, OCR, and computer vision-based analysis. Integrate AI solutions with banking workflows (e.g., KYC, fraud detection, claims processing). Collaborate with cross-functional teams to understand business needs and deliver robust AI-powered solutions. Ensure secure, scalable deployment of solutions on Azure Cloud using best DevOps practices. Qualifications 8+ Years (6+ Years Relevant in AI/ML) Domain: Banking Job Type: Full-time Work Location: Based on Panelists + Account POCs availability Required Skills Python Programming (advanced proficiency) LLMs (OpenAI, Claude, Mistral, etc.) Prompt Engineering (few-shot, CoT, tool use) Vector Databases (FAISS, Pinecone, Chroma, etc.) RAG Architecture implementation Agentic AI Libraries: LangChain, LangGraph, or AutoGen Document Processing & OCR (e.g., Tesseract, Azure Form Recognizer) Computer Vision (OpenCV, LayoutLM, Vision Transformers) Preferred Skills Cloud Platforms: Azure, Azure OpenAI, Azure Functions API Development: FastAPI, RESTful services Containerization: Docker Monitoring Tools: Prometheus, ELK Stack Experience in the Banking/Financial Services domain

Job Title: IIT AI Engineer – Scalable Agent Architectures Location: Remote (Preference for IST or EST overlap) Company: EZAIX Type: Full-time Level: Senior / Principal About the Role EZAIX is building the future of connected enterprise intelligence — where AI agents don’t just respond, they act. We are looking for an experienced AI Engineer to help us architect and implement highly scalable, event-driven, multi-agent systems for real-world enterprise automation and collaboration. You’ll work at the intersection of LLM infrastructure, Azure-native microservices, and agent orchestration frameworks (LangGraph, LangChain) to create dynamic, tool-using, streaming-first systems that can reason, route, and respond across business workflows. Your Mission • Architect and build AI-first microservices that power intelligent enterprise workflows • Design and implement LangGraph/LangChain-based AI agents that invoke tools, handle context, and collaborate over stateful graphs • Tune and orchestrate open-source LLMs (LLaMA 2/3, Mistral, Mixtral) via LoRA/fine-tuning for task-specific performance • Implement function-calling and streaming responses for dynamic, low-latency user experiences • Connect vectorized knowledge using Azure AI Search / FAISS / Chroma and build robust retrieval-augmented generation (RAG) pipelines • Build and test event-driven architectures using Azure Service Bus, Event Hubs, and serverless platforms like Azure Functions & Logic Apps • Own end-to-end model evaluation using LLM-eval, RAG benchmarks, prompt testing, and hallucination reduction strategies Core Requirements Architecture & Backend Skills • Strong grasp of microservices and event-driven design • Expertise in Azure Service Bus, Event Hubs, Azure Functions, Logic Apps • Solid backend experience with FastAPI, Django REST, or equivalent • Deep knowledge of Async IO, concurrency primitives (asyncio, trio) for scalable API design AI/LLM Stack • Experience with LangGraph, LangChain, or equivalent agent routing frameworks • Experience building multi-step agents that stream, invoke tools, and track state • Comfort with fine-tuning LLMs (LoRA, PEFT) on open-source models • Deep experience with prompt engineering, evaluation frameworks, and RAG pipelines • Practical implementation of vector databases like Azure AI Search, FAISS, or Chroma Nice to Have • Prior work with multi-agent orchestration and tool-switching logic • Familiarity with observability for AI agents (tracing, logging, telemetry in distributed AI systems) • Contributions to open-source LangChain / LangGraph or AI agent frameworks • Familiarity with Microsoft Copilot stack, Azure OpenAI, or Cognitive Services • DevOps familiarity with CI/CD and deployment on Azure Kubernetes or App Services What You'll Get • Opportunity to build cutting-edge AI systems with real enterprise impact • Work directly with founders and top-tier customers across industries • Freedom to experiment with latest OSS models and frameworks • Transparent roadmap, fast execution, global product footprint How to Apply If you're passionate about connected AI systems, LLM agents, and solving real problems at scale — we want to hear from you. Send your GitHub/portfolio, a short note, and your favorite agent architecture idea.

