5152 Tensorflow Jobs - Page 36

Job Role: Machine Learning Engineer As a Machine Learning Engineer, you’ll be applying your expertise to help us develop a world-leading capability in this exciting and challenging domain. You will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. Primary responsibilities: 1. Applying machine learning, deep learning, and signal processing on large datasets (Audio, sensors, images, videos, text) to develop models. 2. Architecting large scale data analytics / modeling systems. 3. Designing and programming machine learning methods and integrating them into our ML framework / pipeline. 4. Work closely with data scientists/analyst to collaborate and support the development of ML data pipelines, platforms and infrastructure 5. Evaluate and validate the analysis with statistical methods. Also presenting this in a lucid form to people not familiar with the domain of data science / computer science. 6. Creation of microservices and APIs for serving ML models and ML services 7. Evaluating new machine learning methods and adopting them for our purposes. 8. Feature engineering to add new features that improve model performance. Required skills: 1. Background and knowledge of recent advances in machine learning, deep learning, natural language processing, and/or image/signal/video processing with around 5 years of professional work experience working on real-world applications. 2. Strong programming background, e.g. Python, Pytorch, MATLAB, C/C++, Java, and knowledge of software engineering concepts (OOP, design patterns). 3. Knowledge of machine learning libraries Tensorflow, Keras, scikit-learn, pyTorch, 4. Excellent mathematical and skills and background, e.g. accuracy, significance tests, visualization, advanced probability concepts 5. Architecting and implementing end-to-end solutions for accelerating experimentation and model building 6. Working knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) 7. Ability to perform both independent and collaborative research. 8. Excellent written and spoken communication skills. Preferred qualification and experience: B.E.\B. Tech\B.S. candidates' entries with 3+ years of experience in the aforementioned fields will be considered. M.E.\M.S.\M. Tech\PhD preferably in fields related to Computer Science with experience in machine learning, image and signal processing, or statistics preferred.

About Velsera Medicine moves too slow. At Velsera, we are changing that. Velsera was formed in 2023 through the shared vision of Seven Bridges and Pierian, with a mission to accelerate the discovery, development, and delivery of life-changing insights. Velsera provides software and professional services for: AI-powered multimodal data harmonization and analytics for drug discovery and development IVD development, validation, and regulatory approval Clinical NGS interpretation, reporting, and adoption With our headquarters in Boston, MA, we are growing and expanding our teams located in different countries! What will you do? Train, fine-tune, and deploy Large Language Models (LLMs) to solve real-world problems effectively Design, implement, and optimize AI/ML pipelines to support model development, evaluation, and deployment Collaborate with Architect, software engineers, and product teams to integrate AI solutions into applications Ensure model performance, scalability, and efficiency through continuous experimentation and improvements Work on LLM optimization techniques, including Retrieval-Augmented Generation (RAG), prompt tuning, etc Manage and automate the infrastructure necessary for AI/ML workloads while keeping the focus on model development Work with DevOps teams to ensure smooth deployment and monitoring of AI models in production Stay updated on the latest advancements in AI, LLMs, and deep learning to drive innovation Requirements What do you bring to the table? Strong experience in training, fine-tuning, and deploying LLMs using frameworks like PyTorch, TensorFlow, or Hugging Face Transformers Hands-on experience in developing and optimizing AI/ML pipelines, from data preprocessing to model inference Solid programming skills in Python and familiarity with libraries like NumPy, Pandas, and Scikit-learn Strong understanding of tokenization, embeddings, and prompt engineering for LLM-based applications Hands-on experience in building and optimizing RAG pipelines using vector databases (FAISS, Pinecone, Weaviate, or ChromaDB) Experience with cloud-based AI infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes) Experience in model monitoring, A/B testing, and performance optimization in a production environment Familiarity with MLOps best practices and tools (Kubeflow, MLflow, or similar) Ability to balance hands-on AI development with necessary infrastructure management Strong problem-solving skills, teamwork, and a passion for building AI-driven solutions Benefits Flexible Work & Time Off - Embrace hybrid work models and enjoy the freedom of unlimited paid time off to support work-life balance Health & Well-being - Access comprehensive group medical and life insurance coverage, along with a 24/7 Employee Assistance Program (EAP) for mental health and wellness support Growth & Learning - Fuel your professional journey with continuous learning and development programs designed to help you upskill and grow Recognition & Rewards - Get recognized for your contributions through structured reward programs and campaigns Engaging & Fun Work Culture - Experience a vibrant workplace with team events, celebrations, and engaging activities that make every workday enjoyable & Many More..

