653 Mistral Jobs - Page 11

Job Description: The AI/ML engineer role requires a blend of expertise in machine learning operations (MLOps), ML Engineering, Data Science, Large Language Models (LLMs), and software engineering principles. Skills you'll need to bring: Experience building production-quality ML and AI systems. Experience in MLOps and real-time ML and LLM model deployment and evaluation. Experience with RAG frameworks and Agentic workflows valuable. Proven experience deploying and monitoring large language models (e.g., Llama, Mistral, etc.). Improve evaluation accuracy and relevancy using creative, cutting-edge techniques from both industry and new research Solid understanding of real-time data processing and monitoring tools for model drift and data validation. Knowledge of observability best practices specific to LLM outputs, including semantic similarity, compliance, and output quality. Strong programming skills in Python and familiarity with API-based model serving. Experience with LLM management and optimization platforms (e.g., LangChain, Hugging Face). Familiarity with data engineering pipelines for real-time input-output logging and analysis. Qualifications: Experience working with common AI-related models, frameworks and toolsets like LLMs, Vector Databases, NLP, prompt engineering and agent architectures. Experience in building AI and ML solutions. Strong software engineering skills for the rapid and accurate development of AI models and systems. Prominent in programming language like Python. Hands-on experience with technologies like Databricks, and Delta Tables. Broad understanding of data engineering (SQL, NoSQL, Big Data), Agile, UX, Cloud, software architecture, and ModelOps/MLOps. Experience in CI/CD and testing, with experience building container-based stand-alone applications using tools like GitHub, Jenkins, Docker and Kubernetes Responsibilities: Participate in research and innovation of data science projects that have impact to our products and customers globally. Apply ML expertise to train models, validates the accuracy of the models, and deploys the models at scale to production. Apply best practices in MLOps, LLMOps, Data Science, and software engineering to ensure the delivery of clean, efficient, and reliable code. Aggregate huge amounts of data from disparate sources to discover patterns and features necessary to automate the analytical models. About Company At Improva , we leverage the power of human creativity and artificial intelligence to create innovative software solutions that drive business growth and digital transformation. Our approach combines AI-driven automation with human insight to solve complex challenges, optimize operations, and unlock new opportunities for our clients. We help businesses stay ahead in an ever-changing digital landscape, ensuring they achieve long-term success. If you're looking to be part of a dynamic team that’s passionate about innovation and making a real impact, Improva is the place for you.

Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of 10+ years of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 763067

Company Description Loyyal is a loyalty and payments innovation company that offers an Enterprise SaaS Suite powered by patented blockchain technology. We focus on disrupting the loyalty industry by delivering efficiency, security, and scalability at a low cost. Our platform is designed to reduce operational complexity and boost revenue for loyalty programs, driving customer engagement and loyalty in a competitive marketplace. About the Role We’re looking for a seasoned AI Engineer who thrives on solving complex challenges and building intelligent systems that scale. This role is ideal for someone passionate about deep learning, GenAI, and production-grade AI systems. You’ll work closely with our data, engineering, and product teams to design, build, and deploy advanced AI models across a variety of real-world use cases. As a Senior AI Engineer, you’ll play a key role in architecting, developing, and optimizing our AI systems—from fine-tuning large language models to building robust MLOps pipelines. This is an opportunity to be part of a high-impact team shaping next-generation AI experiences. Key Responsibilities Design, build, and deploy scalable AI models, with a focus on NLP, LLMs, and Generative AI use cases Fine-tune open-source or proprietary LLMs (e.g., LLaMA, Mistral, GPT-J) for domain-specific tasks Collaborate with product and engineering teams to integrate AI models into user-facing applications Develop MLOps pipelines using tools like MLflow, Kubeflow, or Vertex AI for model versioning, monitoring, and deployment Optimize inference performance, memory usage, and cost efficiency in production environments Apply prompt engineering, retrieval-augmented generation (RAG), and few-shot techniques where appropriate Conduct experiments, A/B testing, and evaluations to continuously improve model accuracy and reliability Stay up to date with the latest developments in AI/ML research, especially in LLM and GenAI domains Write clean, modular, and well-documented code and contribute to technical design reviews Mentor junior team members and collaborate in agile sprint cycles Requirements 6+ years of experience in machine learning or AI engineering 2+ years working with LLMs, Transformers, or Generative AI models Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers) Experience deploying AI models in production (cloud-native or on-prem) Strong grasp of model fine-tuning, quantization, and serving at scale Familiarity with MLOps, including experiment tracking, CI/CD, and containerization (Docker, Kubernetes) Experience integrating AI with REST APIs, cloud services (AWS/GCP), and vector databases (e.g., Pinecone, Weaviate, FAISS) Understanding of ethical AI, data privacy, and fairness in model outcomes Strong debugging, problem-solving, and communication skills Experience working in agile teams with code review and version control (Git) Nice to Have Hands-on experience with Retrieval-Augmented Generation (RAG) pipelines Familiarity with OpenAI, Anthropic, or Cohere APIs and embedding models Knowledge of LangChain, LlamaIndex, or Haystack for AI application orchestration Experience with streaming data and real-time inference systems Understanding of multi-modal models (e.g., combining text, image, audio inputs) Prior experience in a startup, product-focused, or fast-paced R&D environment What We Offer Competitive compensation (base + performance-based bonuses or token equity) Fully remote and flexible work culture A front-row seat to build next-gen AI experiences in a high-growth environment Opportunity to shape AI strategy, tools, and infrastructure from the ground up Access to high-end GPU infrastructure and compute resources How to Apply Send your resume and a short cover letter highlighting: Your experience with LLMs, GenAI, and deployed AI systems Links to AI/ML projects, GitHub repos, or research (if public) Why you're interested in this role and how you envision contributing.