Project Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Data Science Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Full Stack Engineer, you will be responsible for developing and engineering the end-to-end features of a system. Your typical day will involve collaborating with cross-functional teams to design and implement innovative solutions that enhance user experience and optimize backend processes. You will leverage new technologies to address complex business challenges while maintaining a cloud-first and agile approach, ensuring that the services provided to clients are continuously improved and aligned with their needs. Your role will require a balance of creativity and technical expertise to deliver high-quality software solutions that meet project requirements and client expectations. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to design and implement new features. - Conduct code reviews to ensure quality and adherence to best practices. "• Experience with Hugging Face Transformers, LangChain, OpenAI APIs • Strong knowledge of machine learning libraries: scikit-learn, XGBoost, LightGBM • Experience with Retrieval-Augmented Generation (RAG): Faiss, Pinecone, Weaviate, ChromaDB • Training, fine-tuning, and optimizing transformer models (BERT, GPT, T5, LLaMA) • Deep understanding of self-attention, positional embeddings, sequence modeling • Strong NLP expertise: Named Entity Recognition (NER), topic modeling, text embeddings • Good grasp of linear algebra: vectors, matrices, eigenvalues, eigenvectors etc • Expertise in gradient descent, backpropagation, activation functions, loss functions • Experience with dimensionality reduction techniques for feature selection • Knowledge of time-series forecasting, anomaly detection, and probabilistic modeling • Understanding of model serving techniques, including REST APIs and real-time inference" "• Develop and fine-tune LLMs (GPT, BERT, T5, LLaMA, Mistral) for text generation, summarization, translation, and question-answering tasks. • Work with transformer-based architectures, understanding self-attention mechanisms, token embeddings, and model interpretability. • Implement custom tokenization techniques, text embedding models (Sentence-BERT, OpenAI Embeddings, Cohere, etc.), and efficient inference optimizations. • Apply prompt engineering and prompt tuning techniques to optimize model responses. • Work with LangChain and LLM orchestration frameworks to build AI-powered applications. • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Pinecone, Weaviate, ChromaDB. • Work with Hugging Face Transformers, spaCy, NLTK, and OpenAI APIs." Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language). - Good To Have Skills: Experience with JavaScript frameworks such as React or Angular. - Strong understanding of RESTful API design and development. - Familiarity with cloud platforms such as AWS or Azure. - Experience with database management systems like MySQL or PostgreSQL. "Must Have Skills: 1. Must have 5-7+ years of experience working as a Microsoft FED Angular. 2. Strong understanding of software development principles, design patterns, and best practices. 3. Develop, test, and maintain software applications using Angular and .NET. 4. Designing & developing user interfaces using angular best practices 5. Developing application code & unit tests in angular. 6. Experience in consuming Web API/ Rest API using Javascript. 7. Should have good troubleshooting and debugging skills Good to Have Skills: 1. Knowledge/Experience in Excel 2 Knowledge/Experience of Agile methodology and Sprint based project delivery Nice to Have Skills: 1. .Net Core 2. Agile Development Methodology 2. MySQL" "• Should be good team player. • Good Written & Verbal Communication skills • Good analytical and troubleshooting skills." Additional Information: - The candidate should have minimum 3 years of experience in Python (Programming Language). - This position is based at our Bengaluru office. - A 15 years full time education is required. Resource should be open to work in B Shift (Afternoon Shifts 12:30 to 10:30) during week days., 15 years full time education

