1832 Keras Jobs - Page 10

You are as unique as your background, experience and point of view. Here, you’ll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: Data Scientist Are you ready to shine? At Sun Life, we empower you to be your most brilliant self. Who we are? Sun Life is a leading financial services company with history of 150+ years that helps our clients achieve lifetime financial security and live healthier lives. We serve millions in Canada, the U.S., Asia, the U.K., and other parts of the world. We have a network of Sun Life advisors, third-party partners, and other distributors. Through them, we’re helping set our clients free to live their lives their way, from now through retirement. To do this, we offer a broad range of protection and wealth products and services to individuals, businesses, and institutions, including: Insurance. Life, health, wellness, disability, critical illness, stop-loss, and long-term care insurance. Investments. Mutual funds, segregated funds, annuities, and guaranteed investment products Advice. Financial planning and retirement planning services Asset management. Pooled funds, institutional portfolios, and pension funds Sun Life is a leading financial services company that helps our clients achieve lifetime financial security and live healthier lives, with strong insurance, asset management, investments, and financial advice portfolios. At Sun Life, our asset management business draws on the talent and experience of professionals from around the globe. Sun Life Global Solutions (SLGS) Established in the Philippines in 1991 and in India in 2006, Sun Life Global Solutions, (formerly Asia Service Centers), a microcosm of Sun Life, is poised to harness the regions’ potential in a significant way - from India and the Philippines to the world. We are architecting and executing a BOLDER vision: being a Digital and Innovation Hub, shaping the Business, driving Transformation and superior Client experience by providing expert Technology, Business and Knowledge Services and advanced Solutions. We help our clients achieve lifetime financial security and live healthier lives – our core purpose and mission. We are constantly expanding our strength in Information technology and are looking for fresh talents who can bring ideas and values aligning with our Digital strategy. Our Client Impact strategy is motivated by the need to create an inclusive culture, empowered by highly engaged people. We are entering a new world that focuses on doing purpose driven work. The kind that fills your day with excitement and determination, because when you love what you do, it never feels like work. We want to create an environment where you feel empowered to act and are surrounded by people who challenge you, support you and inspire you to become the best version of yourself. As an employer, we not only want to attract top talent, but we want you to have the best Sun Life Experience. We strive to Shine Together, Make Life Brighter & Shape the Future! Responsibility/Skillsets (Must) Understand and design analytical solutions to Business problems leveraging Data science. Should be able to understand and gather the requirement from Stakeholders. Propose and execute the solution and present the deliverables to Stakeholders. Manage and optimize the deliverables. Mentor and Train new team members. Develop POCs to enhance team’s capability. Skillsets (Must) Strong understanding of Math, Statistics and the theoretical foundations of Statistical & Machine Learning, Parametric and Non-parametric models. Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Use various statistical techniques and ML methods to perform predictive modeling/classification for problems around client, distribution, sales, client profiles, segmentation and provide relevant & actionable recommendations/insights for the business. Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Stronghold on Visualization tool libraries in Python like matplotlib, seaborn. Experience with cloud computing infrastructure like Azure, Cosmos DB, PowerBI. Able to develop, test and deploy models on Cloud/Web. Experience in Designing and Deploying Deep Learning Solutions Excellent knowledge of Deep Learning Architectures/Convolutional Neural Networks Excellent knowledge of Supervised Learning, Adversarial Learning Excellent Python Coding Skills Robust working knowledge with deep learning frameworks (like Tensor flow, Keras, PyTorch) Skillsets (Good To Have) BFSI Domain. Experience on Textual Analytics, Web Crawlers, Recommendation Engines Understanding of MLOps Qualifications BE/B. Tech. /MBA/M.Stat./M.Sc. or equivalent degree in Quant. from reputed institute. 5-10 years of relevant experience. Soft Skills Excellent organizational skills and ability to prioritize wide range of tasks Demonstrated initiative and creativity - ability to influence (add value) Strong interpersonal, communication, motivational, organizational and planning skills Job Category: Advanced Analytics Posting End Date: 29/09/2025