Very Urgent: AI Specialist / Gen AI Specialist with LLM Company: AurumData Solutions Experience: 8+years Location: Hyderabad Job Mode: Permanent Work Type: Work From Office Key Skills: AI/GenAI, LLM, RAG,NLP, Python, ML/DL, TensorFlow, PyTorch, Scikit-learn, cloud platforms (AWS, GCP, or Azure) AI Specialist Job Description: We are seeking an experienced AI Specialist to develop, implement, and optimize artificial intelligence (AI) and machine learning (ML) models. The ideal candidate will have a strong background in AI, deep learning, natural language processing (NLP), and data science. This role involves collaborating with cross-functional teams to integrate AI-driven solutions into business processes, enhancing efficiency, automation, and decision-making. Required Skills & Qualifications Bachelor's or Masters degree in Computer Science, AI, Machine Learning, Data Science, or a related field. 5+ years of experience in AI/ML development and deployment. Proficiency in programming languages such as Python, R, or Java. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, GANs). Experience with NLP, speech recognition, or computer vision. Knowledge of cloud-based AI services (AWS SageMaker, GCP AI, Azure ML). Familiarity with big data technologies (Hadoop, Spark, Kafka) is a plus. Strong problem-solving skills and the ability to work in a collaborative environment. Excellent communication skills to convey AI concepts to non-technical stakeholders. Design, develop, and deploy AI/ML models to solve complex business problems . Implement machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning. Work with large datasets to extract insights and build predictive models. Develop AI-powered applications, including chatbots, recommendation systems, and computer vision solutions. Collaborate with data scientists, engineers, and business analysts to align AI solutions with business needs. Optimize AI models for performance, scalability, and accuracy. Conduct research on emerging AI technologies and recommend their adoption. Ensure AI solutions comply with ethical AI principles, privacy regulations, and security guidelines. Use cloud platforms (AWS, GCP, or Azure) to deploy and manage AI models. Continuously monitor and improve AI models based on real-world feedback and data. Preferred Qualifications AI certifications (Google Professional ML Engineer, AWS Certified ML Specialist, etc.). Experience in AI-driven automation and decision intelligence. Knowledge of edge AI and federated learning techniques. If you are interested, kindly send your updated profiles to Balaram@aurumdatasolutions.com Regards, Balaram K Mobile No: +91- 9000749410 / 9848771366 Email: Balaram@aurumdatasolutions.com

FOR IMMEDIATE HIRE: Machine Learning Engineer (NLP & Conversational AI) Gurugram, India Laika AI is seeking a highly skilled and innovative Machine Learning Engineer with a specialized focus on Natural Language Processing (NLP) and chatbot development to join our dynamic team. This full-time, on-site role is an exceptional opportunity for a talented individual to contribute to the forefront of the AI and blockchain revolution. Remuneration - 7-9 LPA Company Description Laika AI is a pioneering Web3 company at the forefront of the artificial intelligence and blockchain revolution. We provide cutting-edge solutions that combine advanced algorithms, machine learning, and decentralized Web3 technology to empower individuals and organizations. Our focus extends to building intelligent systems that can understand and interact with users in a seamless, conversational manner. By integrating sophisticated Natural Language Processing and generative AI into our Web3 framework, we are uniquely positioned to drive innovation and redefine the boundaries of decentralized applications. Role Description This is a full-time on-site role for a Machine Learning Engineer at our Gurugram location. The successful candidate will be a key player in the development of our next-generation AI-powered products. Responsibilities will include the end-to-end development of advanced NLP models and the creation of intelligent, responsive chatbots utilizing the ChatGPT API and other leading large language models (LLMs). The role will involve designing and implementing machine learning pipelines for text data, fine-tuning pre-trained models, and working in close collaboration with our product and engineering teams to deliver high-impact AI solutions. Key Responsibilities: Designing, developing, and deploying robust NLP models and algorithms to power our applications. Building and refining sophisticated chatbot systems using the ChatGPT API and similar generative AI technologies. Processing and analyzing large volumes of text data to extract meaningful insights and patterns. Developing and optimizing data pipelines for model training, evaluation, and deployment. Staying at the forefront of the latest advancements in NLP, LLMs, and conversational AI to drive innovation within the company. Qualifications Essential: Proven experience in Natural Language Processing (NLP), including hands-on experience with techniques such as sentiment analysis, named entity recognition (NER), and text classification. Essential: Demonstrable experience in developing and deploying chatbots and conversational AI systems using the ChatGPT API or other large language models (e.g., GPT-4, Llama, Gemini). Solid background in Computer Science and Statistics, with a deep understanding of machine learning algorithms and principles. Proficiency in designing, building, and optimizing neural networks and statistical models. Strong programming skills, particularly in Python, and experience with relevant ML/NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face). Exceptional analytical and problem-solving abilities, with a keen eye for detail. Excellent teamwork and communication skills, with the ability to articulate complex technical concepts to a diverse audience. A Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field is highly desirable. Knowledge of blockchain technology and the Web3 ecosystem is a significant advantage.