Senior Software Engineer – AI We are looking for a Senior Software Engineer – AI with 3+ years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment—fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. Roles and Responsibilities  Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs).  Design and implement Agentic AI systems—autonomous agents capable of planning and executing multi-step tasks.  Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products.  Write clean, scalable code and build robust APIs and services to support AI model deployment.  Own feature delivery end-to-end—from research and experimentation to deployment and monitoring.  Stay current with emerging AI frameworks, tools, and best practices and apply them in product development.  Contribute to a high-performing team culture and mentor junior team members as needed. Skill Set:  3–6 years of overall software development experience, with 3+ years specifically in AI/ML engineering.  Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face).  Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio).  Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel).  Experience building and deploying ML models to production environments.  Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts.  Comfortable working in a startup-like environment—self-motivated, adaptable, and willing to take ownership.  Solid understanding of API development, version control, and modern DevOps/MLOps practices. Job Type: Permanent Work Location: In person

Job Summary: We are seeking a passionate and highly skilled Solution Architect Generative AI & Agentic AI to design, develop, and deploy intelligent systems leveraging large language models (LLMs), multiagent frameworks, and enterprise AI integration patterns. This role will play a key part in building next-generation AI applications that autonomously reason, act, and learn across complex business workflows.As a Generative & Agentic AI Solution Architect you will own the end-to-end architecture for enterprise-grade GenAI solutions and multi-agent systems. Youll translate business objectives into scalable, compliant, and observable AI capabilitiesspanning data pipelines, foundation-model ops, Retrieval-Augmented Generation (RAG), and autonomous agent orchestration. You will partner with product owners, data scientists, platform engineers, security, and business stakeholders to accelerate AI-driven transformation while safeguarding performance, ethics, and regulatory compliance. Key Responsibilities: 1. Solution Development: Design and implement applications using LLMs (e.g., OpenAI, Mistral, Claude, Llama) Build autonomous multi-agent systems using frameworks like AutoGen, LangGraph, CrewAI, or AgentOps Develop scalable backend services and orchestration pipelines using Python/Node.js integrated with AI APIs Lead discovery workshops, create MVP backlogs, and convert PoCs into production-ready solutions following MLOps / LLMOps best practices Oversee model selection, finetuning, prompt-engineering, evaluation, and continuous monitoring 2. Architecture & Engineering: Translate business requirements into agentic workflows with reasoning, memory, and tool usage Integrate GenAI and agents with enterprise systems (e.g., SAP, ServiceNow, Salesforce) via APIs and RAG pipelines Work with vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and long-term memory Define reference architectures for GenAI (LLMs, Diffusion, SSMs) and agentic patterns (task-decomposition, planner-executor, tool-calling) Design secure micro-service and event-driven topologies on cloud / hybrid infra (AWS Bedrock, Azure OpenAI, Google Vertex, private GPUs) Required Technical Competencies: Generative AI: Hands-on with LLMs (GPT-4o, Claude-3, Gemini, Llama-3), Diffusion, and audio-/vision models; experience with HF Transformers, LangChain / LlamaIndex Agentic Frameworks: Experience designing goal-oriented agents using AutoGen, CrewAI, Semantic Kernel, or custom planners; familiarity with tool-calling, memory management, and AI schedulers LLMOps / MLOps: CI/CD for model artifacts, feature stores, vector DBs (Pinecone, Weaviate, FAISS), model gateways, and policy engines (Guardrails, Azure AI Safety) Cloud & DevSecOps: Terraform, Kubernetes, Docker, serverless, GPU orchestration, secret management, SAST/DAST integration Programming: Python (primary), TypeScript/Node, Bash; strong design-pattern discipline and code-review leadership Build replaceable but working proofofconceptsCLI, Streamlit, or VS Code Jupyterso stakeholders can touch” the idea Write production-grade Python/TypeScript to orchestrate agents with AutoGen / CrewAI / Semantic Kernel Hook agents to real systems (SAP BAPIs, Salesforce APIs, REST/GraphQL) and manage auth tokens & secrets Build CI/CD (GitHub Actions, Terraform, Helm) that auto-tests prompts, pushes Docker images, and provisions GPUs Instrument tracing (OpenTelemetry) and set up dashboards for tokens, latency, cost per call Education: Bachelor’s or master’s degree in computer science, Data Science, Artificial Intelligence, Engineering, or a related field Note: Working from office Mandatory

