4114 Retrieval Jobs - Page 23

This role is for one of Weekday's clients Min Experience: 3 years Location: Gurugram, NCR, Delhi, Haryana, Punjab, Uttar Pradesh, Kanpur JobType: full-time Requirements About the Role: We are seeking a skilled and passionate AI Engineer with a focus on Large Language Models (LLMs) to join our advanced AI and machine learning team. As an AI Engineer, you will play a vital role in designing, developing, and deploying intelligent systems that leverage the power of LLMs to solve real-world business challenges. You will work on cutting-edge projects that utilize the latest advancements in generative AI, natural language processing, and model fine-tuning techniques. This is an exciting opportunity for professionals who thrive in a fast-paced, innovative environment and are driven by curiosity, creativity, and a desire to work on meaningful AI applications. Key Responsibilities: Design, build, and optimize AI models with a strong focus on Large Language Models (e.g., GPT, BERT, T5, LLaMA). Develop and implement RAG (Retrieval-Augmented Generation) pipelines and vector search solutions to enhance model accuracy and contextual understanding. Fine-tune and evaluate pre-trained LLMs on domain-specific datasets to meet performance and accuracy benchmarks. Build robust APIs and tools for integrating AI-powered solutions into production systems and customer-facing applications. Collaborate with data scientists, product managers, and software engineers to align AI functionality with business needs. Conduct research and stay up-to-date with the latest developments in LLMs, NLP, and generative AI. Apply techniques such as prompt engineering, few-shot learning, and instruction tuning to improve model interaction quality. Ensure data integrity, performance optimization, and model explainability in all deployed solutions. Participate in code reviews, documentation, and knowledge sharing to maintain engineering best practices. Requirements: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum 3 years of hands-on experience working with AI/ML models, with at least 1-2 years focused on LLMs and NLP applications. Proficiency in Python and popular AI frameworks/libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or OpenAI APIs. Experience with vector databases like FAISS, Pinecone, or Weaviate for retrieval tasks. Strong knowledge of LLM fine-tuning, embeddings, tokenization, and transformer-based architectures. Solid understanding of data preprocessing, text generation, and evaluation metrics in NLP tasks. Familiarity with deployment tools and cloud platforms such as AWS, Azure, or GCP. Ability to work in a collaborative, agile environment and contribute to cross-functional AI initiatives. Preferred Skills: Experience working with RAG pipelines, multi-turn conversations, or enterprise search. Background in knowledge graphs, ontologies, or semantic search. Exposure to MLOps practices and automated model deployment pipelines. Publications or contributions in the field of AI/NLP are a plus.

This role is for one of Weekday's clients Min Experience: 3 years Location: Gurugram, NCR, Delhi, Haryana, Punjab, Uttar Pradesh, Kanpur JobType: full-time Requirements About the Role: We are seeking a skilled and passionate AI Engineer with a focus on Large Language Models (LLMs) to join our advanced AI and machine learning team. As an AI Engineer, you will play a vital role in designing, developing, and deploying intelligent systems that leverage the power of LLMs to solve real-world business challenges. You will work on cutting-edge projects that utilize the latest advancements in generative AI, natural language processing, and model fine-tuning techniques. This is an exciting opportunity for professionals who thrive in a fast-paced, innovative environment and are driven by curiosity, creativity, and a desire to work on meaningful AI applications. Key Responsibilities: Design, build, and optimize AI models with a strong focus on Large Language Models (e.g., GPT, BERT, T5, LLaMA). Develop and implement RAG (Retrieval-Augmented Generation) pipelines and vector search solutions to enhance model accuracy and contextual understanding. Fine-tune and evaluate pre-trained LLMs on domain-specific datasets to meet performance and accuracy benchmarks. Build robust APIs and tools for integrating AI-powered solutions into production systems and customer-facing applications. Collaborate with data scientists, product managers, and software engineers to align AI functionality with business needs. Conduct research and stay up-to-date with the latest developments in LLMs, NLP, and generative AI. Apply techniques such as prompt engineering, few-shot learning, and instruction tuning to improve model interaction quality. Ensure data integrity, performance optimization, and model explainability in all deployed solutions. Participate in code reviews, documentation, and knowledge sharing to maintain engineering best practices. Requirements: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum 3 years of hands-on experience working with AI/ML models, with at least 1-2 years focused on LLMs and NLP applications. Proficiency in Python and popular AI frameworks/libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or OpenAI APIs. Experience with vector databases like FAISS, Pinecone, or Weaviate for retrieval tasks. Strong knowledge of LLM fine-tuning, embeddings, tokenization, and transformer-based architectures. Solid understanding of data preprocessing, text generation, and evaluation metrics in NLP tasks. Familiarity with deployment tools and cloud platforms such as AWS, Azure, or GCP. Ability to work in a collaborative, agile environment and contribute to cross-functional AI initiatives. Preferred Skills: Experience working with RAG pipelines, multi-turn conversations, or enterprise search. Background in knowledge graphs, ontologies, or semantic search. Exposure to MLOps practices and automated model deployment pipelines. Publications or contributions in the field of AI/NLP are a plus.

