4139 Pytorch Jobs

Job Title: Assistant Manager - Learning designer (AI/ML) Location: HSR, Bangalore (Work from office) Experience Required: Minimum 4 years Department: Product Innovation Employment Type: Full-time Role Overview: We are looking for a passionate AI/ML Subject Matter Expert with a strong background in Artificial Intelligence, Machine Learning, Python, and Deep Learning to support our course development initiatives. As an SME, you will collaborate with the content, instructional design, and product teams to create high-quality, industry-relevant learning content. Key Responsibilities: Research and stay updated on emerging trends, tools, and technologies in AI/ML, Python, Deep Learning, and Data Science. Contribute to designing, reviewing, and refining Simplilearns AI/ML curriculum and learning paths. Create and validate course content including learning objectives, project ideas, assessments, and use cases. Work closely with instructional designers to ensure technical accuracy and pedagogical effectiveness. Support the content production team with scripting, reviewing, and storyboarding. Participate in webinars, doubt sessions, and learner engagement activities when required. Guide the integration of industry use-cases and capstone projects to enhance learner outcomes. Required Skills and Qualifications: Minimum 4 years of hands-on experience in AI/ML and related technologies. Proficiency in Python, with experience in libraries like NumPy, Pandas, Scikit-learn, TensorFlow, Keras, or PyTorch. Strong understanding of machine learning algorithms, data preprocessing, deep learning models, and NLP. Good analytical and communication skills. Experience in curriculum development or content creation is a strong plus. Exposure to e-learning, edtech, or training is desirable. Nice to Have: Published work, blogs, or GitHub projects in AI/ML. Experience with LLMs, GenAI, or RAG frameworks. Prior instructional design or teaching experience. Exposure in effectively lead and manage a team by allocating tasks based on individual strengths and capabilities to ensure optimal performance and successful project delivery.

We are looking for a talented and driven Generative AI Engineer with 3 years of experience to join our AI team. You will work on designing, developing, and optimizing cutting-edge generative models for a variety of applications, including text, images, and audio Proficiency in Python and relevant ML/AI libraries (TensorFlow, PyTorch, Hugging Face, etc.),GANs, VAEs, Transformers, and Diffusion Models,NLP,computer vision, or audio synthesis,AWS, GCP, Azure,MLOps Develop and optimize generative models (e.g., GANs, VAEs, Diffusion Models, Transformer Models) for various use cases. Location: Chennai, Hyderabad, Kolkata, Pune, Ahmedabad, Remote

Role : Gen AI developer/ AI ML / ML operations/Data science Experience: 4 Years - 11 Years Locations: Bangalore/Chennai/Pune/Kolkata Notice Period: Immediate to 30 Days Mandatory Skills : Gen AI, LLM, RAG, Lang chain, Mistral,Llama, Vector DB, Azure/GCP/ Lambda, Python, Tensorflow, Pytorch Preferred Skills : GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox, Job Description / Roles & Responsibilities (in Detail) : We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework. Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models Design and develop prompts suiting project needs Stakeholder management across business and domains as required for the projects Evaluating base models and benchmarking performance Implement prompt guardrails to prevent attacks like prompt injection, jail braking and prompt leaking Develop, deploy and maintain auto prompt solutions Design and implement minimum design standards for every use case involving prompt engineering You will be responsible for training the machine learning and deep learning model. Writing reusable, testable, and efficient code using Python Design and implementation of low-latency, high-availability, and performant applications Implementation of security and data protection Integration of data storage solutions and API Gateways Production change deployment and related support Interested candidates can share their updated CV to pravallika@wrootsglobal.in

Key Responsibilities Design and develop machine learning models for computer vision tasks including object detection, classification, tracking, and scene understanding. Lead end-to-end model lifecycle: data preprocessing, feature engineering, model selection, training, evaluation, and deployment. Implement and experiment with state-of-the-art techniques including Vision Transformers (ViT) and class-incremental learning for continuous adaptation in production environments. Analyze data from edge devices and physical environments to generate actionable insights. Develop and maintain reproducible research pipelines using versioned data and experiment tracking tools. Collaborate with the ML Ops and engineering teams to ensure seamless integration of models into production environments. Optimize models for real-time inference performance, accuracy, and scalability on edge devices or cloud-based infrastructure. Document findings, present insights to cross-functional teams, and contribute to technical decision-making. Mentor junior data scientists and contribute to team knowledge sharing. Required Qualifications 4+ years of experience in data science or machine learning roles, with hands-on production experience. Expertise in computer vision algorithms and deep learning models.\ Strong grasp of cutting-edge architectures such as CNNs , Vision Transformers (ViT) , and knowledge distillation techniques. Practical experience with class-incremental learning , transfer learning , and domain adaptation . Proficiency in Python and ML libraries such as PyTorch , TensorFlow , scikit-learn , and OpenCV . Hands-on experience with data versioning and experiment tracking tools such as DVC , MLflow etc. Solid understanding of ML model deployment and lifecycle management. Strong experience in working with structured and unstructured data, especially large-scale image/video datasets. Excellent analytical skills and the ability to interpret complex data and communicate results clearly. Preferred Qualifications Prior experience in startup or high-growth environments where adaptability is key. Experience working with cloud platforms such as AWS , GCP , or Azure for scalable ML workflows. Familiarity with edge computing , real-time inference , and model optimization frameworks like TensorRT , ONNX , or OpenVINO . Experience with CI/CD pipelines for ML projects and collaboration with ML Ops teams. Domain knowledge in retail, healthcare, logistics, or behavioral analytics is a strong plus. Contributions to open-source ML projects or published research papers. Comfort with visualization tools and reporting frameworks for data storytelling.

We are looking for a Senior Data Scientist with expertise in Natural Language Processing (NLP), Computer Vision, Generative AI, and IoT data processing. The ideal candidate should have hands-on experience in deploying AI models on cloud (Azure) and edge environments, building data pipelines, and implementing CI/CD workflows. Strong proficiency in Python, SQL, TensorFlow, PyTorch, and cloud services (Azure ML, App Services, Data Factory) is essential. The role requires model monitoring, performance optimization, and IoT device integration for predictive analytics and real-time AI solutions.