We are looking for a highly motivated and enthusiastic Senior Data Scientist with 5-8 years of experience to join our dynamic team. The ideal candidate should have a strong background in AI/ML analytics and a passion for utilizing data to drive business insights and innovation. Your main responsibilities will include developing and implementing machine learning models and algorithms, collaborating with project stakeholders to understand requirements and deliverables, analyzing and interpreting complex data sets using statistical and machine learning techniques, staying updated with the latest advancements in AI/ML technologies, and supporting various AI/ML initiatives by working with cross-functional teams. To qualify for this role, you should have a Bachelor's degree in Computer Science, Data Science, or a related field, along with a strong understanding of machine learning, deep learning, and Generative AI concepts. Preferred skills for this position include experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, and Deep Learning stack using Python. Additionally, expertise in cloud infrastructure for AI/ML on AWS (Sagemaker, Quicksight, Athena, Glue), building secure data ingestion pipelines for unstructured data, proficiency in Python, TypeScript, NodeJS, ReactJS, data visualization tools, deep learning frameworks, version control systems, and Generative AI/LLM based development is desired. Good to have skills include knowledge and experience in building knowledge graphs in production and an understanding of multi-agent systems and their applications in complex problem-solving scenarios. Pentair is an Equal Opportunity Employer, valuing cross-cultural insight and competence for ongoing success, with a belief that a diverse workforce enhances perspectives and ideas for continuous improvement.,

Job Purpose: Enterprise-level GenAI projects with hands-on experience in GenAI model integration and optimization Architect and hands-on developer of fullstack backend systems using Java, Spring Boot, ReactJS and/or Flutter for enterprise-grade UI applications and Spring Security Guide a team of GenAI developers working on LLaMA, Gemini, Gemma, and Mistral like models Design cloud-agnostic solutions deployed on AWS, GCP, or hybrid environments Apply TOGAF principles for scalable, enterprise-ready system architecture Ensure GenAI features are integrated into backend platforms through secure, optimized APIs Deliver high-quality, production-ready applications blending AI with traditional systems Responsibilities Build and maintain APIs to connect GenAI features with enterprise systems Fine-tune and optimize models like LLaMA, Gemini, and Mistral using PEFT, DeepSpeed Develop and manage backend systems using Java, Spring Boot, Spring Security Deliver responsive and scalable frontend apps using ReactJS/Flutter Implement agent-based GenAI workflows using LangChain, Autogen, CrewAI Mentor developers across fullstack and GenAI modules, ensuring code quality and delivery speed Keyskills Required: Min 15 Yrs of experience is required with hands-on GenAI experience with LLaMA, Gemini, Gemma, Mistral, Claude, CodeLLaMA Experience in Java Fullstack using Spring Boot and Spring Security Experience in frontend development using ReactJS and/or Flutter Proficient in Python, Hugging Face Transformers, PyTorch, PEFT, DeepSpeed Experience designing agent-based systems and decoding strategies (beam, top-k, top-p) Familiar with vector DBs like FAISS, Pinecone, Chroma Capable of integrating OpenAI, Anthropic, or other GenAI APIs Expertise in prompt engineering and custom LLM pipelines Sound understanding of TOGAF principles and enterprise architecture Experience building cloud-agnostic apps on AWS and GCP

Company Description BRAINWONDERS About Company: At Brainwonders, we are proud to be India’s largest career counselling and guidance company, recognized for our commitment to transforming students' futures. With 1223+ educational institutes using our services, 93+ corporate connections, and 108+ franchisees, we have built an expansive network of support for students, educators, and professionals. Brainwonders has earned numerous national and regional awards for excellence in career counselling and guidance, and is consistently rated as one of the highest-paying employers in the counselling industry by various job portals. Job Description AI Engineer Intern – LLMs, Agents, AWS Position: AI Engineer Intern Experience: 0-1 Year (Final-year students or freshers welcome) Location: Borivali East, Mumbai Type: Internship (3–6 months) | Possibility of Full-time Offer Focus Areas: Large Language Models (LLMs) AI Agents / Autonomous Systems ML Fundamentals & Transformers Cloud Deployment & Scaling (AWS) Responsibilities: Build and test LLM-based applications and workflows. Experiment with agent frameworks (e.g., LangGraph, CrewAI). Use and adapt transformer models (e.g., LLaMA, Mistral) for domain tasks. Deploy models and services on AWS (Lambda, EC2, SageMaker). Work with vector stores and embeddings for search or RAG-based systems. Collaborate on prompt engineering, fine-tuning, and pipeline optimization. ✅ Requirements: Solid understanding of LLMs, tokenization, transformers. Python programming (Pandas, NumPy, Hugging Face, LangChain, etc.). Exposure to AWS services like EC2, Lambda, S3, or SageMaker. Eagerness to explore real-world AI use cases (agents, copilots, RAG). Basic ML knowledge and hands-on project experience. Good to know: Experience with serverless deployments on AWS. Familiarity with monitoring and logging (e.g., CloudWatch, OpenTelemetry). Contributions to open-source AI tools or models Additional Information

