227 Pytorch Jobs in Uttar Pradesh - Page 2

All Positions Lead - Data Science Noida | 5-7 years Apply Now Welcome to BUSINESSNEXT, where we believe in maximizing your true potential while doing something purposeful. Our commitment to innovation and forward-thinking is reflected in everything we do, and we're looking for like-minded individuals to join our team. If you're looking for a rewarding career in a company that values your creativity, we invite you to explore this opportunity. The Opportunity We are looking for a highly skilled and technically proficient AI Lead with 5-7 years of experience to lead our AI initiatives, with a specific focus on Generative AI, Natural Language Processing (NLP), and Machine Learning (ML). The ideal candidate should have hands-on experience in delivering and commercializing AI solutions, with deep expertise in Generative AI technologies and frameworks. An understanding of computer vision is a plus. This role requires both technical depth and leadership skills to drive AI innovation and deploy production-grade AI models. Objectives Aligned To This Role Fostering inventive concepts and effectively implementing strategic initiatives to attain significant outcomes in the realm of product development. Join our team of Engineers and be a part of our reforming BusinessNext Platform. Within this realm of cutting-edge technology, you'll play a pivotal role in shaping the future of digital innovation on a global scale. What would you do? Lead AI projects focused on Generative AI, NLP, and ML, ensuring successful deployment and commercialization of AI-driven solutions. Provide deep technical guidance and hands-on development expertise, specifically in Generative AI technologies (e.g., GANs, VAEs, Transformers). Design, build, and scale AI models across various domains, ensuring they meet business objectives and performance metrics. Collaborate with data scientists, machine learning engineers, and product teams to integrate AI models into production environments. Manage the end-to-end lifecycle of AI projects, from ideation, research, prototyping, and development to final product delivery and commercialisation. Stay current with the latest advancements in Generative AI and NLP, and proactively apply emerging trends and technologies to ongoing projects. Lead and mentor a team of AI engineers, fostering innovation and a results-driven approach. Drive the development of robust AI pipelines and solutions that are scalable, efficient, and aligned with business goals. Present technical and non-technical stakeholders with project progress, key findings, and commercial strategies. Ensure AI models are developed with strong considerations for performance, accuracy, scalability, and ethical AI practices. Required Skills 5-7 years of experience in AI/ML, with in-depth expertise in Generative AI and NLP technologies. Hands-on experience with Generative AI techniques such as GANs, VAEs, diffusion models, large language models (LLMs), Transformers, Agentic frameworks Proven track record of successfully commercialising multiple AI projects. Strong knowledge of ML algorithms, statistical models, and deep learning techniques. Experience in deploying AI models into production at scale, using cloud platforms like AWS, Azure, or GCP. Proficiency in AI/ML frameworks and tools such as TensorFlow, PyTorch, Keras, and Hugging Face. Good understanding of Computer Vision is a plus. Strong leadership and project management skills with the ability to manage multiple projects simultaneously. Ability to mentor and guide a technical team while also being hands-on with AI development tasks. Excellent problem-solving skills and a business-focused mindset for AI solution delivery. Educational Qualifications Engineering/ equivalent technical qualification from a reputed college/ university. Good understanding of current technology trends along with ultra-scalable systems. Proficient in effectively communicating with internal stakeholders across various domains, including technology and business. Meet The Team Connect with the team that loves the challenge of solving business problems, just like you! Ravi Kumar SVP - Datanext Why BusinessNext? WIIFM, you ask? 😊 Well, lots of real, get-your-hands-dirty gigs, building cool products for the BFSI industry that is rapidly digitizing. Expect a challenging work experience that you’re unlikely to get in a Services Company. Come, #Unlimit your true Potential today to be #UpForTomorrow We exist for growth and development: We’re a company that is built on a Coaching Culture, committed to supporting employees to reach their full potential, helping them achieve their professional goals while contributing to the Moonshot. We thrive on clear, lucid Objectives & Key Results (OKRs). A trusting, transparent relationship where an Individual’s OKRs, lock into the department’s which, in turn, lock into the Company’s! We thrive by being proactive: Our Brand tagline "Up For Tomorrow" implies being proactive and forward-thinking, and our Culture Philosophy of "Unlimit" speaks of having no limits on what one can achieve. You can expect a culture that will constantly encourage you to take initiative and be proactive in your career, taking charge of your own professional development. Caring for People is our Business, and a Values-led Culture is our Profit. We just happen to use tech in the process. We’re a bunch of friends with Benefits: Coaching Sessions, Training and development opportunities, flexible working hours, and remote work options are just some of the perks of this Culture. Designed around you the employee so you can take advantage of opportunities to grow and develop and be ready for the future. Some quick facts Ours is an inspiring Garage-to-Unicorn Product story that has been scripted by gifted technologists who’re just like you. We are among the fastest growing SaaS companies in India, especially in the BFSI industry, with a global footprint, serving over 1 million+ users across 50+ countries Our clientele is based out in Asia Pac, USA, Middle East, South Africa, Australia, etc. Our product engages millions of global users, and we keep adding millions every month We are on a mission We sure are - on an 8-year Moon-shot Mission to be specific. We want to accelerate the World’s transition to intuitive, digital, and joyful financial experiences and become a Decacorn in the process. Does this excite you, then join us! 😊 Apply Now

