🚀 Job Title: Senior AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Senior AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-4 years of experience in building and deploying AI/ML systems, with at least 1-2 years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Senior AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training

Job Title: Full Stack Developer (React/Next.js/TypeScript) – Contract Location: Remote About the Role We're partnering with an early-stage founder to build an MVP-level web application that will test product-market fit in a fast-moving space. We're looking for a Full Stack Developer with deep experience in modern frontend and backend technologies and a strong understanding of integrating AI APIs. This role requires a self-starter who can work autonomously and deliver quality, scalable code with minimal oversight. You’ll be the technical cornerstone of the MVP build, collaborating closely with the product lead and design resources to bring early-stage ideas to life. What You’ll Do Own the end-to-end development of a market-ready MVP Build responsive, performant user interfaces using React , Next.js , and TypeScript Design and maintain backend logic with PostgreSQL (preferred) and Node.js Integrate AI APIs such as OpenAI or Google Gemini into the application Implement secure, scalable, and testable codebases Work autonomously with high ownership and reliability Deliver rapid prototypes using tools like Global or Data Button (optional) Participate in async communication with stakeholders and provide timely updates Ideal Candidate 5+ years of full-stack development experience, ideally with startups or MVP-stage products Expert in React , Next.js , and TypeScript Strong backend experience, particularly with PostgreSQL (bonus if you also know MongoDB) Proven experience working with AI APIs (e.g., OpenAI, Gemini) Solid understanding of responsive web design and cross-device compatibility Familiar with rapid development and iteration cycles Able to work independently, self-manage priorities, and hit deadlines Excellent English communication skills, both written and spoken Comfortable working across time zones with at least 4–6 hours of overlap with EST What You’ll Get Flexible working hours with async-friendly communication Direct access to product decision-makers Opportunity to shape the technical foundation of a new product from the ground up How to Apply Please submit: Your resume/CV GitHub or code samples Links to relevant projects (if available) A brief note about your availability and region Your salary expectations Show more Show less

🚀 Job Title: Lead AI Engineer Company : Darwix AI Location : Gurgaon (On-site) Type : Full-Time Experience : 2-6 Years Level : Senior Level 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing GenAI startups, revolutionizing the future of enterprise sales and customer engagement with real-time conversational intelligence. We are building a GenAI-powered agent-assist and pitch intelligence suite that captures, analyzes, and enhances every customer interaction—across voice, video, and chat—in real time. We serve leading enterprise clients across India, the UAE, and Southeast Asia and are backed by global VCs, top operators from Google, Salesforce, and McKinsey, and CXOs from the industry. This is your opportunity to join a high-caliber founding tech team solving frontier problems in real-time voice AI, multilingual transcription, retrieval-augmented generation (RAG), and fine-tuned LLMs at scale. 🧠 Role Overview As the Lead AI Engineer , you will drive the development, deployment, and optimization of AI systems that power Darwix AI's real-time conversation intelligence platform. This includes voice-to-text transcription, speaker diarization, GenAI summarization, prompt engineering, knowledge retrieval, and real-time nudge delivery. You will lead a team of AI engineers and work closely with product managers, software architects, and data teams to ensure technical excellence, scalable architecture, and rapid iteration cycles. This is a high-ownership, hands-on leadership role where you will code, architect, and lead simultaneously. 🔧 Key Responsibilities 1. AI Architecture & Model Development Architect end-to-end AI pipelines for transcription, real-time inference, LLM integration, and vector-based retrieval. Build, fine-tune, and deploy STT models (Whisper, Wav2Vec2.0) and diarization systems for speaker separation. Implement GenAI pipelines using OpenAI, Gemini, LLaMA, Mistral, and other LLM APIs or open-source models. 2. Real-Time Voice AI System Development Design low-latency pipelines for capturing and processing audio in real-time across multi-lingual environments. Work on WebSocket-based bi-directional audio streaming, chunked inference, and result caching. Develop asynchronous, event-driven architectures for voice processing and decision-making. 3. RAG & Knowledge Graph Pipelines Create retrieval-augmented generation (RAG) systems that pull from structured and unstructured knowledge bases. Build vector DB architectures (e.g., FAISS, Pinecone, Weaviate) and connect to LangChain/LlamaIndex workflows. Own chunking, indexing, and embedding strategies (OpenAI, Cohere, Hugging Face embeddings). 4. Fine-Tuning & Prompt Engineering Fine-tune LLMs and foundational models using RLHF, SFT, PEFT (e.g., LoRA) as needed. Optimize prompts for summarization, categorization, tone analysis, objection handling, etc. Perform few-shot and zero-shot evaluations for quality benchmarking. 5. Pipeline Optimization & MLOps Ensure high availability and robustness of AI pipelines using CI/CD tools, Docker, Kubernetes, and GitHub Actions. Work with data engineering to streamline data ingestion, labeling, augmentation, and evaluation. Build internal tools to benchmark latency, accuracy, and relevance for production-grade AI features. 6. Team Leadership & Cross-Functional Collaboration Lead, mentor, and grow a high-performing AI engineering team. Collaborate with backend, frontend, and product teams to build scalable production systems. Participate in architectural and design decisions across AI, backend, and data workflows. 🛠️ Key Technologies & Tools Languages & Frameworks : Python, FastAPI, Flask, LangChain, PyTorch, TensorFlow, HuggingFace Transformers Voice & Audio : Whisper, Wav2Vec2.0, DeepSpeech, pyannote.audio, AssemblyAI, Kaldi, Mozilla TTS Vector DBs & RAG : FAISS, Pinecone, Weaviate, ChromaDB, LlamaIndex, LangGraph LLMs & GenAI APIs : OpenAI GPT-4/3.5, Gemini, Claude, Mistral, Meta LLaMA 2/3 DevOps & Deployment : Docker, GitHub Actions, CI/CD, Redis, Kafka, Kubernetes, AWS (EC2, Lambda, S3) Databases : MongoDB, Postgres, MySQL, Pinecone, TimescaleDB Monitoring & Logging : Prometheus, Grafana, Sentry, Elastic Stack (ELK) 🎯 Requirements & Qualifications 👨‍💻 Experience 2-6 years of experience in building and deploying AI/ML systems, with at least 2+ years in NLP or voice technologies. Proven track record of production deployment of ASR, STT, NLP, or GenAI models. Hands-on experience building systems involving vector databases, real-time pipelines, or LLM integrations. 📚 Educational Background Bachelor's or Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Tier 1 institute preferred (IITs, BITS, IIITs, NITs, or global top 100 universities). ⚙️ Technical Skills Strong coding experience in Python and familiarity with FastAPI/Django. Understanding of distributed architectures, memory management, and latency optimization. Familiarity with transformer-based model architectures, training techniques, and data pipeline design. 💡 Bonus Experience Worked on multilingual speech recognition and translation. Experience deploying AI models on edge devices or browsers. Built or contributed to open-source ML/NLP projects. Published papers or patents in voice, NLP, or deep learning domains. 🚀 What Success Looks Like in 6 Months Lead the deployment of a real-time STT + diarization system for at least 1 enterprise client. Deliver high-accuracy nudge generation pipeline using RAG and summarization models. Build an in-house knowledge indexing + vector DB framework integrated into the product. Mentor 2–3 AI engineers and own execution across multiple modules. Achieve <1 sec latency on real-time voice-to-nudge pipeline from capture to recommendation. 💼 What We Offer Compensation : Competitive fixed salary + equity + performance-based bonuses Impact : Ownership of key AI modules powering thousands of live enterprise conversations Learning : Access to high-compute GPUs, API credits, research tools, and conference sponsorships Culture : High-trust, outcome-first environment that celebrates execution and learning Mentorship : Work directly with founders, ex-Microsoft, IIT-IIM-BITS alums, and top AI engineers Scale : Opportunity to scale an AI product from 10 clients to 100+ globally within 12 months ⚠️ This Role is NOT for Everyone 🚫 If you're looking for a slow, abstract research role—this is NOT for you. 🚫 If you're used to months of ideation before shipping—you won't enjoy our speed. 🚫 If you're not comfortable being hands-on and diving into scrappy builds—you may struggle. ✅ But if you’re a builder , architect , and visionary —who loves solving hard technical problems and delivering real-time AI at scale, we want to talk to you. 📩 How to Apply Send your CV, GitHub/portfolio, and a brief note on “Why AI at Darwix?” to: 📧 careers@cur8.in Subject Line: Application – Lead AI Engineer – [Your Name] Include links to: Any relevant open-source contributions LLM/STT models you've fine-tuned or deployed RAG pipelines you've worked on 🔍 Final Thought This is not just a job. This is your opportunity to build the world’s most scalable AI sales intelligence platform —from India, for the world. Show more Show less