Hiring a Solution Architect with 810 yrs experience in data, AI & GenAI. Must have strong cloud (AWS/Azure/GCP), LLM, ML (TensorFlow/PyTorch), and full-stack skills. Role involves designing scalable architectures and leading technical teams.

Dear Candidate, We are seeking a Machine Learning Engineer to develop predictive models and deploy them into production. Ideal for professionals passionate about AI and data science. Key Responsibilities: Develop and train machine learning models Preprocess and analyze large datasets Deploy models using scalable infrastructure Collaborate with product teams to integrate ML solutions Required Skills & Qualifications: Strong knowledge of Python and ML libraries (scikit-learn, TensorFlow, PyTorch) Experience with data preprocessing and feature engineering Familiarity with model deployment techniques Bonus: Experience with cloud ML services (AWS SageMaker, Google AI Platform) Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Delivery Manager Integra Technologies

Global Gen AI Developer Enabling a software-defined, electrified future. Visteon is a technology company that develops and builds innovative digital cockpit and electrification products at the leading-edge of the mobility revolution. Founded in 2000, Visteon brings decades of automotive intelligence combined with Silicon Valley speed to apply global insights that help transform the software-defined vehicle of the future for many of the worlds largest OEMs. The company employs 10,000 employees in 18 countries around the globe. To know more about us click here. Mission of the Role: Facilitate Enterprise machine learning and artificial intelligence solutions using the latest technologies Visteon is adopting globally. Key Objectives of this Role: The primary goal of the Global ML/AI Developer is to leverage advanced machine learning and artificial intelligence techniques to develop innovative solutions that drive Visteons strategic initiatives. By collaborating with cross-functional teams and stakeholders, this role identifies opportunities for AI-driven improvements, designs and implements scalable ML models, and integrates these models into existing systems to enhance operational efficiency. Following development best practices, fostering a culture of continuous learning, and staying abreast of AI advancements, the Global ML/AI Developer ensures that all AI solutions align with organizational goals, support data-driven decision-making, and continuously improve Visteons technological capabilities. Qualification, Experience and Skills: 6-8 Yrs Technical Skills: Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, R, SQL), and data processing tools (e.g., Apache Spark, Hadoop). Proficiency in developing, training, and deploying ML models, including supervised and unsupervised learning, deep learning, and reinforcement learning. Strong understanding of data engineering concepts, including data preprocessing, feature engineering, and data pipeline development. Experience with cloud platforms (preferably Microsoft Azure) for deploying and scaling ML solutions. Business Acumen : Strong business analysis and ability to translate complex technical concepts into actionable business insights and recommendations. Key Behaviors: Innovation: Continuously seeks out new ideas, technologies, and methodologies to improve AI/ML solutions and drive the organization forward. Attention to Detail: Pays close attention to all aspects of the work, ensuring accuracy and thoroughness in data analysis, model development, and documentation. Effective Communication: Clearly and effectively communicates complex technical concepts to non-technical stakeholders, ensuring understanding and alignment across the organization.

TECHNICAL ARCHITECT Key Responsibilities 1. Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process. 2. Communicating: Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the value of a solution to stakeholders and clients. 3. Managing Stakeholders: Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations. 4. Architectural Oversight: Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end workflows. 5. Problem Solving: Identify and troubleshoot technical problems in existing or new systems. Assist with solving technical problems when they arise. 6. Ensuring Quality: Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals. 7. Project management: Break down project requirements into manageable pieces of work, and organise the workloads of technical teams. 8. Tool & Framework Expertise: Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS, Azure, GCP), Web App development frameworks and DevOps practices. 9. Continuous Improvement: Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement. Technical Skills 1. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models. 2. Knowledge or experience working with self-hosted or managed LLMs. 3. Knowledge or experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers) and familiarity with Computer Vision frameworks like OpenCV and related libraries for image processing and object recognition. 4. Experience or knowledge in back-end frameworks (e.g., Django, Spring Boot, Node.js, Express etc.) and building RESTful and GraphQL APIs. 5. Familiarity with microservices, serverless, and event-driven architectures. Strong understanding of design patterns (e.g., Factory, Singleton, Observer) to ensure code scalability and reusability. 6. Proficiency in modern front-end frameworks such as React, Angular, or Vue.js, with an understanding of responsive design, UX/UI principles, and state management (e.g., Redux) 7. In-depth knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), as well as caching solutions (e.g., Redis, Memcached). 8. Expertise in tools such as Apache Spark, Hadoop, Pandas, and Dask for large-scale data processing. 9. Understanding of data warehouses and ETL tools (e.g., Snowflake, BigQuery, Redshift, Airflow) to manage large datasets. 10. Familiarity with visualisation tools (e.g., Tableau, Power BI, Plotly) for building dashboards and conveying insights. 11. Knowledge of deploying models with TensorFlow Serving, Flask, FastAPI, or cloud-native services (e.g., AWS SageMaker, Google AI Platform). 12. Familiarity with MLOps tools and practices for versioning, monitoring, and scaling models (e.g., MLflow, Kubeflow, TFX). 13. Knowledge or experience in CI/CD, IaC and Cloud Native toolchains. 14. Understanding of security principles, including firewalls, VPC, IAM, and TLS/SSL for secure communication. 15. Knowledge of API Gateway, service mesh (e.g., Istio), and NGINX for API security, rate limiting, and traffic management. Experience Required Technical Architect with 7 - 12 years of experience Salary 22-25 LPA Job Types: Full-time, Permanent Pay: ₹2,200,000.00 - ₹2,500,000.00 per year Location Type: In-person Work Location: In person