The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. We are looking for a Data Scientist with industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. Healthcare background is a plus. Passion for travel can help you score some brownie points. THE THINGS YOU'LL BE DOING ▶ Design scalable solutions for real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance. ▶ Build intelligent systems to capture and model the vast amount of behavioral data to enrich the content understanding with behavioral information ▶ Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. ▶ Define technical architecture to productize Innovaccer's machine-learning algorithms and take them to market with partnerships with different organizations ▶ Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows. ▶ Work with customers and BI experts to build out reports and dashboards that are most useful to customers ▶ Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle. ▶ Define and execute on the roadmap Requirements ▶ Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred) ▶ 2+ years of experience in Data Science (healthcare experience will be a plus) ▶ Strong written and spoken communication skills ▶ Strong hands-on experience in SQL and Python (Pandas, Scikit-learn) ▶ Experience working in classical ML techniques - XGboost, Clustering, Feature Engineering ▶ Experience in at least 1 Deep Learning frameworks like Pytorch/Tensorflow and and using LLMs in GenAI workflows. ▶ Good to have - knowledge of Sagemaker/Databricks ▶ Experience of containerizing models with Docker, Git, APIs, etc ▶ Ability to work with and influence multiple stakeholders and deliver solutions in a given time frame Benefits Here's What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure, extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions. We are looking for a Data Scientist with industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. Healthcare background is a plus. Passion for travel can help you score some brownie points. THE THINGS YOU'LL BE DOING ▶ Design scalable solutions for real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance. ▶ Build intelligent systems to capture and model the vast amount of behavioral data to enrich the content understanding with behavioral information ▶ Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. ▶ Define technical architecture to productize Innovaccer's machine-learning algorithms and take them to market with partnerships with different organizations ▶ Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows. ▶ Work with customers and BI experts to build out reports and dashboards that are most useful to customers ▶ Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle. ▶ Define and execute on the roadmap Requirements ▶ Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred) ▶ 2+ years of experience in Data Science (healthcare experience will be a plus) ▶ Strong written and spoken communication skills ▶ Strong hands-on experience in SQL and Python (Pandas, Scikit-learn) ▶ Experience working in classical ML techniques - XGboost, Clustering, Feature Engineering ▶ Experience in at least 1 Deep Learning frameworks like Pytorch/Tensorflow and and using LLMs in GenAI workflows. ▶ Good to have - knowledge of Sagemaker/Databricks ▶ Experience of containerizing models with Docker, Git, APIs, etc ▶ Ability to work with and influence multiple stakeholders and deliver solutions in a given time frame Benefits Here's What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure, extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

Job Title: AI Engineer Company: Seceon Experience: 0-3 Years Location: Pan India Employment Type: Full-time About Seceon At Seceon , we are redefining cybersecurity with innovative AI-powered threat detection and response solutions. Our mission is to enable organizations to proactively secure their digital infrastructure through intelligent automation, real-time analytics, and machine learning. Join our growing team to work on cutting-edge technologies that protect businesses from evolving cyber threats. Role Overview We are looking for a skilled AI Engineer with 2+ years of experience to join our dynamic R&D team. The ideal candidate will be responsible for designing, developing, and implementing AI/ML models that enhance our cybersecurity products and services. This role offers the opportunity to work on real-world problems in anomaly detection, behavioral analytics, and threat intelligence. Key Responsibilities Design and develop AI/ML models for threat detection, anomaly detection, and behavior analysis. Collaborate with cybersecurity experts to define intelligent use cases for security automation. Work with large datasets to train, validate, and deploy machine learning models in production. Optimize model performance and ensure scalability across platforms. Integrate AI models with Seceon’s platform for real-time threat analysis and decision making. Stay updated with the latest research and advancements in AI, machine learning, and cybersecurity. Required Skills and Qualifications Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field. 0-3 years of hands-on experience in machine learning, deep learning, or artificial intelligence. Proficiency in Python, with experience in ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, etc. Strong understanding of algorithms, statistics, and data modeling. Experience with data preprocessing, feature engineering, and model evaluation. Familiarity with cybersecurity concepts and data (network logs, threat intelligence, SIEM data) is a strong plus.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers. Primary Responsibilities Assist in developing and implementing machine learning models for healthcare applications Work with structured and unstructured data to build predictive and analytical models Collaborate with cross-functional teams including data engineers, product managers, and domain experts Support the development and maintenance of data pipelines for model training and inference Contribute to the deployment and monitoring of ML models in production environments Apply standard ML and NLP techniques such as classification, entity recognition, and text summarization Use tools and frameworks like TensorFlow, PyTorch, Scikit-learn, and Hugging Face for model development Write clean, efficient code in Python and use version control tools like Git Document model development processes and results clearly for both technical and non-technical stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field 2+ years of experience in data science, machine learning, or analytics Hands-on experience with ML and NLP techniques such as supervised learning, deep learning, and text classification Proficiency in Python and familiarity with libraries like Pandas, NumPy, Scikit-learn, and TensorFlow or PyTorch Familiarity with data processing tools such as PySpark or SQL Proven solid problem-solving skills and ability to work in a collaborative environment Preferred Qualifications Experience working with cloud platforms (e.g., AWS, Azure, or GCP) Understanding of APIs and basic web frameworks like Flask or FastAPI At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #njp #SStech #SSF&A

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies effectively into existing systems and workflows. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing sessions to enhance team capabilities. - Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Good To Have Skills: Experience with cloud-based AI services. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with natural language processing techniques. - Experience in developing and deploying chatbots and conversational agents. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Noida office. - A 15 years full time education is required. 15 years full time education

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 Opportunity Develop ML models, platforms, and services for Adobe Express as a Machine Learning Engineer. About The Team The AI Foundation Team at Adobe Express aims to develop a groundbreaking AI stack using internal and external technologies to improve feature speed and quality. Develop ML models and services, collaborate with teams, improve user experience at Adobe Express. What You'll Do 12+ Years of experience in the field Research, design, and implement advanced ML models and pipelines for training and inference at scale, including techniques in computer vision, NLP, deep learning, and generative AI. Integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows, enabling rich, context-aware content generation and dynamic user experiences. Collaborate with multi-functional teams to translate product requirements into ML solutions, iterating from proof-of-concept to fully productionized services. Develop robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring that model quality and relevance remain consistently high. Leverage distributed computing technologies and cloud infrastructures to handle large-scale data processing, feature engineering, and real-time inference, optimizing for performance and cost-efficiency. Implement reliable APIs and microservices that serve ML models to end users, ensuring alignment to standard methodologies in security, compliance, scalability, and maintainability. Stay ahead of emerging ML research, tools, and frameworks, evaluating and integrating new technologies such as sophisticated LLMs, reinforcement learning-based agents, and innovative inference optimization techniques. Basic Qualifications: PhD or Master’s or Bachelor's or equivalent experience in Computer Science, ML, Applied Mathematics, Data Science, or a related technical field. Proficiency in Python and Java for ML model development and systems integration. Hands-on experience with deep learning frameworks, including TensorFlow and PyTorch. Demonstrated experience working with LLMs and agent frameworks to develop advanced AI-based experiences. Proficiency in computer vision and NLP techniques for multimodal content understanding and generation. Work experience in Creative Domains, Imaging Domains will be highly useful. Experience in developing and deploying RESTful web services and microservices architectures for applications involving ML. Proficiency with UNIX environments, Git for version control, and Jenkins for CI/CD processes. 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.