Hi, Greetings from Warrior Tech Solutions. We are hiring for the below position: Role: Data Scientist/AI Engineer Location: Chennai/Hyderabad (Onsite – 5 Days) Experience: 5+ Years Notice: Immediate to 15 days Responsibilities will include but are not limited to: · Development and testing of Generative AI solution either Agentic or non-AgenticAI · Deep understanding of any framework either Langgraph or Autogen or CrewAI · Deep understanding of Data preprocessing, Prompt management, Caching, Validation, Advanced RAG, RLHF and success measurement. · Thorough understanding of LLMOps, data pipelines and other common services required to operationalize the Generative AI use cases. · Designing end-to-end Generative AI solutions tailored to specific Verizon use cases. · Deep understanding of automation and AI technologies and their application in business operations. · Develop scalable prototypes of LLM and NLP Modules and systems which are critical to the company’s product lines. · Apply state-of-the-art LLM techniques to understand a large amount of unstructured data and translate them to a meaningful and structured data · Design, develop and evaluate predictive LLM models that are on par with industry standards & define metrics that measure success and customer value delivery · Work closely with process experts to analyze and design solutions based on business requirements. Technical skills: · Develop Lang Graph based Agentic Framework implementation · Use Large Language Models for content generation · Create Prompt templates for LLMs · Fluent in Python, Jupyter Notebooks · Experience in RAG pipelines / Vector Databases · Develop Python based parsers for PDFs · Experience on node.js programming and testing · Experience on deployment in AWS or GCP Required Skills: · Minimum 6 years of experience in one or more of Data Science, LLM, Gen AI · Master’s degree from an accredited college or university preferred · Established experience delivering information management solutions to large numbers of end users · Experience in building LLM solutions to business problems across support, sales, digital, chat, voice etc., · Familiarity with Gen AI Models (OpenAI, Gemini AI, Vertex.AI, Mistral, LlaMa, etc.,) and finetune based on domain specific needs · Experience in text processing, Vector databases and embedding models · Experience in NLP, Transformers and Neural Networks · Hands-on experience in using Langchain and good exposure to LLMOps · Strong independent and creative research skills necessary to keep up with the latest trends in advanced analytics and ML · Research, recommend and implement best practices of LLM and NLP systems that can scale · Identify new process opportunities, while quickly assessing feasibility · Excellent written and verbal communication skills able to effectively communicate technical details to a non-technical audience as well as produce clear and concise written documentation If interested, kindly share the resumes to *bharathi@ewarriorstechsolutions.com* or contact @8015568995. Job Type: Full-time Pay: ₹1,500,000.00 - ₹2,000,000.00 per year Benefits: Health insurance Paid sick time Provident Fund Schedule: Day shift Monday to Friday Morning shift Work Location: In person

Key Responsibilities: Design end-to-end architectures for Generative AI solutions (text, image, video, code generation). Evaluate and integrate foundation models like OpenAI GPT, Google Gemini, Mistral, LLaMA, Claude, etc. Build scalable GenAI pipelines for training, fine-tuning, prompt engineering, and inference. Collaborate with data scientists, ML engineers, and software developers to operationalize AI models. Lead PoCs and MVPs in collaboration with business stakeholders. Implement RAG (Retrieval Augmented Generation) pipelines for context-aware applications. Define best practices for model deployment (API, containerization, CI/CD). Ensure responsible AI compliance and model monitoring in production. Optimize performance and cost of GenAI workloads on cloud platforms (AWS, Azure, GCP). Required Skills: Strong experience with GenAI models (GPT, BERT, LLaMA, Stable Diffusion, DALL·E, etc.) Proficient in Python, PyTorch, TensorFlow, LangChain, Transformers (Hugging Face) Deep understanding of prompt engineering, model fine-tuning (LoRA, PEFT) Experience with RAG pipelines, vector databases (Pinecone, FAISS, Weaviate, Chroma) Cloud-native development on AWS, Azure, or GCP (SageMaker, Vertex AI, Azure ML) Hands-on with APIs, microservices, and orchestration tools (Docker, Kubernetes, Airflow) Familiar with data engineering workflows, MLOps, and security best practices. Nice to Have: Experience with multimodal models (e.g., video/audio + text) Exposure to enterprise LLMs and model hosting platforms (Anthropic, Cohere, Mistral) Understanding of ethical AI, bias detection, and explainability Prior experience in GenAI for specific domains (Healthcare, Finance, Retail, etc.) Educational Background: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related field Certifications in cloud architecture or AI/ML preferred Soft Skills: Strong problem-solving and architectural thinking Ability to communicate complex concepts to non-technical stakeholders Passionate about staying ahead in the AI/ML space

Company Description Nielsen Sports is the premier provider of analytics and insights within the growing sports industry, offering the most reliable source of independent and holistic market data. We help businesses around the world effectively measure and commercialize their assets in sports. Our technology, data, and insights empower clients to make smarter decisions regarding media valuation, sponsorship, fan engagement, and more, by understanding and connecting with audiences through sports. We leverage cutting-edge image detection, machine learning, and AI to provide a comprehensive view of the sports media landscape. Job Description Role Overview: Are you passionate about leading and nurturing high-performing engineering teams to build groundbreaking AI solutions? Do you thrive on translating cutting-edge research in Computer Vision and Large Language Models into impactful, scalable products? Nielsen Sports is seeking an experienced and dynamic Engineering Manager / Senior Engineering Manager to lead our talented AI/ML engineers in Bengaluru. This role is critical to our mission of delivering innovative solutions that redefine how value is measured and understood in the global sports ecosystem. You will be responsible for guiding your team's technical direction, fostering their growth, and ensuring the successful delivery of projects that leverage sophisticated AI to analyze complex multimedia sports data. Key Responsibilities Team Leadership & Development: Lead, manage, and mentor a team of AI/ML software engineers (MTS 1-5 levels), fostering a culture of innovation, collaboration, ownership, and continuous learning. Drive recruitment, onboarding, performance management, and career development for team members. Champion engineering best practices and a positive, inclusive team environment. Technical Delivery & Execution: Oversee the planning, execution, and delivery of complex AI/ML projects, particularly in computer vision (e.g., object detection, logo recognition) and multi-modal LLM applications. Ensure projects are delivered on time, within scope, and to a high standard of quality. Work closely with product managers, researchers, and other stakeholders to define roadmaps, prioritize features, and translate business requirements into technical solutions. Technical Guidance & Strategy: Provide technical guidance and direction to the team on AI/ML model development, system architecture, MLOps, and software engineering best practices. Stay abreast of the latest advancements in AI, Computer Vision, LLMs, and relevant cloud technologies. Contribute to the broader technical strategy for AI/ML applications within Nielsen Sports. Stakeholder Management & Communication: Effectively communicate project status, risks, and technical details to both technical and non-technical stakeholders. Collaborate with cross-functional teams globally (including product, operations, and other engineering groups) to ensure alignment and successful product integration. Operational Excellence & Process Improvement: Drive improvements in team processes, development methodologies (e.g., Agile/Scrum), and operational efficiency. Ensure the scalability, reliability, and maintainability of the AI/ML systems and services developed by your team. Qualifications Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field. 5-12 years of progressive experience in software development, with a significant portion focused on AI/ML, Data Science, or Computer Vision. For Engineering Manager: At least 2-4 years of direct people management experience, leading and mentoring software engineering teams. For Senior Engineering Manager: At least 5+ years of direct people management experience, potentially including experience managing other leads or managers, and a proven track record of leading multiple or complex projects. Strong understanding of the software development lifecycle (SDLC), Agile methodologies, and CI/CD practices. Technical proficiency and familiarity with AI/ML concepts, machine learning algorithms, deep learning, and statistical modeling. Deep Expertise with computer vision techniques (e.g., object detection, image classification) and an understanding of or keen interest in Large Language Models (LLMs). Experience in finetuning LLMs like Llama 2/3, Mistral, or open-source models available on Hugging Face using libraries such as Hugging Face Transformers, PEFT, or specialized frameworks like Axolotl/Unsloth. Proficiency in programming languages commonly used in AI/ML, such as Python. Excellent leadership, interpersonal, communication, and organizational skills. Proven ability to motivate and grow technical talent. Full Stack Development expertise in any one stack Preferred Qualifications / Bonus Skills Prior hands-on experience as an AI/ML engineer or data scientist before transitioning into management. Experience managing teams working specifically on computer vision and/or LLM-based projects. Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Familiarity with cloud platforms (AWS, GCP, or Azure) and their AI/ML services. Experience in the sports analytics, media technology, or ad-tech industries. Proven track record of successfully delivering scalable, high-impact AI/ML products or features. Experience working in a global, distributed team environment. Additional Information What We Offer: An opportunity to lead and shape the future of AI in the exciting world of sports analytics. A leadership role with significant impact on Nielsen Sports' products and technology. A dynamic, innovative, and collaborative work environment. Competitive salary, performance-based bonus, and comprehensive benefits package. Opportunities for professional growth and development in a global organization. The chance to work with a passionate team on cutting-edge technologies. Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