Be part of a high-growth Customer and Employee Experience consulting firm that has been recognized as one of the fastest growing companies in America by Inc. 5000 and honoured in the Deloitte Technology Fast 500 North America. Altudo is seeking a Senior AI Developer with deep expertise in Generative AI and Agentic AI architectures to join our growing AI & Innovation team. This role is crucial in driving the development of advanced AI-based solutions, including AI agents, RAG pipelines, and LLM-powered workflows. The ideal candidate will possess strong hands-on experience in building enterprise-grade GenAI systems, with proficiency in Microsoft Azure AI services and large language model integration. You will work closely with architects, product teams, and business stakeholders to convert cutting-edge AI ideas into scalable, secure, and high-performing applications that power exceptional customer experiences. . Role: Senior AI developer Location: Gurgaon/Noida What will you do: Develop and optimize RAG (Retrieval Augmented Generation) systems with grounding in enterprise data Build and orchestrate multi-agent AI systems to solve complex business tasks Implement intelligent agents using frameworks like LangChain, Semantic Kernel, or CrewAI Integrate OpenAI models (GPT-4, GPT-3.5), Azure OpenAI, or similar LLMs into enterprise workflows Build prompt pipelines, vector search, memory chaining, and context-aware reasoning workflows Collaborate with frontend/backend teams to ensure seamless integration of GenAI APIs Own code quality, reusability, and performance standards for AI components Translate business requirements into scalable AI models and data flows Co-create accelerators, POCs, and IP-driven solutions in collaboration with product and strategy teams Contribute to internal GenAI best practices, reusable modules, and documentation Ensure AI solutions comply with data governance, security, and privacy standards Optimize LLM cost-performance trade-offs and manage lifecycle deployment on Azure Who you are: 4+ years of experience in software development, with 1-2 years focused on AI/ML or GenAI Deep expertise in Python and at least one GenAI stack (LangChain, Semantic Kernel, CrewAI, LlamaIndex) Hands-on experience with Azure AI ecosystem (Azure OpenAI, Azure Cognitive Search, Azure ML, Vector DBs) Strong knowledge of LLM architecture, prompt engineering, embeddings, and RAG design Proven ability to translate use cases into scalable AI solutions Experience working with RESTful APIs, cloud-native services, and CI/CD pipelines Excellent communication and problem-solving skills Preferred Qualifications: Prior experience building AI copilots or assistants Familiarity with tools like Pinecone, Deviate, or Qdrant for vector search Contributions to open-source AI projects or communities is a plus What’s in it for you Build industry-defining solutions at the intersection of AI and customer experience Get early exposure to innovation programs and strategic AI product development Work with a dynamic global team pushing the frontier of LLM and Agentic AI adoption Fast-track career opportunities and mentorship from leaders in AI, architecture, and CX Be part of a high-visibility, high-impact initiative inside a rapidly growing organization About Altudo: Altudo is an award-winning customer experience consulting firm with a global presence across the US, Canada, and South America. Recognized as one of the fastest-growing companies in America by Inc. 5000 and honored in the Deloitte Technology Fast 500 North America, Altudo has cemented its position as a leader in the industry. Altudo is proud to be recognized among India’s top 50 Best Companies to Work For™ in 2022 and 2023 by the Great Place to Work® Institute. It is also certified as a great workplace for women and millennials. Over the last two decades, we have established ourselves as a leader in the customer experience space, with over fifty Fortune 500 companies among our clients. We specialize in creating solutions that improve customer experience and drive revenue. Our work has earned us numerous accolades and international recognition. Our success is rooted in our people and our work culture. We provide fast-track growth opportunities to our top performers and foster entrepreneurial avenues that contribute to their holistic development at Altudo. Additionally, we have strong alliances with Sitecore (Platinum), Microsoft, BigCommerce, and Adobe. Learn more about us at https://www.altudo.co/

About Xebia Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in t echnology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses. Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centres across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific. Job Title: Generative AI Engineer Exp: 8 - 12 yrs Location: Bengaluru, Chennai, Gurgaon & Pune Job Summary: We are seeking a highly skilled Generative AI Engineer with hands-on experience in developing and deploying cutting-edge AI solutions using AWS, Amazon Bedrock, and agentic AI frameworks. The ideal candidate will have a strong background in machine learning and prompt engineering, with a passion for building intelligent, scalable, and secure GenAI applications. Key Responsibilities: Design, develop, and deploy Generative AI models and pipelines for real-world use cases. Build and optimize solutions using AWS AI/ML services , including Amazon Bedrock , SageMaker, and related cloud-native tools. Develop and orchestrate Agentic AI systems , integrating autonomous agents with structured workflows and dynamic decision-making. Collaborate with cross-functional teams including data scientists, cloud engineers, and product managers to translate business needs into GenAI solutions. Implement prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques to optimize model performance. Ensure robustness, scalability, and compliance in GenAI workloads deployed in production environments. Required Skills & Qualifications: Strong experience with Generative AI models (e.g., GPT, Claude, Mistral, etc.) Hands-on experience with Amazon Bedrock and other AWS AI/ML services. Proficiency in building and managing Agentic AI systems using frameworks like LangChain, AutoGen, or similar. Solid understanding of cloud-native architectures and ML Ops on AWS. Proficiency in Python and relevant GenAI/ML libraries (Transformers, PyTorch, LangChain, etc.) Familiarity with security, cost, and governance best practices for GenAI on cloud. Preferred Qualifications: AWS certifications (e.g., AWS Certified Machine Learning Specialty ) Experience with LLMOps tools and vector databases (e.g., Pinecone, FAISS, Weaviate) Background in NLP, knowledge graphs, or conversational AI. Why Join Us? Work on cutting-edge AI technologies that are transforming industries. Collaborative and innovative environment. Opportunities for continuous learning and growth.