Overview About Ripik.AI Ripik.ai is a fast-growing industrial AI SAAS start-up founded by IIT D/ BITS alumni and with extensive experience in McKinsey, IBM, Google and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders. Ripik.ai builds patented full stack software for automation of decision making on the factory floor. Today, they are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminium, cement, pharma, paints, consumer goods and others. It is one of world’s very few AI product start-ups to be a partner to GCP, Azure and AWS. We are also the AI partner of choice for CII, ICC and NASSCOM. Roles & Responsibilities We are seeking a highly motivated Automation and Machine Vision Engineer to join our Industrial AI and Automation team. The ideal candidate will have hands-on experience in developing and deploying computer vision solutions for manufacturing, quality control, and robotic inspection. You will be responsible for designing AI-based vision systems using cameras, deep learning models, and edge computing platforms. Develop and deploy machine vision applications using industrial cameras (e.g., Basler, FLIR). Design AI-based inspection systems for detecting defects such as scratches, dents, mislabels, and missing components. Build and train deep learning models using CNN, YOLO, RCNN for object detection, OCR, classification, and segmentation. Integrate vision systems into automation workflows, PLCs, or robotic arms using standard protocols. Work with image acquisition pipelines, camera calibration, lighting setup, and industrial communication standards. Collaborate with software, automation, and mechanical teams to build end-to-end inspection systems. Optimize model performance on edge devices (e.g., NVIDIA Jetson, Raspberry Pi, etc.). Perform on-site testing, calibration, and commissioning at industrial client locations. Required Skills, Competencies & Experience B.E./B.Tech in Instrumentation, Electronics, Mechatronics, Computer Science, or related field. 2–5 years of relevant experience in machine vision, automation, or AI-based quality control systems. Strong problem-solving skills and ability to work independently in R&D or client-facing roles. Preferred Qualification Strong knowledge of OpenCV, Python, TensorFlow/PyTorch, and image processing. Experience with YOLO, Faster-RCNN, SSD or other real-time object detection models. Hands-on with industrial camera systems (Basler, Hikvision, Cognex, etc.). Familiarity with edge AI platforms like NVIDIA Jetson Nano/Xavier. Understanding industrial automation systems, SCADA/PLC integration. Experience with machine vision software (e.g., Halcon, LabVIEW Vision, MVTec) is preferred. Familiarity with SCADA, Historian systems, or MES integration. Exposure to virtualization, server-client architecture, or redundant systems. Knowledge of video analytics, CCTV integration, and industrial automation security. Physical Requirements Ability to travel to project sites and conduct field inspections. Comfortable working in hazardous industrial environments (oil refineries, chemical plants, etc.) What can you expect? Ability to shape the future of manufacturing by leveraging best-in-class AI and software; we are a unique organization with niche skill set that you would also develop while working with us World class work culture, coaching and development Mentoring from highly experienced leadership from world class companies (refer to Ripik.AI website for details) Location – Noida (Work from Office)

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. About the Group: Join a dynamic and fast-evolving team that is building next-generation AI-based tools and agent systems for QuestaSim, flagship simulation software at Siemens EDA. We're focused on designing intelligent AI agents, optimizers, and copilots using modern AI/ML techniques. This is an R&D-heavy role with real-world applications, significant autonomy, and room to innovate. This role is based in Noida. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this job takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: We are seeking a highly motivated and experienced software engineer with a strong background in AI/ML to join the QuestaSim (Simulation) R&D team at Siemens EDA. In this role, you will: Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). Build intelligent systems that understand natural language queries and automate complex workflows. Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. Prototype and productize tools that leverage code understanding, profiling, and data analysis. Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. Work on prompt engineering, few-shot learning, and tool use orchestration What We’re Looking For: Must-Have: Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). We are looking for candidates with 2-4 years of proven experience. Strong working knowledge of LangChain, RAG pipelines, and vector stores. Strong understanding and experience in application of Deep Learning models like ANNs and transformers. Experience in developing AI agents or copilots that interface with tools or external APIs. Proficiency in Python; familiarity with software design patterns and clean code. Practical experience in data preprocessing, feature engineering, and model evaluation. Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have : Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us? Work on cutting-edge AI R&D projects with real product impact! Be part of a startup-like team within a global tech company. Opportunity to lead innovation, publish internally, and drive industry-first solutions. Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Transform the everyday #DVT