AI/ML Intern (Full Time - Paid Internship) Location: Remote Experience: 0-1 year Start Date: Immediate / As per availability Stipend: Competitive About SolvusAI: SolvusAI is a fast-growing AI consulting and solutioning firm helping global enterprises unlock the power of Generative AI and Machine Learning to solve real business problems. We work across industries to deliver high-impact AI strategies, advisory, and implementation solutions that create tangible value. At SolvusAI, we value curiosity, ownership, and adaptability. Whether it's through rapid prototyping, cloud-native architectures, or cutting-edge LLMs, we believe in moving fast and building smart. Join us, and be part of a collaborative, future-focused team that’s redefining what AI can do for the enterprise. Are you driven by curiosity and a passion for AI, Gen-AI, and data-driven innovation? Do you want to work at the forefront of AI development - building intelligent agents, optimizing scalable workflows, and applying cutting-edge models to real-world challenges? Key Responsibilities Design and implement scalable, maintainable, and robust AI/ML systems Build and fine-tune ML/DL models using core concepts like feature engineering, model evaluation, and architecture selection (e.g., CNNs, Transformers) to solve business problems Work on agentic workflows and intelligent orchestration of LLMs using tools like LangChain or Semantic Kernel Design and deploy RESTful APIs for AI services and intelligent pipelines Integrate and evaluate vector databases (e.g., FAISS, Chroma, Pinecone) with LLMs for RAG-based systems Validate and monitor AI models through rigorous testing (unit, integration, adversarial) ensuring generalization and fairness Identify and mitigate risks related to bias, drift, and hallucinations in generative models Deploy solutions to cloud environments (AWS, Azure, GCP) using CI/CD principles Collaborate closely with cross-functional teams to translate business needs into AI-first solutions Must-Have Skills & Qualifications Bachelor's degree in engineering/technology. Final year engineering students with relevant skillsets and bandwidth can also apply 0-1 year of industry experience in AI/ML development Strong programming skills in Python, with experience in FastAPI Good understanding of core ML/DL concepts: supervised/unsupervised learning, overfitting, regularization, CNNs, Transformers, etc. Experience with SQL and basic data engineering principles Familiarity with foundational Gen-AI concepts (e.g., embeddings, prompting, fine-tuning) and models (ChatGPT, LLaMA 2/3, Mistral, Claude, etc.) Exposure to frameworks like LangChain or LlamaIndex Understanding of agent-based workflows and AI task automation Analytical mindset and strong debugging/problem-solving skills Good communication and collaboration abilities in a remote work environment Preferred Skills Knowledge of RLHF, prompt engineering, few-shot learning Experience with data labelling, evaluation frameworks, and synthetic data generation Understanding of monitoring tools for model performance, latency, and observability Working knowledge of cloud deployments and containerization (Docker, basic Kubernetes is a plus) Why Join SolvusAI? Work at the cutting edge of applied AI and Gen-AI Collaborate with a high-energy, impact-driven team Flexible remote environment Ownership and visibility across projects from day one Opportunity to shape the future of intelligent automation How to Apply: Excited to kickstart your journey in AI and work on real-world problems? Send us your resume and a short note on why you're interested in this role to careers@solvusai.com after applying on LinkedIn.

Description and Requirements "At BMC trust is not just a word - it's a way of life!" Hybrid Description and Requirements "At BMC trust is not just a word - it's a way of life!" We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud! We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation! The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis. BMC AMI Cost and Capacity Management - As digitization increases, so does the complexity of managing mainframe capacity and costs. BMC AMI Cost and Capacity portfolio increases availability, predicts capacity bottlenecks before they occur, and optimizes mainframe software costs. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: We are seeking a Python with AI/ML Developer to join a highly motivated team responsible for developing and maintaining innovation for mainframe capacity and cost management. As an Application Developer at BMC, you will be responsible for: Developing and integrating AI/ML models with a focus on Generative AI (GenAI), Retrieval-Augmented Generation (RAG), and Vector Databases to enhance intelligent decision-making. Building scalable AI pipelines for real-time and batch inference, optimizing model performance, and deploying AI-driven applications. Implementing RAG-based architectures using LLMs (Large Language Models) for intelligent search, chatbot development, and knowledge management. Utilizing vector databases (e.g., FAISS, ChromaDB, Weaviate, Pinecone) to enable efficient similarity search and AI-driven recommendations. Developing modern web applications using Angular to create interactive and AI-powered user interfaces. Developing APIs and microservices to expose AI/ML models for enterprise applications. Processing and analyzing structured & unstructured data, including text, images, and time-series data for AI/ML applications. Optimizing ML models for performance and scalability, ensuring low latency and high availability in production. Staying updated with advancements in GenAI, NLP, transformers, and deep learning architectures to drive innovation. Collaborating with cross-functional teams to integrate AI capabilities into existing applications and workflows. To ensure you’re set up for success, you will bring the following skillset & experience: Strong proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers, LangChain. Experience with Vector Databases (FAISS, ChromaDB, Weaviate, Pinecone) for semantic search and embeddings. Hands-on expertise in LLMs (GPT, LLaMA, Mistral, Claude, etc.) and fine-tuning/customizing models. Proficiency in Retrieval-Augmented Generation (RAG) and prompt engineering for AI-driven applications. Experience with Angular for developing interactive web applications. Experience with RESTful APIs, FastAPI, Flask, or Django for AI model serving. Working knowledge of SQL and NoSQL databases for AI/ML applications. Hands-on experience with Git/GitHub, Docker, and Kubernetes for AI/ML model deployment. Whilst these are nice to have, our team can help you develop in the following skills: Experience with knowledge graphs, semantic search, and enterprise AI applications. Additional experience with .NET v7+ and cross-platform .NET development would be helpful. Exposure to IBM z/OS mainframe environments and AI-driven optimization for legacy systems. Background in statistical data analysis, reinforcement learning, or advanced ML techniques. Our commitment to you! BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU! If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas! BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page. BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process. At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 4,166,900 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs. The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits. We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices. ( Returnship@BMC ) Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply.