About the Company Greetings from Teamware Solutions a division of Quantum Leap Consulting Pvt. Ltd About the Role We are hiring a Python Developer Locations: Bangalore, Pune, Mumbai, Gurugram Work Model: Hybrid Years of Experience: 5-8 years of experience Notice Period: Immediate to 15 Days Technology/ Skillset - Python Developer Preferred location - Bangalore – 5. Pune – 5, Mumbai – 5, Gurugram -5 Mandatory skills - Python,Django , Panda,Numpy,Tensorflow,Flask, FastAPI, SQL,Oops Concept,Azure,AWS Good to Have - Full Stack experience No of Open Demands - 20 Job Requirements: • Bachelor or Master degree with 3+ years of strong Python development experience • Design, develop, and maintain high-performance web applications using Python and related frameworks. • Strong understanding of Python OOPs, Data type, Data Structure and algorithm , Exception handling, Decarotor , Generator, Iterator, Automation. • Strong understanding of Python Libraries (Pandas, TensorFlow, Numpy, SciPy) • Experience in Cloud Azure / AWS • Develop, optimize, and manage complex APIs (RESTful or GraphQL). • Collaborate with cross-functional teams to define, design, and ship new features. • Troubleshoot and resolve advanced technical issues in development and production environments. • Conduct technical evaluations of new tools and frameworks, recommending their adoption when appropriate. • Stay ahead of emerging trends in Python development, ensuring the team remains at the forefront of innovation. • Advanced proficiency in Python and frameworks like Django,Flask, or FastAPI. • Good understanding of Database Postgres / MySQL & ORM Library i.e. SQL Alchemy/ any ORM libraries • Understanding of Code Repository tools i.e. GIT , SVN • Strong understanding of DevOps principles(Docker, Kubernetes and microservices) Please let me know if you are interested in this position and send me your resumes to netra.s@twsol.com

Data Science Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship About WebBoost Solutions by UM WebBoost Solutions by UM provides aspiring professionals with hands-on experience in data science , offering real-world projects to develop and refine their analytical and machine learning skills for a successful career. Responsibilities ✅ Collect, preprocess, and analyze large datasets. ✅ Develop predictive models and machine learning algorithms . ✅ Perform exploratory data analysis (EDA) to extract meaningful insights. ✅ Create data visualizations and dashboards for effective communication of findings. ✅ Collaborate with cross-functional teams to deliver data-driven solutions . Requirements 🎓 Enrolled in or graduate of a program in Data Science, Computer Science, Statistics, or a related field . 🐍 Proficiency in Python for data analysis and modeling. 🧠 Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) . 📊 Familiarity with data visualization tools (Tableau, Power BI, or Matplotlib) . 🧐 Strong analytical and problem-solving skills. 🗣 Excellent communication and teamwork abilities. Stipend & Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based). ✔ Hands-on experience in data science projects . ✔ Certificate of Internship & Letter of Recommendation . ✔ Opportunity to build a strong portfolio of data science models and applications. ✔ Potential for full-time employment based on performance. How to Apply 📩 Submit your resume and a cover letter with the subject line "Data Science Intern Application." 📅 Deadline: 24th June 2025 Equal Opportunity WebBoost Solutions by UM is committed to fostering an inclusive and diverse environment and encourages applications from all backgrounds. Let me know if you need any modifications! 🚀

Machine Learning Intern (Paid) Company: WebBoost Solutions by UM Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with a Certificate of Internship Application Deadline: 24th June 2025 About WebBoost Solutions by UM WebBoost Solutions by UM provides students and graduates with hands-on learning and career growth opportunities in machine learning and data science . Role Overview As a Machine Learning Intern , you’ll work on real-world projects , gaining practical experience in machine learning and data analysis . Responsibilities ✅ Design, test, and optimize machine learning models. ✅ Analyze and preprocess datasets. ✅ Develop algorithms and predictive models for various applications. ✅ Use tools like TensorFlow, PyTorch, and Scikit-learn . ✅ Document findings and create reports to present insights. Requirements 🎓 Enrolled in or graduate of a relevant program (AI, ML, Data Science, Computer Science, or related field) 📊 Knowledge of machine learning concepts and algorithms . 🐍 Proficiency in Python or R (preferred). 🤝 Strong analytical and teamwork skills . Benefits 💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) ✔ Practical machine learning experience . ✔ Internship Certificate & Letter of Recommendation . ✔ Build your portfolio with real-world projects . How to Apply 📩 Submit your application by 24th June 2025 with the subject: "Machine Learning Intern Application" . Equal Opportunity WebBoost Solutions by UM is an equal opportunity employer , welcoming candidates from all backgrounds .