Job Summary We are seeking a highly skilled and self-motivated AI Engineer to join us as we establish our AI Center of Excellence (CoE). As an early team member, you will play a critical role in shaping the foundation, strategy, and implementation of AI and ML solutions across the organization. This role offers a unique opportunity to work at the forefront of AI innovation, contribute to impactful use cases, and collaborate with cross-functional teams to build intelligent agentic systems. You will work with both Microsoft technologies (Copilot Studio, AI Foundry, Azure OpenAI) and open-source frameworks to design, deploy, and manage enterprise-ready AI solutions. Key Responsibilities a. Design, develop, and deploy AI agents using Microsoft Copilot Studio and AI Foundry. b. Build and fine-tune machine learning models for NLP, prediction, classification, and recommendation tasks. c. Conduct exploratory data analysis (EDA) to extract insights and support model development. d. Implement and manage LLM workflows, including prompt engineering, fine-tuning, evaluation, deployment, and monitoring. e. Utilize open-source frameworks such as LangChain, Hugging Face, MLflow, and RAG pipelines to build scalable, modular AI solutions. f. Integrate AI solutions with business workflows using APIs and cloud-native deployment methods. g. Use Azure AI services, including AI Foundry and Azure OpenAI, for secure and scalable model operations. h. Contribute to the creation of an AI governance framework, including Responsible AI principles, model explainability, fairness, and accountability. i. Support the creation of standards, reusable assets, and documentation as the CoE grows. j. Collaborate with engineering, data, and business teams to define problems, build solutions, and demonstrate value. k. Stay up to date with emerging AI capabilities such as Model Context Protocol (MCP), Agent-to-Agent (A2A) frameworks, and Agent Communication Protocols (ACP), and proactively evaluate opportunities to integrate them into enterprise solutions. Required Qualifications · Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field. · 5+ years of experience in AI, machine learning, or data science with production-level deployments. · Strong foundation in statistics, ML algorithms, and data analysis techniques. · Hands-on experience building with LLMs, GenAI platforms, and AI copilots. · Proficient in Python, with experience using libraries such as Pandas, Scikit-learn, PyTorch, TensorFlow, and Transformers. · Experience with Microsoft Copilot Studio, AI Foundry, and Azure OpenAI. · Working knowledge of open-source GenAI tools (LangChain, Haystack, MLflow). · Understanding of cloud deployment, API integration, and version control (Git).

Company Description Sultan Chand & Sons (P) Ltd, established in 1950, is a renowned name in educational publishing. Catering to students from Pre-Primary to College level, the company boasts nearly 500 titles, known for their quality, design, and content. Located in Darya Ganj, New Delhi, the company's books are used in prestigious schools and colleges across India and neighbouring countries. With a rich legacy, Sultan Chand & Sons (P) Ltd continues to lead in Accountancy and English Grammar books, thanks to continuous updates and collaborations with distinguished academicians and educationists. Role Description 1. Content Development: Develop, edit, and refine AI textbooks and supplementary materials tailored to CBSE and CISCE curriculum guidelines. Collaborate with subject matter experts, writers, and educators to create accurate and age-appropriate content. 2. Digital Learning Content Creation: Design interactive digital content, including videos, animations, assessments, and simulations, to enhance learning from textbooks. Coordinate with multimedia designers and developers to produce engaging e-learning resources. 3. Quality Assurance: Ensure all content meets high standards of accuracy, clarity, and pedagogical value. Conduct thorough reviews and revisions to align content with curriculum frameworks. 4. Research and Innovation: Stay informed about the latest trends in AI, education technology, and curriculum design. Innovate content delivery methods to enhance student engagement and learning outcomes. Qualifications and Skills A degree in Computer Science, Artificial Intelligence, Education, or a related field. Advanced degrees preferred. Proficiency in Python programming and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). Practical experience working with microcontroller platforms, specifically Arduino and Raspberry Pi. Freshers are encouraged to apply. Familiarity with CBSE and CISCE curriculum standards. Strong understanding of AI concepts, including machine learning, data analysis, and ethical considerations. Excellent writing, editing, and communication skills. Proficiency in digital content creation tools and e-learning platforms.

Primary skill :- NVIDIA Solution Architect, GEN / AI Architect, Azure or AWS cloud. Relevant Exp :- NVIDIA ( 2 to 3 yrs ) Location :- Chennai / Noida. As an NVIDIA Generative AI Solution Architect at , you will lead the design, development, and deployment of AI solutions leveraging NVIDIA’s Edge AI, Computer Vision, Generative AI, and Metropolis technologies . You will collaborate with cross-functional teams and customers to architect scalable, high-performance AI systems integrating real-time computer vision, generative AI workflows, and industrial digital twins on edge, cloud, and metaverse platforms. Key Responsibilities Architect and deliver end-to-end AI solutions using NVIDIA’s AI Enterprise software, NeMo framework, Triton Inference Server, and GPU-accelerated platforms. Design and implement AI pipelines optimized for edge devices (NVIDIA Jetson, Clara), cloud infrastructure (AWS, Azure, GCP), and data centers (NVIDIA DGX). Develop and showcase proof-of-concept solutions using large language models (LLMs), retrieval-augmented generation (RAG), and advanced computer vision models for object detection, segmentation, and video analytics. Utilize NVIDIA Metropolis platform capabilities to architect AI-powered video analytics and smart city solutions, leveraging edge-to-cloud pipelines for real-time insights and automation. Optimize AI inference workloads using CUDA, TensorRT, mixed precision, and model quantization to meet stringent latency and throughput SLAs. Collaborate with company engineering, product, and client teams to embed NVIDIA AI technologies into enterprise workflows and industrial applications. Provide technical leadership, training, and mentorship on NVIDIA SDKs, AI best practices, and solution deployment strategies. Stay abreast of NVIDIA’s product roadmap, AI research trends, and industrial AI innovations to drive continuous solution improvement. Support customer engagements including technical workshops, solution demonstrations, and architectural reviews. Ensure adherence to data privacy, security, and ethical AI standards throughout the solution lifecycle. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related technical field. 5+ years of experience architecting and deploying AI/ML solutions with strong expertise in NVIDIA AI platforms (NeMo, Triton, CUDA, TensorRT). Proven experience with generative AI technologies including large language models, prompt engineering, and RAG workflows. Strong background in computer vision applications, including object detection, segmentation, and video analytics frameworks. Hands-on experience deploying AI solutions on edge devices (NVIDIA Jetson, Clara), cloud platforms (Azure, AWS, GCP), and data center GPU infrastructure. Familiarity with NVIDIA Metropolis platform for AI-powered video analytics and smart infrastructure solutions. Proficiency in Python, C++, and deep learning frameworks such as PyTorch or TensorFlow. Experience with container orchestration (Kubernetes, Docker) and MLOps practices including CI/CD pipelines for AI workloads. Excellent communication skills for engaging technical teams and business stakeholders. Willingness to travel up to 15% for client and NVIDIA events. Preferred Skills Experience optimizing AI inference with TensorRT, mixed precision, and model quantization. Knowledge of AI ethics, bias mitigation, and responsible AI principles. Prior experience in industrial, manufacturing, smart cities, or healthcare domains. Certifications related to NVIDIA AI technologies or cloud platforms (AWS, Azure, GCP). Experience working in global, cross-cultural teams.