Join the Virtual Drive At TCS 28 may 2025 for skill Contact Center Configuration analyst---- Contact Center Technical SME for PAN INDIA location exp req:5+ yrs job Location:PAN INDIA JD Key Responsibilities - Serve as the technical expert for contact center platforms (e.g., Genesys, Avaya, Cisco, Amazon Connect, NICE CXone, five9). - Configure and maintain IVRs, call flows, routing strategies, agent profiles, and AI-powered virtual agents. - Collaborate with business and AI teams to design and implement Conversational AI solutions using platforms like Google Dialogflow, Amazon Lex, or Microsoft Bot Framework - Participate in RFP and proactive deals to provide solutions across contact center - Integrate Generative AI capabilities (e.g., OpenAI, Azure OpenAI, Google Vertex AI) for use cases such as agent assist, auto-summarization, sentiment analysis, and knowledge base generation. - Support the deployment and tuning of AI models for real-time and post-call analytics. - Ensure seamless integration between AI tools, CRM systems, and contact center platforms. - Monitor and optimize AI performance, ensuring high accuracy and customer satisfaction. - Maintain documentation for AI workflows, configurations, and system changes. - Stay current with emerging AI trends and recommend innovative solutions. Show more Show less

Job Profile - D365 and Copilot Job Location - Remote Experience - 5+yrs We are looking for a motivated and enthusiastic individual with strong knowledge of Microsoft Copilot solutions, including Copilot Studio, Copilot in Teams, Copilot in Microsoft 365 , and awareness of Azure AI, Power Apps, Power Automate, and Power BI . This role is ideal for someone who stays up-to-date with the latest Microsoft AI technologies and has the drive to learn and apply these in real-world business solutions. This role will focus on client requirement gathering, POC development, project delivery, demo solution creation, and mentoring internal team members to strengthen Copilot capabilities across the organization. Responsibilities: Collaborate directly with clients to gather requirements, understand business needs, and propose Copilot-based solutions. Design, develop, and deliver Proof of Concepts (POCs) and full-scale solutions using Microsoft Copilot technologies. Build and present demo solutions showcasing the capabilities of Copilot Studio, Teams Copilot, M365 Copilot, and Azure/OpenAI integrations. Lead and manage end-to-end Copilot project delivery ensuring quality, timelines, and client satisfaction. Act as a mentor and guide for internal teams by conducting training sessions and knowledge sharing on Copilot-related tools and best practices. Stay updated on the latest releases, enhancements, and best practices in Microsoft's Copilot ecosystem. Assist in developing internal assets, accelerators, and reusable components related to Copilot automation and AI solutions. Work closely with pre-sales teams to assist in solutioning and technical proposal creation for Copilot-related opportunities. Required Skills & Qualifications: Knowledge of Copilot Studio (basic to intermediate understanding of building copilots using low-code interface). Familiarity with Copilot in Teams and M365 and their usage scenarios. Exposure to Power Platform components (Power Apps, Power Automate, Power BI). Understanding of Azure AI/ML services, especially those related to LLMs and document intelligence, is a plus. Excellent communication and documentation skills. Willingness to learn and grow in a fast-paced AI-driven development environment. Preferred Qualifications: Microsoft certifications in Power Platform, Azure AI, or Copilot (where available) are a plus. Experience working in PreSales, client discussions, or solutioning is a plus. Exposure to Copilot use cases in HR, Finance, or IT operations is desirable. Soft Skills: Excellent communication and presentation skills. Strong organizational and documentation skills. Team player attitude with a proactive mindset towards learning and growth. Show more Show less

👨‍💻 We're Hiring: Prompt Engineering Developer ( Cursor.com / Copilot Expert) 📍 Location: On-site 🕒 Type: Full-time About Us: We’re a small, fast-moving IT company building smart solutions using modern tech. Right now, we’re looking for someone who’s not just a good developer — but a pro at using AI tools like Cursor.com or GitHub Copilot . If you enjoy working in a tight-knit team, love experimenting with new tools, and know how to get the best out of AI-assisted coding, we’d love to meet you. What You’ll Do: Write clear, effective prompts that help AI tools like Cursor or Copilot generate useful code Use Cursor.com or GitHub Copilot daily as part of your workflow (this is a must!) Work directly with a small, friendly team — we keep meetings short and ideas flowing Share what you learn and help the team level up with prompt engineering tips Stay curious and explore new tools or ways to improve how we build software What We’re Looking For: ✅ Strong hands-on experience with Cursor.com or GitHub Copilot ✅ Solid skills in prompt engineering ✅ Comfortable coding in any language ✅ Problem-solving mindset and ability to work independently ✅ Good communicator (we keep things simple and open) Nice to Have: Interest or experience in AI/ML projects Open-source or side projects involving AI prompts or tools Familiarity with APIs like OpenAI, Anthropic, etc. Why Join Us: Small team = more ownership, more impact Flexible work schedule and friendly setup A chance to work with cutting-edge AI tools daily We move fast, stay open to new ideas, and support each other 📩 Interested? Drop us a mail at hr@w3nuts.com with your resume and a prompt document (examples of the prompts you've created and used effectively), or contact us on +91 75758 71710 — and if you’ve done cool stuff using Cursor or Copilot , we want to see it! Show more Show less