About the Company Zetheta Algorithms Private Limited (www.zetheta.com) is a FinTech start-up which has been recently set up and is developing innovative AI tools. https://www.instagram.com/zetheta.official/ About the Role We are seeking a talented and motivated student intern to develop AI models from scratch within a 2 month timeframe. This is an extraordinary opportunity for a self-driven, technically skilled student to build a complete enterprise-grade system that incorporates cutting-edge AI technologies including deep learning. Responsibilities Design and implement the complete AI Models following provided specifications Develop both frontend and backend components of the platform Create and integrate AI modules Design and optimize database schema and queries Ensure system security, especially for sensitive identity verification data Deploy the solution using zero-cost cloud services Document code, APIs, and system architecture Complete the entire project within the 2 month timeline Qualifications A student who is currently pursuing or recently completed a degree in Computer Science, AI/ML, or related field. Required Skills Strong programming skills in Python and JavaScript Experience with React.js for frontend development Knowledge of FastAPI or similar Python web frameworks Familiarity with database design and SQL (particularly PostgreSQL) Understanding of basic machine learning concepts Self-motivated with ability to work independently Preferred Skills Sound knowledge of AI/ML libraries (TensorFlow, Keras, HuggingFace Transformers) Familiarity with computer vision techniques using OpenCV Knowledge of natural language processing concepts Sound knowledge of facial recognition or emotion detection systems Understanding of identity verification methodologies Docker containerization experience Prior work with cloud deployment (AWS) Who Should Apply? Student or fresh graduate from any academic discipline. Strong analytical and problem-solving skills. Basic knowledge of Microsoft Office. Willingness to self-learn and work in a fast-paced environment. Internship Details Duration: Self paced, options for 1,2,3,4 or 6 months. Type: Unpaid

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 Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title: AI - ML Developer Key Skills: image analytics, computer vision, and visual data processing, Python, Gen AI Job Locations: Hyderabad Experience: 6 – 10 Years Budget: 16 – 20 LPA Education Qualification : Any Graduation Work Mode: Hybrid Employment Type: Contract Notice Period: Immediate - 15 Days Interview Mode: 2 Rounds of Technical Interview + Including Client round Job Description: Key Focus Areas: · Image Analytics & Computer Vision (CV) · Machine Learning & Deep Learning · Predictive Analytics & Optimization · Generative AI (GenAI) & NLP (as secondary skills) Primary Responsibilities: · Lead and contribute to projects centered around image analytics, computer vision, and visual data processing. · Develop and deploy CV models for tasks such as object detection, image classification, pattern recognition, and anomaly detection. · Apply deep learning frameworks (e.g., TensorFlow, Keras) to solve complex visual data challenges. · Integrate multi-sensor data fusion and multivariate analysis for industrial applications. · Collaborate with cross-functional teams to implement predictive maintenance, fault detection, and process monitoring solutions using visual and sensor data. Mandatory Skills: · Strong hands-on experience in Computer Vision and Image Analytics. · Proficiency in Python and familiarity with AI/ML libraries such as OpenCV, TensorFlow, Keras, scikit-learn, and Matplotlib. · Solid understanding of machine learning techniques: classification, regression, clustering, anomaly detection, etc. · Experience with deep learning architectures (CNNs, autoencoders, etc.) for image-based applications. · Familiarity with Generative AI and LLMs is a plus. Desirable Skills: · Knowledge of optimization techniques and simulation modeling. · Domain experience in Oil & Gas, Desalination, Motors & Pumps, or Industrial Systems. Educational & Professional Background: · Bachelor’s or Master’s degree in Engineering (Mechanical, Electrical, Electronics, Chemical preferred). · Master’s in Industrial/Manufacturing/Production Engineering is a strong plus. · Demonstrated experience in solving real-world industrial problems using data-driven approaches. Soft Skills & Attributes: · Strong analytical and problem-solving skills. · Ability to work independently and manage multiple projects. · Excellent communication and stakeholder engagement skills. · Proven thought leadership and innovation in AI/ML applications. Interested Candidates please share your CV to pnomula@people-prime.com