About Company BDO India LLP (or BDO India) is the India member firm of BDO International. BDO India offers strategic, operational, accounting and tax & regulatory advisory & assistance for both domestic and international organisations across a range of industries. BDO India is led by more than 300 Partners & Directors with a team of over 7000 professionals operating across 12 cities.We expect to grow sizably in the coming 3-5 years, adding various dimensions to our business and multiplying the increasing the current team size multi-fold. About Technology Services In the world of business today, the words ‘disrupt, innovate, and transform’ have become daily goals. For companies to gain recognition, digital transformation is key. It increases profitability & retention, enhances governance, controls & compliance, and overall organization growth. However, most companies struggle to meet their digital transformation goals. At BDO in India, we assist clients in their digital transformation journey, enabling them to realign the way they do business and create more value. Leveraging our deep industry knowledge and extensive experience, our industry experts provide a holistic approach to clients looking for a successful digital transformation. Whether the focus is on automating tax compliance, enhancing customer interaction, increasing profitability through operational excellence, or improving employee experience and retention, we apply a proven framework and methodology that includes professionals with knowledge and experience. Responsibilities Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Requirements and skills Proven experience as a Machine Learning Engineer or similar role Understanding of data structures, data modelling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python Familiarity with LLM models & ChatGPT must have skills. Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Demonstrable expertise in the area of Machine Learning, Deep Learning, Image Processing, NLP, and predictive & forecasting models. Good understanding or experience of working with Azure ML. Strong experience with advanced SQL and good to have experience in Pyspark. Good understanding or experience of working in Azure cloud platform. Extensive hands-on big data preferably Hadoop, Spark, and NoSQL You are well versed with Python Data Analysis Stack like Pandas, Numpy and Scikit-learn. Curiosity to learn and implement latest developments in the field of AI. Developing algorithms and complex statistical models on large volumes of data. Own the MLOps life cycle, from data monitoring to refactoring data science code to building robust model monitoring workflows for model lifecycle management. Highly self-motivated with the ability to work independently, passionate about business & attention to details.

Overview about Ripik.AI: Ripik.ai is a fast-growing industrial AI SAAS start-up founded by IIT D/ BITS alumni and with extensive experience in McKinsey, IBM, Google and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders. Ripik.ai builds patented full stack software for automation of decision making on the factory floor. Today, they are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminium, cement, pharma, paints, consumer goods and others. It is one of world’s very few AI product start-ups to be a partner to GCP, Azure and AWS. We are also the AI partner of choice for CII, ICC and NASSCOM. Roles & Responsibilities: We are seeking a highly motivated Automation and Machine Vision Engineer to join our Industrial AI and Automation team. The ideal candidate will have hands-on experience in developing and deploying computer vision solutions for manufacturing, quality control, and robotic inspection. You will be responsible for designing AI-based vision systems using cameras, deep learning models, and edge computing platforms. Develop and deploy machine vision applications using industrial cameras (e.g., Basler, FLIR). Design AI-based inspection systems for detecting defects such as scratches, dents, mislabels, and missing components. Build and train deep learning models using CNN, YOLO, RCNN for object detection, OCR, classification, and segmentation. Integrate vision systems into automation workflows, PLCs, or robotic arms using standard protocols. Work with image acquisition pipelines, camera calibration, lighting setup, and industrial communication standards. Collaborate with software, automation, and mechanical teams to build end-to-end inspection systems. Optimize model performance on edge devices (e.g., NVIDIA Jetson, Raspberry Pi, etc.). Perform on-site testing, calibration, and commissioning at industrial client locations. Required Skills, Competencies & Experience: B.E./B.Tech in Instrumentation, Electronics, Mechatronics, Computer Science, or related field. 2–5 years of relevant experience in machine vision, automation, or AI-based quality control systems. Strong problem-solving skills and ability to work independently in R&D or client-facing roles. Preferred Qualification: Strong knowledge of OpenCV, Python, TensorFlow/PyTorch, and image processing. Experience with YOLO, Faster-RCNN, SSD or other real-time object detection models. Hands-on with industrial camera systems (Basler, Hikvision, Cognex, etc.). Familiarity with edge AI platforms like NVIDIA Jetson Nano/Xavier. Understanding industrial automation systems, SCADA/PLC integration. Experience with machine vision software (e.g., Halcon, LabVIEW Vision, MVTec) is preferred. Familiarity with SCADA, Historian systems, or MES integration. Exposure to virtualization, server-client architecture, or redundant systems. Knowledge of video analytics, CCTV integration, and industrial automation security. Physical Requirements: Ability to travel to project sites and conduct field inspections. Comfortable working in hazardous industrial environments (oil refineries, chemical plants, etc.) What can you expect? Ability to shape the future of manufacturing by leveraging best-in-class AI and software; we are a unique organization with niche skill set that you would also develop while working with us World class work culture, coaching and development Mentoring from highly experienced leadership from world class companies (refer to Ripik.AI website for details) Location – Noida (Work from Office)