Senior Backend Engineer - AI-Powered Software Creation Location: Pune, India (In-person role) | Compensation: 50,00,000 - 70,00,000 About Blitzy We're a Boston-based Generative AI startup with a growing presence in Pune, backed by tier-1 investors and led by successful founders with dozens of GenAI patents. Our mission? To revolutionize custom software creation through AI automation. Important: Application Process Candidates must complete a technical assessment on Coderbyte as the first step. This 3-hour assessment evaluates your backend development capabilities and is a crucial part of our selection process. You're welcome to use online resources and AI tools during the test. Link: https://coderbyte.com/sl-candidate?promo=blitzyai-soqdn:software-engineer-73-jegd9la&invb=user5x59dzwi Role Overview We're seeking experienced Backend Engineers to join our team in building the future of software development. You'll work directly with our US Engineering team, taking ownership of critical components in our AI-powered platform. Key Responsibilities Design and implement scalable backend services using Python, Terraform, and GCP Build and optimize microservices architecture for AI-powered applications Collaborate with cross-functional teams to deliver robust solutions Make architectural decisions that balance speed, quality, and safety Write, review, and ship production-grade code Required Technical Skills Expert-level Python programming & Kubernetes Understanding of Golang programming Strong experience with Terraform and GCP Proficiency in building microservices architectures Experience with SQL/NoSQL databases (PostgreSQL, MongoDB) Solid understanding of API design (REST, gRPC, GraphQL) Hands-on experience with CI/CD tools (Jenkins, CircleCI) What Sets You Apart Experience with AI platforms (OpenAI, Anthropic, HuggingFace) Track record of building enterprise-scale applications with 99% SLAs Strong background in distributed systems First-principles thinking approach to problem-solving Benefits & Perks Competitive salary Comprehensive medical insurance Provident Fund with gratuity US onsite opportunities for high performers International transfer possibilities Latest tech equipment and resources Beautiful office space with meals provided The Blitzy Culture We're a high-output, low-ego team that values curiosity and creative problem-solving. Our work environment supports work-life balance while pursuing ambitious goals. Application Steps Submit your application Complete the mandatory Coderbyte technical assessment (3-hour time limit) If successful, proceed to interview rounds Receive offer decision Ready for the Challenge? Start your application process by taking our technical assessment here: https://coderbyte.com/sl-candidate?promo=blitzyai-soqdn:software-engineer-73-jegd9la&invb=user5x59dzwi Note: The technical assessment is a mandatory first step. Only candidates who successfully complete the assessment will be considered for interviews. Show more Show less

Description Role Summary: The AI/ML Engineers will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. The ideal candidate will have expertise in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to improve the accuracy and relevance of generated content. Key Responsibilities:  Implement and optimize AI/ML algorithms for product integration.  Collaborate with data scientists to deploy models and integrate them with software products.  Design scalable solutions for AI/ML applications.  Develop automated pipelines for continuous model training and updates.  Work with engineering teams to ensure smooth integration and operation of AI models in production.  Monitor and troubleshoot AI/ML models to ensure reliability and performance. Required Experience:  4 – 6 years of hands-on experience in machine learning model development and deployment.  Hands-on experience in developing and fine-tuning Generative AI models, specifically focusing on Retrieval-Augmented Generation (RAG) systems.  Experience with frameworks such as Hugging Face, OpenAI, or other GenAI platforms, along with proficiency in data preprocessing and model evaluation, is required  Proficiency in Python, TensorFlow, Keras, PyTorch, or other AI/ML frameworks.  Experience with model deployment and monitoring in production environments.  Strong problem-solving skills and experience with cloud computing platforms (AWS, GCP, Azure).  Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Requirements Role Summary: The AI/ML Engineers will be responsible for developing, testing, and deploying machine learning models and AI algorithms that can be integrated into the product suite. The ideal candidate will have expertise in integrating large language models (LLMs) with external knowledge bases, fine-tuning model architectures for specific tasks, and optimizing retrieval strategies to improve the accuracy and relevance of generated content. Required Experience: 4 – 6 years of hands-on experience in machine learning model development and deployment. Hands-on experience in developing and fine-tuning Generative AI models, specifically focusing on Retrieval-Augmented Generation (RAG) systems. Experience with frameworks such as Hugging Face, OpenAI, or other GenAI platforms, along with proficiency in data preprocessing and model evaluation, is required Proficiency in Python, TensorFlow, Keras, PyTorch, or other AI/ML frameworks. Experience with model deployment and monitoring in production environments. Strong problem-solving skills and experience with cloud computing platforms (AWS, GCP, Azure). Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Job responsibilities Key Responsibilities: Implement and optimize AI/ML algorithms for product integration. Collaborate with data scientists to deploy models and integrate them with software products. Design scalable solutions for AI/ML applications. Develop automated pipelines for continuous model training and updates. Work with engineering teams to ensure smooth integration and operation of AI models in production. Monitor and troubleshoot AI/ML models to ensure reliability and performance. What we offer Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally. Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today. Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way! High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do. About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services. Show more Show less

Skills: 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge Skills : - LLM/ML ,application development, Data Handling,Data processing,Data engineering,Dataset creation, LLM performance metrics, fine-tuning, prompt engineering, Image/Video Processing, Generative AI, OpenAI, Claude, Prompt Engineering, autogen, agentic framework

Designation - Lead Python Developer Experience - 7+ years Location - Ahmedabad Office Opportunity - Work Full time Key Responsibilities: - Lead and mentor a team of Python developers, fostering a culture of continuous improvement, accountability, and high-quality engineering. - Own the architecture, design, and delivery of scalable Python-based applications and APIs. - Guide the team in applying best practices in software development, including coding standards, code reviews, testing, and DevOps. - Collaborate with Product Managers, Architects, and QA to ensure delivery of robust solutions aligned with business goals. - Design and optimize relational and NoSQL database schemas, queries, and migrations. - Oversee and contribute to the development of asynchronous systems using tools such as RabbitMQ. - Ensure secure and high-performance API design, including token-based authentication and caching strategies. - Stay up to date with advancements in AI, especially LLM APIs (e.g., OpenAI,Anthropic etc), and explore integration opportunities when applicable. Technical Skills & Requirements: Must-Have Technical Skills: - Strong proficiency in Python and web frameworks such as FastAPI, Flask, or Django - Expertise in designing RESTful APIs with performance, scalability, and security in mind - Solid experience with PostgreSQL, MySQL, and MongoDB - Hands-on experience with Unix/Linux, including Shell scripting - Experience with Docker and containerized deployments - Proficient in using Git, branching strategies, and collaborative workflows - Experience in frontend-backend integrations and knowledge of JavaScript Good to Have: - Familiarity with AI/ML pipelines, especially Large Language Model APIs (OpenAI, HuggingFace, etc.) - Exposure to DevOps practices, cloud infrastructure (AWS, GCP, Azure), CI/CD tools - Experience with message queues, event-driven systems, and job schedulers Show more Show less