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. EY- Assurance – Sr.Manager - Digital Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a combination of a technical role and a business development role in AI, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities 10-12 years of experience in Data Science, with about 15 years of total experience Talk to businesses across Assurance teams and understand the problem and develop the solution based on problem, infra and cost limitations Respond to AI related RFPs and business cases Ensure team’s utilization and billability – i.e ensure that the projects are lined up for developers on after the other Convert business problem into analytical problem and devise a solution approach Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 6+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, function calling, frameworks like LangChain, Llama Index, agents etc. Retriever augmented generation and prompt engineering. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis. Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What we look for A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment. An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: What you need to know about the role- Data scientists are highly motivated team players with strong analytical skills who specialize in creating, driving and executing initiatives to mitigate fraud on PayPal’s platform and improve the experience for PayPal’s hundreds of millions of customers, while guaranteeing compliance with regulations. Meet our team Data scientists in the Fraud Risk team are problem solvers suited to approach varied challenges in complex big data environments. Our core goals are to enable seamless and delightful experiences to our customers, while preventing threat actors from accessing customers’ financial instruments and personal information. As part of our day-to-day job, we are collaborating with a wide variety of partners: product owners, data scientists, security experts, legal consults, and engineers, to bring our data science insights to life, impacting the experience and security of millions of customers around the globe. Job Description: Your way to impact Data scientists deeply understand PayPal’s business objectives, as their impact on PayPal’s top and bottom lines is immense. As a data scientist, you will develop key AIML capabilities, tools, and insights with the aim of adapting PayPal’s advanced proprietary fraud prevention and experience mechanisms and enabling growth. Your day to day Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets. What Do You Need To Bring- Strong proficiency in Python for data analysis, machine learning, and automation. Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures). Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions. Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar. Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows. Ability to work cross-functionally with engineering, product, compliance, and operations teams. Proven track record of translating complex ML insights into business actions or policy decisions. BS/BA degree with 5+ years of related professional experience or master’s degree with 4+ years of related experience. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0127046

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. Position Details As part of EY GDS Assurance Digital, you will be responsible for implementing innovative ideas through AI research to develop high growth & impactful products. You will be helping EY’s sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. You will work with multi-disciplinary teams across the entire region to support global clients. This is a core full-time AI developer role, responsible for creating innovative solutions by applying AI based techniques for business problems. As our in-house senior AI engineer, your expertise and skills will be vital in our ability to steer one of our Innovation agenda. Responsibilities Requirements (including experience, skills, and additional qualifications) Convert business problem into analytical problem and devise a solution approach. Clean, aggregate, analyze and interpret the data to derive business insights from it. Own the AI/ML implementation process: Model Design, Feature Planning, Testing, Production Setup, Monitoring, and release management. Work closely with the Solution Architects in deployment of the AI POC’s and scaling up to production level applications. Should have solid background in Python and has deployed on open-source models- Work on data extraction techniques from complex PDF/Word Doc/Forms- entities extraction, table extraction, information comparison. Key Requirements/Skills & Qualification: Excellent academic background, including at a minimum a bachelor or a master’s degree in data science, Business Analytics, Statistics, Engineering, Operational Research, or other related field with strong focus on modern data architectures, processes, and environments. Solid background in Python with excellent coding skills. 