2126 Openai Jobs - Page 8

About The Role Grade Level (for internal use): 12 The Team As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team you will spearhead the design and delivery of robust, scalable ML infrastructure and pipelines that power natural language understanding, data extraction, information retrieval, and data sourcing solutions for S&P Global. You will define AI/ML engineering best practices, mentor fellow engineers and data scientists, and drive production-ready AI products from ideation through deployment. You’ll thrive in a (truly) global team that values thoughtful risk-taking and self-initiative. What’s In It For You Be part of a global company and build solutions at enterprise scale Lead and grow a technically strong ML engineering function Collaborate on and solve high-complexity, high-impact problems Shape the engineering roadmap for emerging AI/ML capabilities (including GenAI integrations) Key Responsibilities Architect, develop, and maintain production-ready data acquisition, transformation, and ML pipelines (batch & streaming) Serve as a hands-on lead-writing code, conducting reviews, and troubleshooting to extend and operate our data platforms Apply best practices in data modeling, ETL design, and pipeline orchestration using cloud-native solutions Establish CI/CD and MLOps workflows for model training, validation, deployment, monitoring, and rollback Integrate GenAI components-LLM inference endpoints, embedding stores, prompt services-into broader ML systems Mentor and guide engineers and data scientists; foster a culture of craftsmanship and continuous improvement Collaborate with cross-functional stakeholders (Data Science, Product, IT) to align on requirements, timelines, and SLAs What We’re Looking For 8-12 years' professional software engineering experience with a strong MLOps focus Expert in Python and Apache for large-scale data processing Deep experience deploying and operating ML pipelines on AWS or GCP Hands-on proficiency with container/orchestration tooling Solid understanding of the full ML model lifecycle and CI/CD principles Skilled in streaming and batch ETL design (e.g., Airflow, Dataflow) Strong OOP design patterns, Test-Driven Development, and enterprise system architecture Advanced SQL skills (big-data variants a plus) and comfort with Linux/bash toolsets Familiarity with version control (Git, GitHub, or Azure DevOps) and code review processes Excellent problem-solving, debugging, and performance-tuning abilities Ability to communicate technical change clearly to non-technical audiences Nice To Have Redis, Celery, SQS and Lambda based event driven pipelines Prior work integrating LLM services (OpenAI, Anthropic, etc.) at scale Experience with Apache Avro and Apache Familiarity with Java and/or .NET Core (C#) What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf IFTECH103.2 - Middle Management Tier II (EEO Job Group) Job ID: 317386 Posted On: 2025-06-30 Location: Gurgaon, Haryana, India

About the Role: We are seeking a skilled and motivated Python Developer with 23 years of hands-on experience to join our dynamic engineering team. The ideal candidate will have strong experience in Python and Django , with exposure to modern frontend technologies and a good grasp of systems design and cloud fundamentals. This is an exciting opportunity to work on scalable web applications in a collaborative and fast-paced environment. Key Responsibilities: Develop, maintain, and scale web applications using Python and Django. Design and optimize database schemas and queries using MySQL. Collaborate with frontend developers and contribute to UI components using HTML, CSS (Bootstrap), JavaScript, and jQuery (optional). Participate in code reviews, write unit and integration tests, and follow best practices for software development. Work with version control systems like Git and track tasks and bugs using Jira. Collaborate cross-functionally with product, design, and other engineering teams to deliver high-quality solutions. Maintain clear and effective communication with team members and stakeholders. Desired skills: 2 to 3 years of experience in backend development using Python and Django. Proficient in MySQL and working knowledge of relational database design and optimization. Familiarity with HTML, CSS (Bootstrap), and JavaScript; jQuery is a plus. Comfortable working in Linux-based operating systems for development and deployment. Experience with Git for version control and Jira for project tracking. Strong problem-solving skills and attention to detail. Excellent written and verbal communication skills. Ability to work independently and as part of a collaborative team. Good to have: Understanding of how to integrate Gen AI APIs (like OpenAI, Hugging Face) into web applications or backend systems. Education & Experience: 2 to 3 years of work experience.

Senior GenAI & Agentic AI Expert (Architect) – Remote (Initial Onsite in Dubai) Location: Remote (Initial 1–2 months in Dubai, and then remote from India) T ype: Full-time | Long-term | Direct Client Hire Client: AWS Consulting Partner with 400+ engineers globally About The Role Our client, a global AWS Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber Senior Generative AI Expert with proven hands-on experience in building Agentic AI applications . This role is ideal for someone who has 10 to 15+ years of software engineering and AI/ML experience and is now focused on autonomous AI agents, tool-using LLMs, LangChain, AutoGPT, or similar frameworks . The selected candidate will work remotely, but must be available to relocate to Dubai for the first 4–8 weeks (expenses covered) for onboarding and collaboration. Key Responsibilities Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar) Architect and implement multi-agent systems for enterprise-grade solutions Integrate AI agents with APIs, databases, internal tools, and external SaaS products Lead and mentor a cross-functional team across global time zones Optimize performance, context retention, tool usage, and cost efficiency Build reusable pipelines and modules to support GenAI use cases at scale Ensure enterprise-grade security, privacy, and compliance standards in deployments Collaborate directly with clients and senior stakeholders Ideal Candidate Profile 10 to 15+ years of professional experience in software engineering and AI/ML 3+ years of practical experience in LLM-based application development Strong track record of delivering Agentic AI systems (not just chatbot interfaces) Hands-on experience with: LangChain, AutoGPT, CrewAI, ReAct, Semantic Kernel OpenAI, Claude, Gemini, Mistral, or Llama2 Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.) Prompt engineering, RAG, memory/context management Serverless, Python, Node.js, AWS/GCP/Azure cloud Experience leading engineering teams and working with enterprise clients Excellent communication, documentation, and stakeholder management skills Must be open to initial relocation to Dubai for 1–2 months, followed by remote work from Pakistan/India Why Join? Work with a globally recognized AWS Consulting Partner Lead cutting-edge Agentic AI projects at enterprise scale Collaborate with senior teams across US, Canada, UAE, India, and Pakistan Flexible remote work after Dubai onboarding Competitive compensation + long-term career roadmap Skills: agentic ai,artificial intelligence,vector programming,langchain,llm frameworks,language modeling,openai,generative ai,autogpt,llama2,semantic kernel,vector databases,prompt engineering

About the Role Orange MonkE is on the lookout for an AI Agent Builder who can help us automate internal processes, build intelligent chatbots , and develop research bots to empower our team, enhance operational efficiency, and unlock new levels of scalability. This is a hands-on technical role for someone who understands the power of LLMs, automation tools, APIs, and AI-first workflows — and wants to shape the future of work, one AI agent at a time. Your Key Responsibilities Build, test, and deploy AI agents to automate internal workflows (e.g., reporting, scheduling, data extraction, onboarding, task tracking) Develop AI-powered chatbots that can be used for sales, customer support, and internal queries Create research agents that can gather and summarize data from multiple sources (web, documents, knowledge bases) Integrate agents with tools we use (Slack, Notion, Google Workspace, Trello, Airtable, etc.) Collaborate with different departments to identify repetitive or manual tasks and automate them Ensure AI agents are scalable, reliable, and easy to maintain Continuously optimize AI workflows to reduce human dependency and improve turnaround time Skills & Tools You Should Be Great At Experience with AI automation tools like LangChain, AutoGPT, AgentGPT, Flowise, Zapier, Make.com, Relevance AI, or Crew AI Good understanding of LLMs (OpenAI, Claude, Gemini, etc.) and how to prompt or fine-tune them Ability to connect APIs and build low-code/no-code automations Solid knowledge of Python and JS (preferred) for custom agent scripting Experience in building and maintaining chatbots using Dialogflow, Rasa, or GPT-powered tools Knowledge of web scraping, structured data extraction, and automation scripts Familiarity with Google Workspace, Slack bots, Notion APIs, and internal SaaS tool integrations Strong documentation habits — so others can reuse your work easily Traits That’ll Make You a Great Fit You're self-driven and solutions-focused — you spot inefficiencies and fix them You're curious about how AI can optimize real-world work You think in systems and love making things run without human intervention You’re not just an implementer — you collaborate, ideate, and improve workflows You’re comfortable in a fast-moving digital agency environment What’s in It for You Be the backbone of Orange MonkE’s AI-powered future Work directly with leadership to impact productivity and profitability Gain visibility across global projects and teams Flexible working hours with autonomy to experiment and build Competitive compensation + opportunity for performance-based bonuses 📩 Apply at: info@orangemonke.com 📌 Subject: AI Agent Builder