Company: G3 Interactive Location: Kochi (On-site) Experience Required: 2+ years Employment Type: Full-time About the Role: G3 Interactive is seeking a skilled Machine Learning Engineer to join our team in Kochi. In this role, you’ll develop intelligent, data-driven solutions tailored to client needs. From exploring new algorithms to deploying robust systems, you’ll play a key part in building real-world machine learning applications. Key Responsibilities: Apply over two years of hands-on experience with deep learning and neural networks in practical projects Research and evaluate novel machine learning models and techniques Build and test experimental prototypes to support product development Design ML systems based on specific client or business requirements Translate model results into meaningful business insights Assess test results and enhance model performance through continuous tuning Conduct data exploration and visualisation to uncover issues affecting model accuracy Prepare datasets from varied sources such as APIs, databases, or structured files Deploy machine learning models to production and manage their ongoing performance Required Skills & Qualifications: Strong understanding of advanced mathematics and statistics, including calculus, linear algebra, and Bayesian methods Degree in Computer Science, Mathematics, Statistics, or a related discipline Proficiency in Python and SQL Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Good grasp of software architecture, data modelling, and data structures Experience running ML models on cloud services (AWS, Azure, or Google Cloud) Strong problem-solving abilities, teamwork, and analytical thinking Familiarity with data science workflows and tools Job Type: Full-time Pay: ₹30,000.00 - ₹40,000.00 per month Schedule: Day shift Morning shift Ability to commute/relocate: Ernakulam, Kerala: Reliably commute or planning to relocate before starting work (Required) Location: Ernakulam, Kerala (Preferred) 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

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

Job Title : Sr. Python Developer Job Location : Hyderabad /Chennai Job Type : Full Time Experience : 8+ Yrs Notice Period - Immediate to 15 days joiners are highly preferred Design, develop, and maintain scalable Python applications and AI-powered solutions. Collaborate with cross-functional teams to understand requirements. Create, train, deploy, and optimize machine learning and AI applications. Integrate AI/ML models into production environments with robust error handling, logging, and monitoring. Implement and enhance data preprocessing pipelines, ensuring data quality for training and inference. Conduct research to explore new AI/ML technologies, frameworks, and practices to enable teams. Write clean, testable, and efficient code following best practices for software development. Debug and improve the performance, scalability, and reliability of Python-based applications. Work with cloud platforms, FastAPIs, and databases to develop end-to-end AI solutions. Proficient in Python and its libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn, NumPy, Pandas, Flask/Django). Hands-on experience with ML algorithms (e.g., supervised and unsupervised learning, reinforcement learning). Knowledge of natural language processing (NLP), computer vision, or deep learning techniques. Familiarity with AI-driven tools and architectures. Solid understanding of data structures, preprocessing techniques, and feature engineering. Experience deploying AI/ML models using frameworks like Docker, Kubernetes, or AWS/GCP/Azure cloud services.

About the Role: We are seeking an experienced 3D SLAM (Simultaneous Localization and Mapping) Computer Vision Engineer to join our innovative team. The ideal candidate will have a strong background in computer vision, robotics, and software development, with a focus on 3D perception and SLAM algorithms. You will work on cutting-edge projects that involve building real-time mapping and localization systems, contributing to both research and practical deployment. Key Responsibilities: Design, develop, and implement state-of-the-art 3D SLAM algorithms for real-time applications. Collaborate with cross-functional teams to integrate SLAM solutions with hardware and other software components. Conduct in-depth research and stay updated with the latest advancements in SLAM, computer vision, and related fields. Optimize code for real-time performance and robustness across different environments. Develop and maintain the software infrastructure for testing and deploying SLAM systems. Analyze and process sensor data from various sources, including LiDAR, depth cameras, and IMUs. Troubleshoot and debug issues related to 3D perception, mapping, and localization. Requirements: Education : Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field. PhD is a plus. Experience : 3-5 years of experience in computer vision or robotics, with a focus on SLAM and 3D perception. Technical Skills : Proficiency in programming languages such as C++ and Python. Strong knowledge of computer vision libraries (e.g., OpenCV, PCL) and frameworks. Experience with SLAM algorithms (e.g., ORB-SLAM, RTAB-Map, LOAM). Familiarity with 3D point cloud processing, sensor fusion, and Kalman filters. Mathematics : Strong background in linear algebra, probability theory, and optimization techniques. Problem-Solving : Excellent analytical skills for troubleshooting and performance tuning. Communication : Ability to effectively collaborate with cross-functional teams and present technical information clearly. Preferred Qualifications: Experience with robotics frameworks such as ROS (Robot Operating System). Knowledge of GPU programming and parallel processing (e.g., CUDA). Experience working with 3D reconstruction, photogrammetry, or AR/VR applications. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for computer vision tasks. Job Type: Full-time Pay: ₹500,000.00 - ₹1,500,000.00 per year

Who We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future. What We Offer Location: Bangalore,IND, Chennai,IND At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. You’ll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. What You’ll Do You will be responsible leading research, design, development and implementation of algorithmic modules. You will perform algorithmic concept and feasibility for image processing algorithms, including problem analysis, data gathering, literature review, concept selection and evaluation and implementation constrains. Your key responsibilities will be Demonstrates understanding of computer vision and machine learning / deep learning algorithms for image analysis, pattern recognition, metrology, and object detection. Prototyping algorithms approaches to solve complex problems and drive integration of new algo solutions to product. Algorithm optimization to reduce computational cost and influence hardware requirements. You will be a great fit if you have Strong background in computer vision, image processing, and DL technology Expertise in C/C++, Python, MATLAB and working experience with Tensor Flow, Pytorch or similar framework Academic background in Computer Vision; Deep Learning, Machine Learning, or Artificial Intelligence. Experience working in Semiconductor industry. Excellent analytical, problem-solving, and organizational skills, along with strong interpersonal communication skills. Experience in managing teams, sets organizational priorities and allocates resources. Ph.D. or Master’s in computer science/engineering or similar fields with 5+ years of experience Education: Bachelor's Degree/Master's Degree Years Of Experience: 4 - 7 Years Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