This role is for one of Weekday's clients Min Experience: 3 years Location: Gurugram, NCR, Delhi, Haryana, Punjab, Uttar Pradesh, Kanpur JobType: full-time Requirements About the Role: We are seeking a skilled and passionate AI Engineer with a focus on Large Language Models (LLMs) to join our advanced AI and machine learning team. As an AI Engineer, you will play a vital role in designing, developing, and deploying intelligent systems that leverage the power of LLMs to solve real-world business challenges. You will work on cutting-edge projects that utilize the latest advancements in generative AI, natural language processing, and model fine-tuning techniques. This is an exciting opportunity for professionals who thrive in a fast-paced, innovative environment and are driven by curiosity, creativity, and a desire to work on meaningful AI applications. Key Responsibilities: Design, build, and optimize AI models with a strong focus on Large Language Models (e.g., GPT, BERT, T5, LLaMA). Develop and implement RAG (Retrieval-Augmented Generation) pipelines and vector search solutions to enhance model accuracy and contextual understanding. Fine-tune and evaluate pre-trained LLMs on domain-specific datasets to meet performance and accuracy benchmarks. Build robust APIs and tools for integrating AI-powered solutions into production systems and customer-facing applications. Collaborate with data scientists, product managers, and software engineers to align AI functionality with business needs. Conduct research and stay up-to-date with the latest developments in LLMs, NLP, and generative AI. Apply techniques such as prompt engineering, few-shot learning, and instruction tuning to improve model interaction quality. Ensure data integrity, performance optimization, and model explainability in all deployed solutions. Participate in code reviews, documentation, and knowledge sharing to maintain engineering best practices. Requirements: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Minimum 3 years of hands-on experience working with AI/ML models, with at least 1-2 years focused on LLMs and NLP applications. Proficiency in Python and popular AI frameworks/libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or OpenAI APIs. Experience with vector databases like FAISS, Pinecone, or Weaviate for retrieval tasks. Strong knowledge of LLM fine-tuning, embeddings, tokenization, and transformer-based architectures. Solid understanding of data preprocessing, text generation, and evaluation metrics in NLP tasks. Familiarity with deployment tools and cloud platforms such as AWS, Azure, or GCP. Ability to work in a collaborative, agile environment and contribute to cross-functional AI initiatives. Preferred Skills: Experience working with RAG pipelines, multi-turn conversations, or enterprise search. Background in knowledge graphs, ontologies, or semantic search. Exposure to MLOps practices and automated model deployment pipelines. Publications or contributions in the field of AI/NLP are a plus.

About PhonePe Group: PhonePe is India’s leading digital payments company with 50 crore (500 Million) registered users and 3.7 crore (37 Million) merchants covering over 99% of the postal codes across India. On the back of its leadership in digital payments, PhonePe has expanded into financial services (Insurance, Mutual Funds, Stock Broking, and Lending) as well as adjacent tech-enabled businesses such as Pincode for hyperlocal shopping and Indus App Store which is India's first localized App Store. The PhonePe Group is a portfolio of businesses aligned with the company's vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us! Job Description We are seeking a motivated and skilled Data Scientist with 3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in machine learning, with a focus on implementing algorithms at scale. Additionally, knowledge of computer vision and natural language processing will be ideal Key Responsibilities: Develop and implement machine learning models, offline batch models as well as real time online and edge compute models Analyze complex datasets and extract meaningful insights to drive business decisions Collaborate with cross-functional teams to identify and solve business problems using data-driven approaches Communicate findings and recommendations to stakeholders effectively Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field 3+ years of experience in a Data Scientist role Strong proficiency in Python and SQL Solid understanding of machine learning algorithms and statistical modeling techniques Knowledge of Natural Language Processing (NLP) and Computer Vision (CV) concepts and algorithms Hands-on experience implementing and deploying machine learning algorithms Experience with data visualization tools and techniques Strong analytical and problem-solving skills Excellent communication skills, both written and verbal Preferred Qualifications: Experience with PySpark and other big data processing frameworks Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) Technical Skills: Programming Languages: Python (required), SQL (required), Java (basic knowledge preferred) Machine Learning: Strong foundation in traditional ML algorithms, and a working knowledge of NLP and Computer Vision Big Data: Deep knowledge of PySpark Data Storage and Retrieval: Familiarity with databases/mlflow preferred Mathematics: Strong background in statistics, linear algebra, and probability theory Version Control: Git Soft Skills: Excellent communication skills to facilitate interactions with stakeholders Ability to explain complex technical concepts to non-technical audiences Strong problem-solving and analytical thinking Self-motivated and able to work independently as well as in a team environment Curiosity and eagerness to learn new technologies and methodologies We're looking for a motivated individual who is passionate about data science and eager to take on challenging tasks. If you thrive in a fast-paced environment and are excited about leveraging cutting-edge technologies in machine learning to solve real-world problems, we encourage you to apply! PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

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.

Description GlobalLogic has been engaged in exploring opportunities to implement ML/AL/GenAI-powered applications for multinational industrial conglomerate since 2023, aiming to enhance business efficiency. After conducting a Discovery phase and completing 3 pilot projects covering use cases of Customer Requirements, Tender Response and Project Design areas, GL proposes to enhance pilots with additional capabilities, identified and confirmed with the client’s experts throughout pilots development, taking the applications to the next MVP (Minimum Viable Product) stage. Requirements 3+ years of experience in machine learning and natural language processing. Proficiency in training and fine-tuning Large Language Models (LLMs). Experience with RAG architectures and vector databases like Pinecone. Bachelor’s degree in Computer Science, Engineering, or equivalent. Excellent problem-solving and analytical skills. Demonstrated ability to conduct experiments and improve model performance. Good command of English for effective communication with team members. Knowledge of Pytorch, Pinecone, LLM fine-tuning, RAG, and vector databases. Job responsibilities Train and fine-tune Large Language Models (LLMs) for various applications. Implement and optimize Retrieval-Augmented Generation (RAG) architectures. Work with vector databases like Pinecone to enhance data retrieval capabilities. Develop and apply data science and machine learning techniques. Collaborate with cross-functional teams to integrate LLMs into products. Stay updated with the latest advancements in LLM and machine learning technologies. Conduct experiments and analyze results to improve model 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.