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Sr. Data Scientist – Job description Meet our team: The Data & Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system. Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. Roles & Responsibilities: The role will focus on building out machine learning solutions for WBD’s Data and Analytics organization. Primary focus will be on unlocking machine learning opportunities and building foundational machine learning training and inference pipelines at scale. You have a deep understanding of different types of data, metrics and KPIs. You will lead by example and define the best practices, will set high standards for the entire team and for the rest of the organization. You have a successful track record for ambitious projects across cross-functional teams. You are passionate and results oriented. You strive for technical excellence and are very hands-on. Your co-workers love working with you. You have built respect in your career through concrete accomplishments. Build cutting-edge capabilities utilizing machine learning and data science (e.g., large language models, computer vision models, advanced ad & content targeting, etc.) Lead data science and model development techniques for the team. Leverage industry best practices and tools to continually improve teams' ability to build machine learning models. What to Bring: BA/BS in statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus 5+ years of experience building data science/statistical models (Multivariate regression, Time Series Model, XGBoost, Causal inference etc.) Strong understanding of modern ML approaches (GBDT, CNN, LSTM, GRU, HRNN, transformers, siamese neural networks, variational auto-encoders, ...). Experience with Deep Learning, NLP, LLMs, Reinforcement Learning, Causal Inference. Good knowledge of ML tools and frameworks (TensorFlow, Keras, pyTorch, scikit-learn, Spark,...). Proficiency in programming languages such as Python or R. Familiarity with real-world ML systems (configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, monitoring). Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow. Strong interpersonal skills with the ability to motivate, collaborate and influence Ability to deliver on multiple projects and meet tight deadlines Ability to effectively influence and communicate cross-functionally with all level How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Responsibilities Develop and expand our core data platform in MS Azure, Fabric building robust data infrastructure and scalable solutions. Enhance datasets and transformation toolsets on the MS Azure platform, leveraging distributed processing frameworks to modernize processes and expand the codebase Design and maintain ETL pipelines to ensure data is transformed, cleaned, and standardized for business use. Collaborate with cross-functional teams to deliver high-quality data solutions, contributing to both UI and backend development while translating UX/UI designs into functional interfaces. Develop scripts for building, deploying, and maintaining data systems, while utilizing tools for data exploration, analysis, and visualization throughout the project lifecycle. Utilize SQL and NoSQL databases for effective data management and support Agile practices with tools like Jira and GitHub. Contribute to technology standards and best practices in data warehousing and modeling, ensuring alignment with overall data strategy. Lead and motivate teams through periods of change, fostering a collaborative and innovative work environment. Skills and Competencies 3-6 years of cloud-based data engineering experience, with expertise in Microsoft Azure and other cloud platforms. Proficient in SQL and experienced with NoSQL databases, message queues, and streaming platforms like Kafka. Strong knowledge of Python and big data processing using PySpark, along with experience in CI/CD pipelines (Jenkins, GitHub, Terraform). Familiar with machine learning libraries such as TensorFlow and Keras, and skilled in data visualization tools like Power BI/Fabric and Matplotlib. Expertise in data wrangling, including cleaning, preprocessing, and transformation, with a solid foundation in statistics and probability. Excellent communication skills for engaging with technical and non-technical audiences across all organizational levels. Experience in UI development, translating UX/UI designs into code, data warehousing concepts, API development and integration, and workflow orchestration tools is desired. Education Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related field Relevant certifications in data science and machine learning are a plus About The Team Our Technology Services Group (TSG) Team is responsible for delivering Innovative, data driven tech solutions. We build solutions that power analytics, enable machine learning, and provide critical insights across the organization. By joining our team, you will be part of exciting work in building scalable, next-generation data solutions that directly impact business strategy. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Skills: Should have depth knowledge of Python, Data Analytics,Machine Learning,Deep Learning,R and NLP Text etc. Candidate should have Good Communication Skills Should be able to handle End to End Training - Course Content Preparation, Material Preparation, Interview Questions, Mock Interviews, Live Projects Explanation etc. Should have experience in giving training through online Platform i.e Skype,Webinars, GoTo Meeting etc. Strong background in one or more of: Deep Learning, Machine Learning, Natural Language Processing, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence Strong experience using one of the following open-source frameworks: TensorFlow, MXNet, Theano, Keras, Jupyter and Caffe Strong hands-on coding expertise with C/C , Python, Scala, Lua, MATLAB, or any proficient AI language of choice A mathematical, statistical, and probability inclination and deep understanding of AI concepts Job Type: Full-time Pay: ₹25,000.00 - ₹45,000.00 per month Education: Bachelor's (Preferred)