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Position Title : Full Stack Lead Developer Experience : 10-13 Years Job Overview We are seeking a highly skilled and versatile polyglot Full Stack Developer with expertise in modern front-end and back-end technologies, cloud-based solutions, AI/ML and Gen AI. The ideal candidate will have a strong foundation in full-stack development, cloud platforms (preferably Azure), and hands-on experience in Gen AI, AI and machine learning technologies. Key Responsibilities Develop and maintain web applications using Angular/React.js, .NET, and Python. Design, deploy, and optimize Azure native PaaS and SaaS services, including but not limited to Function Apps, Service Bus, Storage Accounts, SQL Databases, Key vaults, ADF, Data Bricks and REST APIs with Open API specifications. Implement security best practices for data in transit and rest. Authentication best practices – SSO, OAuth 2.0 and Auth0. Utilize Python for developing data processing and advanced AI/ML models using libraries like pandas, NumPy, scikit-learn and Langchain, Llamaindex, Azure OpenAI SDK Leverage Agentic frameworks like Crew AI, Autogen etc. Well versed with RAG and Agentic Architecture. Strong in Design patterns – Architectural, Data, Object oriented Leverage azure serverless components to build highly scalable and efficient solutions. Create, integrate, and manage workflows using Power Platform, including Power Automate, Power Pages, and SharePoint. Apply expertise in machine learning, deep learning, and Generative AI to solve complex problems. Primary Skills Proficiency in React.js, .NET, and Python. Strong knowledge of Azure Cloud Services, including serverless architectures and data security. Experience with Python Data Analytics libraries: pandas NumPy scikit-learn Matplotlib Seaborn Experience with Python Generative AI Frameworks: Langchain LlamaIndex Crew AI AutoGen Familiarity with REST API design, Swagger documentation, and authentication best practices. Secondary Skills Experience with Power Platform tools such as Power Automate, Power Pages, and SharePoint integration. Knowledge of Power BI for data visualization (preferred). Preferred Knowledge Areas – Nice To Have In-depth understanding of Machine Learning, deep learning, supervised, un-supervised algorithms. Qualifications Bachelor's or master's degree in computer science, Engineering, or a related field. 6~12 years of hands-on experience in full-stack development and cloud-based solutions. Strong problem-solving skills and ability to design scalable, maintainable solutions. Excellent communication and collaboration skills. Show more Show less

Greetings from TCS!!! TCS is looking for Contact Center Technical SME Job Title - Contact Center Technical SME Experience - 8+ years Location - PAN India Role Overview We are looking for a Contact Center Technical SME with deep expertise in contact center configuration and a strong understanding of AI-driven customer engagement technologies. This role will be instrumental in configuring and optimizing contact center platforms while integrating Virtual Agents, Conversational AI, and Generative AI solutions to enhance customer experience and operational efficiency. Key Responsibilities Serve as the technical expert for contact center platforms (e.g., Genesys, Avaya, Cisco, Amazon Connect, NICE CXone, five9). Configure and maintain IVRs, call flows, routing strategies, agent profiles, and AI-powered virtual agents. Collaborate with business and AI teams to design and implement Conversational AI solutions using platforms like Google Dialogflow, Amazon Lex, or Microsoft Bot Framework Participate in RFP and proactive deals to provide solutions across contact center Integrate Generative AI capabilities (e.g., OpenAI, Azure OpenAI, Google Vertex AI) for use cases such as agent assist, auto-summarization, sentiment analysis, and knowledge base generation. Support the deployment and tuning of AI models for real-time and post-call analytics. Ensure seamless integration between AI tools, CRM systems, and contact center platforms. Monitor and optimize AI performance, ensuring high accuracy and customer satisfaction. Maintain documentation for AI workflows, configurations, and system changes. Stay current with emerging AI trends and recommend innovative solutions. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience). 8+ years of experience in contact center technology with a focus on configuration and system administration. Hands-on experience with contact center platforms and AI tools. Experience implementing Virtual Agents and Conversational AI solutions. Familiarity with Generative AI APIs and frameworks (e.g., OpenAI, Azure OpenAI, Google Cloud AI). Strong understanding of call routing, IVR design, ACD, CTI, and WFM systems. Proficiency in scripting or configuration languages used in contact center platforms. Excellent analytical, problem-solving, and communication skills. Show more Show less

Work From Office only- Jaipur, Rajasthan Must have experience: 4 year+ Should be strongly skilled in FastAPI, RAG, LLM, Generative AI About the Role: We are seeking a hands-on and experienced Data Scientist with deep expertise in Generative AI to join our AI/ML team. You will be instrumental in building and deploying machine learning solutions, especially GenAI-powered applications. Key Responsibilities: - Design, develop, and deploy scalable ML and GenAI solutions using LLMs, RAG pipelines, and advanced NLP techniques. - Implement GenAI use cases involving embeddings, summarization, semantic search, and prompt engineering. - Fine-tune and serve LLMs using frameworks like vLLM, LoRA, and QLoRA; deploy on cloud and on-premise environments. - Build inference APIs using FastAPI and orchestrate them into robust services. - Utilize tools and frameworks such as LangChain, LlamaIndex, ONNX, Hugging Face, and VectorDBs (Qdrant, FAISS). - Collaborate closely with engineering and business teams to translate use cases into deployed solutions. - Guide junior team members, provide architectural insights, and ensure best practices in MLOps and model lifecycle. - Stay updated on latest research and developments in GenAI, LLMs, and NLP. Required Skills and Experience: - 4-8 years of hands-on experience in Data Science/Machine Learning, with a strong focus on NLP and Generative AI. - Proven experience with LLMs (LLaMA 1/2/3, Mistral, FLAN T5) and concepts like RAG, fine-tuning, embeddings, chunking, reranking, and prompt optimization. - Experience with LLM APIs (OpenAI, Hugging Face) and open-source model deployment. - Proficiency in LangChain, LlamaIndex, and FastAPI. - Understanding of cloud platforms (AWS/GCP) and certification in a cloud technology is preferred. - Familiarity with MLOps tools and practices for CI/CD, monitoring, and retraining of ML models. - Ability to read and interpret ML research papers and LLM architecture diagrams. Show more Show less