Job Title: Senior AI/ML Developer (Onsite) Location: Riyadh, Saudi Arabia Job Type: Full-Time, Onsite Experience Required: 5+ years Interested candidates can send their resume and a cover letter to hr@whitemastery.com or contact 9176760030 About the Role We are looking for a passionate and highly skilled Senior Artificial Intelligence and Machine Learning Developer to join our growing tech team onsite . If you are someone who thrives in a dynamic environment, enjoys solving complex problems using intelligent systems, and wants to be part of building cutting-edge solutions that drive real-world impact — we want to hear from you. This role demands strong technical leadership, a proactive mindset, and the ability to architect and deploy robust AI/ML models. As a senior member of the team, you will also mentor juniors and actively collaborate with cross-functional teams. Key Responsibilities Design, develop, and deploy AI/ML models and systems for real-world applications Build end-to-end pipelines including data preprocessing, model training, validation, and deployment Research and implement advanced ML algorithms, deep learning models, and NLP techniques Collaborate with data scientists, product managers, and software engineers to deliver AI-powered features Ensure scalability, reliability, and performance of deployed models Stay ahead of the curve with the latest developments in AI/ML and drive innovation Mentor junior developers and help shape technical best practices within the team Key Skills & Qualifications Strong programming skills in Python and Golang Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Scikit-learn Solid grasp of machine learning, deep learning, NLP , and model interpretability techniques Experience with model deployment, MLOps , and version control tools Strong understanding of data structures, algorithms, and system design Experience working with cloud platforms (AWS/GCP/Azure) is a plus Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field Excellent problem-solving, analytical, and communication skills Minimum 5 years of experience in AI/ML development, with proven track record in delivering production-grade models Job Type: Contractual / Temporary Pay: ₹700,000.00 - ₹1,500,000.00 per year Benefits: Paid sick time Paid time off Application Question(s): Do you hold a valid passport? When can you join us? Experience: AI and ML: 3 years (Preferred) Work Location: In person

Job Title: Data Scientist Position Summary As a Data Scientist at FSL, you will leverage your expertise in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing and Generative AI to develop innovative data-driven solutions and applications. You will play a key role in designing and deploying dynamic models and applications using modern web frameworks like Flask and FastAPI, ensuring efficient deployment and ongoing monitoring of these systems Key Responsibilities: Model Development and Application: Design and implement advanced ML and DL models. Develop web applications for model deployment using Flask and FastAPI to enable real-time data processing and user interaction. Data Analysis: Perform exploratory data analysis to understand underlying patterns, correlations and trends. Develop comprehensive data processing pipelines to prepare large datasets for analysis and modeling. Generative AI: Employ Generative AI techniques to create new data points, enhance content generation and innovate within the field of synthetic data production. Collaborative Development: Work with cross-functional teams to integrate AI capabilities into products and systems. Ensure that all AI solutions are aligned with business goals and user needs. Research and Innovation: Stay updated with the latest developments in AI, ML, DL, CV and NLP. Explore new technologies and methodologies that can impact our products and services positively. Communication: Effectively communicate complex quantitative analysis in a clear, precise and actionable manner to senior management and other departments. Required Skills and Qualifications: Education: BE or Master’s or PhD in Computer Science, Data Science, Statistics or a related field. Experience: 5 to 7 years of relevant experience in a data science role with a strong focus on ML, DL and statistical modeling. Technical Skills: Strong coding skills in Python, including experience with Flask or FastAPI. Proficiency in ML, DL frameworks (e.g., PyTorch, TensorFlow), CV (e.g., OpenCV) and NLP libraries (e.g., NLTK, spaCy). Generative AI: Experience with generative models such as GANs, VAEs or Transformers. Deployment Skills: Experience with Docker, Kubernetes and continuous integration/continuous deployment (CI/CD) pipelines. Strong Analytical Skills: Ability to translate complex data into actionable insights. Communication: Excellent written and verbal communication skills. Certifications: Certifications in Data Science, ML or AI from recognized institutions is added advantage. Location: Hyderabad, Mumbai, Bangalore and Chennai ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Overview +12 An AI Engineer develops, implements, and maintains artificial intelligence systems. This involves designing and building algorithms, training machine learning models, and optimizing their performance. They collaborate with other teams, like data scientists and software engineers, to integrate AI solutions into products and services. Ultimately, their work aims to create intelligent systems that can learn, make predictions, and improve over time. Key Responsibilities: Developing and implementing AI solutions: Designing and building AI models using machine learning and deep learning techniques. Collaborating with cross-functional teams: Working with data scientists, software engineers, and product managers to align AI solutions with business objectives. .Building and training machine learning models: Utilizing tools like TensorFlow and PyTorch to create models for various tasks like natural language processing, computer vision, and robotics. Optimizing AI model performance: Ensuring AI models operate efficiently and make adjustments based on data analysis. Deploying AI models into production: Implementing AI systems into real-world applications and monitoring their performance. Staying up-to-date with advancements in AI: Keeping abreast of the latest technologies and frameworks to enhance AI systems. Troubleshooting and improving AI applications: Identifying and resolving issues in AI systems to improve performance and user experience. Skills Required: Strong programming skills: Proficiency in languages like Python, Java, or C++ is essential. Machine learning and deep learning expertise: Knowledge of algorithms, neural networks, and related techniques. Data science and data engineering skills: Ability to work with large datasets, perform data analysis, and build data pipelines. Problem-solving and analytical skills: Ability to identify and solve complex problems using AI techniques. Communication and collaboration skills: Ability to effectively communicate technical information and work with diverse teams. Tamil candidates only Job Types: Full-time, Permanent Pay: ₹360,492.40 - ₹1,464,601.06 per year Schedule: Day shift Monday to Friday Supplemental Pay: Yearly bonus Work Location: In person