Job Summary We are seeking a qualified AI/ML Trainer to join our institution, primarily focused on teaching B.Tech, MCA, and M.Sc-IT courses. This position is based in Bhubaneshwar. The trainer will deliver comprehensive lectures on Artificial Intelligence, Machine Learning, Deep Learning, and Data Science, equipping students with the theoretical foundation and practical skills necessary for industry readiness. Responsibilities Teaching and Lecturing: Deliver engaging and structured lectures on AI, ML, and related areas to B.Tech, MCA, and M.Sc-IT students. Teach topics such as Machine Learning Algorithms, Supervised/Unsupervised Learning, Deep Learning, Neural Networks, Computer Vision, Natural Language Processing (NLP), and AI model deployment. Ensure students gain both conceptual clarity and hands-on experience using tools like Python, TensorFlow, Keras, and Scikit-learn. Continuously update teaching content to reflect industry trends and technological advancements. Develop course materials including lecture notes, practical assignments, mini-projects, and assessments. Create a collaborative and project-based learning environment to enhance student understanding. Research and Innovation: Conduct applied research in AI/ML and contribute to academic or industry publications. Stay updated with the latest in AI research, tools, and open-source frameworks. Support and guide students in AI/ML-based research and innovation projects. Mentorship: Provide mentorship to students working on AI/ML internships, final year projects, or competitions (e.g., Kaggle, Hackathons). Help students apply algorithms to real-world datasets and problem domains. Collaboration: Collaborate with academic peers and industry experts to strengthen the AI/ML curriculum and delivery. Establish connections with AI/ML startups or companies for student internships, guest lectures, and collaborative projects. Professional Development: Participate in AI/ML workshops, webinars, and conferences. Continuously upgrade your technical skills to match the evolving AI landscape. Qualifications Master’s degree (M.Tech/M.Sc/MCA – with 6 Months to 1 Year experience) in Artificial Intelligence, Computer Science, Data Science, or a related field. Strong background in Machine Learning, Deep Learning, and Python-based AI tools. Teaching or corporate training experience is highly desirable. Skills and Competencies Expertise in AI/ML frameworks such as TensorFlow, Keras, PyTorch, Scikit-learn. Strong command over Python, NumPy, Pandas, and Jupyter Notebooks. Ability to explain complex algorithms in a simple, practical manner. Excellent communication and presentation skills. Analytical thinking and problem-solving abilities. A passion for teaching and mentoring future AI professionals. Location Bhubaneshwar Benefits Competitive salary and benefits package. A dynamic and innovative educational environment. The opportunity to shape future AI/ML professionals. Involvement in real-world problem solving and research-driven teaching.

Job Title: AI Developer (Office-Based, Ahmedabad, India) Salary: ₹10,00,000 – ₹18,00,000 per annum (based on experience) Job Type: Full-time | Permanent | Office-based Location: Ahmedabad, Gujarat, India Join a Growing International Tech Team in Ahmedabad! We are an innovative UK-headquartered vehicle transport company with a thriving development hub based in Ahmedabad . Our India team includes mobile app developers, web developers, graphic designers, and Flutter experts—all collaborating on cutting-edge software and systems that power real-time transport operations across the UK. We are now urgently hiring an AI Developer to join our dynamic team and lead AI integrations across mobile apps, web platforms, and enterprise software solutions. About the Role: As our AI Developer , you will: Design, develop, and integrate AI/ML models into mobile applications, web platforms, and operational software systems. Work closely with the UK product team and the Ahmedabad-based developers to bring AI-driven features to life. Use tools like Python, TensorFlow, PyTorch, and NLP frameworks to build intelligent systems. Identify opportunities for automation and smart solutions within our tech ecosystem. Contribute to innovation within a fast-paced, problem-solving culture. Key Requirements: 2+ years of hands-on experience in AI/ML development. Strong Python skills with experience in frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. Solid understanding of neural networks, NLP, computer vision, or recommendation systems. Experience integrating AI into mobile or web applications. Bachelor's or Master’s in Computer Science, AI, Data Science, or related field. Excellent problem-solving skills and ability to work collaboratively in a team environment. Why Join Us? Competitive Salary: ₹10L–₹18L annually (depending on experience) Stable long-terms UK-backed project work Work with a creative, skilled team of designers & developers Great growth opportunities within a global company Modern office setup in the heart of Ahmedabad Ready to Apply? We are interviewing immediately for this role and looking to onboard the right candidate ASAP . If you’re passionate about AI and want to work on real-world systems making a real-world impact - we want to hear from you . Apply now with your updated CV and a short cover note explaining your AI experience. Job Types: Full-time, Permanent Pay: ₹1,000,000.00 - ₹1,800,000.00 per year Location Type: In-person Schedule: Day shift Monday to Friday Work Location: In person Application Deadline: 31/07/2025

Location: Indore (Work from Office) Job Type: Full-Time About the Role: Engineer Sahab Education is looking for a passionate and knowledgeable AI/ML Mentor with 1 to 3 years of industry or teaching experience to join our growing team in Indore . This is a full-time, in-office role where you will guide and mentor students, helping them build strong foundations in Artificial Intelligence and Machine Learning through hands-on learning, real-world projects, and industry-relevant tools. Key Responsibilities: Deliver engaging and interactive sessions on AI/ML concepts , including Python for ML, Data Preprocessing, Supervised & Unsupervised Learning, Deep Learning, NLP, Computer Vision, and more. Guide students in building capstone projects , participating in hackathons, and solving real-world problems. Provide 1-on-1 mentorship and doubt-solving support to help learners strengthen their understanding. Stay updated with the latest AI/ML trends and continuously improve the course material. Conduct regular assessments, feedback sessions, and progress reviews . Collaborate with curriculum designers and the academic team to enhance learning outcomes. Requirements: Bachelor's or Master’s degree in Computer Science, AI/ML, Data Science , or related field. 1–3 years of experience in AI/ML development or teaching/training roles. Proficient in Python , machine learning libraries like Scikit-learn, TensorFlow, Keras, Pandas, NumPy , etc. Strong communication skills and passion for mentoring students. Experience in building and deploying ML models is a plus. What We Offer: A collaborative and student-focused work environment. Opportunity to impact the careers of future tech professionals. Access to continuous learning and upskilling resources. Competitive salary with growth opportunities. If you’re passionate about AI/ML and love sharing knowledge, we’d love to hear from you! Apply now and become a part of Engineer Sahab Education’s mission to shape the next generation of AI/ML professionals. Job Type: Full-time Pay: ₹200,000.00 - ₹400,000.00 per year Supplemental Pay: Performance bonus Shift allowance Work Location: In person