About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore We Are An Equal Opportunity Employer: Zycus is committed to providing equal opportunities in employment and creating an inclusive work environment. We do not discriminate against applicants on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected characteristic. All hiring decisions will be based solely on qualifications, skills, and experience relevant to the job requirements. Job Description We seek an innovative AI Engineer (Experience 2 - 5 yrs) to join our team and lead the development of scalable solutions using open-source technologies, LLM APIs , and advanced AI techniques. The ideal candidate will excel in designing RAG, Graph RAG, Agent Systems with function calling , and fine-tuning/customizing LLMs. Proficiency in hosting open-source models (e.g., Llama 2, Mistral) and integrating APIs (OpenAI, Anthropic, etc.) is critical, along with experience in Python frameworks like Fast API/Flask for production-grade deployments. Key Responsibilities: Architect, build, and optimize AI solutions using open-source models (e.g., Hugging Face, Ollama) and third-party LLM APIs. Design and implement advanced techniques including RAG, GraphRAG, Agent Systems with orchestration/function calling, and fine-tuning/prompt-tuning of LLMs. Deploy and manage self-hosted open-source models (e.g., via vLLM, TensorRT-LLM) with scalable APIs. Collaborate with teams to integrate AI/ML solutions into production systems using FastAPI, Flask, or similar frameworks. Develop automation pipelines for data retrieval, preprocessing, and model evaluation, ensuring alignment with business use cases. Stay ahead of AI trends (e.g., open-source LLM advancements, cost-efficient scaling) and drive strategic adoption. Ensure robust monitoring, testing, and documentation of systems for reliability and reproducibility. Five Reasons Why You Should Join Zycus Cloud Product Company: We are a Cloud SaaS Company, and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS, and we are developing our mobile apps using React. A Market Leader: Zycus is recognized by Gartner (world’s leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features. About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore Job Requirement Experience & Qualifications: Bachelor’s/master’s in computer science, AI, or related field. Expertise in Python and backend frameworks like FastAPI/Flask. Hands-on experience with RAG architectures, Agent Systems (function calling/tool use), GraphRAG, or similar LLM-driven workflows. Ability to fine-tune LLMs (LoRA, QLoRA) and host/deploy open-source models (Llama 2, Mistral, etc.). Proficiency with LLM APIs (OpenAI, Anthropic, Groq) and vector databases (Pinecone, Qdrant, pgvector). Familiarity with NLP/ML frameworks (PyTorch, Transformers, LangChain, LlamaIndex) and cloud platforms (AWS, Azure, GCP). Skilled in building scalable APIs and microservices for AI applications. Preferred Qualifications: Experience optimizing inference for open-source models (quantization, distillation). Familiarity with multi-agent systems, chain-of-thought prompting, or LLM eval frameworks. Knowledge of distributed training, GPU optimization, and MLOps (MLflow, Kubeflow). Contributions to open-source AI/ML projects.

About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore We Are An Equal Opportunity Employer: Zycus is committed to providing equal opportunities in employment and creating an inclusive work environment. We do not discriminate against applicants on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected characteristic. All hiring decisions will be based solely on qualifications, skills, and experience relevant to the job requirements. Job Description We seek an innovative AI Engineer (Experience 2 - 5 yrs) to join our team and lead the development of scalable solutions using open-source technologies, LLM APIs , and advanced AI techniques. The ideal candidate will excel in designing RAG, Graph RAG, Agent Systems with function calling , and fine-tuning/customizing LLMs. Proficiency in hosting open-source models (e.g., Llama 2, Mistral) and integrating APIs (OpenAI, Anthropic, etc.) is critical, along with experience in Python frameworks like Fast API/Flask for production-grade deployments. Key Responsibilities: Architect, build, and optimize AI solutions using open-source models (e.g., Hugging Face, Ollama) and third-party LLM APIs. Design and implement advanced techniques including RAG, GraphRAG, Agent Systems with orchestration/function calling, and fine-tuning/prompt-tuning of LLMs. Deploy and manage self-hosted open-source models (e.g., via vLLM, TensorRT-LLM) with scalable APIs. Collaborate with teams to integrate AI/ML solutions into production systems using FastAPI, Flask, or similar frameworks. Develop automation pipelines for data retrieval, preprocessing, and model evaluation, ensuring alignment with business use cases. Stay ahead of AI trends (e.g., open-source LLM advancements, cost-efficient scaling) and drive strategic adoption. Ensure robust monitoring, testing, and documentation of systems for reliability and reproducibility. Five Reasons Why You Should Join Zycus Cloud Product Company: We are a Cloud SaaS Company, and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS, and we are developing our mobile apps using React. A Market Leader: Zycus is recognized by Gartner (world’s leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features. About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore Job Requirement Experience & Qualifications: Bachelor’s/master’s in computer science, AI, or related field. Expertise in Python and backend frameworks like FastAPI/Flask. Hands-on experience with RAG architectures, Agent Systems (function calling/tool use), GraphRAG, or similar LLM-driven workflows. Ability to fine-tune LLMs (LoRA, QLoRA) and host/deploy open-source models (Llama 2, Mistral, etc.). Proficiency with LLM APIs (OpenAI, Anthropic, Groq) and vector databases (Pinecone, Qdrant, pgvector). Familiarity with NLP/ML frameworks (PyTorch, Transformers, LangChain, LlamaIndex) and cloud platforms (AWS, Azure, GCP). Skilled in building scalable APIs and microservices for AI applications. Preferred Qualifications: Experience optimizing inference for open-source models (quantization, distillation). Familiarity with multi-agent systems, chain-of-thought prompting, or LLM eval frameworks. Knowledge of distributed training, GPU optimization, and MLOps (MLflow, Kubeflow). Contributions to open-source AI/ML projects.

We're Hiring: Vibe Coder (AI-First, Full Stack Energy) Location: Onsite (Hyderabad preferred) Experience: 1-3 Years Preferred (Freshers can apply) Type: Full-Time HealthPay is on a mission to revolutionize health insurance claims in India with AI—eliminating manual drudgery and transforming hours of paperwork into minutes of streamlined automation. We’re building with intelligent agents, modular pipelines, and a team that moves fast and ships smart. If you’re the kind of coder who loves to experiment, prototype, and bring good energy to every project—someone who vibes with AI tools, thrives in ambiguity, and wants to see their code make a real-world impact—this is your place. What You’ll Do: Build and ship full stack features that make agentic workflows seamless for users and ops teams Rapidly prototype with tools like Cursor, GPT-4, Claude, and LangGraph—turning ideas into production code Collaborate with AI engineers, founders, and sales to bridge backend magic with user-facing experiences Integrate LLMs and automation into APIs, dashboards, and internal tools Write code that’s clean, testable, and always improving—no ego, just results Deploy, monitor, and iterate on systems in live healthcare environments (TPAs, hospitals, insurers) Who You Are: Python pro (FastAPI, LangChain, async) with a love for learning new frameworks Hands-on with LLMs (Claude, GPT-4, Gemini, Mistral) and AI-first dev tools (Cursor, Copilot, Cody) Excited by multi-agent systems, memory/state management, and orchestrating smart workflows Comfortable across the stack—APIs, microservices, async jobs, and a bit of frontend (React or similar) High agency, fast learner, and always ready to ship Thrive in a startup: ambiguity, autonomy, and a bias for action Bonus Points: Experience with ETL/data pipelines, vector stores, or document processing Exposure to healthcare, insurance, or fintech Familiarity with Redis, PostgreSQL, Docker, or cloud infra You’ve hacked together cool projects using AI agents or built tools that make work fun What’s in It for You: Ownership and autonomy from Day 1 Access to the latest AI tools and real-world use cases Direct mentorship from founders and senior AI engineers Influence the architecture and culture of a fast-growing AI company Flexible work model, performance-based equity, and a high-energy team that values good vibes How to Apply: Email your resume, portfolio, or a link to something you’ve built to Akshith@cardit.in cc: bhavish@cardit.in, maneesh@cardit.in with the subject: “Vibe Coder (experience ex: 2 years) – HealthPay” Job Types: Full-time, Fresher, Internship Pay: ₹350,000.00 - ₹500,000.00 per year Benefits: Flexible schedule Work from home Schedule: Monday to Friday Weekend availability Supplemental Pay: Performance bonus Work Location: In person