You're not looking for another feature factory job. You want control of the architecture. Real product ownership. And the chance to build something technically ambitious, not just another CRUD app with a chatbot bolted on. This role gives you all of that. You'll lead engineering for Legends, a D2C app that teaches emotional intelligence (EQ) the way people learn hard skills: structured, measurable, and repeatable. It's a greenfield opportunity to define the tech stack, shape AI-powered feature design, and ship production-grade code. All without red tape, ceremony, or legacy constraints. You won't be doing sprint planning theater or filling in Jira tickets. You'll be solo-building with full autonomy, in a closed loop with growth. Your job is to turn product goals into a technical reality and then own the result, from the first commit to production release. This is where top 1% engineers go when they want full-stack control, direct user impact, and the mandate to move fast. What You Will Be Doing Building specs with clear scope, architecture, and delivery timelines Writing full-stack JavaScript code (React + Node.js) with AI integrations that are clean, fast, and production-ready Running tight test-deploy loops to get working features into users' hands quickly Owning features end-to-end What You Won’t Be Doing Attending alignment meetings to negotiate team dependencies or release cycles Working off of prescriptive task lists handed down from product managers Maintaining legacy codebases or spending time fixing minor bugs someone else created Technical Lead Key Responsibilities Deliver a new version of Legends by independently defining, building, and shipping high-quality user-facing features. Basic Requirements Proven ability to ship production-ready consumer software Full-stack JavaScript proficiency (React + Node.js) Fluency with modern AI tools/APIs (OpenAI, LangChain, etc.) Ability to translate UX/product goals into buildable architecture Comfortable working solo and owning end-to-end implementation Nice-to-have Requirements Experience building native iOS apps Background in personalization, content delivery, or educational products About Legends Legends is a confidence-training app that builds legendary kids. Designed for kids ages 7-11 and their parents, families receive 5-minute confidence "workouts" with inspiring videos about legendary people—from celebrated artists and athletes to trailblazing scientists—plus interactive exercises that reinforce the theme of the day. 5 minutes of practice a day, confidence for a lifetime. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with us This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $75 USD/hour, which equates to $150,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. Crossover Job Code: LJ-5614-IN-Pune-TechnicalLead

We are looking for a highly skilled AI Engineer with 5+ years to join our team and lead the development and deployment of advanced AI systems. You will work with large language models (LLMs), build RAG and agentic workflows, evaluate custom models, and integrate cloud-based AI services. This role offers the opportunity to contribute to cutting-edge conversational AI applications and autonomous agents. Key Responsibilities Develop and fine-tune applications using LLMs (e.g., OpenAI, Claude, Gemini). Deploy and manage custom open-source models (e.g., LLaMA, DeepSeek). Design and implement Retrieval-Augmented Generation (RAG) workflows. Build and maintain AI agentic workflows for autonomous task execution. Conduct model evaluation and performance benchmarking. Leverage cloud AI services (AWS, GCP, or Azure) for scalable deployment. [Optional] Integrate with the MCP server for interactive applications. [Optional] Work with conversational AI characters (e.g., Convai). Required Qualifications Proven experience working with foundation models and LLM APIs. Hands-on experience in deploying open-source models in production. Solid understanding of vector stores and RAG architectures. Experience with multi-step AI agent frameworks or toolchains (LangChain, AutoGen, etc). Strong knowledge of cloud services for AI workloads. Familiarity with prompt engineering, model evaluation techniques, and observability.

Job Summary: We are seeking a Senior Data Scientist with expertise in Generative AI and Natural Language Processing (NLP) to join our dynamic team. The ideal candidate will have at least 2years of experience in applying advanced Data science techniques to solve complex problems and drive innovation. You will work on cutting-edge projects that leverage AI to enhance our products and services, collaborating with cross-functional teams to deliver impactful solutions. What You'll Be Working On: 1. Develop and implement state-of-the-art generative AI models, focusing on NLP applications. 2. Analyze and preprocess large datasets to extract meaningful insights and improve model performance. 3. Collaborate with product managers, engineers, and other stakeholders to define project requirements and deliverables. 4. Design and conduct experiments to validate models, analyze results, and refine algorithms. 5. Mentor junior data scientists and contribute to building a collaborative team culture. 6. Stay updated with the latest advancements in AI and NLP, applying best practices and innovative approaches to your work. 7. Communicate complex technical concepts to non-technical stakeholders effectively. 8. Strong Python skills and hands-on experience with LangChain, LangGraph, and OpenAI/Anthropic APIs Qualifications: 1. Minimum of 2years of experience in data science, with a strong focus on Generative AI and NLP. 2. Proficiency in programming languages such as Python, and experience with relevant libraries. 3. Strong understanding of machine learning algorithms, deep learning architectures, and NLP techniques. 4. Excellent problem-solving skills and a strong analytical mindset. 5. Ability to work independently and collaboratively in a fast-paced environment. 6. Strong communication skills, with the ability to convey complex ideas to diverse audiences. Send your resume to Vibha@xaigi.tech

About Us We're a tech-driven creative studio building innovative tools for the VFX and animation industry . Our mission is to blend cutting-edge engineering with artistic workflows — streamlining production, enhancing creativity, and reimagining how visual stories are made. If you’re excited by the intersection of technology, design, and storytelling, you’ll feel right at home here. About The Role We’re developing next-gen tools and platforms — from artist-focused products to pipeline automation. We're looking for a Senior Backend Engineer who enjoys crafting scalable systems, thrives in creative environments, and is curious about how AI/ML (especially agents and intelligent automation) can augment human creativity. Here, your engineering will directly support artists and storytellers. You won’t just build infrastructure — you'll help shape the future of how stories are imagined and brought to life. What You’ll Do Design and build robust backend systems and APIs for our internal tools and creative products Collaborate with cross-functional teams — from artists to AI engineers — to understand needs and ship effective solutions Optimize system performance, scalability, and reliability Integrate AI/ML services and tools into backend workflows (e.g., inference pipelines, smart agents) Contribute to overall backend architecture and system design thinking What We’re Looking For 4+ years of experience in backend development (Python preferred; Go, Node.js, or similar are a plus) Solid experience with RESTful APIs, databases (PostgreSQL, MongoDB, etc.), and microservices Familiarity with containerization (Docker), CI/CD pipelines, and cloud platforms (AWS/GCP) Interest or experience in AI/ML — whether through experimentation, prototypes, or production use A Bachelor's degree (BE/BTech in CS, IT, or related fields) is preferred Bonus Points Hands-on experience with AI/ML frameworks (Transformers, LangChain, OpenAI, etc.) Familiarity with animation/VFX production pipelines or creative tools (Unreal, Blender, Houdini, etc.) Contributions to open-source or side projects relevant to creative tech

Job Title: Data Scientist – Agentic AI Company: Pranathi Software Services Pvt. Ltd. Location: Hyderabad, India Job Type: Full-Time | Onsite/Hybrid Experience Level: Ph.D. with 0–2+ Years in AI Research or Applied ML About Pranathi Software Services Pvt. Ltd.: Pranathi Software is a fast-growing IT solutions company focused on innovation, emerging technologies, and building scalable solutions for global clients. We are now expanding into next-generation AI systems and are looking for exceptional talent to lead our research in Agentic Artificial Intelligence. Required Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Cognitive Systems, or related fields. Deep understanding of Agentic AI, Reinforcement Learning, Multi-Agent Systems, or LLM-based Agents. Experience with frameworks such as LangChain, AutoGPT, OpenAI Gym, or Ray. Strong coding skills in Python and experience with PyTorch, TensorFlow, or JAX. Proven track record of academic publications and research impact. Interested can share your resume at giribabu@pranathiss.com