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! Position Summary: Adobe Firefly Gen AI Models and services group seeks passionate machine learning engineers to deliver groundbreaking generative AI experiences. In this role, you'll: Optimize and scale state-of-the-art generative AI models. Deploy AI-driven creative tools that empower millions globally. Solve real-world challenges in AI scalability and production readiness. Job Responsibilities Help architect and optimize large-scale foundation model pipelines in Generative AI Design and develop the GenAI backend services for Firefly, creating GPU optimized, efficient model pipelines that power the generative AI features on Firefly website, PPro, Photoshop, Illustrator, Express, Stock and other applications/surfaces Collaborate with outstanding Applied researchers and engineers to bring ideas to production Provide technical leadership and mentorship for junior team members Explore and research new and emerging ML and MLOps technologies to continuously improve Adobe’s GenAI engineering effectiveness and efficiency Review and provide feedback on features, technology, architecture, designs and test strategies. What you'll need to succeed Masters or Ph.D. in Computer Science, AI/ML, or related fields or B.Tech and strong experience in AI/ML 8+ years of experience Excellent communication and technical leadership skills Experience in tech working with a large number of contributors on time-sensitive and business-critical GenAI projects Experience in the latest Generative AI technologies, such as GAN, diffusion, transformer models Strong hands-on experience with large-scale GenAI model pipelines and/or shipping ML features Strong collaboration skills. Experience with working in a Matrix organization, driving alignment, drawing conclusions, and getting things done Preferred experience: Experience training or optimizing models (CUDA, Triton, TRT, AOT) Experience converting models from various frameworks like PyTorch and TensorFlow to other target formats to ensure compatibility and optimized performance across different platforms Good publication record in Computer Science, AI/ML, or related fields #FireflyGenAI 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.

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 Opportunity Are you ready to contribute to Adobe's ambitious mission of empowering the next generation of creators? We're looking for an outstanding Computer Scientist 2 (Full Stack) to join our Adobe Firefly client team. This is an outstanding opportunity to craft next-generation AI/ML-powered creative tools that will reach millions worldwide. As a key player in our highly collaborative team, you will work closely with internal product teams and collaborators to architect and maintain user-facing experiences. Your diligent, meticulous approach, coupled with your ability to mentor and have a proactive mindset, will drive tangible results in our team-oriented culture. What You'll Do Help establish architecture and quality coding practices for the Adobe Firefly client platform Define long-term solutions for component-based architecture using functional programming Work closely with the design team, product management, and our internal clients to translate early ideas into interactive prototypes Engage with customers to identify problems, conduct A/B tests, and refine workflows Continuously expand your knowledge and skills to stay ahead of the latest development, test, and deployment methodologies What you need to succeed 8+ years of professional experience developing interactive web applications, preferably in the creative tool domain B.Tech or higher in Computer Science, or equivalent experience Excellent computer science fundamentals and a good understanding of design and performance of algorithms Deep knowledge of cloud-native applications and building and deploying web applications or interactive sites using React High proficiency in TypeScript or JavaScript (ES6+), Java, Spring Boot, Python, and Distributed Services design Passionate about quality of work, persistent, and uncompromising Proficient in writing code that is reliable, maintainable, secure, and performant Knowledge of AWS services and/or Azure, Docker, Jenkins, Splunk Proficiency in Test Driven Development (TDD) and functional programming style Confidence to be an opinionated, pragmatic developer, especially in writing high-performance, reliable, and maintainable code Ability to perform independently in a hybrid or remote-first work environment with strong written and verbal communication skills Bonus Qualifications Experience with Continuous Integration/Continuous Deployment (CI/CD) Exposure to generative AI models, including text-to-image and large language models Experience with video or similar multi-track non-linear editors Experience in UX design, design systems, or close collaboration with design teams Knowledge of modern web technologies, such as WASM, WebGPU, canvas rendering, security, asynchrony, and performance optimization Exposure to PyTorch/TensorFlow Knowledge of databases like Cosmos, Kafka, SQS, Redis, MongoDB, Solr, Dynamo, and Elastic Search 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.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity You will help our clients navigate the complex world of modern data science and analytics. We'll look to you to provide advice to our clients on how best to design, implement, stabilise, and optimise internal controls utilising cutting edge and scalable AI & Big Data technologies. Your Key Responsibilities As a Senior AI/ML Engineer you Build and leverage cutting edge Gen AI & Big Data platforms to deliver insights to build a comprehensive Risk & Controls monitoring mechanisms. Creating executive reporting, proposals, and marketing material, ensuring the highest quality deliverables. Work within the team and leverage your knowledge and expertise to solve some of the most intriguing technical challenges in design and development of next generation AI & Data led Risk technology platform. Skills and Summary of Accountabilities: Develop robust AI/ML models to drive valuable insights and enhance the decision-making process across multiple business lines. Strong technical knowledge of Big Data Platforms, AI technologies around Large Language Models, Vector Databases, comprehensive DevOps services and full stack application development Lead the design and development of bespoke machine learning algorithms to achieve business objectives. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes. Good understanding of Machine learning/NLP/LLM/GenAI/deep learning, and generative AI techniques. Apply advanced machine learning techniques (like SVM, Decision Trees, Neural Networks, Random Forests, Gradient Boosting etc.) to complex problems. Ensure adherence to ethical AI guidelines and data governance policies. Utilize expertise in Prompt Engineering to design and implement innovative solutions for workflow orchestration, leveraging tools such as Python, Airflow, and Terraform. Collaborate closely with cross-functional teams, including data scientists, analysts, and other engineers, to identify opportunities for AI and analytics-driven improvements in the bank's operations and services. Stay up to date with the latest advancements in AI, analytics, and Prompt Engineering, ensuring remains at the forefront of innovation and maintains a competitive edge in the industry. Maintain and improve existing AI/ML architectures and ensure they continue to deliver significant results. Intellectual strength and flexibility to resolve complex problems and rationalise these into a workable solution which can then be delivered. Develop current and relevant client propositions, delivering timely high-quality output against stated project objectives. Willingness to learn, apply new and cutting-edge AI technologies to deliver insight driven business solutions. To qualify for the role you must have 4+ years of working experience in Large Scale AI/ML models and data science. Deep understanding of statistics, AI/ML algorithms, and predictive modeling. Proficiency in AI/ML programming languages like Python, R, SQL. Proficiency with a deep learning framework such as TensorFlow, PyTorch or Keras. Expertise in machine learning algorithms and data mining techniques (like SVM, Decision Trees, and Deep Learning Algorithms). Implement monitoring and logging tools to ensure AI model performance and reliability. Strong programming skills in Python including libraries for machine learning such as Scikit-learn, Pandas, NumPy, etc. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Automate tasks through Python scripting, databases, and other advanced technologies like databricks, synapse, ML, AI, ADF etc Should have good understanding of Git, JIRA, Change / Release management, build/deploy, CI/CD Azure Devops & Share Point. Strong understanding of Large Enterprise Applications like SAP, Oracle ERP & Microsoft Dynamics etc. Ideally, you'll also have Bachelor's Degree or above in mathematics, information systems, statistics, computer science, Data Science, or related disciplines. Relevant certifications are considered a plus Self-driven and creative problem-solver who enjoys the fast-paced world of software development and can perform well in a team. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Job Reference: Role Summary: The Machine Learning R&D Engineer role is responsible for the design, development and implementation of machine learning solutions to serve our organization. This includes ownership or oversight of projects from conception to deployment with appropriate cloud services. The role also includes responsibility for following best practices with which to optimize and measure the performance of our models and algorithms against business goals. Tasks and Responsibilities: Machine learning model research and development: design, develop and deploy machine learning models for localization and business workflow processes, including machine translation and quality assurance. Utilize appropriate metrics to evaluate model performance and iterate accordingly Ensure code quality, write robust, well-documented, and structured Python code Define and design solutions to machine learning problems. Work closely with cross-functional teams to understand business requirements and design solutions that meet those needs Explain complex technical concepts clearly to non-technical stakeholders Mentorship: Guide junior team members and contribute to a collaborative team environment Success indicators of a Machine Learning R&D Engineer: Effective Model Development: success is evident when the models developed are accurate, efficient, and align with project requirements Positive Team Collaboration: demonstrated ability to collaborate effectively with various teams and stakeholders, contributing positively to project outcomes Continuous Learning and Improvement: a commitment to continuous learning and applying new techniques to improve existing models and processes Clear Communication: ability to articulate findings, challenges, and insights to a range of stakeholders, ensuring understanding and appropriate Skills and Knowledge Excellent, in depth understanding of machine learning concepts and methodologies, including supervised and unsupervised learning, deep learning, classification Hands-on experience with natural language processing (NLP) techniques and tools Ability to write robust, production-grade code in Python Excellent communication and documentation skills. Able to explain complex technical concepts to non-technical stakeholders Experience taking ownership of projects from conception to deployment. Ability to transform business needs to solutions Nice to have: Experience using Large Language Models in production High proficiency with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn Hands-on experience with AWS technologies including EC2, S3, and other deployment strategies. Experience with SNS, Sagemaker a plus Experience with ML management technologies and deployment techniques, such as AWS ML offerings, Docker, GPU deployments, etc Education and Experience Bachelor’s degree in Computer Science, AI/ML, or related field (Master’s/PhD preferred) 6+ years of experience in AI/ML research and development