Senior Technical Architect Machine Learning Solutions We are looking for a Senior Technical Architect with deep expertise in Machine Learning (ML), Artificial Intelligence (AI) , and scalable ML system design . This role will focus on leading the end-to-end architecture of advanced ML-driven platforms, delivering impactful, production-grade AI solutions across the enterprise. Key Responsibilities Lead the architecture and design of enterprise-grade ML platforms , including data pipelines, model training pipelines, model inference services, and monitoring frameworks. Architect and optimize ML lifecycle management systems (MLOps) to support scalable, reproducible, and secure deployment of ML models in production. Design and implement retrieval-augmented generation (RAG) systems, vector databases , semantic search , and LLM orchestration frameworks (e.g., LangChain, Autogen). Define and enforce best practices in model development, versioning, CI/CD pipelines , model drift detection, retraining, and rollback mechanisms. Build robust pipelines for data ingestion, preprocessing, feature engineering , and model training at scale , using batch and real-time streaming architectures. Architect multi-modal ML solutions involving NLP, computer vision, time-series, or structured data use cases. Collaborate with data scientists, ML engineers, DevOps, and product teams to convert research prototypes into scalable production services . Implement observability for ML models including custom metrics, performance monitoring, and explainability (XAI) tooling. Evaluate and integrate third-party LLMs (e.g., OpenAI, Claude, Cohere) or open-source models (e.g., LLaMA, Mistral) as part of intelligent application design. Create architectural blueprints and reference implementations for LLM APIs, model hosting, fine-tuning, and embedding pipelines . Guide the selection of compute frameworks (GPUs, TPUs), model serving frameworks (e.g., TorchServe, Triton, BentoML) , and scalable inference strategies (batch, real-time, streaming). Drive AI governance and responsible AI practices including auditability, compliance, bias mitigation, and data protection. Stay up to date on the latest developments in ML frameworks, foundation models, model compression, distillation, and efficient inference . 14. Ability to coach and lead technical teams , fostering growth, knowledge sharing, and technical excellence in AI/ML domains. Experience managing the technical roadmap for AI-powered products , documentations ensuring timely delivery, performance optimization, and stakeholder alignment. Required Qualifications Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 8+ years of experience in software architecture , with 5+ years focused specifically on machine learning systems and 2 years in leading team. Proven expertise in designing and deploying ML systems at scale , across cloud and hybrid environments. Strong hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn). Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant) and embedding models (e.g., SBERT, OpenAI, Cohere). Demonstrated proficiency in MLOps tools and platforms : MLflow, Kubeflow, SageMaker, Vertex AI, DataBricks, Airflow, etc. In-depth knowledge of cloud AI/ML services on AWS, Azure, or GCP – including certification(s) in one or more platforms. Experience with containerization and orchestration (Docker, Kubernetes) for model packaging and deployment. Ability to design LLM-based systems , including hybrid models (open-source + proprietary), fine-tuning strategies, and prompt engineering. Solid understanding of security, compliance , and AI risk management in ML deployments. Preferred Skills Experience with AutoML , hyperparameter tuning, model selection, and experiment tracking. Knowledge of LLM tuning techniques : LoRA, PEFT, quantization, distillation, and RLHF. Knowledge of privacy-preserving ML techniques , federated learning, and homomorphic encryption Familiarity with zero-shot, few-shot learning , and retrieval-enhanced inference pipelines. Contributions to open-source ML tools or libraries. Experience deploying AI copilots, agents, or assistants using orchestration frameworks.

CSQ326R35 Mission The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. This role can be remote based in India. The Impact You Will Have Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Build, scale, and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains Advise data teams on various data science such as architecture, tooling, and best practices Present at conferences such as Data+AI Summit Provide technical mentorship to the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI 5+ years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through ML [Preferred] Experience working with Databricks & Apache Spark to process large-scale distributed datasets About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more Show less

Skills : 1] Hands-on experience in LLM/ML based application development 2] Productionizing LLM/ML apps Data Handling/processing/engineering Dataset creation/curation 3] Understanding of different LLM performance metrics, fine-tuning, prompt engineering 4] Image/Video Processing 5] Generative AI, OpenAI, Claude Knowledge. Good in Prompt Engineering, autogen or similar agentic framework knowledge

At DeepIQ, we are building the world’s best {Data + AI} Ops platform for multi-modal data. Our platform helps some of the world’s largest enterprises generate insights from their telemetric (OT), geospatial and structured data. Our team includes leading experts in cloud and machine learning technologies with deep expertise in commercializing novel software and scaling high-growth companies. If you are passionate about deep learning and AI and enjoy writing production quality software, then we have the right job for you! We are committed to providing you an ideal work-life balance and a great place to do high quality work, learn new skills and grow in your career. Job Responsibilities Design agentic workflows and implement them using suitable LLM's. Research about latest trends and Tech in Gen AI space. Design and build software for large-scale data extraction and transformation from streaming, structured and unstructured data sources. Work closely with data scientists to develop and deploy data engineering and machine learning algorithms. Write python code to cleanse, manipulate and analyse large datasets including SQL/NoSQL databases, XMLs, JSON and PDF files Develop ETL workflows primarily using Python based software that satisfy identified business and data requirements. Follow set standards and best practices in ETL development. Refactor existing jobs that do not follow set standards. Provide guidance on ETL workflow implementation such as scheduling jobs, troubleshooting job errors, identifying issues in unusually long running jobs, etc. Skills Undergraduate or higher degree in Computer Science or related disciplines 2+ years of professional programming experience in Python for data processing and analysis Expertise in Python data packages (Pandas, Luigi, SQLAlchemy, etc) Strong SQL experience Experience with LLM's, OpenAI, Langchain and Langraph Experience with relational databases (Oracle/SQL server) and NoSQL databases (MongoDB) Experience in Apache Spark is a plus Experience with cloud-based EDW platforms like Snowflake, Redshift, BigQuery is a plus Show more Show less

Profile - MERN Stack Developer Experience - 4 to 6 years Location - Ahmedabad Key Responsibilities: Design, develop, and maintain backend services using Node.js and NestJS Build interactive and responsive UI components using React.js Integrate and manage data across multiple databases including MongoDB , PostgreSQL , and MySQL Work with external APIs, especially AI/ML services such as the OpenAI API Design and implement RESTful and GraphQL APIs Collaborate with cross-functional teams including product, design, and AI engineers Participate in code reviews, testing, and deployment processes Follow best practices in Git usage, CI/CD pipelines, and agile methodologies Required Skills: Strong proficiency in Node.js with deep understanding of the NestJS framework Advanced knowledge of React.js , including hooks, context API, and component lifecycle Proven experience working with multiple databases: MongoDB PostgreSQL MySQL Experience integrating and working with OpenAI API or other AI/ML APIs Solid understanding of REST and GraphQL API design Familiarity with Git and CI/CD workflows If you’re interested or know someone who would be a great fit—please send your CV to shailly@spaceogroup.com or feel free to DM me for more details. Show more Show less