About the Role We are seeking a visionary and hands-on AI Lead to architect, build, and scale next-generation Generative and Agentic AI systems. In this role, you will drive the end-to-end lifecycle—from research and prototyping to production deployment—guiding a team of AI engineers and collaborating cross-functionally to deliver secure, scalable, and impactful AI solutions across multimodal and LLM-based ecosystems. Key Responsibilities Architect and oversee the development of GenAI and Agentic AI workflows, including multi-agent systems and LLM-based pipelines. Guide AI engineers in best practices for RAG (Retrieval-Augmented Generation), prompt engineering, and agent design. Evaluate and implement the right technology stack: open source (Hugging Face, LangChain, LlamaIndex) vs. closed source (OpenAI, Anthropic, Mistral). Lead fine-tuning and adapter-based training (e.g., LoRA, QLoRA, PEFT). Drive inference optimization using quantization, ONNX, TensorRT, and related tools. Build and refine RAG pipelines using embedding models, vector DBs (FAISS, Qdrant), chunking strategies, and hybrid knowledge graph systems. Manage LLMOps with tools like Weights & Biases, MLflow, and ClearML, ensuring experiment reproducibility and model versioning. Design and implement evaluation frameworks for truthfulness, helpfulness, toxicity, and hallucinations. Integrate guardrails, content filtering, and data privacy best practices into GenAI systems. Lead development of multi-modal AI systems (VLMs, CLIP, LLaVA, video-text fusion models). Oversee synthetic data generation for fine-tuning in low-resource domains. Design APIs and services for Model-as-a-Service (MaaS) and AI agent orchestration. Collaborate with product, cloud, and infrastructure teams to align on deployment, GPU scaling, and cost optimization. Translate cutting-edge AI research into usable product capabilities, from prototyping to production. Mentor and grow the AI team, establishing R&D best practices and benchmarks. Stay up-to-date with emerging trends (arXiv, Papers With Code) to keep the organization ahead of the curve. Required Skills & Expertise AI & ML Foundations: Generative AI, LLMs, Diffusion Models, Agentic AI Systems, Multi-Agent Planning, Prompt Engineering, Feedback Loops, Task Decomposition Ecosystem & Frameworks: Hugging Face, LangChain, OpenAI, Anthropic, Mistral, LLaMA, GPT, Claude, Mixtral, Falcon, etc. Fine-tuning & Inference: LoRA, QLoRA, PEFT, ONNX, TensorRT, DeepSpeed, vLLM Data & Retrieval Systems: FAISS, Qdrant, Chroma, Pinecone, Hybrid RAG + Knowledge Graphs MLOps & Evaluation: Weights & Biases, ClearML, MLflow, Evaluation metrics (truthfulness, helpfulness, hallucination) Security & Governance: Content moderation, data privacy, model alignment, ethical constraints Deployment & Ops: Cloud (AWS, GCP, Azure) with GPU scaling, Serverless LLMs, API-based inference, Docker/Kubernetes Other: Multi-modal AI (images, video, audio), API Design (Swagger/OpenAPI), Research translation and POC delivery Preferred Qualifications 7+ years in AI/ML roles, with at least 2–3 years in a technical leadership capacity Proven experience deploying LLM-powered systems at scale Experience working with cross-functional product and infrastructure teams Contributions to open-source AI projects or published research papers (a plus) Strong communication skills to articulate complex AI concepts to diverse stakeholders Why Join Us? Work at the forefront of AI innovation with opportunities to publish, build, and scale impactful systems Lead a passionate team of engineers and researchers Shape the future of ethical, explainable, and usable AI products Ready to shape the next wave of AI? Apply now and join us on this journey! Job Type: Full-time Pay: ₹2,000,000.01 - ₹3,002,234.14 per year Benefits: Flexible schedule Health insurance Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Yearly bonus Work Location: In person

Gurgaon, India R&D 48747 Regular No Full Time (F) <10% India Job Description Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. We are seeking a passionate and skilled AI Engineer with 0-2 years of exerience to join our R&D team, focusing on the design, development, and deployment of intelligent chatbot systems and robust data engineering pipelines. This role bridges conversational AI and data infrastructure, enabling scalable, intelligent digital assistants that enhance user experience and operational efficiency. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Key Responsibilities Chatbot Design & Development Design, develop, and deploy AI-powered chatbots using NLP and LLM frameworks (e.g., Open Source, Rasa, Dialogflow, OpenAI, Azure Bot Framework). Collaborate with UX and product teams to define conversational flows and user intents. Continuously improve chatbot performance through user feedback, analytics, and retraining cycles. Ensure chatbot compliance with data privacy and governance standards. Data Engineering Build and maintain scalable data pipelines to support chatbot training and analytics. Integrate structured and unstructured data from multiple sources (e.g., APIs, databases, logs). Implement data preprocessing, transformation, and storage strategies optimized for AI/ML workloads. Collaborate with data scientists to ensure data readiness for model training and evaluation. Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related field. 0-2 years of experience in AI/ML engineering or data engineering roles. Proficiency in Python and familiarity with Java or Scala. Strong software development and collaboration skills. Experience with NLP libraries (e.g., spaCy, Hugging Face Transformers) and chatbot platforms. Hands-on experience with data pipeline tools (e.g., Apache Airflow, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Strong understanding of data modeling, ETL processes, and data governance. Preferred Skills Exposure to MLOps practices and tools (e.g., MLflow, Kubeflow). Experience with LLM fine-tuning and prompt engineering. Knowledge of RESTful APIs and microservices architecture. Familiarity with analytics dashboards and chatbot performance metrics. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. We are seeking a passionate and skilled AI Engineer with 0-2 years of exerience to join our R&D team, focusing on the design, development, and deployment of intelligent chatbot systems and robust data engineering pipelines. This role bridges conversational AI and data infrastructure, enabling scalable, intelligent digital assistants that enhance user experience and operational efficiency. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Key Responsibilities Chatbot Design & Development Design, develop, and deploy AI-powered chatbots using NLP and LLM frameworks (e.g., Open Source, Rasa, Dialogflow, OpenAI, Azure Bot Framework). Collaborate with UX and product teams to define conversational flows and user intents. Continuously improve chatbot performance through user feedback, analytics, and retraining cycles. Ensure chatbot compliance with data privacy and governance standards. Data Engineering Build and maintain scalable data pipelines to support chatbot training and analytics. Integrate structured and unstructured data from multiple sources (e.g., APIs, databases, logs). Implement data preprocessing, transformation, and storage strategies optimized for AI/ML workloads. Collaborate with data scientists to ensure data readiness for model training and evaluation. Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related field. 0-2 years of experience in AI/ML engineering or data engineering roles. Proficiency in Python and familiarity with Java or Scala. Strong software development and collaboration skills. Experience with NLP libraries (e.g., spaCy, Hugging Face Transformers) and chatbot platforms. Hands-on experience with data pipeline tools (e.g., Apache Airflow, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Strong understanding of data modeling, ETL processes, and data governance. Preferred Skills Exposure to MLOps practices and tools (e.g., MLflow, Kubeflow). Experience with LLM fine-tuning and prompt engineering. Knowledge of RESTful APIs and microservices architecture. Familiarity with analytics dashboards and chatbot performance metrics. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***