Job Description About this Role: We are looking for a talented and motivated Software Engineer to join our dynamic team. In this role, you will design, develop, and maintain high-performance microservices and backend systems using the latest .NET Core technologies, with a strong emphasis on integrating AI tools to enhance functionality and streamline development. Your work will involve utilizing a range of technologies including MongoDB, Redis, RabbitMQ, and PostgreSQL About Kibo Commerce: KIBO is a composable digital commerce platform for B2C, D2C, and B2B organizations who want to simplify the complexity in their businesses and deliver modern customer experiences. KIBO is the only modular, modern commerce platform that supports experiences spanning B2B and B2C Commerce, Order Management, and Subscriptions. Companies like Ace Hardware, Zwilling, Jelly Belly, Nivel, and Honey Birdette trust Kibo to bring simplicity and sophistication to commerce operations and deliver experiences that drive value. KIBO's cutting-edge solution is MACH Alliance Certified and has been recognized by Forrester, Gartner, IDC, Internet Retailer, and TrustRadius. KIBO has been named a leader in The Forrester Wave™: Order Management Systems, Q1 2025 and in the IDC MarketScape report “Worldwide Enterprise Headless Digital Commerce Applications 2024 Vendor Assessment”. By joining KIBO, you will be part of a team of Kibonauts all over the world in a remote-friendly environment. Whether your job is to build, sell, or support KIBO’s commerce solutions, we tackle challenges together with the approach of trust, growth mindset, and customer obsession. If you’re seeking a unique challenge with amazing growth potential, then come work with us! What You'll Do: Design, develop, and maintain scalable microservices and backend applications using the latest .NET Core technologies. Integrate and utilize AI tools to enhance application functionality, automate tasks, and improve overall system performance. Develop and optimize data storage and retrieval solutions using MongoDB and PostgreSQL. Implement caching strategies using Redis to improve application performance. Design and implement asynchronous messaging patterns using RabbitMQ. Write clean, maintainable, and well-documented code following best practices. Collaborate with cross-functional teams to define, design, and deliver high-quality software solutions. Proactively identify and resolve performance bottlenecks and technical challenges. Conduct thorough code reviews and write comprehensive unit and integration tests. Stay up-to-date with the latest advancements in .NET, AI, and related technologies. Work independently and take ownership of assigned tasks and projects. Bonus: Contribute to front-end and Node.js projects as needed. Requirements What You'll Need: 5+ years of experience in .NET software development. Strong proficiency in the latest .NET Core technologies and C#. Solid understanding of microservices architecture and design principles. Experience with MongoDB, Redis, RabbitMQ, and PostgreSQL. Experience integrating GenAI into development processes, including tasks like code generation, automated testing, and data classification or summarization. Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes). Strong understanding of software development best practices, including design patterns and SOLID principles. Excellent problem-solving and debugging skills. Experience in unit testing and test-driven development (TDD) using testing frameworks like NUnit or xUnit. Experience with version control systems (Git). Ability to work independently and take initiative. Strong communication and collaboration skills. Bonus: Experience with Angular, React, ExtJS, and Node.js. Preferred Skills: Experience with cloud platforms (AWS, GCP, Azure). Familiarity with CI/CD pipelines. Experience with front-end frameworks like Angular, React, or ExtJS. KIBO PERKS Flexible schedule and hybrid work setting Paid company holidays and global volunteer holiday Generous health, wellness, benefits, and time away programs Commitment to individual growth and development and opportunity for internal mobility Passionate, high-achieving teammates excited to help you succeed and learn Company-sponsored events and other activities At Kibo we celebrate and support all differences. Kibo is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital, disability, and veteran status.

We know food's importance in people's lives—the power it has to bring people, families, and communities together. We aim to bring enjoyment to people’s lives through great-tasting food that reflects our values. BRIEF SUMMARY OF POSITION AND TEAM We are seeking a highly skilled and innovative AI Engineer to lead the design, development, and deployment of advanced Agentic AI and Generative AI (Gen AI) systems. This role is ideal for individuals passionate about building intelligent agents capable of autonomous decision-making and generative models that produce novel content across various modalities, including text, image, audio, and others. The successful candidate will collaborate with cross-functional teams to create next-generation AI solutions that drive business value and technological advancement. Key Responsibilities Agentic AI Development: Design, implement, and optimize autonomous AI agents capable of reasoning, planning, and executing complex tasks with minimal human intervention. Develop frameworks for multi-agent collaboration, negotiation, and coordination. Integrate agentic systems with real-world applications, ensuring robustness, safety, and ethical alignment. Generative AI ( Gen AI ): Research, prototype, and deploy state-of-the-art generative models for content creation in text, image, audio, and video. Fine-tune and customize large language models (LLMs) and other generative architectures to meet specific business and user needs. Implement prompt engineering, retrieval-augmented generation, and evaluation pipelines for Gen AI solutions. Collaboration & Integration: Work closely with product managers, data scientists, and software engineers to integrate AI solutions into products and platforms. Contribute to the development of scalable, production-ready AI systems, including APIs and user interfaces. Research & Innovation: Evaluate emerging tools, platforms, and methodologies to enhance the AI engineering toolkit. Governance & Ethics: Ensure all AI systems adhere to ethical standards, data privacy regulations, and responsible AI practices. Participate in safety audits, bias assessments, and continuous monitoring of deployed models. Qualifications University degree in Computer Science (or related field) or equivalent work experience. At least five years of experience working with programming languages such as Python or equivalent. 3+ years of experience in AI engineering, with demonstrable expertise in agentic systems and generative models. Hands-on experience with prompt engineering, fine-tuning LLMs, or deploying Gen AI in production. Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, etc. Strong understanding of reinforcement learning, multi-agent systems, and large language models. Experience with cloud-based AI services (e.g., AWS, Azure, GCP) and MLOps best practices. Excellent problem-solving, communication, and collaboration skills. Self-directed, independent, and comfortable in fast-paced, ambiguous, and often multi-directional work environments.