Noventiq (Noventiq Holdings PLC) is a leading global solutions and services provider in digital transformation and cybersecurity, headquartered in London. The company enables, facilitates, and accelerates digital transformation for its customers’ businesses, connecting 80,000+ organizations across all sectors with a vast selection of best-in-class IT vendors, alongside its own services and solutions. Noventiq delivered record gross revenue of $1.6 billion for the 12 months to March 31, 2023, an increase of 52% in constant currency. The company’s growth is underpinned by its three-dimensional strategy to expand its markets, portfolio, and sales channels. The strategy is supported by an active approach to M&As which enables Noventiq to take advantage of the ongoing consolidation in the industry. Noventiq's 6,400 employees work in approximately 60 countries throughout Asia, Latin America, Europe, Middle East, and Africa—markets with significant growth potential. One of the largest SI’s in India with revenue close to 700M$ and growing to 900M$. 3500+ Employees in India for India. Total 28 Offices in India across North, South, West & East. 1000+ Resident Engineers across India. 2500+ technical resources in India for India. Technology partnerships with Top 3 Cloud Solution Providers, Top 3 Infrastructure companies, Top 10 Cybersecurity companies. Enviable customer base: 4 of Top 5 Banks, 3 of Top 5 IT companies, 3 of Top 5 BPO’s, 3 of Top 5 Pharma companies. Largest partner to Microsoft with combined infeed of US$600M about 25% of Microsoft India revenues. About The Role Data is no longer a by-product—it's a business enabler. We're looking for a consultative sales leader who can help customers move from traditional data silos to modern, AI-ready platforms. Qualifications And Experience Required Strong understanding of Azure Data Services, AWS Redshift, Databricks, Snowflake, or GCP BigQuery. Experience with enterprise data projects—data lakes, ML model integrations, BI dashboards, semantic modeling. Exposure to industry tools like Power BI, Tableau, Azure ML, OpenAI. Experience with data governance, quality, lineage, and cataloging initiatives. Comfort in navigating large deals involving compliance and transformation mandates. Key Responsibilities Identify and acquire new logos across mid-market and enterprise segments for data modernization. Engage business and IT leaders to reimagine their data strategies—from warehouse migrations to AI-led transformation. Position cloud-native data lakes, lake houses, semantic models, and AI integrations with clear business outcomes. Focus on real-world impact—Customer 360, risk analytics, predictive maintenance, AI copilots, process automation. Run discovery sessions, executive workshops, and partner with solution engineers to design right-fit proposals. Show more Show less

Noventiq (Noventiq Holdings PLC) is a leading global solutions and services provider in digital transformation and cybersecurity, headquartered in London. The company enables, facilitates, and accelerates digital transformation for its customers’ businesses, connecting 80,000+ organizations across all sectors with a vast selection of best-in-class IT vendors, alongside its own services and solutions. Noventiq delivered record gross revenue of $1.6 billion for the 12 months to March 31, 2023, an increase of 52% in constant currency. The company’s growth is underpinned by its three-dimensional strategy to expand its markets, portfolio, and sales channels. The strategy is supported by an active approach to M&As which enables Noventiq to take advantage of the ongoing consolidation in the industry. Noventiq's 6,400 employees work in approximately 60 countries throughout Asia, Latin America, Europe, Middle East, and Africa—markets with significant growth potential. One of the largest SI’s in India with revenue close to 700M$ and growing to 900M$. 3500+ Employees in India for India. Total 28 Offices in India across North, South, West & East. 1000+ Resident Engineers across India. 2500+ technical resources in India for India. Technology partnerships with Top 3 Cloud Solution Providers, Top 3 Infrastructure companies, Top 10 Cybersecurity companies. Enviable customer base: 4 of Top 5 Banks, 3 of Top 5 IT companies, 3 of Top 5 BPO’s, 3 of Top 5 Pharma companies. Largest partner to Microsoft with combined infeed of US$600M about 25% of Microsoft India revenues. About The Role Data is no longer a by-product—it's a business enabler. We're looking for a consultative sales leader who can help customers move from traditional data silos to modern, AI-ready platforms. Qualifications And Experience Required Strong understanding of Azure Data Services, AWS Redshift, Databricks, Snowflake, or GCP BigQuery. Experience with enterprise data projects—data lakes, ML model integrations, BI dashboards, semantic modeling. Exposure to industry tools like Power BI, Tableau, Azure ML, OpenAI. Experience with data governance, quality, lineage, and cataloging initiatives. Comfort in navigating large deals involving compliance and transformation mandates. Key Responsibilities Identify and acquire new logos across mid-market and enterprise segments for data modernization. Engage business and IT leaders to reimagine their data strategies—from warehouse migrations to AI-led transformation. Position cloud-native data lakes, lake houses, semantic models, and AI integrations with clear business outcomes. Focus on real-world impact—Customer 360, risk analytics, predictive maintenance, AI copilots, process automation. Run discovery sessions, executive workshops, and partner with solution engineers to design right-fit proposals. Show more Show less

Celigo, a fast-growing Silicon Valley startup, is revolutionizing the cloud-based application integration landscape with our integrator.io iPaaS platform. We are looking for a talented engineer to help lead our internal AI/ML initiatives, and drive innovation throughout our integration platform. Responsibilities Help lead the charge at Celigo evaluating, implementing and deploying some of the hottest AI/ML frameworks like OpenAI, LangChain, Pinecone, Spacy, Hugging Face, etc… Develop and refine NLP models using the OpenAI platform to meet specific use cases and requirements. Utilize machine learning techniques to analyze and interpret data. Architect, implement and deploy Python microservices at AWS via containers/K8s delivered via fully automated CI/CD pipeline. Collaborate with software engineers to accelerate integrating more and more AI/ML capabilities into our products, ensuring seamless functionality and user experience. Work closely with product managers and business stakeholders to understand their requirements and develop AI/ML solutions that meet their needs, balancing technical feasibility with business objectives. Help ensure the security and privacy of user data by implementing appropriate safeguards, and staying informed on industry best practices. Qualifications 15+ years of total experience in software product development, with at least 4 years of relevant technical expertise in architecting solutions around AI/ML, NLP, data science, deep learning, etc… Multiple years experience building and supporting multi tenant SaaS applications at scale. A postgraduate degree with strong experience in research, or equivalent job experiences with a proven track record of successful outcomes. Hands-on experience developing AI/ML models in real-world environments and integrating AI/ML using cloud-native or hybrid technologies into large-scale enterprise applications is a plus Expertise with Python, comfortability with Node.js. Good with both SQL and NoSQL databases and technologies. Why You’ll Love Working At Celigo Solving complex integration challenges As an AI architect at Celigo, you will be part of a team that is tackling one of the most difficult problems faced by businesses worldwide: integrating cloud applications. You will be at the forefront of creating innovative solutions that help our customers automate their business processes. Automation expertise Celigo is the only iPaaS (Integration Platform as a Service) provider that offers prebuilt integrations to automate business processes across multiple cloud applications. You will have the opportunity to develop your skills in automation and leverage the latest AI technologies to build intelligent solutions. Values that guide our mission At Celigo, we have a set of guiding principles and beliefs that shape our work environment and culture. We are committed to fostering a workplace that promotes teamwork, creativity, and learning. A Company That Stands For Something Celigo's Taking a Stand initiative is our commitment to promoting diversity, equity, and inclusion. We believe that a diverse and inclusive workplace is essential to our success, and we are dedicated to making a positive impact in our community. Work-life balance We believe that a healthy work-life balance is critical to our team's happiness and productivity. As part of our commitment to this, we offer our employees three weeks of vacation and holidays from their first year, so they can recharge and spend time with loved ones. Great Benefits And Perks Celigo offers a comprehensive benefits package, including a tech stipend, pre-tax commuter expense reimbursement, and recognition opportunities. Our goal is to create an environment where our employees feel supported and valued, with opportunities for growth and development. Show more Show less