Position Title: AI Automation Specialist (No-Code/Low-Code Expert) Location: E2, Plot No. 4, Jhandewalan Extension, Near Metro Station Gate No. 2, New Delhi – 110055 Employment Type: Full-time / Contract (based on experience) Company Overview BookLeaf Publishing is one of India’s most trusted self-publishing platforms, recognized for its innovation, scalability, and process automation. We’re committed to transforming the publishing landscape through intelligent systems that minimize manual intervention and maximize efficiency. Role Summary We are seeking a driven AI Automation Specialist to join our team. In this role, you will lead the design and deployment of intelligent, scalable systems using no-code/low-code platforms and AI-based integrations. Your core responsibility will be to eliminate repetitive tasks and enhance operational efficiency across departments. Key Responsibilities Develop and maintain AI-driven automation tools, bots, and workflows to streamline business processes Build intelligent chatbots that handle real-time data and offer contextual support Integrate multiple platforms and tools, including CRMs, Google Sheets, email systems, and social media APIs Consolidate and synchronize customer data across systems, reducing the need for manual data handling Prepare comprehensive documentation for workflows and enable smooth handover to non-technical stakeholders Required Experience: Must-Have: 1–3 years of hands-on experience building automation workflows using tools like Zapier, Make.com, Bubble, Airtable, or similar Practical understanding of API integrations, webhooks, and conditional logic Experience using AI tools (e.g., OpenAI, GPT, Dialogflow, LangChain) in real-world workflows Ability to design solutions independently from brief to execution Preferred But Not Mandatory: Prior experience in startups, SaaS, publishing, or customer support automation Light coding skills in JavaScript or Python (for custom steps in workflows) Familiarity with chatbot frameworks like Rasa, Botpress, or Dialogflow Experience integrating with platforms like Gmail, WhatsApp Business API, Meta (Instagram) Graph API, Google Sheets, CRMs, etc. Core Competencies and Technical Skills Proficiency in no-code/low-code automation platforms such as: Zapier, Make (Integromat) OpenAI (GPT-4, LangChain) Bubble, Airtable, Notion API Dialogflow, Botpress, Rasa Strong analytical and systems thinking, with the ability to creatively connect tools and workflows A product-oriented mindset, capable of identifying automation opportunities and implementing end-to-end solutions with minimal oversight. Why Join Us If you're passionate about building intelligent workflows, thrive on problem-solving, and want to shape the future of publishing through automation, BookLeaf Publishing offers a dynamic and forward-thinking environment for your growth. Job Type: Full-time Pay: ₹30,000.00 - ₹55,000.00 per month Benefits: Leave encashment Schedule: Monday to Friday Supplemental Pay: Overtime pay Application Question(s): What's your age ? Are you willing to come to Jhandewalan as it's onsite profile? Do you have your own Laptop as we don't provide laptop to employees? Work Location: In person Speak with the employer +91 8368042819

Job Description Primary Skills: Semantic Kernel and Azure AI AgentExp : min 9 month of real project experienceSemantic Kernel experience focuses on building intelligent agents and applications by leveraging the Semantic Kernel SDK,which is an open-source framework from Microsoft that allows for the integration of AI models and services. Secondary Skills: This role involves designing and developing AI solutions, including copilots, and integrating them with enterprise data and systems using tools like Azure OpenAI, Azure AI Search

Job Overview & Responsibilities We are looking for a skilled LLM / GenAI Expert who can drive innovative AI/ML solutions, and spearhead the development of advanced GenAI-powered applications. The ideal candidate will be a strong Python programmer with deep, hands-on experience in Large Language Models (LLMs), prompt engineering, and GenAI tools and frameworks. This role requires not only technical proficiency but also excellent communication skills and the ability to guide and upskill junior team members. Exposure to cutting-edge concepts like multi-agent collaboration, Memory-Context-Planning (MCP), and agent-to-agent workflows is highly desirable. ● Lead the design and development of GenAI/LLM-based products and solutions. ● Mentor and support junior engineers in understanding and implementing GenAI/LLM techniques. ● Work on fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and custom LLM workflows. Nice to Have ● Experience with cloud platforms (AWS/GCP/Azure) for deploying LLMs at scale. ● Knowledge of ethical AI practices, bias mitigation, and model interpretability. ● Background in machine learning, natural language processing (NLP), or AI research. ● Publications or contributions to open-source LLM projects are a plus. Perks & Benefits ● Competitive Compensation and Benefits ● Half Yearly Appraisals ● Friendly Environment ● Work-life Balance ● 5 days working ● Flexible office timings ● Employee-friendly leave policies ● Work from Home (with prior approvals) ● Integrate LLMs into production systems using Python and frameworks like LangChain, LlamaIndex, Transformers, etc. ● Explore and apply advanced GenAI paradigms such as MCP, agent2agent collaboration, and autonomous agents. ● Research, prototype, and implement new ideas and stay current with state-of-the-art GenAI trends. ● Collaborate closely with product, design, and engineering teams to align LLM use cases with business goals. Required Skills ● 5+ years of total software development experience with a strong foundation in Python. ● 2–3+ years of hands-on experience working with GenAI / LLMs, including real-world implementation and deployment. ● Deep familiarity with models like GPT-4, Claude, Mistral, LLaMA, etc. ● Strong understanding of prompt engineering, LLM fine-tuning, tokenization, and embedding-based search. ● Experience with Hugging Face, LangChain, OpenAI API, and vector databases (Pinecone, FAISS, Chroma). ● Exposure to agent frameworks and multi-agent orchestration. ● Excellent written and verbal communication skills. ● Proven ability to lead and mentor team members on technical and architectural decisions Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹1,083,333.00 per month Schedule: Day shift Monday to Friday Work Location: In person

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do BCG Legal has been on a Generative AI journey to transform internal operations powered through cutting edge Generative AI technologies are core to this journey. Thus, we are looking for Generative AI engineers who are passionate about designing, developing, deploying and optimizing Gen AI products at scale. This role will be hosted in Legal digital products team to support building key prioritized Generative AI solutions for achieving Legal operations AI/Gen AI vision. Key Responsibilities- You will work as a squad member with strong hands on Gen AI expertise and will guide the product owners, digital leaders in conceptualizing new Gen AI products or embedding Gen AI as part of existing products in most optimum manner. You will be an individual contributor (IC) to develop the Gen AI products along with broader squad members as well as guiding other Gen AI/LLM engineers or data scientists developing Gen AI applications. Along with core Generative AI expertise, you will bring expertise in full backend development in technologies like python, typescript including REST, GraphQL etc. APIs development, core functional logic, performance, and stability of custom-built products. Among Your Responsibilities, You Will Conceptualize Generative AI custom products at BCG internally & operate as a technical thought partner for digital leaders and product owners. Combine data science & engineering expertise in building Generative AI products Develop Gen AI products as individual contributors (IC) to develop scalable high performance enterprise products along with broader squad Share expertise and recommendations on alternate approaches & tools to improve product Collaborate closely with data engineers, data scientists, software engineers, QA, product owners and analysts develop seamless end to end integrated products Build strong relationships with business stakeholders, ensuring alignment on project goals and successful integration of products into business processes Oversee & mentor other LLM/AI engineers, data scientists in the project on Gen AI expertise Share Gen AI knowledge & expertise across with broader digital teams squads, chapters, CoEs Regularly ramp up on latest LLMs, technologies, frameworks & platforms in the Gen AI space. What You'll Bring Overall 9+ years of experience in engineering, machine learning & LLMs 6+ years of hands-on experience in building & deploying AI/ML/Gen AI solutions in large business critical applications 2+ years of experience in developing Gen AI products using variety of LLMs & frameworks Advanced proficiency in Python for data science, engineering & LLMs Highly curious technically to evaluate & test new technologies in Gen AI space Proven ability to work with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines Experience with leveraging, training and fine-tuning Foundation Models including multimodal inputs and outputs Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex) Proficiency in generating and working with embeddings across variety of data formats. Understanding of embedding spaces and their applications in semantic search and information retrieval. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Expertise with RAG concepts and fundamentals (vectorDBs, semanticsearch, re-rankers etc.), Expertise in implementing RAG systems that combine knowledge bases Experience with multi-agent frameworks/systems and an understanding of multi-agent systems and their applications in complex problem-solving scenarios Experience in working with variety of data bases (SQL, no SQL) , APIs & microservices development Experience with LLMOps tools (e.g. Langsmith) to implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products Experience in constructing and querying knowledge graphs including graph-based reasoning. Experience in front end development technologies (e.g. REACT) would be good to have Excellent communication skills, with the ability to explain complex technical concepts to various audiences Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization Who You'll Work With As a pivotal member of the team, you will interact extensively with a diverse range of stakeholders from across the functions both geographically and functionally. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Area(s) of responsibility About Us Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities. Location: Any BSL Location Job Description Bachelor/master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field with 15+ years of experience 2+ years of experience in developing and implementing Generative AI models, with a strong understanding of techniques such as GPT, T5 and BERT Experience with LLMs OpenAI GPT and others Experience in latest GenAI application development frameworks Project management and governance experience preferred. Candidates with Technical and management skills given stronger preference. Life sciences experience preferred. Experience with handling customers at SLT and VP level. Proficiency in Python and have 8+ years of experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras Experience in developing Fast API and documentations Experience working with SQL, NoSQL, Elastic, Files etc. Strong knowledge of data structures, algorithms, and software engineering principles Familiarity with cloud-based platforms and services, such as AWS (must), GCP, or Azure 8+ years of experience with advanced natural language processing ( NLP ) techniques and tools, such as SpaCy, NLTK, or Hugging Face Familiarity with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly Significant experience architecting cutting-edge MLOps systems in enterprise environments Knowledge of software development methodologies, such as Agile or Scrum Excellent problem-solving skills , with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills , with the ability to effectively convey complex technical concepts to a diverse audience Proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Able to execute thought leadership. Responsibilities Design, develop, and implement Generative AI models and algorithms, using techniques such as GPT, T5, BERT Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals Conduct research to stay up-to-date with the latest advancements in Generative AI , machine learning, and deep learning techniques, and identify opportunities to integrate them into customer products and services Optimize Generative AI models for improved performance, scalability, and efficiency Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation Contribute to the establishment of best practices and standards for Generative AI development within the organization