LTIMIndtree is seeking a AI Assurance Architect for our Quality Engineering team in Bangalore. AI Expertise In-depth understanding of artificial intelligence, machine learning, and deep learning concepts. Knowledge of various AI frameworks, libraries, and tools (e.g., TensorFlow, PyTorch). Testing Methodologies Proficiency in designing and implementing testing methodologies specific to AI models and algorithms. Experience in testing different types of AI models, including supervised and unsupervised learning. Data Quality Assurance Expertise in assessing and ensuring the quality of training data for AI models. Familiarity with data preprocessing and cleaning techniques to enhance model performance. Automation and Tooling Strong skills in developing automation scripts using any of the Open-source tools for AI applications. Familiarity with specialized AI testing tools and frameworks. Performance and Scalability Testing Experience in assessing and optimizing the performance and scalability of AI models. Ability to simulate various scenarios to evaluate AI model behaviour under different conditions. Ethical AI Practices Knowledge of ethical considerations in AI and the ability to implement testing practices that align with responsible AI principles. Collaboration Effective collaboration with senior stakeholders, cross-functional teams. Regulatory Compliance Awareness of regulations and standards related to AI, ensuring testing practices comply with relevant guidelines. Problem-Solving Skills Strong analytical and problem-solving abilities to identify and address challenges in AI testing. Team Building Experience of building technology testing capability from scratch. LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, dis-ability or any other characteristic protected by applicable law.

About The Role Grade Level (for internal use): 13 The Role: Foreseer AI –Director The Team: The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Collaborate closely with business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Maintain comprehensive documentation of platform, processes and procedures for reference and knowledge sharing. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science, AI/ML, Data Science or related field. Overall experience should be 15+ Years. 10+ years hands on experience in AI/ML, Data Science or Technology Strategy 5+ years of experience in leadership roles. Strong understanding of AI technologies (e.g. Genrative AI, NLP, Computer Vision) and their business applications. Background in Consulting or Corporate strategy with focus on AI. Familiarity with AI platforms (e.g., TensorFlow, PyTorch) and cloud AI services (AWS, GCP, Azure). Hands on experience in leveraging language models for information retrieval. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Kubernetes, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice To Have Skills Distributed systems programming. Hands on experience in Java and Front End technologies. Hands on experience with Elastic/Redis search. Experience in Agile and Scrum methodologies What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf 202 - Middle Professional (EEO Job Group) (inactive), 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group) Job ID: 315907 Posted On: 2025-06-23 Location: Gurgaon, Haryana, India

🌐 We're Hiring: Advanced AI Researchers & Engineers | Join JTW's Innovation Team At JohnTuringWatson Software Solutions Pvt Ltd (JTW) , we're building the future of AI—and we're looking for exceptional talent to help lead it. Our AI Research Lab is actively working on cutting-edge solutions in Agentic AI , Edge Intelligence , and Quantum Computing , and we’re expanding our team. If you're passionate about solving real-world problems using AI, Machine Learning , and next-gen computation models , we’d love to connect with you. Experience Level: Experience level is 0-5 years /freshers, with a a strong GIT repository can apply for this job. 🔍 We’re Looking for Talent With Expertise in One or More of the Following Areas: Agentic AI – Designing autonomous, reasoning-driven systems Edge AI – Building low-latency, on-device inference models Quantum Computing – Practical experience with IBM Quantum or Azure Quantum Quantum Development Frameworks – Proficiency in Qiskit , Q# , or Cirq Python (required) for ML/AI pipelines and quantum programming Deep Learning – Using TensorFlow, PyTorch, or Hugging Face frameworks NLP and LLMs – Experience with transformer architectures , prompt engineering, or fine-tuning models ML Ops – Knowledge in model deployment, performance tuning , and monitoring Strong foundations in Mathematics, Probability, Linear Algebra , and Statistics 🧠 Ideal Candidate Profile: Solid understanding of AI/ML concepts , including supervised, unsupervised, and reinforcement learning Ability to research, prototype, and scale AI models into production Comfortable working in a cross-functional R&D environment Prior experience in contributing to AI publications, open-source projects, or patents (a plus) 🚀 Why Join JTW? Work on industry-defining projects with an elite research team Exposure to emerging domains like Agentic AI , Edge-native models , and Quantum-AI fusion A collaborative, innovation-first culture with global delivery reach Access to dedicated infrastructure, including AI model labs and quantum simulators 📩 Ready to make an impact? Send your resume to jobs@johnturingwatson.ai Explore more at www.johnturingwatson.ai