About The Role Grade Level (for internal use): 12 S&P Global – DTS Platform & Tools (Service Enablement) The Role : Associate Director, Product Management Grade : 12 The Location : Gurgaon (primary)/Hyderabad/Bangalore The Team The Service Enablement team is responsible for providing products and solutions that enable better and higher quality service delivery across the organization. Their primary focus is on facilitating the successful implementation and integration of these products, ensuring that they align with business needs and enhance the overall user experience. This involves offering comprehensive training and support to users, gathering feedback to drive continuous improvement, and optimizing processes to maximize efficiency. The Impact Are you looking for an opportunity to advance your career as an innovative enterprise leader? The Platform & Tools team is seeking for an innovative professional who can bring leadership, creativity, and Product Management experience to a global team. What’s In It For You As a Product Leader, you'll spearhead AI innovations and advance your career in enterprise leadership. You'll engage with cutting-edge technologies and gain valuable product management experience. Contribute to transformative initiatives that redefine the future of service delivery. Responsibilities In your daily role, you will drive in the innovation, development, implementation, and adoption of product strategies that align with organizational goals. You will evaluate industry-leading technologies, conduct analyses to identify value-driven solutions, and monitor product performance. Your responsibilities will also include mentoring team members, facilitating training, and ensuring timely delivery of high-quality products. By promoting a culture of innovation, you will support the adoption of AI technologies and contribute to the success of the Service Enablement team. Product Leadership & Strategy Define and own the product vision, strategy, and roadmap for Service Enablement products, ensuring alignment with organizational goals and customer needs. Identify opportunities to leverage AI and intelligent workflows to streamline business operations and enhance user productivity. Guide cross-functional teams in delivering impactful and scalable products that meet market demands. AI and Emerging Technology Integration Evaluate and integrate cutting-edge AI capabilities, including large language models (LLMs), autonomous agents, machine learning workflows, and AI-driven decision-making frameworks. Collaborate with AI/ML research and engineering teams to develop innovative features that transform service delivery and support models. Stay updated on trends in AI and productivity platforms to apply relevant technologies. Customer & Market Insight Develop an understanding of user personas and pain points to drive effective product design. Conduct market research and competitive analysis to ensure product differentiation. Analyze product usage data and customer feedback to optimize features and outcomes. Execution & Delivery Support product strategy planning, prioritization, and execution throughout the product lifecycle. Collaborate with enterprise stakeholders to ensure alignment and success. Contribute to product OKRs and continuous improvement through agile practices. Team Leadership Mentor and develop a high-performing team of product managers. Foster a culture of innovation, accountability, and customer-centric thinking within the product organization. Qualifications Over 7 years of product management experience or similar roles, with a proven track record of success. Experience in leading enterprise platforms and initiatives. Strong understanding of customer and market dynamics within the service enablement discipline. Customer-focused mindset with a history of delivering impactful solutions. Knowledge of AI technologies, including generative AI and intelligent workflow systems. Experience working in agile environments with cross-functional teams. Excellent leadership, communication, and stakeholder management skills. Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field. Willingness to work flexible hours to meet business needs. Preferred Qualifications SAFe Certification. Experience with Service Management platforms such as Service Now, Jira Service Management, Moveworks, Aisera, etc. Familiarity with AI frameworks and tools such as OpenAI, LangChain, or AutoGPT. Proficient in measuring impact with a data-driven approach. 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. 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 202 - Middle Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group) Job ID: 314476 Posted On: 2025-05-01 Location: Hyderabad, Telangana, India Show more Show less