Job Responsibilities JOB DESCRIPTION Responsible for maintaining cGMP and Good laboratory practices. Responsible for maintaining General cleanliness of laboratory. Responsible for monitoring of exhibit batch analysis with quality control person. Responsible for preparation of instrument methods, methods sets and review of sample sets processing methods, generated in Empower software. Responsible for Analytical method transfer, method verification and method validation. Involve in Raw material, Finished product and Packaging material analysis. Responsible for preparation and review of protocols for method transfer, method verification and method validation. Responsible for preparation and review of reports for method transfer, method verification and method validation. Review and maintain of reconciliation of electronic data generated in quality control laboratory during analytical method validation, verification, technology transfer, development, feasibility study. Responsible for review of any laboratory incident occurred during method transfer, method verification and method validation activity and prepare the laboratory incident report for the same. Responsible for archival and retrieval of Analytical development documents from QA department. Responsible for overall compliance of Analytical Documents. Records generated in quality control laboratory. Responsible for providing relevant documents for regulatory filings. Responsible to take part in internal & external audit. Responsible for procurement of columns, chemicals, reference standards, impurity standards for analytical method transfer, method verification and method validation activity. Responsible for initiation of change controls, Deviations/Incidents. Responsible for review of specification and STP. Responsible for timely response to regulatory queries. Qualifications Qualification- M. Sc, M. Pharmacy, B Pharmacy

Years of exp :10 - 15 yrs Location : Noida Join us as Cloud Engineer Lead at Dailoqa , where you will be responsible for operationalizing cutting-edge machine learning and generative AI solutions, ensuring scalable, secure, and efficient deployment across infrastructure. You will work closely with data scientists, ML engineers, and business stakeholders to build and maintain robust MLOps pipelines, enabling rapid experimentation and reliable production implementation of AI models, including LLMs and real-time analytics systems. To be successful as Cloud Engineer you should have experience with: Cloud sourcing, networks, VMs, performance, scaling, availability, storage, security, access management Deep expertise in one or more cloud platforms: AWS, Azure, GCP Strong experience in containerization and orchestration (Docker, Kubernetes, Helm) Familiarity with CI/CD tools: GitHub Actions, Jenkins, Azure DevOps, ArgoCD, etc. Proficiency in scripting languages (Python, Bash, PowerShell) Knowledge of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML Strong understanding of DevOps principles applied to ML workflows. Key Responsibilities may include: Design and implement scalable, cost-optimized, and secure infrastructure for AI-driven platforms. Implement infrastructure as code using tools like Terraform, ARM, or Cloud Formation. Automate infrastructure provisioning, CI/CD pipelines, and model deployment workflows. Ensure version control, repeatability, and compliance across all infrastructure components. Set up monitoring, logging, and alerting frameworks using tools like Prometheus, Grafana, ELK, or Azure Monitor. Optimize performance and resource utilization of AI workloads including GPU-based training/inference Experience with Snowflake, Databricks for collaborative ML development and scalable data processing. Understanding model interpretability, responsible AI, and governance. Contributions to open-source MLOps tools or communities. Strong leadership, communication, and cross-functional collaboration skills. Knowledge of data privacy, model governance, and regulatory compliance in AI systems. Exposure to LangChain, Vector DBs (e. g. , FAISS, Pinecone), and retrieval-augmented generation (RAG) pipelines.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The challenge Search, Discovery, and Content AI (SDC) is a cornerstone of Adobe’s ecosystem, enabling creative professionals and everyday users to access, discover, and demonstrate a wide array of digital assets and creative content, including images, videos, documents, vector graphics and more. With increasing demand for intuitive search, contextual discovery, and seamless content interactions across Adobe products like Express, Lightroom, Adobe Stock, SDC is evolving into a generative AI powerhouse. This team develops innovative solutions for intent understanding, personalized recommendations, and action orchestration to transform how users interact with content. Working with extensive datasets and pioneering technologies, you will help redefine the discovery experience and drive user success. The Opportunity How can you participate? We’re looking for a top-notch search engineering leadership in the area of information retrieval, search indexing, Elasticsearch, Lucene, algorithms, relevance & ranking, data mining, machine learning, data analysis & metrics, query processing, multi-lingual search, and search UX. This is an opportunity to make a huge impact in a fast-paced, startup-like environment in a great company. Join us! Responsibilities Work on Big data, data ingestion, search indexing, Hadoop, distributed systems, deep learning, recommendations, and performance by developing a Search platform at Adobe that would power Adobe product lines such as Express, Creative Cloud, Acrobat, Marketing Cloud, Stock. Apply machine learning to improve the ranking and recommendations as part of search work-flow. Build platform to index billions of images, documents and other assets in real-time. Maintain and optimize search engine, identify new ideas to evolve it, develop new features and benchmark possible solutions, in terms of search relevance, recommendations but also user experience, performance and feasibility. Build these products using technologies such as Elastic Search, REST web services, SQS/Kafka, Machine Learning, and more. What You Need To Succeed B. Tech or M. Tech in Computer Science Minimum 5-10 years of relevant experience in industry Experience in engineering SaaS based software development Hands on experience with Java and Python. Hands-on experience in Big data processing, Hadoop and Spark. Experience in Web services and REST. Experience in RDBMS & NOSQL database. Experience in AWS resources. Experience with Elastic Search/Solr. Experience with search engine technology, and inverted indexes Hands-on experience in building indexing pipelines Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more about our vision here. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