Company Description At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future. Job Description Responsibilities: Research, design, develop, implement and test econometric, statistical, optimization and machine learning models. Design, write and test modules for Nielsen analytics platforms using Python, R, SQL and/or Spark. Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy, StatsModels. Collaborate with cross functional Data Science, Product, and Technology teams to integrate best practices from across the organization Provide leadership and guidance for the team in the of adoption of new tools and technologies to improve our core capabilities Execute and refine the roadmap to upgrade the modeling/forecasting/control functions of the team to improve upon the core service KPI’s Ensure product quality, stability, and scalability by facilitating code reviews and driving best practices like modular code, unit tests, and incorporating CI/CD workflows Explain complex data science (e.g. model-related) concepts in simple terms to non-technical internal and external audiences Qualifications Key Skills: 5+ years of professional work experience in Statistics, Data Science, and/or related disciplines, with focus on delivering analytics software solutions in a production environment Strong programming skills in Python with experience in NumPy, Pandas, SciPy and Scikit-learn. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow, Keras). Solid understanding of Machine learning domains such as Computer Vision, Natural Language Processing and classical Machine Learning. Proficiency in SQL and NoSQL databases for large-scale data manipulation Experience with cloud-based ML services (AWS SageMaker, Databricks, GCP AI, Azure ML). Knowledge of model deployment (FastAPI, Flask, TensorRT, ONNX) MLOps tools (MLflow, Kubeflow, Airflow) and containerization. Preferred skills: Understanding of LLM fine-tuning, tokenization, embeddings, and multimodal learning. Familiarity with vector databases (FAISS, Pinecone) and retrieval-augmented generation (RAG). Familiarity with advertising intelligence, recommender systems, and ranking models. Knowledge of CI/CD for ML workflows, and software development best practices. Additional Information Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.

Company Description Version 1 are a true global leader in business transformation. For nearly three decades, we have been strategically partnering with customers to go beyond expectations through the power of cutting-edge technology and expert teams. Our deep expertise in cloud, data and AI, application modernisation, and service delivery management has redefined businesses globally, helping shape the future for large public sector organisations and major global, private brands. We put users and user-centric design at the heart of everything we do, enabling our customers to exceed expectations for their customers. Our approach is underpinned by the Version 1 Strength in Balance model – a balanced focus across our customers, our people and a strong organisation. This model is guided by core values that are embedded in every aspect of what we do. Our customers’ need for transformation is our driving force. We enable them to accelerate their journey to their digital future with our deep expertise and innovative approach. Our global technology partners – Oracle, Microsoft, AWS, Red Hat, and Snowflake – help us tackle any challenge by leveraging a technology-driven approach. Our people unlock our potential. They immerse themselves into the world of our customers to truly understand the unique challenges they face. Our teams, made up of highly skilled, passionate individuals, act with agility and integrity. We continually invest in their development and foster a culture that encourages collaboration and innovation. This is a reflection of our Strength in Balance model, which emphasises a balanced focus on our customers, our people, and a strong organisation. Through our comprehensive range of Managed Service offerings, we take ownership of the tasks that distract Customers from what really matters; driving their business objectives and strategic initiatives. We enable them to save time, and reduce costs and risk, by continually improving your technology estates, ensuring they drive value for their business. Go beyond simply ‘keeping the lights on’ and embrace the potential of our ASPIRE Managed Services that place AI, continuous improvement and business innovation at the heart of everything we do. From operational maintenance through to optimisation, we are trusted managed service experts with a sustainable, value-led approach and a wealth of industry sector expertise and experience. Job Description Onsite role, India Delivery Centre / Belfast / Dublin Full time position, 3-5 days per week in office (not shift) Department: ASPIRE Managed Services Practice: Services Reliability Group Vetting Requirements: N/A Role Summary: Our ASPIRE Global Service Centre is the central hub of our Service Management operations. Beyond a traditional Service Desk, it stands as the central authority and shared service delivery hub, orchestrating all operational workflows, processes, procedures, and tooling. It’s a core delivery component of the Version 1 ASPIRE Managed Services offering that places AI, continuous improvement and business innovation at the heart of everything Version 1 does. With a focus on supporting self-service and automation, we utilise the best digital capabilities of the ServiceNow ITSM tooling product to provide the very best Experience to our Customers. We are seeking an experienced and results-driven AI and Automation Lead who will be responsible for driving the strategic implementation and operational excellence of automation and artificial intelligence initiatives for ASPIRE Managed Services. This role leads the identification, design, and deployment of intelligent automation solutions to improve operational efficiency and productivity, enhance decision making, scale operations and deliver a competitive advantage in the market. Key Responsibilities: Develop and execute the ASPIRE Managed Services automation and AI strategy aligned with SRG and EA Practice goals Identify opportunities for AI and automation across all Managed Service functions, tooling and processes Champion a culture of innovation and continuous improvement through emerging technologies Lead end-to-end delivery of automation and AI projects, including planning, development, testing, deployment, and monitoring Establish governance frameworks and best practices for AI and automation initiatives Oversee the design and implementation of AI models, RPA (Robotic Process Automation), and intelligent workflows Ensure solutions are scalable, secure, and compliant with data privacy and ethical standards Evaluate and select appropriate tools, platforms, and vendors Collaborate with business units to understand pain points and co-create solutions Communicate complex technical concepts to non-technical stakeholders Monitor performance and continuously optimise solutions. Delivery of measurable business value through automation and AI Development of internal capabilities and knowledge sharing across teams Qualifications Skills, Education & Qualifications: Proven experience (5 years +) leading automation and AI projects in a complex, multi-client or enterprise-scale managed services environment, with demonstrable delivery of measurable business outcomes Strong technical expertise in Artificial Intelligence and Machine Learning, including: Supervised/unsupervised learning, deep learning, and natural language processing (NLP) Model development using frameworks such as TensorFlow, PyTorch, or scikit-learn Experience deploying AI models in production environments using MLOps principles (e.g., MLflow, Azure ML, SageMaker). Hands-on experience with automation and orchestration technologies, such as: Robotic Process Automation (RPA) platforms: UiPath, Blue Prism, Automation Anywhere IT process automation (ITPA) tools: ServiceNow Workflow/Orchestration, Microsoft Power Automate, Ansible, Terraform Integration using APIs and event-driven architectures (e.g., Kafka, Azure Event Grid) Proficiency in cloud-native AI and automation services in one of or more of public cloud platforms: Azure (Cognitive Services, Synapse, Logic Apps, Azure OpenAI) AWS (SageMaker, Lambda, Textract, Step Functions) GCP (Vertex AI, AutoML, Cloud Functions) Strong project delivery experience using modern methodologies: Agile/Scrum and DevOps for iterative development and deployment CI/CD pipeline integration for automation and ML model lifecycle management Use of tools like Git, Jenkins, and Azure DevOps In-depth knowledge of data architecture, governance, and AI ethics, including: Data privacy and security principles (e.g., GDPR, ISO 27001) Responsible AI practices: bias detection, explainability (e.g., SHAP, LIME), model drift monitoring Excellent stakeholder engagement and communication skills, with the ability to: Translate complex AI and automation concepts into business value Influence cross-functional teams and executive leadership Promote a culture of innovation, experimentation, and continuous learning Excellent leadership and team management skills Strong communication, interpersonal, and problem-solving abilities Strategic thinking and decision-making Adaptability to evolving technologies and processes Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.