Key Responsibilities: Design, develop, and deliver comprehensive training programs in Artificial Intelligence, Machine Learning, Generative AI, and Agentic AI concepts Conduct classroom and virtual instructor-led training sessions for students, professionals, and internal teams Create training materials, hands-on lab sessions, and project-based modules using real-world datasets and case studies Train participants on the use and deployment of GenAI solutions on cloud platforms (Azure OpenAI, Google Vertex AI, AWS Bedrock, etc.) Stay updated with the latest trends in AI/ML, LLMs, and GenAI tools such as LangChain, Pinecone, OpenAI, Hugging Face, and more Mentor learners on deploying AI agents, building prompt-based applications, and developing end-to-end GenAI systems Collaborate with curriculum designers, product teams, and industry experts to ensure high-quality content delivery Track learner progress, provide feedback, and support certification readiness Key Skills Required: Technical Skills: Strong understanding of Artificial Intelligence, Machine Learning, and Deep Learning concepts Hands-on experience with Generative AI tools and frameworks (OpenAI GPT, Claude, Gemini, LangChain, LlamaIndex) Experience in building and deploying Agentic AI applications and workflows Proficiency with cloud-based GenAI platforms: Microsoft Azure, Google Cloud Platform , Amazon Web Services (AWS) Programming in Python, with experience in TensorFlow, PyTorch, Transformers, LangChain, etc. Familiarity with ML model lifecycle, MLOps, API integrations, vector databases, and prompt engineering.

Job Summary We are seeking a Data Scientist to join our team to analyze complex datasets, develop machine learning models, and provide data-driven insights to support business decisions. Key Responsibilities Data Analysis & Exploration Perform comprehensive exploratory data analysis (EDA) on large datasets. Identify patterns, trends, and anomalies in data. Conduct statistical analysis to validate business hypotheses. Create data visualizations to communicate findings effectively. Assess and ensure data quality and integrity. Write complex SQL queries to extract and manipulate data Machine Learning & Modeling Design and develop machine learning models for business problems like (XG Boost, Logistic Regression, DNN, RNN etc) Implement supervised and unsupervised learning algorithms Perform feature engineering and selection Evaluate model performance using appropriate metrics Deploy and monitor machine learning models in production Programming & Development Develop data analysis scripts and automation tools using Python Build data pipelines and ETL processes Create reusable code libraries and functions Maintain version control and documentation standards Required Qualifications Technical Skills SQL: Advanced proficiency in writing complex queries, joins, subqueries, and database optimization Python: Strong programming skills in Python for data analysis and machine learning Exploratory Data Analysis: Expertise in EDA techniques, statistical analysis, and data visualization Machine Learning: Solid understanding of ML algorithms, model evaluation, and validation techniques Statistics: Knowledge of statistical methods, hypothesis testing, and experimental design Knowledge of any cloud like AWS, GCP or Azure is good to have Must have experience working on ML Algorithm’s including - Random Forest, XGBoost and Neural networks. Familiarity with version control systems Experience with containerization and deployment tools Good to Have:- Worked on GenAI based Projects Using GenAI for driving productivity in your work. Knowledge of PySpark is a plus Must have Frameworks: Scikit Learn Any 1 of these 3 is a requirement. Pytorch/Keras/ TensorFlow