We are looking for an experienced AI Engineer to join our team. The ideal candidate will have a strong background in designing, deploying, and maintaining advanced AI/ML models with expertise in Natural Language Processing (NLP), Computer Vision, and architectures like Transformers and Diffusion Models. You will play a key role in developing AI-powered solutions, optimizing performance, and deploying and managing models in production environments. Key Responsibilities AI Model Development and Optimization: Design, train, and fine-tune AI models for NLP, Computer Vision, and other domains using frameworks like TensorFlow and PyTorch. Work on advanced architectures, including Transformer-based models (e.g., BERT, GPT, T5) for NLP tasks and CNN-based models (e.g., YOLO, VGG, ResNet) for Computer Vision applications. Utilize techniques like PEFT (Parameter-Efficient Fine-Tuning) and SFT (Supervised Fine-Tuning) to optimize models for specific tasks. Build and train RLHF (Reinforcement Learning with Human Feedback) and RL-based models to align AI behavior with real-world objectives., Explore multimodal AI solutions combining text, vision, and audio using generative deep learning architectures. Natural Language Processing (NLP): Develop and deploy NLP solutions, including language models, text generation, sentiment analysis, and text-to-speech systems. Leverage advanced Transformer architectures (e.g., BERT, GPT, T5) for NLP tasks. AI Model Deployment and Frameworks: Deploy AI models using frameworks like VLLM, Docker, and MLFlow in production-grade environments. Create robust data pipelines for training, testing, and inference workflows. Implement CI/CD pipelines for seamless integration and deployment of AI solutions. Production Environment Management: Deploy, monitor, and manage AI models in production, ensuring performance, reliability, and scalability. Set up monitoring systems using Prometheus to track metrics like latency, throughput, and model drift. Data Engineering and Pipelines: Design and implement efficient data pipelines for preprocessing, cleaning, and transformation of large datasets. Integrate with cloud-based data storage and retrieval systems for seamless AI workflows. Performance Monitoring and Optimization: Optimize AI model performance through hyperparameter tuning and algorithmic improvements. Monitor performance using tools like Prometheus, tracking key metrics (e.g., latency, accuracy, model drift, error rates etc.) Solution Design and Architecture: Collaborate with cross-functional teams to understand business requirements and translate them into scalable, efficient AI/ML solutions. Design end-to-end AI systems, including data pipelines, model training workflows, and deployment architectures, ensuring alignment with business objectives and technical constraints. Conduct feasibility studies and proof-of-concepts (PoCs) for emerging technologies to evaluate their applicability to specific use cases. Stakeholder Engagement: Act as the technical point of contact for AI/ML projects, managing expectations and aligning deliverables with timelines. Participate in workshops, demos, and client discussions to showcase AI capabilities and align solutions with client needs. Experience: 2.5 - 5 years of experience Salary : 5-11 LPA Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,100,000.00 per year Schedule: Day shift Work Location: In person

Key Responsibilities Manage and maintain all project documentation including drawings, specifications, RFIs, submittals, and correspondence. Ensure proper document control procedures are followed using EDMS (e.g., Aconex, Procore). Track document revisions and ensure only the latest versions are distributed to relevant stakeholders. Coordinate with engineering, procurement, and site teams to ensure timely submission and retrieval of documents. Archive and retrieve documents as required for audits or project close-out. Prepare document transmittals, logs, and reports for internal and external use. Maintain confidentiality and security of sensitive project information. Job Type: Full-time Pay: ₹15,000.00 - ₹20,000.00 per month Schedule: Day shift Ability to commute/relocate: Aluva Town Bus Stand, Aluva, Kerala: Reliably commute or planning to relocate before starting work (Required) Education: Diploma (Required) Experience: Document management: 3 years (Required) Location: Aluva Town Bus Stand, Aluva, Kerala (Required) Work Location: In person

About the Role: Grade Level (for internal use): 13 The Role: Foreseer AI –Director The Team: The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications: BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 15+ Years. 10+ years hands on experience in AI/ML, Data Science or Technology Strategy 5+ years of experience in leadership roles. Strong understanding of AI technologies (e.g. Genrative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Kubernetes, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice to Have Skills Distributed systems programming. Hands on experience in Java and Front End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 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: 315907 Posted On: 2025-06-23 Location: Gurgaon, Haryana, India

🚀 We’re Hiring: AI/ML Architect 📍 Location: [Location] 💼 Experience: 5+ Years in AI/ML Development 📧 Contact: Monika.r@doodleblue.com, Ajay.dev@doodleblue.com Are you passionate about building intelligent systems that solve real-world problems using AI? We’re looking for a visionary AI/ML Architect who can design and deliver cutting-edge solutions using the latest in LLMs, RAG systems, and autonomous AI agents. 🔍 Key Responsibilities • Architect end-to-end AI/ML solutions tailored to complex business challenges. • Build Retrieval-Augmented Generation (RAG) pipelines and integrate advanced LLMs like GPT-4, PaLM 2, and LLaMA. • Develop and deploy autonomous AI agents with intelligent task execution capabilities. • Use Langchain to orchestrate LLM workflows, and optimize performance with vector databases like FAISS, Pinecone, or Weaviate. • Ensure secure, scalable deployments on AWS, Azure, or GCP with robust CI/CD integration. • Implement guardrails for data privacy, security, bias mitigation, and compliance with GDPR/PCI DSS. • Monitor and optimize models and pipelines for high performance and reliability. 🛠 Required Skills • 5+ years in AI/ML development, with 3+ years in architecture roles • Hands-on experience with RAG systems, LLMs, and Langchain • Strong coding in Python, with frameworks like TensorFlow or PyTorch • Proficiency in cloud environments (AWS, Azure, GCP) • Familiarity with MLOps tools and API development