4+ years of core data science experience in one or more below areas: Machine Learning (Regression, Classification, Decision Trees, Random Forests, Timeseries Forecasting and Clustering) Understanding and usage of Large Language Models like Open AI models like ChatGPT, GPT4, frameworks like LangChain and Llama Index. Good understanding of open source LLM framework like Mistral, Llama, etc. and fine tuning on custom datasets. Deep Learning (DNN, RNN, LSTM, Encoder-Decoder Models) Natural Language Processing- Text Summarization, Aspect Mining, Question Answering, Text Classification, NER, Language Translation, NLG, Sentiment Analysis, Sentence Computer Vision- Image Classification, Object Detection, Tracking etc. SQL/NoSQL Databases and its manipulation components Working knowledge of API Deployment (Flask/FastAPI/Azure Function Apps) and webapps creation, Docker, Kubernetes. Additional skills requirements: Excellent written, oral, presentation and facilitation skills Ability to coordinate multiple projects and initiatives simultaneously through effective prioritization, organization, flexibility, and self-discipline. Must have demonstrated project management experience. Knowledge of firm’s reporting tools and processes. Proactive, organized, and self-sufficient with ability to priorities and multitask. Analyses complex or unusual problems and can deliver insightful and pragmatic solutions. Ability to quickly and easily create/ gather/ analyze data from a variety of sources. A robust and resilient disposition able to encourage discipline in team behaviors What We Look For A Team of people with commercial acumen, technical experience, and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 7200 + professionals, in the only integrated global assurance business worldwide. Opportunities to work with EY GDS Assurance practices globally with leading businesses across a range of industries What Working At EY Offers At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About the Role We are seeking a highly skilled and innovative AI/ML Engineer with 4–6 years of hands-on experience in Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have deep expertise in modern AI frameworks, vector databases, open-source LLMs, and prompt engineering. You will play a pivotal role in designing, building, and deploying LLM-powered applications, including RAG pipelines, Agentic AI, and MCP workflows. Key Responsibilities ● Design, develop, and deploy AI/ML models for real-world applications. ● Implement Generative AI solutions using platforms like OpenAI, Anthropic Claude, and HuggingFace Transformers. ● Work on LLM fine-tuning using PEFT, LoRA, QLoRA, and similar parameter-efficient methods. ● Develop intelligent agents using LangChain and LangGraph frameworks. ● Build and optimize RAG pipelines integrated with vector databases like Pinecone, Weaviate, etc. ● Apply prompt engineering techniques to improve model performance and outputs. ● Collaborate cross-functionally with product, data, and engineering teams to deliver scalable AI systems. ● Work with cloud infrastructure, especially AWS, for model training, deployment, and orchestration. ● Stay up to date with the latest research and trends in AI, LLMs, and agent-based systems. ● Implement and maintain MCP Protocols and agentic workflows for advanced decision-making pipelines. Must-Have Skills & Experience ● 4–6 years of strong experience in Machine Learning, Deep Learning or Generative AI and Agentic AI ● Hands-on experience with Generative AI, LLM architectures, and open-source models like Mistral, Meta LLaMA, etc. ● Proficiency in LangChain, LangGraph, and prompt engineering ● Familiarity with Vector Databases such as Pinecone, Weaviate, FAISS, etc. ● Experience with OpenAI, HuggingFace, Anthropic Claude, and model APIs ● In-depth understanding of LLM fine-tuning techniques (LoRA, QLoRA, PEFT) ● Strong Python programming skills and experience with ML frameworks (PyTorch, TensorFlow) ● Good understanding of AWS services for model training, hosting, and storage ● Solid understanding of RAG pipelines, agentic AI frameworks, and MCP Protocols ● Experience working in a fast-paced, research-driven environment Job Type: Full-time Pay: ₹600,000.00 - ₹1,200,000.00 per month Benefits: Health insurance Leave encashment Provident Fund Work from home Work Location: In person