Job Information Date Opened 06/23/2025 Job Type Full time Industry Technology State/Province Karnataka Zip/Postal Code 560048 City Bangalore Country India About Us At Innover, we endeavor to see our clients become connected, insight-driven businesses. Our integrated Digital Experiences, Data & Insights and Digital Operations studios help clients embrace digital transformation and drive unique outstanding experiences that apply to the entire customer lifecycle. Our connected studios work in tandem to reimagine the convergence of innovation, technology, people, and business agility to deliver impressive returns on investments. We help organizations capitalize on current trends and game-changing technologies molding them into future-ready enterprises. Take a look at how each of our studios represents deep pockets of expertise and delivers on the promise of data-driven, connected enterprises. Job Description About the Role We are seeking a motivated and talented Test Automation Engineer to join our Quality Assurance team. This role is ideal for individuals with a strong work ethic, a passion for learning, and expertise in designing automation solutions enhanced by AI. You’ll thrive in our collaborative, innovative environment, working on impactful projects to ensure the quality of cutting-edge web applications. The ideal candidate excels at managing multiple tasks, meeting deadlines, and leveraging tools like Playwright and Python , alongside AI techniques, to optimize testing efficiency and deliver precise, scalable results. While financial domain knowledge is a plus, it’s not required. Key Responsibilities Develop Automation Scripts: Create and maintain automated test scripts using Playwright with Python to validate web applications, ensuring cross-browser compatibility, dynamic content handling, and complex interactions like data grid sorting, filtering, and validation. Maintain Automation Suites: Manage and enhance automation suites for sanity checks, smoke testing, regression testing, and API testing, integrating with CI/CD pipelines (e.g., GitHub Actions, Jenkins). Data Management for Testing: Preprocess and manage large datasets using SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB ) databases to support AI models and test data integrity. Optimize Testing Workflows: Fine-tune Playwright scripts and AI models for performance, scalability, and reliability, minimizing false positives and ensuring robust test coverage. Review and Troubleshoot: Analyze automated test runs, troubleshoot failures, and report defects with clear, actionable insights, generating automated HTML or JUnit XML reports for stakeholders. Collaborate Across Teams: Work with QA analysts, developers, and data scientists to align automation and AI solutions with project goals, supporting manual testing when needed. Documentation: Responsible for technical specifications and guide for automation process and the design of test cases from User Stories when needed. Stay Current with Trends: Continuously adopt advancements in Playwright, Python, AI technologies, and testing best practices to enhance QA capabilities. What We’re Looking For Must-Have Qualifications Education: Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field (or equivalent experience). Experience: 5+ years in test automation, with a focus on QA applications. Proven expertise in developing Playwright with Python automation scripts for web testing, including locators (e.g., CSS, XPath, text), cross-browser testing, and API interactions. Hands-on experience with AI-driven testing solutions (e.g., test case optimization, defect prediction). Technical Skills: Advanced proficiency in Python for automation and AI development (please list additional coding languages you’re experienced in, e.g., Java, JavaScript, or C#). Expertise in Playwright for web automation; familiarity with other tools (e.g., Selenium, Cypress, Appium) is a plus. Strong knowledge of AI techniques (e.g., supervised/unsupervised learning, NLP, anomaly detection) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Experience with SQL databases for test data management. Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins), REST API testing (e.g., Postman), and data-driven testing frameworks . Hands-on experience with cloud platforms (e.g., Azure , AWS ) for testing in cloud-based environments. Knowledge of Playwright fixtures and pytest for structured QA automation. Soft Skills: Exceptional attention to detail to ensure error-free automation and high-quality outcomes. Strong problem-solving skills to independently troubleshoot challenges. Excellent communication and collaboration skills to work with cross-functional teams. Ability to manage multiple priorities in a fast-paced environment with a willingness to learn and ask questions. Nice to Have Basic understanding of financial systems or fintech concepts. Experience with performance testing tools (e.g., JMeter, LoadRunner). Certifications in AI (e.g., Google Professional Machine Learning Engineer) or test automation (e.g., ISTQB Advanced Test Automation Engineer). Familiarity with version control systems (e.g., Git) and cloud platforms (e.g., GCP).