About The Role Grade Level (for internal use): 13 S&P Global – DTS Platform & Tools (Service Enablement) The Role : Director, Product Management The Location : Gurgaon (primary)/Hyderabad/Bangalore The Team The Service Enablement team is responsible for providing products and solutions that enable better and higher quality service delivery across the organization. Their primary focus is on facilitating the successful implementation and integration of these products, ensuring that they align with business needs and enhance the overall user experience. This involves offering comprehensive training and support to users, gathering feedback to drive continuous improvement, and optimizing processes to maximize efficiency. The Impact Are you looking for an opportunity to advance your career as an innovative enterprise leader? The Platform & Tools team is seeking for an innovative professional who can bring leadership, creativity, and Product Management experience to a global team. What’s In It For You As a Product Leader, you'll spearhead AI innovations and advance your career in enterprise leadership. You'll engage with cutting-edge technologies and gain valuable product management experience. Contribute to transformative initiatives that redefine the future of service delivery. Responsibilities In your day-to-day role, you will lead the innovation, development, implementation, and adoption of product strategies that align with organizational goals. You will assess industry-leading technologies and solutions, conducting thorough analyses to identify the best options that drive value and align with the organization's strategic objectives. Additionally, you will establish baselines, monitor product performance, analyze market trends, and gather user feedback to facilitate continuous improvement. Your responsibilities will also include mentoring team members, facilitating training sessions, and ensuring that all products are delivered on time and meet high-quality standards. By cultivating a culture of innovation, you will champion the adoption of AI technologies and significantly contribute to the overall success of the Service Enablement team. Product Leadership & Strategy Define and own the product vision, strategy, and roadmap for Service Enablement products, ensuring alignment with organizational goals and customer needs. Identify opportunities to leverage AI and intelligent workflows to streamline business operations and enhance user productivity. Guide cross-functional teams in delivering impactful and scalable products that meet market demands. AI and Emerging Technology Integration Evaluate and integrate cutting-edge AI capabilities, including large language models (LLMs), autonomous agents, machine learning workflows, and AI-driven decision-making frameworks. Collaborate with AI/ML research and engineering teams to develop innovative features that transform service delivery and support models. Stay informed about the latest trends in AI, automation, and productivity platforms, applying relevant technologies effectively. Customer & Market Insight Develop a deep understanding of user personas, pain points, and behavioral workflows in service environments to drive effective product design. Conduct comprehensive market research and competitive analysis to ensure product differentiation and maintain a strategic advantage. Collect and analyze product usage data, customer feedback, and performance metrics to continuously optimize product features and outcomes. Execution & Delivery Lead product strategy planning, prioritization, and execution throughout the product lifecycle, ensuring timely delivery and alignment with business objectives. Collaborate closely with enterprise stakeholders, and executive leadership to ensure alignment and success. Own product OKRs and drive continuous improvement through agile product development practices. Team Leadership Build, mentor, and scale a high-performing team of product managers, fostering their professional growth and development. Cultivate a culture of innovation, accountability, and customer-centric thinking within the product organization, encouraging collaboration and creativity. Qualifications Over 10 years of product management experience or similar roles, demonstrating a strong track record of success. Extensive experience in leading enterprise platforms and enterprise initiatives. Strategic thinker with the ability to manage tactical execution across complex roadmaps. Strong understanding of customer and market dynamics within the service enablement discipline. Customer-focused mindset with a proven history of delivering intuitive and high-impact solutions Knowledge of AI technologies, including generative AI, AI agents, large language models (LLMs), and intelligent workflow systems. Proven ability to assess and integrate innovative technologies into product offerings seamlessly. Experience working with in agile environments with distributed, cross-functional teams. Exceptional leadership, communication, and stakeholder management skills. Demonstrated capability in facilitating, leading, and influencing within large-scale, globally distributed organizations. Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field Willingness to work flexible hours to meet business needs. Preferred Qualifications SAFe Certification. Experience with Service Management platforms such as Service Now, Jira Service Management, Moveworks, Aisera etc. Expertise in exploring and evaluating emerging AI technologies, particularly large language models (LLMs), AI agents, and generative AI, to drive product innovation. Familiarity with AI frameworks and tools such as OpenAI, LangChain, AutoGPT, or other agentic architectures. Proficient in measuring impact through a data-driven approach, utilizing comprehensive usage analytics, customer feedback, and outcome-driven metrics. 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. 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 202 - Middle Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group) Job ID: 314450 Posted On: 2025-05-01 Location: Gurgaon, Haryana, India Show more Show less

About The Role Grade Level (for internal use): 13 S&P Global – DTS Platform & Tools (Service Enablement) The Role : Director, Product Management The Location : Gurgaon (primary)/Hyderabad/Bangalore The Team The Service Enablement team is responsible for providing products and solutions that enable better and higher quality service delivery across the organization. Their primary focus is on facilitating the successful implementation and integration of these products, ensuring that they align with business needs and enhance the overall user experience. This involves offering comprehensive training and support to users, gathering feedback to drive continuous improvement, and optimizing processes to maximize efficiency. The Impact Are you looking for an opportunity to advance your career as an innovative enterprise leader? The Platform & Tools team is seeking for an innovative professional who can bring leadership, creativity, and Product Management experience to a global team. What’s In It For You As a Product Leader, you'll spearhead AI innovations and advance your career in enterprise leadership. You'll engage with cutting-edge technologies and gain valuable product management experience. Contribute to transformative initiatives that redefine the future of service delivery. Responsibilities In your day-to-day role, you will lead the innovation, development, implementation, and adoption of product strategies that align with organizational goals. You will assess industry-leading technologies and solutions, conducting thorough analyses to identify the best options that drive value and align with the organization's strategic objectives. Additionally, you will establish baselines, monitor product performance, analyze market trends, and gather user feedback to facilitate continuous improvement. Your responsibilities will also include mentoring team members, facilitating training sessions, and ensuring that all products are delivered on time and meet high-quality standards. By cultivating a culture of innovation, you will champion the adoption of AI technologies and significantly contribute to the overall success of the Service Enablement team. Product Leadership & Strategy Define and own the product vision, strategy, and roadmap for Service Enablement products, ensuring alignment with organizational goals and customer needs. Identify opportunities to leverage AI and intelligent workflows to streamline business operations and enhance user productivity. Guide cross-functional teams in delivering impactful and scalable products that meet market demands. AI and Emerging Technology Integration Evaluate and integrate cutting-edge AI capabilities, including large language models (LLMs), autonomous agents, machine learning workflows, and AI-driven decision-making frameworks. Collaborate with AI/ML research and engineering teams to develop innovative features that transform service delivery and support models. Stay informed about the latest trends in AI, automation, and productivity platforms, applying relevant technologies effectively. Customer & Market Insight Develop a deep understanding of user personas, pain points, and behavioral workflows in service environments to drive effective product design. Conduct comprehensive market research and competitive analysis to ensure product differentiation and maintain a strategic advantage. Collect and analyze product usage data, customer feedback, and performance metrics to continuously optimize product features and outcomes. Execution & Delivery Lead product strategy planning, prioritization, and execution throughout the product lifecycle, ensuring timely delivery and alignment with business objectives. Collaborate closely with enterprise stakeholders, and executive leadership to ensure alignment and success. Own product OKRs and drive continuous improvement through agile product development practices. Team Leadership Build, mentor, and scale a high-performing team of product managers, fostering their professional growth and development. Cultivate a culture of innovation, accountability, and customer-centric thinking within the product organization, encouraging collaboration and creativity. Qualifications Over 10 years of product management experience or similar roles, demonstrating a strong track record of success. Extensive experience in leading enterprise platforms and enterprise initiatives. Strategic thinker with the ability to manage tactical execution across complex roadmaps. Strong understanding of customer and market dynamics within the service enablement discipline. Customer-focused mindset with a proven history of delivering intuitive and high-impact solutions Knowledge of AI technologies, including generative AI, AI agents, large language models (LLMs), and intelligent workflow systems. Proven ability to assess and integrate innovative technologies into product offerings seamlessly. Experience working with in agile environments with distributed, cross-functional teams. Exceptional leadership, communication, and stakeholder management skills. Demonstrated capability in facilitating, leading, and influencing within large-scale, globally distributed organizations. Bachelor’s or Master’s degree in Computer Science, Engineering, Business, or a related field Willingness to work flexible hours to meet business needs. Preferred Qualifications SAFe Certification. Experience with Service Management platforms such as Service Now, Jira Service Management, Moveworks, Aisera etc. Expertise in exploring and evaluating emerging AI technologies, particularly large language models (LLMs), AI agents, and generative AI, to drive product innovation. Familiarity with AI frameworks and tools such as OpenAI, LangChain, AutoGPT, or other agentic architectures. Proficient in measuring impact through a data-driven approach, utilizing comprehensive usage analytics, customer feedback, and outcome-driven metrics. 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. 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 202 - Middle Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group) Job ID: 314450 Posted On: 2025-05-01 Location: Gurgaon, Haryana, India Show more Show less