Exp : 15Yrs to 20yrs Primary skill :- GEN AI Architect, Building GEN AI solutions, Coding, AI ML background, Data engineering, Azure or AWS cloud. Job Description : The Generative Solutions Architect will be responsible for designing and implementing cutting-edge generative AI models and systems. He / She will collaborate with data scientists, engineers, product managers, and other stakeholders to develop innovative AI solutions for various applications including natural language processing (NLP), computer vision, and multimodal learning. This role requires a deep understanding of AI/ML theory, architecture design, and hands-on expertise with the latest generative models. Key Responsibilities : GenAI application conceptualization and design: Understand the use cases under consideration, conceptualization of the application flow, understanding the constraints and designing accordingly to get the most optimized results. Deep knowledge to work on developing and implementing applications using Retrieval-Augmented Generation (RAG)-based models, which combine the power of large language models (LLMs) with information retrieval techniques. Prompt Engineering: Be adept at prompt engineering and its various nuances like one-shot, few shot, chain of thoughts etc and have hands on knowledge of implementing agentic workflow and be aware of agentic AI concepts NLP and Language Model Integration - Apply advanced NLP techniques to preprocess, analyze, and extract meaningful information from large textual datasets. Integrate and leverage large language models such as LLaMA2/3, Mistral or similar offline LLM models to address project-specific goals. Small LLMs / Tiny LLMs: Familiarity and understanding of usage of SLMs / Tiny LLMs like phi3, OpenELM etc and their performance characteristics and usage requirements and nuances of how they can be consumed by use case applications. Collaboration with Interdisciplinary Teams - Collaborate with cross-functional teams, including linguists, developers, and subject matter experts, to ensure seamless integration of language models into the project workflow. Text / Code Generation and Creative Applications - Explore creative applications of large language models, including text / code generation, summarization, and context-aware responses. Skills & Tools Programming Languages - Proficiency in Python for data analysis, statistical modeling, and machine learning. Machine Learning Libraries - Hands-on experience with machine learning libraries such as scikit-learn, Huggingface, TensorFlow, and PyTorch. Statistical Analysis - Strong understanding of statistical techniques and their application in data analysis. Data Manipulation and Analysis - Expertise in data manipulation and analysis using Pandas and NumPy. Database Technologies - Familiarity with vector databases like ChromaDB, Pinecone etc, SQL and Non-SQL databases and experience working with relational and non-relational databases. Data Visualization Tools - Proficient in data visualization tools such as Tableau, Matplotlib, or Seaborn. Familiarity with cloud platforms (AWS, Google Cloud, Azure) for model deployment and scaling. Communication Skills - Excellent communication skills with the ability to convey technical concepts to non-technical audiences.

About the Role We are seeking a Generative AI Engineer with 69 years of experience who can independently explore, prototype, and present the art of the possible using LLMs, agentic frameworks, and emerging Gen AI techniques. This role combines deep technical hands-on development with non-technical influence and presentation skills. You will contribute to key Gen AI innovation initiatives, help define new protocols (like MCP and A2A) and deliver fully functional prototypes that push the boundaries of enterprise AI — not just in Jupyter notebooks, but as real applications ready for production exploration. Key Responsibilities LLM Applications & Agentic Frameworks Design and implement end-to-end LLM applications using OpenAI, Claude, Mistral, Gemini, or LLaMA on AWS, Databricks, Azure or GCP. Build intelligent, autonomous agents using LangGraph, AutoGen, LlamaIndex, Crew.ai, or custom frameworks. Develop Multi Model, Multi Agent, Retrieval-Augmented Generation (RAG) applications with secure context embedding and tracing with reports. Rapidly explore and showcase the art of the possible through functional, demonstrable POCs Advanced AI Experimentation Fine-tune LLMs and Small Language Models (SLMs) for domain-specific use. Create and leverage synthetic datasets to simulate edge cases and scale training. Evaluate agents using custom agent evaluation frameworks (success rates, latency, reliability) Evaluate emerging agent communication standards A2A (Agent-to-Agent) and MCP (Model Context Protocol) Business Alignment & Cross-Team Collaboration Translate ambiguous requirements into structured, AI-enabled solutions. Clearly communicate and present ideas, outcomes, and system behaviors to technical and non-technical stakeholders Good-To-Have Microsoft Copilot Studio DevRev Codium Cursor Atlassian AI Databricks Mosaic AI Qualifications 6–9 years of experience in software development or AI/ML engineering At least 3 years working with LLMs, GenAI applications, or agentic frameworks. Proficient in AI/ML, MLOps concepts, Python, embeddings, prompt engineering, and model orchestration Proven track record of developing functional AI prototypes beyond notebooks. Strong presentation and storytelling skills to clearly convey GenAI concepts and value. Ability to independently drive AI experiments fro