Area(s) of responsibility Must have 10+ years of experience working in Data science, Machine learning and especially NLP technologies. Must have education from Tier 1 college like IIT, NIT, IIM Must have experience with Agentic AI frameworks – LangGraph, LlamaIndex, MCP etc. Expert in using paid (OpenAI on Azure) and open source LLMs Strong understanding of Agents development. Experience with Python programming language in a must. Ability to develop Python code as needed and train the Developers based on business needs. Experience with AWS / Azure ecosystem is a must. Preferable candidate should possess Pharma R&D background Strong understanding of cloud native application development in AWS / Azure. Able to apply deep learning and generative modeling techniques to develop LLM solutions in the field of Artificial Intelligence. Utilize your extensive knowledge and expertise in machine learning (ML) with a focus on generative models, including but not limited to generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer-based architectures. Must be able to design, and implement state-of-the-art generative models for natural language processing (NLP) tasks such as text generation, text completion, language translation, and document summarization. Passionate to learn and stay updated with the latest advancements in generative AI and LLM Exposure to developing Guardrails for LLMs both with open source and cloud native models

Company Description Cogniq AI, a division of Cogniq Labs, specializes in building innovative AI applications that transform user interactions with technology. From AI-powered apps and machine learning solutions to Chrome extensions, we leverage cutting-edge Gen AI technologies like OpenAI and Gemini APIs to create impactful solutions. Our research-driven approach ensures we deliver scalable and user-friendly applications that redefine possibilities. Role Description This is a full-time remote role for an App Marketing Intern at Cogniq AI. The App Marketing Intern will be responsible for communication, market research, sales, marketing strategy, and customer service tasks to support the promotion and success of AI-driven web apps, software engineering solutions, and Chrome extensions. Qualifications Communication and Customer Service skills Market Research and Sales skills Marketing Strategy skills Excellent organizational and time management skills Creative thinking and problem-solving abilities Ability to work independently and remotely Experience with digital marketing tools and platforms is a plus Currently pursuing or possess a degree in Marketing, Business, or related field

We are looking for an experienced Data Scientist with strong expertise in Machine Learning and Generative AI (GenAI). The candidate will work closely with Product, Engineering, and Business teams to build and deploy AI/ML models, particularly leveraging the latest advancements in Generative AI (LLMs, NLP, Image Generation, etc.) Key Responsibilities: • Design, develop, and deploy machine learning & generative AI models. • Work on NLP, LLM fine-tuning, embeddings, prompt engineering, and vector search. • Build agentic AI applications • Build data pipelines, model lifecycle management, and MLOps integrations. • Develop solutions for use cases like: ◦ Chatbots & Virtual Assistants ◦ Audio processing ◦ Recommendation engines • Collaborate with data engineers & product teams for scalable deployment. • Research and experiment with emerging GenAI models (OpenAI, Hugging Face, Google Gemini, etc.) Must Have Skills: • 3+ years experience in Data Science / ML roles. • Strong Python programming & ML libraries ( Pandas, Scikit-Learn, TensorFlow, PyTorch). • Practical experience with Gen AI models (OpenAI GPT, Llama, Claude, Gemini etc.). • NLP & Text Analytics experience. • Exposure to LLM fine-tuning & embeddings. • Prompt Engineering experience. • SQL & Data Querying Skills. • Experience in deploying ML/AI solutions on Cloud (AWS / GCP / Azure). • Experience with Lang Chain / LlamaIndex / Vector DBs (Pinecone, FAISS, We aviate etc.). • Exposure to MLOps / Model Deployment / API integrations. Good to Have: • Knowledge of GenAI tools (Hugging Face, OpenAI APIs, Stable Diffusion). • Experience in ML model monitoring & performance optimization. • Familiarity with cloud-native Gen AI services (Vertex AI, Azure OpenAI, AWS Bedrock). • Experience in building AI-based products / SaaS. • Data Engineering with DAGs Qualifications: • B.Tech / M.Tech / M.Sc / Ph.D in Computer Science, Data Science, AI, Mathematics, Statistics or equivalent. • Strong problem-solving and analytical skills. • Excellent communication & collaboration skills. If you're interested, please send your updated CV to recruitment@radicalminds.co #DataScience #DataScientist #MachineLearning #AI (Artificial Intelligence) #BigData #Analytics #TechJobs #HiringDataScientists #DataScienceJobs #NowHiring #JobOpening #TechCareers #Python #RStats (for R programming) #SQL #DeepLearning #NLP (Natural Language Processing) #DataEngineering Location-Based (if applicable) #RemoteJobs #LinkedInJobs #IndeedJobs

About Jivi Jivi is transforming primary healthcare with an AI-powered clinical agentic platform designed for 8 billion people. Our flagship product, a super health app, combines an AI doctor and longevity coach. It provides a full-stack solution covering sickness, prevention, and wellness. In just six months, 500,000 users from 170+ countries have already used Jivi. The company was founded by Ankur Jain (BharatPe, WalmartLabs, Stanford), GV Sanjay Reddy (Reddy Ventures, Aragen), and Andrew Ng 's AI Fund (Coursera, DeepLearning). Together, they bring deep expertise in AI, medicine, and scaling billion-dollar ventures. Jivi is powered by groundbreaking research in Large Language Models (LLMs). Our MedX model is ranked #1 globally, surpassing OpenAI and Google Gemini in diagnostic accuracy. Additionally, our AudioX model boasts the lowest word error rate for Indic languages. Jivi’s health knowledge base, one of the largest in the world, plays a key role in training these models. In the spirit of fostering innovation, we’ve open-sourced these models on Hugging Face for the AI community. Jivi has been recognized for its innovation with awards such as the NASSCOM’s Digital Adoption Pioneer Award and the IndiaAI Mission Award. We are proud to be a global leader in AI healthcare. Job Overview As the Director of Data Science and AI, you will spearhead the development of advanced AI solutions, manage a multidisciplinary team of AI engineers and data scientists, and oversee the implementation of machine learning and large language model (LLM) initiatives. You will play a strategic role in shaping our AI roadmap, ensuring the delivery of high-impact models that improve outcomes and operational efficiency of the product. Key Responsibilities AI/ML Product Development: Oversee the design, development, and deployment of machine learning, deep learning, and large language models (LLMs), including multimodal AI systems. Team Management: Build, mentor, and lead a high-performing team of data scientists, AI researchers, and ML engineers. Foster a culture of innovation and technical excellence. R&D and Innovation: Drive applied research in areas like medical imaging, predictive analytics, and clinical decision support. Guide exploration of novel algorithms and AI approaches. Data Strategy & Governance: Ensure best practices in data preprocessing, cleaning, and analysis. Collaborate with data engineering for robust pipelines and scalable infrastructure. Model Evaluation & Ethics: Champion rigorous model validation, monitoring, and explainability. Ensure ethical AI practices, especially in sensitive healthcare applications. Thought Leadership: Stay abreast of AI/ML advancements and represent the company in conferences, publications, and key industry forums. Technical Skills Programming Skills: Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Familiarity with TensorRT and NVIDIA Triton Server is a plus. Model Expertise: Deep experience with Convolutional Neural Networks (CNNs), diffusion models, transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models. Multimodal Proficiency: Strong knowledge and experience with large language models (LLMs) and multimodal AI approaches. Algorithmic Understanding: Comprehensive understanding of a wide array of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques. Experience & Qualifications 8+ years of experience in data science, AI/ML, or applied research, with 3+ years in a leadership or managerial role. Proven track record of deploying AI models into production, preferably in healthcare, medical imaging, or life sciences. Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or a related field. PhD preferred. Why Work with Jivi? Make a Global Impact : Shape AI-driven healthcare solutions that transform billions of lives and revolutionize global wellness. Accelerate Your Career : Enjoy competitive salaries, growth opportunities, and the chance to take on leadership roles as Jivi scales. Lead in a High-Growth Environment : Own key initiatives, influence company strategy, and drive impactful health projects in a dynamic, fast-paced setting. Collaborate with the Best : Work alongside top professionals in AI and healthcare, learn from experts, and contribute to breakthrough innovations. Jivi’s Products: Jivi is available as a mobile app or as an AI assistant on WhatsApp. You can access Jivi: iOS app Android app WhatsApp Jivi in Media: Economic Times - https://tinyurl.com/m3kep5at Reuters - https://tinyurl.com/mpcs6dpx Inc42 - https://tinyurl.com/emsdas55 Many more - https://www.jivi.ai/news