TRIARQ Health is a Physician Practice Services company that partners with doctors to run modern patient-centered practices so they can be rewarded for delivering high-value care. TRIARQ’s Physician-led partnerships simplify practices’ transition to value-based care by combining our proprietary, cloud-based practice, care management technology platform, and patient engagement services to help doctors focus on better outcomes. Experience: 5+ years Industry Type: IT-Software, Software Services Location: Pune, & Nashik Employment Type: Full-Time, Permanent Your Responsibilities Include We are looking for an experienced Machine Learning Engineer to lead the development and deployment of ML models that power intelligent products and insights. You will collaborate with teams across Data Science, Engineering, and Product to build solutions that are scalable, efficient, and impactful. Candidates with exposure to the healthcare domain are encouraged to apply, although this is not a mandatory requirement . Key Responsibilities Architect, build, and maintain end-to-end ML systems — from data pipelines to model deployment. Develop and optimize machine learning models for use cases such as classification, prediction, recommendation, NLP, or computer vision. Implement MLOps best practices for model training, tracking, deployment, and monitoring. Collaborate with data scientists and domain experts to productionize prototypes and research. Evaluate and monitor model performance; ensure robustness, fairness, and explainability. Document architecture and processes; contribute to knowledge sharing and code reviews. (Preferred) Work with EHR data, claims data, clinical notes, or healthcare interoperability formats like HL7 or FHIR, if applicable. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related discipline. 5+ years of hands-on experience in ML engineering or applied data science. Strong command of Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Experience deploying ML models in production using containerization (Docker, Kubernetes) and cloud platforms (AWS/GCP/Azure). Familiarity with MLOps tools like MLflow, DVC, or Kubeflow. Proficient in building ETL/ELT pipelines and handling large-scale datasets. Strong understanding of statistical methods, model evaluation metrics, and optimization techniques. Good software engineering practices (version control, testing, CI/CD). Preferred Qualifications: Exposure to healthcare datasets such as medical claims, EHR/EMR, HL7, FHIR, or medical coding (CPT, ICD-10). Experience with NLP models applied to clinical documentation or unstructured medical data. Understanding of HIPAA compliance, data anonymization, and PHI handling. Contributions to open-source ML projects or peer-reviewed publications. Experience working in regulated industries or mission-critical environments.

TRIARQ Health is a Physician Practice Services company that partners with doctors to run modern patient-centered practices so they can be rewarded for delivering high-value care. TRIARQ’s Physician-led partnerships simplify practices’ transition to value-based care by combining our proprietary, cloud-based practice, care management technology platform, and patient engagement services to help doctors focus on better outcomes. Experience: 5+ years Industry Type: IT-Software, Software Services Location: Pune, & Nashik Employment Type: Full-Time, Permanent Your Responsibilities Include We are looking for an experienced Machine Learning Engineer to lead the development and deployment of ML models that power intelligent products and insights. You will collaborate with teams across Data Science, Engineering, and Product to build solutions that are scalable, efficient, and impactful. Candidates with exposure to the healthcare domain are encouraged to apply, although this is not a mandatory requirement . Key Responsibilities Architect, build, and maintain end-to-end ML systems — from data pipelines to model deployment. Develop and optimize machine learning models for use cases such as classification, prediction, recommendation, NLP, or computer vision. Implement MLOps best practices for model training, tracking, deployment, and monitoring. Collaborate with data scientists and domain experts to productionize prototypes and research. Evaluate and monitor model performance; ensure robustness, fairness, and explainability. Document architecture and processes; contribute to knowledge sharing and code reviews. (Preferred) Work with EHR data, claims data, clinical notes, or healthcare interoperability formats like HL7 or FHIR, if applicable. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or related discipline. 5+ years of hands-on experience in ML engineering or applied data science. Strong command of Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost). Experience deploying ML models in production using containerization (Docker, Kubernetes) and cloud platforms (AWS/GCP/Azure). Familiarity with MLOps tools like MLflow, DVC, or Kubeflow. Proficient in building ETL/ELT pipelines and handling large-scale datasets. Strong understanding of statistical methods, model evaluation metrics, and optimization techniques. Good software engineering practices (version control, testing, CI/CD). Preferred Qualifications: Exposure to healthcare datasets such as medical claims, EHR/EMR, HL7, FHIR, or medical coding (CPT, ICD-10). Experience with NLP models applied to clinical documentation or unstructured medical data. Understanding of HIPAA compliance, data anonymization, and PHI handling. Contributions to open-source ML projects or peer-reviewed publications. Experience working in regulated industries or mission-critical environments.

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 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).