As the Head of AI Platforms (f/m/d) , you will lead the design, management, and evolution of Siemens’ AI platform ecosystem, encompassing advanced technologies such as machine learning, deep learning, and generative AI. Your role emphasizes empowering data teams and developers to maximize AI capabilities, ensuring Siemens remains at the forefront of AI innovation with robust and scalable solutions. Incorporate cutting-edge generative AI methodologies, including Retrieval-Augmented Generation (RAG) and Agentic AI, to enhance performance and creativity within AI applications. Foster collaboration with leading AI innovators such as OpenAI, Anthropic, and Mistral, leveraging their advancements and insights to drive Siemens' AI strategy. Your Problem-Solving Mindset Creates Real Business Value Take on this crucial role and deliver tangible business value through your innovative problem-solving skills. As the Head of AI Platforms, you will architect Siemens' AI infrastructure to not only meet current demands but anticipate future requirements in a rapidly evolving digital landscape. Embrace generative AI elements like RAG and Agentic AI, enabling Siemens to leverage AI that is both innovative and adaptive. Cultivate partnerships with AI leaders like OpenAI, Anthropic, and Mistral to integrate state-of-the-art technologies and methodologies. Your primary responsibility will be to cultivate and guide a high-performing team of AI specialists who ensure the reliability, scalability, and excellence of our AI platform offerings. Providing mentoring, addressing challenges, and enabling developmental opportunities will be key to team success. You will ensure that the AI platforms integrate with the other Siemens Data & AI Cloud (SDC) services like Snowflake, for a seamless user experience. Champion an agile working environment, instilling methodologies that enhance productivity and responsiveness. Oversee critical areas such as resource allocation, risk mitigation, and reporting to streamline operations for Siemens’ success. Build strategic partnerships with internal clients and stakeholders, enhancing Siemens' ability to harmonize AI solutions. Take ownership of pivotal projects and work closely with business units to achieve exceptional outcomes. Stay informed about emerging technologies in generative AI and system integration, advocating for their adoption to reinforce Siemens' leadership in AI accessibility and management. Use Your Skills To Move The World Forward Education: University Degree in Mathematics, Computer Science, Business Administration, or equivalent practical experience Experience & Skills Over 3 years of leading international AI-platform-focused teams and more than 2 years in people management roles Superior communication, mediation abilities, and customer-centric approach Expertise in program management related to AI platforms, analytics, and technology integration Proficiency in cloud environments such as AWS, Azure, or Google Cloud Platform Strong understanding of AI governance, compliance, and security standards Development of scalable AI infrastructures, including machine learning pipelines and platforms Proficient in emerging AI tools and technologies, with the ability to implement AI strategies effectively Experience with Retrieval-Augmented Generation (RAG) and Agentic AI Clear communication with senior management and skilled mentoring of AI and data science teams Familiarity with agile methodologies including Scrum Languages: Business fluency in English and strategic thinking to translate technical concepts into business impact You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you! Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. What We Offer You An attractive remuneration package Access to Siemens share plans 30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family 2 to 3 days of mobile working per week as a global standard Up tp 30 days workation per year in certain countries (Global) development programs that can be customized according to your wishes and ambitions Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here. The individual benefits are subject to regulatory, contractual, or corporate conditions. About Us At Siemens, we are leading the way with groundbreaking digitalization strategies that are revolutionizing industries. Our AI platforms, tools, and security systems empower developers to realize these innovations. As the Head of AI Platforms, you’ll leverage advanced AI technologies, including generative AI, utilize your IT expertise, and drive enterprise transformation. Work behind the scenes but make an impactful difference! Join us to harness our resources and engage with a global network of dedicated IT professionals. Welcome to our world of exciting opportunities! www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens. FAQ – if you need further information on the application process.

Key Responsibilities: Define and own the end-to-end architecture of GenAI solutions Design, prototype, and implement LLM-based systems, including RAG pipelines, fine-tuning, and prompt engineering. Lead evaluation and integration of foundation models (OpenAI, Claude, Mistral, Meta, etc.) and open-source alternatives (LLaMA, Falcon,etc.). Collaborate with cross-functional teams (Data, DevOps, Product, Security) to integrate GenAI into enterprise systems securely and at scale. Architect LangChain, Haystack, or similar frameworks for orchestration of tool use and agentic workflows. Guide teams on model fine-tuning, embeddings, vector store design, and knowledge base integration. Stay current with GenAI research and industry trends, and drive adoption of relevant innovations. Mentor and lead junior AI engineers and data scientists. Interface with stakeholders to translate business needs into technical architectures and scalable GenAI solutions. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Key Responsibilities Define and own the end-to-end architecture of GenAI solutions Design, prototype, and implement LLM-based systems, including RAG pipelines, fine-tuning, and prompt engineering. Lead evaluation and integration of foundation models (OpenAI, Claude, Mistral, Meta, etc.) and open-source alternatives (LLaMA, Falcon,etc.). Collaborate with cross-functional teams (Data, DevOps, Product, Security) to integrate GenAI into enterprise systems securely and at scale. Architect LangChain, Haystack, or similar frameworks for orchestration of tool use and agentic workflows. Guide teams on model fine-tuning, embeddings, vector store design, and knowledge base integration. Stay current with GenAI research and industry trends, and drive adoption of relevant innovations. Mentor and lead junior AI engineers and data scientists. Interface with stakeholders to translate business needs into technical architectures and scalable GenAI solutions.

Role: AI Workflow Architect Location: Kolkata We are looking for AI Workflow Architects who can prototype intelligent AI agents and build internal tools that streamline workflows, automate decisions, and support both creative and business teams. Key Responsibilities: Design and test AI agents using LLMs (e.g. GPT, Claude, Mistral) for internal task automation and knowledge workflows. Use langchain, langgraph to build low-code/no-code automated workflows , integrating with internal tools, APIs, and AI services. Develop tools to support content creation workflows – including script ideation, character consistency checks, and visual storyboarding. Collaborate with developers to integrate prototypes into existing stacks (via API hooks or UI components). Explore and build on RAG pipelines , prompt engineering , and agent frameworks (LangChain, AutoGen, CrewAI, etc.). Contribute to dashboards and AI-powered visual tools that assist with business oversight and decisioning. Ideal Background: 0–2 years' experience (or demonstrable projects) in AI automation, LLMs, or creative tech tools. Hands-on with Python , langchain, langgraph , and AI APIs (OpenAI, Hugging Face, etc.). Interest in creative AI, business systems, and rapidly building usable internal tools.

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 . 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. 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.

Job Information Date Opened 07/02/2025 Job Type On Contract RSD NO 11375 Industry IT Services Min Experience 4 Max Experience 6 City Chennai State/Province Tamil Nadu Country India Zip/Postal Code 600086 Job Description Seeking a skilled and hands-on AI/LLM Engineer to join the AI development team. Ideal candidate will have strong experience with Large Language Models (LLMs) , including prompt tuning , model finetuning , and invocation orchestration . Role focuses on designing, integrating, and optimizing LLM-powered systems to improve the overall user experience . Will collaborate closely with product and engineering teams to evaluate, refine, and deploy conversational and generative AI solutions in real-time applications. Key Responsibilities Perform LLM finetuning using techniques such as prompt tuning and lightweight adaptation methods. Build and manage invocation pipelines from applications to different LLMs (e.g., OpenAI, Anthropic, Mistral, local models). Design prompting strategies to elicit accurate, consistent, and contextually relevant model outputs. Define and evaluate LLM responses based on use case relevance, factual accuracy, and UX quality. Continuously iterate and improve the response quality and user experience based on feedback and metrics. Collaborate with product managers and designers to align AI behavior with business needs and product goals. Required Skills & Experience Proven experience working with LLMs , including prompt engineering and finetuning techniques (e.g., LoRA, PEFT, adapters). Familiarity with frameworks such as Hugging Face Transformers , LangChain , or LLamaIndex . Experience in real-time LLM integration into web or mobile applications. Strong understanding of response evaluation frameworks , including qualitative and quantitative methods. Programming proficiency in Python ; experience with deployment tools and APIs is a plus. Ability to work in a fast-paced, collaborative, and iterative development environment. At Indium diversity, equity, and inclusion (DEI) are the cornerstones of our values. We champion DEI through a dedicated council, expert sessions, and tailored training programs, ensuring an inclusive workplace for all. Our initiatives, including the WE@IN women empowerment program and our DEI calendar, foster a culture of respect and belonging. Recognized with the Human Capital Award, we are committed to creating an environment where every individual thrives. Join us in building a workplace that values diversity and drives innovation.