About Workato Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility. Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an "enterprise startup to bet your career on" Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an experienced and exceptional Senior AI / Machine Learning Engineer to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. You will also be responsible to: Build conversational AI interfaces that handle multi-turn customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary. Design and implement advanced AI/ML systems with a focus on LLMs, AI Agents, and retrieval-augmented generation (RAG) architectures. Build production-grade AI pipelines for data processing, model training, fine-tuning, and serving at scale. Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, and conversation outcomes to improve model performance over time. Create analytics dashboards and reporting tools to track automation effectiveness, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Lead technical initiatives for AI system integration into existing products and services. Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models. Requirements Qualifications / Experience / Technical Skills Bachelor's degree in Computer Science, or a related field, or equivalent practical experience. 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java). Demonstrated experience building production conversational AI systems including chatbots, virtual assistants, and automated support agents using LLMs (OpenAI, Anthropic, open-source models). Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, and conversation flow management. Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling. Strong background in customer support metrics and KPIs including CSAT, first contact resolution, average handle time, and containment rate optimization. Experience with sentiment analysis and emotion detection for escalation triggers and customer satisfaction monitoring. Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions. Proficiency with contact center platforms (Zendesk, Salesforce Service Cloud, Genesys, or similar) and their API integrations. Experience implementing real-time agent assist systems that provide suggestions, knowledge articles, and response templates during live interactions. Familiarity with compliance and security requirements for handling sensitive customer data in automated systems (PCI, HIPAA, GDPR). Experience with A/B testing and experimentation frameworks for optimizing conversation flows and response strategies. Soft Skills / Personal Characteristics Strong communication abilities to explain technical concepts Collaborative mindset for cross-functional team work Detail-oriented with strong focus on quality Self-motivated and able to work independently Passion for solving complex search problems (REQ ID: 2158)

About the Role: Grade Level (for internal use): 11 The Team Our team is on an exciting journey to build Kensho Spark Assist, S&P Global’s internal conversational AI platform, designed to support colleagues across all departments. We work collaboratively with internal and external partners, using data-driven decisions and continuous improvement to create value. Forward-thinking in nature, we leverage modern generative AI models and cloud services. Our focus is on the creation of scalable systems over customized solutions, all while prioritizing the needs of our stakeholders. What You Stand to Gain: Build a rewarding career with a leading global company in an international team. Develop relevant solutions that enhance efficiency and drive innovation across S&P Global's diverse departments. Enhance your skills by engaging with enterprise-level products and cutting-edge genAI technologies. Work alongside experts in AI and technology, gaining insights and experience that will propel your career forward. Responsibilities: Develop clean, high-quality Python code that is easy to read and maintain. Solve complex problems by analyzing and isolating issues efficiently. Champion best practices in coding and serve as a subject matter expert. Design and implement solutions to support key business needs. Engineer components and API functions using Python. Produce system design documents and lead technical walkthroughs. Collaborate effectively with both technical and non-technical partners to achieve project goals. Continuously improve the architecture to enhance system performance and scalability. Provide technical guidance and mentorship to team members, fostering a culture of continuous improvement. Basic Qualifications: 8+ years of experience in designing and building solutions using distributed computing. Proven experience in implementing and maintaining web applications in large-scale environments. Experience working with business stakeholders and users, providing research direction and solution design. Experience with CI/CD pipelines to automate the deployment and testing of software. Proficient programming skills in high-level languages, particularly Python. Solid knowledge of cloud platforms such as Azure and AWS. Experience with SQL and NoSQL such as Azure Cosmos DB and PostgreSQL Ability to quickly define and prototype solutions with continual iteration within challenging timelines. Strong communication and documentation skills for both technical and non-technical audiences. Preferred Qualifications: Generative AI Expertise : Deep understanding of generative AI models, including experience with large language models (LLMs) such as GPT, BERT, and Transformer architectures. Embedding Techniques : Proficiency in creating and utilizing embeddings for various applications, including semantic search and recommendation systems. Machine Learning and NLP : Experience with machine learning models and natural language processing techniques to enhance AI-driven solutions. Vector Search and Retrieval: Familiarity with vector search techniques and embedding models for efficient data retrieval and analysis. Cloud Platforms : Knowledge of cloud services such as AWS, Azure, or Google Cloud for deploying and managing AI solutions. Collaboration and Leadership: Ability to lead, train, and mentor team members effectively. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 317163 Posted On: 2025-06-23 Location: Hyderabad, Telangana, India

Job Responsibilities: Responsible for maintaining cGMP and Good laboratory practices. Responsible for maintaining General cleanliness of laboratory. Responsible for monitoring of exhibit batch analysis with quality control person. Responsible for preparation of instrument methods, methods sets and review of sample sets processing methods, generated in Empower software. Responsible for Analytical method transfer, method verification and method validation. Involve in Raw material, Finished product and Packaging material analysis. Responsible for preparation and review of protocols for method transfer, method verification and method validation. Responsible for preparation and review of reports for method transfer, method verification and method validation. Review and maintain of reconciliation of electronic data generated in quality control laboratory during analytical method validation, verification, technology transfer, development, feasibility study. Responsible for review of any laboratory incident occurred during method transfer, method verification and method validation activity and prepare the laboratory incident report for the same. Responsible for archival and retrieval of Analytical development documents from QA department. Responsible for overall compliance of Analytical Documents. Records generated in quality control laboratory. Responsible for providing relevant documents for regulatory filings. Responsible to take part in internal & external audit. Responsible for procurement of columns, chemicals, reference standards, impurity standards for analytical method transfer, method verification and method validation activity. Responsible for initiation of change controls, Deviations/Incidents. Responsible for review of specification and STP. Responsible for timely response to regulatory queries. Qualification- M. Sc, M. Pharmacy, B Pharmacy