Foreseer AI –Director Gurgaon, India; Hyderabad, India Information Technology 315907 Job Description 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 Company: Our client organization's mission is to empower people to participate in global conversations through communities. They are responsible for the consumer-facing application on the Web, Android, and iOS platform. In this role, you'll work with a specific team within this organization to drive related technical & product strategy, operations, architecture, and execution for one of the largest sites in the world. Poster Experience specifically focuses on the user journey, which is the main source of user content for the product. They aim to make it easier, faster, and smarter to create and participate in conversations, and we drive several core product metrics for the entire ecosystem. Job Description: Job Title: LLM Machine Learning Engineer Location: Pan India Experience: 6+ yrs. Employment Type: Contract to hire Work Mode: Remote Notice Period: - Immediate joiners Roles and Responsibilities: Proven experience with JAX and NumPy in real-world ML projects Strong understanding of TensorFlow, including internals and model structure Experience with migrating models between frameworks and ensuring parity Solid grasp of ML training workflows, loop mechanics, and evaluation metrics Strong Python programming skills and clean, modular code practices Familiarity with ML experiment tracking and reproducibility tools (e.g., MLFlow, Weights & Biases)

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 Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters Software Engineer Intern Noida, India What We’re Looking For: Actively pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline Programming foundation in languages such as Python, Java, C++ , or equivalent Good understanding of computer science fundamentals , including algorithms and data structures Hands-on experience with Git and familiarity with version control workflows A passion for solving complex problems with creativity and persistence Strong communication and collaboration skills; thrives in team-driven environments A growth-oriented mindset, with the curiosity and drive to thrive in a fast-paced, startup atmosphere Bonus Skills That’ll Help You Stand Out: Exposure to AI and machine learning frameworks like TensorFlow or PyTorch Experience with front-end technologies such as HTML, CSS, and JavaScript Understanding of cloud services like AWS, Azure, or Google Cloud Internship or hands-on project experience in software development Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

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 3 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, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential as you contribute to innovative projects that push the boundaries of AI capabilities. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Collaborate with team members to brainstorm and develop innovative AI solutions. - Conduct research to stay updated on the latest advancements in AI and machine learning technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to work with data preprocessing and feature engineering for model training. Additional Information: - The candidate should have minimum 3 years of experience in Large Language Models. - This position is based at our Chennai office. - A 15 years full time education is required. 15 years full time education

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 collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying this knowledge to enhance the functionality and efficiency of the applications you develop. 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. - Mentor junior team members to enhance their skills and knowledge in AI and machine learning. - Continuously evaluate and improve existing AI models and systems to ensure optimal performance. 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 and tools. - 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 Bengaluru office. - A 15 years full time education is required. 15 years full time education

Responsibilities Manage Data : Extract, clean, and structure both structured and unstructured data. Coordinate Pipelines : Utilize tools such as Airflow, Step Functions, or Azure Data Factory to orchestrate data workflows. Deploy Models : Develop, fine-tune, and deploy models using platforms like SageMaker, Azure ML, or Vertex AI. Scale Solutions : Leverage Spark or Databricks to handle large-scale data processing tasks. Automate Processes : Implement automation using tools like Docker, Kubernetes, CI/CD pipelines, MLFlow, Seldon, and Kubeflow. Collaborate Effectively : Work alongside engineers, architects, and business stakeholders to address and resolve real-world problems efficiently. Requirements 3+ years of hands-on experience in MLOps (4-5 years of overall software development experience). Extensive experience with at least one major cloud provider (AWS, Azure, or GCP). Proficiency in using Databricks, Spark, Python, SQL, TensorFlow, PyTorch, and Scikit-learn. Expertise in debugging Kubernetes and creating efficient Dockerfiles. Experience in prototyping with open-source tools and scaling solutions effectively. Strong analytical skills, humility, and a proactive approach to problem-solving. Experience with SageMaker, Azure ML, or Vertex AI in a production environment. Commitment to writing clean code, creating clear documentation, and maintaining concise pull requests. (ref:hirist.tech)