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. Assistant Director – AI / Gen AI Data and Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Mining & Management, Visualization, Business Analytics, Automation and Statistical Insights and AI/GenAI. The assignments cover a wide range of countries and industry sectors. The opportunity We are looking for a Assistant Director - AI/GenAI, proficient in Artificial Intelligence, Machine Learning, deep learning and LLM models for Generative AI, text analytics and Python Programming; will be responsible for developing and delivering industry sectors (Financial services; Consumer, product & Retail; Healthcare & wellness; Manufacturing; Supply chain; telecom; Real Estate etc.) specific solutions which will be used to implement the EY SaT mergers and acquisition methodologies. Your Key Responsibilities Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python. Having relevant understanding of Big Data and Visualization would be one-upping. Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Mistral, etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Claude, Cohere etc.) Large Language Models (LLMS). Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information. Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs. Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application. Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies. Work with project managers to study resource needs and gaps and devise alternative ways forward. Provide expert reviews for all projects within the assigned subject. Ability to communicate with cross functional/competencies teams. Go to Market / Stakeholder Management. Skills And Attributes For Success Able to work creatively and systematically in a time-limited, problem-solving environment Loyal and reliable with high ethical standards Flexible, curious and creative, open for new things and able to propose innovative ideas Good interpersonal skills Team player, open, pleasure to work with and positive in a group dynamic Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision To qualify for the role, you must have Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients Familiar in implementing solutions in Azure Cloud Framework Excellent Presentation Skills 12 – 16 years of relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics. Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Minimum 6 years of experience in working with NLG, LLM, DL Techniques Relevant understanding of Deep Learning and neural network techniques Expertise in implementing applications using open source and proprietary LLM models Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools Minimum of 6-9 years of programming in Python Experience with the software development life cycle (SDLC) and principles of product development Willingness to mentor team members Solid thoughtfulness, technical and problem-solving skills Excellent written and verbal communication skills Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of clients Willingness to travel extensively and to work on client sites / practice office locations 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-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. 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.

Job Title : AI Prompt Engineer Location: Fully Remote Work Hours: 4 PM to 1:30 AM IST with daylight savings (Till 3 PM CST) Experience Required: 2+ Years As a Prompt Engineer, you will design, evaluate, and refine prompts that drive intelligent behavior in AI-enabled features across our platform. You will work closely with data scientists, engineers, and product leaders to develop prompt frameworks and dialogue flows that power agentic orchestration, helping patients navigate complex health journeys. Responsibilities Architect reusable prompt templates for multi-turn conversational flows, including clarification, escalation, human-in-the-loop, and action triggering Work with engineers and data scientists to test and optimize RAG-based search prompts Create and maintain prompt libraries with robust versioning and testing frameworks Collaborate on agentic workflows that help agents act autonomously and intelligently across clinical, scheduling, and care navigation use cases Evaluate prompt performance using real-time analytics and partner with the data science team to iterate Support safe prompt handling of PHI, bias mitigation, and hallucination reduction Develop challenger agents and evaluation agents to confirm agent output and ensure safe and consistent messaging to MyBSWHealth customers Minimum Qualifications Bachelor's degree in Computer Science, Linguistics, Philosophy, Cognitive Science, or comparable experience in industry or a related field 2+ years working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production settings Experience with prompt engineering, RAG, or agentic AI architectures Familiarity with healthcare – or other regulated industry - workflows, EHR systems, or clinical terminology is a plus Strong understanding of conversational UX and prompt evaluation metrics Experience with Pydantic AI python library and n8n workflow automation software suite preferred

AXISCADES is a leading, end to end engineering solutions and product company. We bring expertise that caters to the digital, engineering, and smart manufacturing needs of large enterprises. With decades of experience in creating innovative, sustainable, and safer products worldwide, AXISCADES delivers business value across the entire engineering life cycle. Our deep domain expertise and engineering solution portfolio covers the complete product development life cycle from concept evaluation to manufacturing support and certification for the Aerospace, Defense, Heavy Engineering, Automotive, Medical Devices & Industrial Product industries. AXISCADES is headquartered in Bangalore and has offices across India, North America, Europe and the Asia Pacific region. URL: https://www.axiscades.com Our subsidiaries Mistral Solutions: https://www.mistralsolutions.com Epcogen - https://www.epcogen.com Add Solutions- https://www.add-solution.de/en/ Job Title: Manufacturing Head Employment Type: Fulltime permanent Location: Hebbal, Bengaluru, KA General Description: We are looking for a seasoned and strategic Manufacturing Head with 18–20 years of experience in manufacturing engineering , specializing in sheet metal , machining , composites , and assembly processes . The ideal candidate will lead the manufacturing function, drive operational excellence, and ensure alignment with business goals and customer expectations. Key Responsibilities: Oversee end-to-end manufacturing operations including process planning, production, quality, and delivery. Develop and implement manufacturing strategies for sheet metal, machining, composites, and assembly. Collaborate with design, engineering, and supply chain teams to ensure manufacturability and cost-effectiveness. Drive continuous improvement initiatives across processes, tools, and technologies. Ensure compliance with industry standards, safety regulations, and customer requirements. Manage budgets, resource allocation, and production schedules to meet business targets. Evaluate and onboard new manufacturing technologies and automation solutions. Interface with customers and suppliers to resolve technical and delivery issues. Team Leadership : Lead and develop a high-performing manufacturing engineering team. Foster a culture of accountability, innovation, and collaboration. Set clear goals, monitor performance, and provide coaching and mentorship. Build cross-functional alignment with internal and external stakeholders. Champion employee engagement and professional development. Qualification: Bachelor’s or master’s degree in mechanical engineering, Manufacturing Engineering, or related field. 18–20 years of experience in manufacturing engineering and operations. Deep expertise in sheet metal fabrication, precision machining, composite materials, and assembly processes. Proven track record of leading large teams and managing complex manufacturing programs. Strong understanding of lean manufacturing, Six Sigma, and quality systems. Excellent leadership, communication, and stakeholder management skills. Preferred Qualifications: Experience in aerospace, automotive, or industrial engineering sectors. Exposure to digital manufacturing, Industry 4.0, and smart factory initiatives. Six Sigma Black Belt, or similar certifications. “We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status"