Job :- Diploma Computer science Location: Cherlapally, Hyderabad Department: IT / Administration Reports To: IT Supervisor / Operations Manager Position Summary: We are looking for a diligent and proficient individual with a Diploma in Computer Applications (DCA) to support various computer and data entry-related tasks. The candidate will be responsible for ensuring smooth daily operations of computer-related activities, maintaining data accuracy, and providing basic technical support within the organization. Key Responsibilities: Perform data entry and maintain digital records accurately. Operate and manage routine computer-based tasks such as word processing , spreadsheets , and presentations . Assist in database maintenance , data retrieval, and preparation of reports. Provide basic technical support for staff and troubleshoot common computer issues. Maintain files , documents , and digital archives . Operate office equipment such as scanners , printers , and copiers . Support the team with other general administrative and clerical duties as required. Maintain confidentiality and adhere to data security policies . Required Qualifications: Diploma in Computer Applications (DCA) or relevant certification. Strong working knowledge of MS Office (Word, Excel, PowerPoint) and basic internet usage. Good typing speed and proficiency with computer systems. Ability to learn new applications and adapt to changes quickly. Strong attention to accuracy , details , and data integrity . Preferred Skills: Familiarity with database software and ERP/CRM platforms. Understanding of basic networking and computer hardware troubleshooting. Good communication and organizational skills . Ability to work effectively both independently and as part of a team . Experience: Fresh Diploma holders are welcome to apply. 0–1 year of experience in a similar role will be an added advantage. Why Join Us? Opportunity to build a career in the IT/Administration field. Friendly and collaborative work environment. Training and skill enhancement opportunities. Cell No:- 8897544220 Job Types: Full-time, Permanent Pay: ₹240,000.00 - ₹300,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Commission pay Performance bonus Quarterly bonus Experience: total work: 1 year (Preferred) Work Location: In person Expected Start Date: 04/07/2025

About the Role: Grade Level (for internal use): 13 The Role: Foreseer AI –Director The Team: The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications: BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 15+ Years. 10+ years hands on experience in AI/ML, Data Science or Technology Strategy 5+ years of experience in leadership roles. Strong understanding of AI technologies (e.g. Genrative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Kubernetes, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice to Have Skills Distributed systems programming. Hands on experience in Java and Front End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 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: 315907 Posted On: 2025-06-23 Location: Gurgaon, Haryana, India

Title: Sr. Executive, Clinical Data Management Date: Jun 23, 2025 Location: Gurgaon - R&D Company: Sun Pharmaceutical Industries Ltd Job Summary The incumbent is responsible for effectively supervising junior Data Management staff as well as the quality of work performed for all studies. Wider responsibilities include in-depth understanding of stakeholder expectations and project deliverables, providing and maintaining vendor relationships on behalf of the company and for the department. The Data Project Lead will continue to perform as a Lead Data Manager on multiple global/local studies and will act as a line supervisor. Area Of Responsibility 1. Employee is accountable for the quality of work performed. 2. Independently perform all work to meet DM Management and stakeholders’ expectations. 3. Assists and coordinates the activities of junior Data Management Staff to provide support to operational milestones and resource planning across all direct reports’ projects to meet high quality data delivery. 4. Responsible for the overall consistency and efficiency across all projects assigned as well as managed by the direct reporting staff. Supports and executes, all activities centered on development and maintenance of Data Management Plan (DMP), eCRF design, data collection, data retrieval, coding, and query management. 5. Accountable for the performance of effective key performance metrics management for all assigned and all direct reports’ projects. 6. Manages junior DM staff and supports projects undertaken by the direct reporting staff, including but not limited to administrative oversight for CV/JD/SOP completion and Timesheet/Time-offs submission and approval in a timely manner. Ensures adherence to corporate procedures and policies. Ensures all project related agreements are comprehensive, accurate and complete. 7. Demonstrates corporate core competencies at the management level; exhibits corporate values. 8. Reports on quality and performance metrics, including timelines, to DM Management. Participates in the organization and presentation of in-house and external training courses. 9. Works in strict adherence to SOPs and other applicable standards in compliance with Sun Procedural Documents, ICH-GCP and local regulations. 10. Reviews, freezes and locks data in accordance with DM control documents for accuracy, completeness, consistency, and validity, generate and submitted queries as necessary to investigation sites, as well as the project team at large. 11. Produces and/or coordinates reports and listings for team reviews and DSMBs (Data Safety Monitoring Boards). 12. Codes medical terminology, such as Adverse Events, Medical History, and Concomitant Medications, as appropriate and if required. 13. Develops and coordinates to finalize third party vendor Data Transfer Plans (DTP) for electronic database load to and from the company. 14. Performs ongoing reconciliation, including but not limited to SAE/AE, Electronic Data Loads and third party data such as central lab, IRT, against the clinical database and tracks issues to resolution. 15. Following CDISC conventions, oversee and perform EDC build activities including database design specifications; eCRF design and annotation, generation of data edit checks and data validations and data transfer specifications

Job Title: SQL Developer Location: Mohali Job Type: Full-Time Experience: 6 months- 2 years Job Summary: We are looking for an experienced SQL Developer to design, develop, and manage databases while ensuring high performance and security. The ideal candidate will have expertise in writing complex queries, stored procedures, triggers, views, and functions to support various business applications. Key Responsibilities: Develop, optimize, and maintain complex SQL queries for data retrieval and reporting. Design and manage stored procedures, triggers, functions, views, and indexes to enhance database efficiency. Work closely with software developers and analysts to ensure seamless database integration. Optimize database performance and troubleshoot issues related to query execution and indexing . Maintain data integrity and security through proper indexing and constraints. Basic knowledge of C#. Job Type: Full-time Pay: ₹10,000.00 - ₹30,000.00 per year Schedule: Day shift Supplemental Pay: Joining bonus Overtime pay Performance bonus Yearly bonus Work Location: In person

take accurate shorthand dictation during meetings, conferences, or from verbal instructions. Transcribe and type dictated material into clear, grammatically correct documents using a computer or typewriter. Prepare reports, letters, minutes of meetings, and other official documentation. Maintain confidential records, files, and documents in an organized manner. Handle routine clerical and administrative tasks such as photocopying, filing, and managing correspondence. Review and proofread documents to ensure error-free output. Coordinate with various departments for the submission and retrieval of required information or documentation. Ensure all data and information handled remains confidential and secure. Job Type: Full-time Pay: ₹11,961.17 - ₹20,000.00 per month Benefits: Health insurance Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person