About Us: At Captivue.ai and Hrontips.com, we don't just talk about AI - we reinvent it. From RAG model training to deploying real-world AI solutions, we're building the future, one breakthrough at a time. If you're tired of corporate monotony and want to work with a team that moves fast, breaks things, and actually innovates, this is your playground. Oh, and here's the fun part - you'll be applying through Captivue, our AI-powered interview platform. No boring HR screenings, just smart, tech-driven hiring. (Yes, we practice what we preach.) What You'll Do: 🔹 Build, fine-tune, and deploy RAG-based AI models that solve real problems 🔹 Experiment with cutting-edge NLP, LLMs (Llama, GPT, Mistral), and vector databases 🔹 Crunch data, optimize performance, and make AI models smarter, faster, and more intuitive 🔹 Work alongside a high-energy team that values hustle over hierarchy 🔹 Push boundaries - because "good enough" isn't in our vocabulary Who You Are: ✅ BTech degree in Computer Science, Data Science, or related technical field ✅ 1-3 years of hands-on experience in ML/NLP, Python, and deep learning (PyTorch/TensorFlow) ✅ Worked with RAG architectures, LLM fine-tuning, or generative AI - bonus if you've tinkered with LangChain, Pinecone, or similar ✅ A curious, problem-solving mindset - you don't just follow tutorials, you build beyond them ✅ No corporate zombies - we want thinkers, experimenters, and doers ✅ Excited about AI's real-world impact (not just publishing papers) Why Join? ✨ Zero bureaucracy - your ideas get implemented, not stuck in meetings ✨ Work on bleeding-edge AI - no legacy tech, no slow-moving projects ✨ Get evaluated by our AI platform (Captivue) - fair, fast, and bias-free hiring ✨ Flexible, high-energy culture - we reward creativity, not just tenure Ready to Skip the HR Hassle? Apply with confidence, our AI interview platform will assess your skills, not your resume fluff. Show us what you've built, and let's change the future together

We're not your average tech company! Rightcrowd is a global leader in keeping people safe and organizations secure. We build smart solutions that manage who's on-site, what access they have, and ensure everything is compliant. Think big names – Fortune 50 and ASX 10 companies rely on us to tackle their toughest security challenges. We're a passionate, global team with offices in places like Australia, the USA, Belgium, India, and the Philippines, and we're on a mission to make the world a safer place, one clever line of code at a time. What We Offer Competitive salary and benefits. A collaborative, respectful, and high-accountability team culture. Opportunities for growth within a global finance team. Flexibility in a remote-friendly and dynamic work environment. Key Responsibilities Required Qualifications & Skills: Agentic AI Development & Code Generation: Design, implement, and lead the development of an advanced agentic AI system that can interpret user stories and autonomously generate production-ready code Research and implement state-of-the-art techniques in LLM prompting, fine-tuning, and orchestration to achieve optimal code generation results Architect robust evaluation systems to test, validate, and improve AI-generated code Seamlessly integrate AI-generated code into existing CI/CD pipelines Collaborate with product and engineering teams to refine inputs and ensure alignment with development standards AI Recommendation Engine Architecture: Architect a high-performance, scalable recommendation engine for the RightCrowd SmartAccess platform Design and implement AI-driven feature extraction pipelines Develop hybrid recommendation algorithms leveraging both collaborative filtering and content- based approaches Engineer systems for real-time inference and continuous model improvement Ensure the architecture integrates seamlessly with existing product infrastructure Natural Language Reporting System Development: Lead the end-to-end development of an AI-powered reporting system that translates natural language queries to SQL Engineer robust NLP components to accurately understand and parse user requests Build a reliable translation layer between natural language and database queries Implement data retrieval, processing, and presentation mechanisms Design systems for generating insights and visualizations from retrieved data Ensure appropriate data security and access controls Technical Leadership & Innovation: Provide architectural guidance across AI initiatives within the organization Design scalable, maintainable AI systems with consideration for cloud infrastructure and MLOps best practices Stay at the forefront of advancements in LLMs, agentic AI, and code generation technologies Mentor junior engineers and foster a culture of AI innovation Collaborate effectively with cross-functional teams Master's or Ph.D. in Computer Science, AI, or related field (or equivalent practical experience) 5+ years of experience building production-level AI systems with significant focus on LLMs and generative AI Demonstrated expertise in Python and modern AI frameworks (PyTorch, TensorFlow, Hugging Face Transformers) Extensive experience with LLM orchestration frameworks (LangChain, LangGraph, or similar) Proven track record designing and implementing agentic AI systems Strong proficiency in prompt engineering, fine-tuning, and optimization of LLMs Expert-level SQL skills and experience with database systems Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services Solid understanding of software engineering principles and best practices Experience with MLOps and CI/CD pipelines for AI systems Preferred Qualifications: Experience developing systems that generate production-ready code Familiarity with retrieval-augmented generation (RAG) techniques Experience with vector databases (Pinecone, Weaviate, etc.) Knowledge of containerization technologies (Docker, Kubernetes) Experience with model optimization, quantization, and efficient inference Contributions to open-source AI projects or research publications Familiarity with physical security or identity access management domains Experience implementing AI systems with strong security and governance controls This position offers the opportunity to work at the forefront of AI engineering, developing systems that not only generate code but also function autonomously to deliver real business R&D Ghaziabad, India

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.

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.