AXISCADES is a leading, end to end engineering solutions and product company. We bring expertise that caters to the digital, engineering, and smart manufacturing needs of large enterprises. With decades of experience in creating innovative, sustainable, and safer products worldwide, AXISCADES delivers business value across the entire engineering life cycle. Our deep domain expertise and engineering solution portfolio covers the complete product development life cycle from concept evaluation to manufacturing support and certification for the Aerospace, Defense, Heavy Engineering, Automotive, Medical Devices & Industrial Product industries. AXISCADES is headquartered in Bangalore and has offices across India, North America, Europe and the Asia Pacific region. URL: https://www.axiscades.com Our subsidiaries Mistral Solutions: https://www.mistralsolutions.com Epcogen - https://www.epcogen.com Add Solutions- https://www.add-solution.de/en/ Job Title: Manufacturing Head Employment Type: Fulltime permanent Location: Hebbal, Bengaluru, KA General Description: We are looking for a seasoned and strategic Manufacturing Head with 18–20 years of experience in manufacturing engineering , specializing in sheet metal , machining , composites , and assembly processes . The ideal candidate will lead the manufacturing function, drive operational excellence, and ensure alignment with business goals and customer expectations. Key Responsibilities: Oversee end-to-end manufacturing operations including process planning, production, quality, and delivery. Develop and implement manufacturing strategies for sheet metal, machining, composites, and assembly. Collaborate with design, engineering, and supply chain teams to ensure manufacturability and cost-effectiveness. Drive continuous improvement initiatives across processes, tools, and technologies. Ensure compliance with industry standards, safety regulations, and customer requirements. Manage budgets, resource allocation, and production schedules to meet business targets. Evaluate and onboard new manufacturing technologies and automation solutions. Interface with customers and suppliers to resolve technical and delivery issues. Team Leadership : Lead and develop a high-performing manufacturing engineering team. Foster a culture of accountability, innovation, and collaboration. Set clear goals, monitor performance, and provide coaching and mentorship. Build cross-functional alignment with internal and external stakeholders. Champion employee engagement and professional development. Qualification: Bachelor’s or master’s degree in mechanical engineering, Manufacturing Engineering, or related field. 18–20 years of experience in manufacturing engineering and operations. Deep expertise in sheet metal fabrication, precision machining, composite materials, and assembly processes. Proven track record of leading large teams and managing complex manufacturing programs. Strong understanding of lean manufacturing, Six Sigma, and quality systems. Excellent leadership, communication, and stakeholder management skills. Preferred Qualifications: Experience in aerospace, automotive, or industrial engineering sectors. Exposure to digital manufacturing, Industry 4.0, and smart factory initiatives. Six Sigma Black Belt, or similar certifications. “We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status"

AXISCADES is a leading, end to end engineering solutions and product company. We bring expertise that caters to the digital, engineering, and smart manufacturing needs of large enterprises. With decades of experience in creating innovative, sustainable, and safer products worldwide, AXISCADES delivers business value across the entire engineering life cycle. Our deep domain expertise and engineering solution portfolio covers the complete product development life cycle from concept evaluation to manufacturing support and certification for the Aerospace, Defence, Heavy Engineering, Automotive, Medical Devices & Industrial Product industries. AXISCADES is headquartered in Bangalore and has offices across India, North America, Europe and the Asia Pacific region. URL: https://www.axiscades.com Our Subsiders Mistral Solutions: https://www.mistralsolutions.com Epcogen - https://www.epcogen.com Add Solutions- https://www.add-solution.de/en/ Job Title: Supply Chain Manager Employment Type: Fulltime permanent Location: Hebbal, Bengaluru, KA We are seeking a proactive and experienced Supply Chain Manager with 10–12 years of industry experience to lead and optimize supply chain operations. The ideal candidate will work closely with in-house engineering teams, external suppliers, and customers to ensure efficient material flow, timely deliveries, and alignment with project and business goals. Key Responsibilities: •Develop and execute supply chain strategies to support engineering and production requirements. •Collaborate with internal engineering teams to understand technical specifications and procurement needs. •Identify and onboard suppliers based on customer requirements, technical capabilities, and cost-effectiveness. •Conduct regular supplier assessments covering quality, delivery performance, capacity, and compliance. •Manage supplier relationships, including sourcing, negotiation, performance monitoring, and risk mitigation. •Coordinate with customers to align delivery schedules, resolve supply issues, and ensure satisfaction. •Oversee inventory management, logistics, and demand planning. •Implement process improvements to enhance supply chain efficiency and cost-effectiveness. •Ensure compliance with quality standards, contractual obligations, and regulatory requirements. •Use data-driven insights to forecast demand and optimize procurement cycles. Team Leadership: •Lead and mentor a team of supply chain professionals. •Promote a culture of collaboration, accountability, and continuous improvement. •Set clear objectives, monitor performance, and support professional development. •Facilitate cross-functional coordination between engineering, manufacturing, and logistics teams. Qualification: •Bachelor’s degree in engineering, Business Administration, or related field. •10–12 years of experience in supply chain management, preferably in engineering or manufacturing environments. •Strong understanding of procurement, logistics, inventory control, and supplier management. •Experience working with engineering teams and interpreting technical requirements. •Excellent negotiation, communication, and stakeholder management skills. •Proficiency in ERP systems and supply chain analytics tools. Preferred Qualifications: •Experience in aerospace, automotive, or industrial manufacturing sectors. •Certification in supply chain management (e.g., CSCP, CPIM, PMP). •Familiarity with lean principles and digital supply chain technologies. “We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status"

Job Description**Job Title: AI/ML Engineer (Agentic AI, LLMs, Deep Learning) ** **Experience Level: ** 3–4 Years **Job Type: ** Full-Time **About the Role: ** We are seeking a skilled and motivated AI/ML Engineer to join our team in building intelligent, agentic systems for the casino gaming domain. The ideal candidate will have hands-on experience with agent frameworks—particularly LangGraph—and a solid foundation in machine learning, large language models (LLMs), and deep learning architectures. This role involves working at the intersection of cutting-edge AI and applied software engineering. **Responsibilities: ** Design, build, and optimize AI agents using agentic AI frameworks (e.g., LangGraph) for domain-specific tasks Collaborate on the development and fine-tuning of both open-source and proprietary LLMs Develop robust RESTful APIs using frameworks such as FastAPI or Flask to support AI model deployment and integration Conduct experimentation and evaluation of foundational models and neural network architectures Maintain and enhance model performance through data curation, retraining, and optimization Contribute to technical design discussions and participate in architecture reviews Stay updated with emerging research and advancements in AI/ML, especially in reinforcement learning, agent design, and LLM systems **Requirements: ** 3–4 years of professional experience in machine learning and applied AI Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers) Hands-on experience with agentic AI frameworks (LangGraph preferred) Strong understanding of foundational models, neural networks, and deep learning principles Experience working with large language models, both open-source (e.g., LLaMA, Mistral) and closed (e.g., OpenAI GPT, Claude) Solid experience in building and maintaining RESTful APIs using FastAPI or Flask Bachelor’s degree in computer science, Engineering, or a related field (master’s preferred) **Nice to Have: ** Experience in the gaming or casino domain Familiarity with MLOps tools and model deployment pipelines