Job Title: Senior AI Engineer Location: Bengaluru, India - (Hybrid) At Reltio®, we believe data should fuel business success. Reltio's AI-powered data unification and management capabilities—encompassing entity resolution, multi-domain master data management (MDM), and data products—transform siloed data from disparate sources into unified, trusted, and interoperable data. Reltio Data Cloud™ delivers interoperable data where and when it's needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands—across multiple industries around the globe—rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our "Customer First", we strive to ensure their success. We embrace our differences and are "Better Together" as One Reltio. We are always looking to "Simplify and Share" our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We "Own It". Every day, we innovate and evolve, so that today is "Always Better Than Yesterday". If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you're ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let's talk! Job Summary: As a Senior AI Engineer at Reltio, you will be a core part of the team responsible for building intelligent systems that enhance data quality, automate decision-making, and drive entity resolution at scale. You will work with cross-functional teams to design and deploy advanced AI/ML solutions that are production-ready, scalable, and embedded into our flagship data platform. This is a high-impact engineering role with exposure to cutting-edge problems in entity resolution, deduplication, identity stitching, record linking, and metadata enrichment . Job Duties and Responsibilities: Design, implement, and optimize state-of-the-art AI/ML models for solving real-world data management challenges such as entity resolution, classification, similarity matching, and anomaly detection. Work with structured, semi-structured, and unstructured data to extract signals and engineer intelligent features for large-scale ML pipelines. Develop scalable ML workflows using Spark, MLlib, PyTorch, TensorFlow, or MLFlow , with seamless integration into production systems. Translate business needs into technical design and collaborate with data scientists, product managers, and platform engineers to operationalize models. Continuously monitor and improve model performance using feedback loops, A/B testing, drift detection, and retraining strategies. Conduct deep dives into customer data challenges and apply innovative machine learning algorithms to address accuracy, speed, and bias. Actively contribute to research and experimentation efforts, staying updated with latest AI trends in graph learning, NLP, probabilistic modeling , etc. Document designs and present outcomes to both technical and non-technical stakeholders , fostering transparency and knowledge sharing. Skills You Must Have: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence , or related field. PhD is a plus. 5+ years of hands-on experience in developing and deploying machine learning models in production environments. Proficiency in Python (NumPy, scikit-learn, pandas, PyTorch/TensorFlow) and experience with large-scale data processing tools ( Spark, Kafka, Airflow ). Strong understanding of ML fundamentals , including classification, clustering, feature selection, hyperparameter tuning, and evaluation metrics. Demonstrated experience working with entity resolution, identity graphs, or data deduplication . Familiarity with containerized environments (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure) Strong debugging, analytical, and communication skills with a focus on delivery and impact. Attention to detail, ability to work independently, and a passion for staying updated with the latest advancements in the field of data science Skills Good to Have: Experience with knowledge graphs, graph-based ML, or embedding techniques . Exposure to deep learning applications in data quality, record matching, or information retrieval . Experience building explainable AI solutions in regulated domains. Prior work in SaaS, B2B enterprise platforms , or data infrastructure companies . Why Join Reltio?* Health & Wellness: Comprehensive Group medical insurance, including your parent,s with additional top-up options. Accidental Insurance Life insurance Free online unlimited doctor consultations An Employee Assistance Program (EAP) Work-Life Balance: 36 annual leaves, which include Sick leaves – 18, Earned Leaves - 18 26 weeks of maternity leave, 15 days of paternity leave Very unique to Reltio - 01 week of additional off as recharge week every year globally Support for home office setup: Home office setup allowance. Stay Connected, Work Flexibly: Mobile & Internet Reimbursement No need to pack a lunch—we've got you covered with a free meal. And many more….. Reltio 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 status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Company Description Version 1 are a true global leader in business transformation. For nearly three decades, we have been strategically partnering with customers to go beyond expectations through the power of cutting-edge technology and expert teams. Our deep expertise in cloud, data and AI, application modernisation, and service delivery management has redefined businesses globally, helping shape the future for large public sector organisations and major global, private brands. We put users and user-centric design at the heart of everything we do, enabling our customers to exceed expectations for their customers. Our approach is underpinned by the Version 1 Strength in Balance model – a balanced focus across our customers, our people and a strong organisation. This model is guided by core values that are embedded in every aspect of what we do. Our customers’ need for transformation is our driving force. We enable them to accelerate their journey to their digital future with our deep expertise and innovative approach. Our global technology partners – Oracle, Microsoft, AWS, Red Hat, and Snowflake – help us tackle any challenge by leveraging a technology-driven approach. Our people unlock our potential. They immerse themselves into the world of our customers to truly understand the unique challenges they face. Our teams, made up of highly skilled, passionate individuals, act with agility and integrity. We continually invest in their development and foster a culture that encourages collaboration and innovation. This is a reflection of our Strength in Balance model, which emphasises a balanced focus on our customers, our people, and a strong organisation. Through our comprehensive range of Managed Service offerings, we take ownership of the tasks that distract Customers from what really matters; driving their business objectives and strategic initiatives. We enable them to save time, and reduce costs and risk, by continually improving your technology estates, ensuring they drive value for their business. Go beyond simply ‘keeping the lights on’ and embrace the potential of our ASPIRE Managed Services that place AI, continuous improvement and business innovation at the heart of everything we do. From operational maintenance through to optimisation, we are trusted managed service experts with a sustainable, value-led approach and a wealth of industry sector expertise and experience. Job Description Onsite role, India Delivery Centre / Belfast / Dublin Full time position, 3-5 days per week in office (not shift) Department: ASPIRE Managed Services Practice: Services Reliability Group Vetting Requirements: N/A Role Summary: Our ASPIRE Global Service Centre is the central hub of our Service Management operations. Beyond a traditional Service Desk, it stands as the central authority and shared service delivery hub, orchestrating all operational workflows, processes, procedures, and tooling. It’s a core delivery component of the Version 1 ASPIRE Managed Services offering that places AI, continuous improvement and business innovation at the heart of everything Version 1 does. With a focus on supporting self-service and automation, we utilise the best digital capabilities of the ServiceNow ITSM tooling product to provide the very best Experience to our Customers. We are seeking an experienced and results-driven AI and Automation Technician who will be responsible for the delivery and ongoing management of automation and artificial intelligence initiatives for ASPIRE Managed Services. This role will primarily be responsible for the design, and deployment of intelligent automation solutions to improve operational efficiency and productivity, enhance decision making, scale operations and deliver a competitive advantage in the market. Key Responsibilities: Identify opportunities for AI and automation across all Managed Service functions, tooling and processes Delivery and technical implementation of automation and AI projects, including development, testing, deployment, and monitoring Ensure solutions are scalable, secure, and compliant with data privacy and ethical standards Evaluate and select appropriate tools, platforms, and vendors Collaborate with business units to understand pain points and co-create solutions Monitor performance and continuously optimise solutions Development of internal capabilities and knowledge sharing across teams Qualifications Skills, Education & Qualifications: Proven experience (2 years +) delivering automation and AI projects in a complex, multi-client or enterprise-scale managed services environment Technical expertise in Artificial Intelligence and Machine Learning, including: Supervised/unsupervised learning, deep learning, and natural language processing (NLP) Model development using frameworks such as TensorFlow, PyTorch, or scikit-learn Experience deploying AI models in production environments using MLOps principles (e.g., MLflow, Azure ML, SageMaker). Hands-on experience with automation and orchestration technologies, such as: Robotic Process Automation (RPA) platforms: UiPath, Blue Prism, Automation Anywhere IT process automation (ITPA) tools: ServiceNow Workflow/Orchestration, Microsoft Power Automate, Ansible, Terraform Integration using APIs and event-driven architectures (e.g., Kafka, Azure Event Grid) Proficiency in cloud-native AI and automation services in one of or more of public cloud platforms: Azure (Cognitive Services, Synapse, Logic Apps, Azure OpenAI) AWS (SageMaker, Lambda, Textract, Step Functions) GCP (Vertex AI, AutoML, Cloud Functions) Good knowledge of data architecture, governance, and AI ethics Excellent stakeholder engagement and communication skills, with the ability to: Translate complex AI and automation concepts into business value Promote a culture of innovation, experimentation, and continuous learning Strong communication, interpersonal, and problem-solving abilities Adaptability to evolving technologies and processes Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.