Area(s) of responsibility Job Title: Senior Developer - AI/ML & Generative AI Location: Pune Job Type: Full-time Job Summary We are looking for a highly experienced Senior Developer with a strong background in Python, AI/ML, Generative AI, and experience with Azure OpenAI, Large Language Models (LLMs), cloud platforms like Azure and AWS, and various databases to join our dynamic team. The ideal candidate will have a proven track record of developing and deploying advanced AI solutions, with a focus on leveraging Generative AI techniques to drive innovation and efficiency. Key Responsibilities AI/ML Development Generative AI Solutions Python Programming Data Analysis and Modeling Azure OpenAI and LLMs Cloud Platforms Database Management Collaboration Mentorship Continuous Improvement Documentation

「AI革命を起こし、未来を創っていく」 HEROZ株式会社について HEROZ株式会社は「AI革命を起こし、未来を創る」をミッションに掲げるAIテクノロジー企業です。私たちは独自開発した将棋AIをはじめとする高度なAI技術を駆使し、金融、建設、エンタメなど多様な業界で社会の課題を解決し、新しい価値を創出しています。 HEROZの強みは長年の研究と実績で培ったAI技術。BtoB事業では、機械学習や深層学習を活用し、企業のDXをサポート。BtoC事業では、世界中に展開しているゲーム『将棋ウォーズ』など、エンターテインメントの可能性を広げています。さらに、生成AIを活用した『HEROZ ASK』は、業務効率を飛躍的に向上させるAIアシスタントとして、すでに200社以上の企業で導入され、AIがもたらす新しい未来を実現しています。 HEROZはAI技術の可能性をさらに広げるため、次世代AIの研究開発や新たなプロダクトの創出に挑戦し続けます。特に、生成AIや大規模言語モデル（LLM）を活用し、企業や社会全体の課題解決を加速させるプロジェクトに注力しています。 事業内容 BtoB事業： 機械学習・深層学習を活用したAIソリューションの提供 顧客企業の課題解決に向けたコンサルティング AI技術を用いた新規事業の共創 BtoC事業： オンライン対戦ゲーム「将棋ウォーズ」などAIエンターテインメントの開発・運営 AI技術をより身近に体験できるサービスの提供 HEROZ ASK： ChatGPTや生成AIを活用したAIアシスタントサービスの開発・提供 企業の業務効率化、生産性向上に貢献 BLOOMWORKS： 現役のHEROZ人事がクライアントの人材採用を支援（RPO） HEROZ ASKを活用した戦略的なスカウト採用が強み ▶ サービス紹介 ▶ 経営理念 ▶ HEROZ Tech Blog トピックス AIアシスタントサービス 「HEROZ ASK」の導入企業が100社を突破しました！ HEROZ、NVIDIA H100 搭載サーバーの導入を決定 強固なAI開発環境の構築で、 新プロダクト『HEROZ ASK』シリーズ等のサービス提供体制を強化 SalesNow DBが主催する「成長企業セレクション」において、SMBカテゴリーでTripleに選出されました！ 募集ポジションについて お任せしたいこと （雇入れ直後） エンタープライズ企業を対象としたAIソリューションのセールス担当として、顧客のDX推進を支援し、以下の業務をお任せします。 ■具体的な業務内容の例 戦略的なフィールドセールス活動 新規顧客開拓と既存顧客とのリレーション強化 営業計画の策定と実行による収益拡大 ステークホルダーとの良好な関係構築とビジネス拡大 AI SaaSプロダクト『HEROZ ASK』の営業推進 営業組織の体制構築および仕組みづくりへの貢献 顧客フィードバックの収集とプロダクト改善提案 デリバリー部門や開発部門との連携によるプロジェクト管理 業務内容は適性とご希望に合わせお任せしていく想定です。面談にてぜひご相談させてください。 HEROZが提供するソリューションは、顧客の課題に深く寄り添い、カスタマイズ性に優れている点が競合との差別化ポイントです。また、AI技術における高い専門性と、トップ企業との実績を組み合わせた提案力が、HEROZのセールス職の最大の強みです。 （変更の範囲）当社コーポレート職以外で会社が定める業務全般 プロジェクト事例 HEROZのAI技術は多岐にわたる業界で導入されています。 【エンタメ業界】 株式会社バンダイ様：デジタルカードバトルゲーム『ゼノンザード』開発。 株式会社ポケモン様：ポケモンバトルの戦況を可視化するAIツールを共同開発。 【金融業界】 SMBC日興証券株式会社様：株式ポートフォリオ診断AIの導入。 静銀信用保証株式会社様：住宅ローン不正検知AIシステムを提供。 【建設業界】 株式会社竹中工務店様：構造設計AIシステム「BRAIN」の活用。 東洋エンジニアリング株式会社様：地下工事の工期遅延リスク検知AIを提供。 【その他業界】 アイリスオーヤマ株式会社様: 販売予測AIを提供し、国内外のDX化を支援。 日本工学院様: 産学連携で、AIを搭載したクレーンゲームの開発を技術支援。要件定義の策定やゲームフローの作成、LLMの適用方法などで協力。 日本科学未来館様：AIスーツケース音声対話機能開発、2025年大阪万博より運用を開始。 HEROZ ASKについて 『HEROZ ASK』は、ChatGPTなどの生成AIを活用した法人向けAIアシスタントサービスです。競合製品と比較して、業務に特化したカスタマイズ性と高いセキュリティ対応が大きな強みです。 特長は以下の通りです。 業務アシスト： 社内データの検索、要約、翻訳、音声の言語化を実現し、業務効率を大幅に向上。 カスタマイズ性： 独自データの取り込みや、グループごとのアクセス権限設定、目的別AIアシスタント作成が可能。 セキュリティ対応： Azure OpenAI Serviceを活用し、データ漏洩を防止。ISO27001認証も取得済み。圧倒的なセキュアな体制により他社と大きく差別化。 コストパフォーマンス： 月額900円～/ユーザーの業界最安値で提供。 ポジションの魅力 最先端テクノロジーに触れる機会 AI、機械学習、深層学習、自然言語処理、LLM（大規模言語モデル）など、最先端技術を活用したソリューションの提案を通じて、常に新しい知識やスキルを習得できます。 技術者との交流を通じて、AI技術の深い知識を習得できます。 裁量の大きい職務 単なる営業担当としてだけでなく、営業戦略の立案、営業プロセスの改善、組織体制の構築など、幅広い業務に携わることで、自己成長を実感できます。 新規事業の立ち上げや、海外展開など、新たな挑戦に携わるチャンスが多くあります。 多様性のあるチーム データサイエンティスト、エンジニア、コンサルタントなど、様々な専門性を持つメンバーと協働することで、多角的な視点を養い、より高度な問題解決能力を身につけることができます。 グローバルなバックグラウンドを持つメンバーとの交流を通じて、多様な価値観を理解し、グローバルなビジネス感覚を磨くことができます。 顧客のDX推進を支援するやりがい HEROZのAI技術を通じて、顧客企業のビジネス変革を支援し、社会に貢献する実感を味わえます。 