Who are we? Securin is a leading product based company backed up by services in the cybersecurity domain, helping hundreds of customers world wide gain resilience against emerging threats. Our products are powered by accurate vulnerability intelligence, human expertise, and automation, enabling enterprises to make crucial security decisions to manage their expanding attack surfaces. Securin is built on the foundation of in-depth penetration testing and vulnerability research to help organizations continuously improve their security posture. Our team of intelligence experts is one of the best in the industry and our comprehensive portfolio of tech-enabled solutions include Attack Surface Management (ASM), Vulnerability Intelligence (VI), Penetration Testing, and Vulnerability Management. These solutions allow our customers to gain complete visibility of their attack surfaces, stay informed of the latest security threats. Also, trends, and proactively address risks. What do we promise? We are a highly effective tech-enabled cybersecurity solutions provider and promise continual security posture improvement, enhanced attack surface visibility, and proactive prioritised remediation for every one of our client businesses. What do we deliver? Securin helps organizations to identify and remediate the most dangerous exposures, vulnerabilities, and risks in their environment. We deliver predictive and definitive intelligence and facilitate proactive remediation to help organizations stay a step ahead of attackers. By utilising our cybersecurity solutions, our clients can have a proactive and holistic view of their security posture and protect their assets from even the most advanced and dynamic attacks. Securin has been recognized by national and international organizations for its role in accelerating innovation in offensive and proactive security. Our combination of domain expertise, cutting-edge technology, and advanced tech-enabled cybersecurity solutions has made Securin a leader in the industry. Job Location : IIT Madras Research Park, A block, Third floor, 32, Tharamani, Chennai, Tamil Nadu 600113 Work Mode: Hybrid, Work from office - Chennai, 2 days a week Compensation : Up to 30LPA Job Title: Senior Software Engineer (With Machine Learning Experience) Job Description: We are seeking a skilled and motivated Python Engineer with 5+ years of professional experience , including at least 2 years of hands-on experience in Machine Learning (ML) . The ideal candidate will possess strong Python development skills, a deep understanding of object-oriented programming (OOP), and practical experience with NoSQL databases, especially MongoDB. Familiarity with cloud platforms such as AWS, GCP, or Azure is also required. This role is perfect for a developer who is not only proficient in backend engineering but also enthusiastic about applying ML concepts in real-world applications. You’ll work closely with cross-functional teams to develop and optimize scalable, reliable, and maintainable Python-based solutions. Responsibilities : Design, develop, and maintain Python applications with a focus on performance and scalability. Design systems with non-linear time complexity and efficient space usage across compute and storage. Ensure stateless, idempotent request processing with no in-memory state. Model schemas for future evolution, supporting increasing data volume and structural changes. Build and operate cloud-based SaaS applications with a focus on production reliability. Design includes not only functional code but also integrated monitoring, alerting, and health checks to ensure observability and operational excellence in a multi-tenant environment. Apply object-oriented programming (OOP) principles to craft reusable, modular code. Develop, implement, and optimize machine learning models in production environments. Leverage NoSQL databases like MongoDB for efficient data storage and retrieval. Work with cloud platforms (AWS, GCP, Azure) for application deployment and data services. Write and maintain robust unit and integration tests using test-driven development (TDD) practices. Participate in the full software development lifecycle — from requirements gathering to deployment. Collaborate with cross-functional teams, participate in Agile ceremonies, and contribute to technical discussions. Engage in code reviews and mentor junior team members where appropriate. Stay updated with emerging trends in Python development, machine learning, and software engineering best practices. Requirements: Bachelor’s degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in Python development. At least 2 years of hands-on experience with Machine Learning (model development, evaluation, and deployment). Strong understanding of OOP principles and real-world software design. Experience working with NoSQL databases, particularly MongoDB. Familiarity with TDD practices and writing unit tests. Practical experience with cloud platforms (AWS, GCP, or Azure). Proficiency with version control systems such as Git. Excellent problem-solving and debugging skills. Strong communication and teamwork abilities. A proactive, self-motivated attitude with a passion for continuous learning. Preferred Qualifications: Hands-on experience in AI concepts including LLMs, prompt engineering, or traditional AI. Strong grasp of supervised, unsupervised, and reinforcement learning with practical experience in key ML algorithms (e.g., regression, SVMs, neural networks, clustering). Proficient with ML frameworks like scikit-learn, TensorFlow, PyTorch, and XGBoost. Solid foundation in math (linear algebra, calculus, probability, statistics) and understanding of optimization and loss functions. Experience with model serving using Flask, FastAPI, or TensorFlow Serving. Experience with Python ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar. Knowledge of Agile/Scrum methodologies and collaborative development workflows. What We Offer: A collaborative and innovative team environment. Opportunities to work on AI/ML-powered products and projects. Ongoing learning and career development opportunities. A dynamic culture focused on growth, curiosity, and problem-solving. If you're a Python developer with a strong foundation and a growing passion for machine learning, we’d love to hear from you! Why should we connect? We are a bunch of passionate cybersecurity professionals who are building a culture of security. Today, cybersecurity is no more a luxury but a necessity with a global market value of $150 billion. At Securin, we live by a people-first approach. We firmly believe that our employees should enjoy what they do. For our employees, we provide a hybrid work environment with competitive best-in-industry pay, while providing them with an environment to learn, thrive, and grow. Our hybrid working environment allows employees to work from the comfort of their homes or the office if they choose to. For the right candidate, this will feel like your second home. If you are passionate about cybersecurity just as we are, we would love to connect and share ideas.