Location: Noida & Gurgaon Total Experience: 4 to 12 years(Senior Associate & Manager) Role Overview The Agentic Automation Engineer will develop and implement intelligent automation solutions using agentic frameworks like LangGraph, AutoGen, and CrewAI, integrating generative AI and Retrieval-Augmented Generation (RAG) techniques. This role requires deep expertise in Python, generative AI, and both open-source and closed-source LLMs, along with proficiency in databases and modern automation tools. The ideal candidate will collaborate with cross-functional teams to deliver scalable, high-impact automation workflows that enhance business processes. Key Responsibilities · Design and develop agentic automation workflows using frameworks such as LangGraph, AutoGen, CrewAI, and other multi-agent systems (e.g., MCP, A2A) to automate complex business processes. · Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual understanding and accurate response generation in automation tasks. · Integrate open-source LLMs (e.g. LLaMA) and closed-source LLMs (e.g., OpenAI, Gemini, Vertex AI) to power agentic systems and generative AI applications. · Develop robust Python-based solutions using libraries like LangChain, Transformers, Pandas, and PyTorch for automation and AI model development. · Implement and manage CI/CD pipelines, Git workflows, and software development best practices to ensure seamless deployment of automation solutions. · Work with structured and unstructured data, applying prompt engineering and fine-tuning techniques to enhance LLM performance for specific use cases. · Query and manage databases (e.g., SQL, NoSQL) for data extraction, transformation, and integration into automation workflows. · Collaborate with stakeholders to translate technical solutions into business value, delivering clear presentations and documentation. · Stay updated on advancements in agentic automation, generative AI, and LLM technologies to drive innovation and maintain competitive edge. · Ensure scalability, security, and performance of deployed automation solutions in production environments. Required Qualifications and Skills · Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. · Experience: o 5+ years of hands-on experience in AI/ML, generative AI, or automation development. o Proven expertise in agentic frameworks like LangGraph, AutoGen, CrewAI, and multi-agent systems. o Experience building and deploying RAG-based solutions for automation or knowledge-intensive applications. o Hands-on experience with open-source LLMs (Hugging Face) and closed-source LLMs (OpenAI, Gemini, Vertex AI). · Technical Skills: o Advanced proficiency in Python and relevant libraries (LangChain, Transformers, Pandas, PyTorch, Scikit-learn). o Strong SQL skills for querying and managing databases (e.g., PostgreSQL, MongoDB). o Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), Git workflows, and containerization (e.g., Docker, Kubernetes). o Experience with Linux (Ubuntu) and cloud platforms (AWS, Azure, Google Cloud) for deploying automation solutions. o Knowledge of automation tools (e.g., UiPath, Automation Anywhere) and workflow orchestration platforms. · Soft Skills: o Exceptional communication skills to articulate technical concepts to non-technical stakeholders. o Strong problem-solving and analytical skills to address complex automation challenges. o Ability to work collaboratively in a fast-paced, client-facing environment. o Proactive mindset with a passion for adopting emerging technologies. Preferred Qualifications · Experience with multi-agent coordination protocols (MCP) and agent-to-agent (A2A) communication systems. · Familiarity with advanced generative AI techniques, such as prompt chaining, tool-augmented LLMs, and model distillation. · Exposure to enterprise-grade automation platforms or intelligent process automation (IPA) solutions. · Contributions to open-source AI/automation projects or publications in relevant domains. · Certification in AI, cloud platforms, or automation technologies (e.g., AWS Certified AI Practitioner, RPA Developer).

Job Title: Python Developer – Generative AI Location: Bangalore (Night Shift) Experience: 4+ Years Shift: Night Shift Employment Type: Full-Time About the Role We are seeking an experienced and innovative Python Developer with expertise in Generative AI to work in a night shift capacity. You will design, develop, and deploy intelligent AI-powered systems using cutting-edge LLMs and generative models. The ideal candidate thrives in fast-paced environments and is passionate about leveraging AI to solve real-world problems. Key Responsibilities Build and maintain Python-based APIs and backends integrated with Generative AI models. Work with large language models (e.g., GPT, Claude, LLaMA) and image/audio generation tools (e.g., DALL·E, Stable Diffusion). Implement prompt engineering, fine-tuning, and model deployment pipelines. Collaborate with global teams during night shift hours to develop scalable AI features. Deploy models using FastAPI, Flask, Docker, or cloud platforms. Optimize model performance for latency, accuracy, and scalability. Ensure testing, monitoring, and documentation of AI integrations. Required Skills 4+ years of Python development experience. 1+ years of hands-on experience with Generative AI tools and models. Strong knowledge of PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI API. Experience with deployment (Docker, FastAPI), and model inference in production. Familiarity with vector databases (FAISS, Pinecone, Weaviate). Preferred Skills Experience with GPU-based training or inference. Exposure to MLOps tools like MLflow, Airflow, or Kubeflow. Understanding of AI ethics, model safety, and bias mitigation. Contributions to open-source GenAI or ML projects. Job Types: Full-time, Permanent Pay: ₹1,089,300.86 - ₹1,660,283.26 per year Benefits: Health insurance Provident Fund Schedule: Night shift Work Location: In person