顧客の課題解決に貢献することで、感謝の言葉を直接受け取ることができ、大きな達成感を得られます。 経営層に近い距離で仕事ができる 経営層との距離が近く、直接意見交換や提案を行う機会が豊富にあります。 経営視点を学び、経営戦略の策定に貢献することで、ビジネスパーソンとしての成長を加速させることができます。 キャリアパスと成長機会 多様な経験を積みながら成長 ・プロジェクトごとに異なる役割やチームでの活動を通じて、AI技術とビジネスの両面で専門性を高められます。 ・生成AIや大規模言語モデル（LLM）など、新しい技術への挑戦を通じて、他社では得られない知見を習得。 ・新規事業の開発に携わることも可能。 早期マネジメントへの挑戦 ・個々の裁量が大きく、早い段階でプロジェクトマネジメントや意思決定に関与する機会あり。 ・リーダーシップを発揮しやすい環境で、若いうちからマネジメント経験を積むことができます。 成果を正当に評価する仕組み ・半期ごとの評価制度や表彰制度（Value賞、MVP賞など）を通じて、努力と成果をしっかりと認める文化。 ・チームと個人の成長を両立させながら、競争力のあるキャリアを築けます。 スキルアップと自己実現の支援 ・研修・学会参加費や書籍購入補助など、スキルアップのためのサポート体制が充実（1回あたり30万円の補助、回数無制限）。 ・最新技術に触れる環境が整っており、自己成長を加速できる設備とリソースを完備。 なぜ募集しているか？ 日本企業のDX推進が喫緊の課題となる中、HEROZはAI技術を活用して企業の競争力強化を目指しています。特に、当社のAI SaaSプロダクト『HEROZ ASK』は、エンタープライズ企業のDXを加速させるための強力なソリューションです。市場の急速な変化に対応し、より多くの企業にHEROZの価値を提供するため、営業組織を強化します。 社内アンケート（HEROZで働く魅力について） ・小さい会社なので、自立したスタイルで業務が進められると思います。人数が少ないことによる大変さもありますが、充実感を感じる環境だと思います。（ビジネス職） ・課題解決の方法をエンジニアの裁量で決めて試すことができる。計算リソースが豊富なため手法の選択肢が計算リソースで制限されない。（エンジニア職） ・裁量を持って働ける環境。 ・AIの社会実装自体が不確かな道のりで、迷うことも多いですが、業界の実業務を楽にしてくれる可能性を信じて、日々取り組んでいます（ビジネス職） ・「AI企業として」という観点ですと、AIの情報が日々流れ、日進月歩でテクノロジーの進化が進んでおり、AIに真正面からぶつかることで得られる面白さ(反面苦しさも)を最大化できるのは今だと思います。そういう意味では非常に面白い社会人生活を送れるのではないかと感じます。 「他社のAI企業と比較して」という観点ですと、金融・建設・エンタメを重点領域としつつ、産業横断的なPJにも携われるAIの企業は、そう多くないのではと思います。私自身がHEROZを選んだキッカケも、金融以外の建設とエンタメ領域で事業企画やコンサルティングの経験があったためです。 「純粋な1企業として」という観点ですと、会社メンバー間での繋がりに特徴があるように思います。懇親するときは思いっきり打ち解けあいつつ、仕事モードの時は結構ピリッとする雰囲気になることも多いので、オンオフをしっかり分け、仲良しごっこではなくお互いを高めあえる存在を築けると思います。（ビジネス職） ・比較的小さい組織で大きいことをやろうとしている。自分の能力次第でかなり自由に役割を担える。（エンジニア職） ・マネジャー以上は特に個々人が個性的で優秀。技術的な知見をエンジニア以外も多かれ少なかれ持っている。社長が良い人 ・優れたエンジニアの技術力を背景に、お客様に価値遡及をしていくことに魅力を感じます。競合が多い中、競争力をもてる源泉（技術者）がしっかりと社内にあること、またそれを維持する経営陣の努力がすばらしいことだと思います。（セールス職） 応募資格 必須スキル・経験 BtoB提案型営業経験（無形・有形問わず、2年以上） ITに関する基本的な知識 顧客課題を特定するヒアリング力と示唆力 チーム横断的なコミュニケーション能力 歓迎スキル・経験 SaaS商材やAI関連商材の営業経験 TheModel型の営業組織での複数ポジション経験 Salesforceやその他営業支援ツールの活用経験 エンタープライズ向け営業経験 求める人物像 ★弊社の経営理念・ビジョン／ミッション／バリューに共感いただけるはぜひご応募ください！ AIや最先端技術に強い興味をお持ちの方 チームワークを大切にし、組織横断的な役割を楽しめる方 ベンチャーマインドを持ち、新しい挑戦を楽しめる方 経営層に近いミッションを担い、スキルアップを目指したい方 HEROZはあなたの成長をサポートします HEROZではIT業界での営業経験をお持ちの方であれば、AIの知識は入社後の研修で十分に習得可能です。 充実した研修制度で、AIの基礎知識からHEROZ ASKの製品知識、営業ノウハウまで丁寧にお教えします。 補足情報 当社は競争戦略上、完全禁煙会社としております。就業時間中はもちろん、就業時間外も禁煙となります。 必要に応じて、リファレンスチェックをさせていただく可能性がございます。 職種 / 募集ポジション AIソリューションセールス 雇用形態 正社員 給与 年収 500万円 〜 900万円 ・経験・能力を考慮の上、当社規定により決定致します。 ・賞与支給年2回（8月・2月） 【月給】363,000～652,000円 ※時間外労働の有無にかかわらず20時間分の固定残業代を支給。 ※20時間を超える時間外労働分についての割増賃金は追加で支給。 勤務地 1080014 東京都港区芝５-31-17 PMO田町7F 地図で確認 ・JR「田町」駅 三田口 徒歩2分 ・都営地下鉄「三田」駅 A3出口 徒歩1分 （変更の範囲） 当社本店・支店、当社取引先の事業場内、会社が許可または指示する場所 雇用期間 雇用期間の定めなし、試用期間あり（3か月） 就業形態 等級に応じて変わります（専門業務型裁量労働制またはフレックスタイム制） ※入社後、適さないと判断した場合解除することがあります。 就業時間 専門裁量労働制の場合、定め無し（みなし労働時間：8時間） フレックスタイム制の場合、10：00～19：00（所定労働時間：8時間） ※休憩時間：60分 ※リモートワーク・在宅勤務可（事前申請許可制） ※フレックスタイム制の場合、固定残業時間代を20時間分支給いたします。 休日・休暇 ・年間休日：定例日 毎週（土・日）曜日、国民の祝日、その他（会社が指定した日） ・年次有給休暇：6ヵ月継続勤務した場合 10日付与（以降、勤続年数に応じ増加。上限23日） ・その他の休暇 （入社時特別休暇・年末年始休暇・傷病時特別休暇・慶弔休暇あり） 社会保険 雇用保険、労災保険、厚生年金、健康保険（関東ITソフトウェア健保）完備 その他待遇/福利厚生 ■交通費支給 ※在宅勤務可 ■服装自由 ■希望スペックのPC用意（エンジニアのみ） ■計算処理用GPUサーバ利用（https://bit.ly/2ESpiwN） ■オフィス無料ドリンクサーバー設置 ■スキルアップ支援金制度（研修/学会/論文/図書/資格等）30万円支給/回・回数上限なし ※購入いただいた図書論文等は会社提供不要、ご自身のものとしてお使いいただけます ■慶弔見舞金(結婚祝い金・出産祝い金・弔慰金) ■インナーコミュニケーション （全社つながりの場、全社ミーティング、忘年会、納会、勉強会・案件共有会） ■人事評価制度 ■ご友人紹介制度（お食事代お一人あたり1.5万円まで支援＋入社後インセンティブ報酬） 会社情報 会社名 HEROZ株式会社 所在地 〒108-0014 東京都港区芝5-31-17 PMO田町7F 設立 2009年4月 代表者 代表取締役 CEO 林 隆弘 代表取締役 CRO高橋 知裕 上場市場 東証上場(証券コード：4382） 事業内容 AI技術を活用したサービスの企画・開発・運用 所属団体 一般社団法人 日本ディープラーニング協会 一般社団法人 人工知能学会 Apply Now

We're seeking a visionary Enterprise Architect to join our CTO Office and shape cross-portfolio solutions at the intersection of AI, Customer Experience (CX), Cybersecurity, and Digital Skilling technologies. You’ll architect scalable, standardized solutions for global clients, govern complex deals, and collaborate with diverse stakeholders to translate business needs into future-ready technical strategies. As a trusted advisor, you will evangelize solution value, articulating how the right technology mix enables our customers to achieve strategic outcomes. At TeKnowledge , your work makes an impact from day one. We partner with organizations to deliver AI-First Expert Technology Services that drive meaningful impact in AI, Customer Experience, and Cybersecurity. We turn complexity into clarity and potential into progress—in a place where people lead and tech empowers. You’ll be part of a diverse and inclusive team where trust, teamwork, and shared success fuel everything we do. We push boundaries, using advanced technologies to solve complex challenges for clients around the world. Here, your work drives real change, and your ideas help shape the future of technology. We invest in you with top-tier training, mentorship, and career development—ensuring you stay ahead in an ever-evolving world. Why You’ll Enjoy It Here: Be Part of Something Big – A growing company where your contributions matter. Make an Immediate Impact – Support groundbreaking technologies with real-world results. Work on Cutting-Edge Tech – AI, cybersecurity, and next-gen digital solutions. Thrive in an Inclusive Team – A culture built on trust, collaboration, and respect. We Care – Integrity, empathy, and purpose guide every decision. We’re looking for innovators, problem-solvers, and experts ready to drive change and grow with us. We Are TeKnowledge. Where People Lead and Tech Empowers. Responsibilities: Design enterprise-grade architectures integrating structured/unstructured data, analytics, and advanced AI models (GenAI, LLMs, cognitive services). Build scalable data pipelines and lake-centric architectures to power real-time analytics and machine learning. Architect multi-cloud AI/ML platforms using Azure, including deployment of LLMs (Azure OpenAI and open-source models like LLaMA, Mistral, Falcon). Define infrastructure, data, and app requirements to deploy LLMs in customer private data centers. Lead technical reviews for high-value deals, identifying risks and mitigation strategies. Design integrated solutions across AI, CX, Cybersecurity, and Tech Managed Services portfolios. Develop standard design patterns and reusable blueprints for repeatable, low-risk, and scalable solution delivery. Present architectural solutions to C-suite executives, aligning technical outcomes with business value and ROI. Collaborate with sales and pre-sales to scope complex opportunities and develop compelling proposals. Foster innovation across CTO, Sales, and Solution teams. Identify synergy across offerings (e.g., Microsoft Copilot + AI-first CX + Cybersecurity). Support product teams with market feedback and solution evolution. Define architectural best practices ensuring security, compliance, and scalability. Mentor delivery teams on frameworks and emerging tech adoption. Shape and execute the enterprise architecture strategy aligned with business goals. Champion digital transformation and technology innovation. Leverage expertise in Azure and Microsoft D365 to support solution architecture. Drive responsible AI adoption and ensure awareness of privacy, bias, and security in deployments. Ensure all solutions meet IT security and compliance standards. Collaborate with Legal and Procurement for contract negotiations and vendor performance. Lead, mentor, and build a high-performing, collaborative CTO team with a customer-first mindset. Qualifications: Education: Bachelor's or Master’s degree in Computer Science, Information Technology, Cybersecurity, or related field. Experience: 10+ years in enterprise architecture, with 5+ years in customer-facing roles. Certifications: Preferred – TOGAF, Zachman, ITIL, CISSP, Azure certifications or equivalents. Proven experience architecting and delivering AI/ML platforms, data lakes, and intelligent applications at enterprise scale. Demonstrable experience deploying local LLMs in production environments, including integration with LangChain, databases, and private storage. Strong knowledge of enterprise architecture frameworks and multi-cloud platforms (with a focus on Azure). Ability to design and deliver end-to-end solutions including networks (voice and data), microservices, business applications, resilience, disaster recovery, and security. Understanding of On-Prem / Private Cloud workload migration to public or hybrid cloud environments. Commercial acumen with the ability to articulate the business value of cloud-based solutions to executive stakeholders. Strong problem-solving and critical thinking skills with a proactive, outcome-oriented mindset. Experience with cloud computing, data center technologies, virtualization, and enterprise-grade security policies/processes. Proficiency in AI/ML, cybersecurity frameworks, customer experience platforms, and Microsoft Cloud (Azure, M365, D365). Exceptional communication and storytelling abilities for both technical and non-technical audiences. Experience engaging with large enterprise clients across industries such as government, healthcare, banking & finance, travel, and manufacturing. Empowering Leadership and Innovation At TeKnowledge, we are committed to fostering a culture of inspiring leadership and innovation. Our core leadership competencies are integral to our success: Inspire: We prioritize creating an inclusive environment, leading with purpose, and acting with integrity and respect. Build: Our leaders own business growth, drive innovation, and continuously strive for excellence. Deliver: We focus on setting clear priorities, embracing agility and change, and fostering collaboration for growth. We are looking for talented individuals who embody these competencies, are ready to grow, and are eager to contribute to our dynamic team. If you are passionate about making a meaningful impact and excel in a collaborative, forward-thinking environment, we invite you to apply and help us shape the future.

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. We are seeking a passionate and skilled AI Engineer with 0-2 years of exerience to join our R&D team, focusing on the design, development, and deployment of intelligent chatbot systems and robust data engineering pipelines. This role bridges conversational AI and data infrastructure, enabling scalable, intelligent digital assistants that enhance user experience and operational efficiency. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Responsibilities Key Responsibilities Chatbot Design & Development Design, develop, and deploy AI-powered chatbots using NLP and LLM frameworks (e.g., Open Source, Rasa, Dialogflow, OpenAI, Azure Bot Framework). Collaborate with UX and product teams to define conversational flows and user intents. Continuously improve chatbot performance through user feedback, analytics, and retraining cycles. Ensure chatbot compliance with data privacy and governance standards. Data Engineering Build and maintain scalable data pipelines to support chatbot training and analytics. Integrate structured and unstructured data from multiple sources (e.g., APIs, databases, logs). Implement data preprocessing, transformation, and storage strategies optimized for AI/ML workloads. Collaborate with data scientists to ensure data readiness for model training and evaluation. Qualifications Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related field. 0-2 years of experience in AI/ML engineering or data engineering roles. Proficiency in Python and familiarity with Java or Scala. Strong software development and collaboration skills. Experience with NLP libraries (e.g., spaCy, Hugging Face Transformers) and chatbot platforms. Hands-on experience with data pipeline tools (e.g., Apache Airflow, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Strong understanding of data modeling, ETL processes, and data governance. Preferred Skills Exposure to MLOps practices and tools (e.g., MLflow, Kubeflow). Experience with LLM fine-tuning and prompt engineering. Knowledge of RESTful APIs and microservices architecture. Familiarity with analytics dashboards and chatbot performance metrics. Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***