Job Title: AI/ML Trainer Company: CBitss Technologies Location: Sec 34A, Chd Experience Required: Minimum 2 Years Joining: Immediate Note: Freshers/College passout are not eligible for this role. Job Description: CBitss – A Govt. Recognised Institute in Chandigarh is looking for a passionate and experienced AI/ML Trainer to join our team immediately. The ideal candidate will have a strong background in Artificial Intelligence and Machine Learning, with a proven track record of training professionals or students in these domains. This role requires both technical expertise and excellent communication skills to deliver hands-on, engaging training sessions. Key Responsibilities: Deliver classroom and/or online training sessions on AI/ML concepts and tools. Develop course content, training materials, projects, and assessments. Guide students through practical hands-on projects using Python, ML libraries (NumPy, Pandas, Scikit-learn, etc.), and AI frameworks (TensorFlow, Keras, PyTorch). Stay updated with the latest trends and advancements in AI/ML technologies. Provide mentorship and support to students during and after training. Conduct evaluations to assess student performance and provide feedback. Customize training modules as per industry and learner needs. Required Skills & Qualifications: Minimum 2 years of industry or academic experience in AI/ML. Strong knowledge of Python and its data science libraries. Hands-on experience with machine learning algorithms, deep learning, and model deployment. Familiarity with tools such as Jupyter Notebook, Google Colab, TensorFlow, Keras, PyTorch. Experience in training or mentoring students/professionals in AI/ML. Excellent communication, presentation, and interpersonal skills. Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. #AITrainer #MLTrainer #DataScienceTrainer #PythonTrainer #ArtificialIntelligence #MachineLearning #HiringNow #JobOpening #TrainerJobs #TechJobs #AIJobs #MLJobs #ImmediateJoiner Job Type: Full-time Pay: ₹25,706.34 - ₹50,082.75 per month Benefits: Cell phone reimbursement Commuter assistance Flexible schedule Leave encashment Ability to commute/relocate: Chandigarh, Chandigarh: Reliably commute or planning to relocate before starting work (Required) Experience: AI/ML: 2 years (Required) Location: Chandigarh, Chandigarh (Required) Work Location: In person

Location: Indore (Work from Office) Job Type: Full-Time About the Role: Engineer Sahab Education is looking for a passionate and knowledgeable AI/ML Mentor with 1 to 3 years of industry or teaching experience to join our growing team in Indore . This is a full-time, in-office role where you will guide and mentor students, helping them build strong foundations in Artificial Intelligence and Machine Learning through hands-on learning, real-world projects, and industry-relevant tools. Key Responsibilities: Deliver engaging and interactive sessions on AI/ML concepts , including Python for ML, Data Preprocessing, Supervised & Unsupervised Learning, Deep Learning, NLP, Computer Vision, and more. Guide students in building capstone projects , participating in hackathons, and solving real-world problems. Provide 1-on-1 mentorship and doubt-solving support to help learners strengthen their understanding. Stay updated with the latest AI/ML trends and continuously improve the course material. Conduct regular assessments, feedback sessions, and progress reviews . Collaborate with curriculum designers and the academic team to enhance learning outcomes. Requirements: Bachelor's or Master’s degree in Computer Science, AI/ML, Data Science , or related field. 1–3 years of experience in AI/ML development or teaching/training roles. Proficient in Python , machine learning libraries like Scikit-learn, TensorFlow, Keras, Pandas, NumPy , etc. Strong communication skills and passion for mentoring students. Experience in building and deploying ML models is a plus. What We Offer: A collaborative and student-focused work environment. Opportunity to impact the careers of future tech professionals. Access to continuous learning and upskilling resources. Competitive salary with growth opportunities. If you’re passionate about AI/ML and love sharing knowledge, we’d love to hear from you! Apply now and become a part of Engineer Sahab Education’s mission to shape the next generation of AI/ML professionals.

Summary: You will be a key member of the innovation lab at Ashley Furniture, responsible for driving the integration of AI across all aspects of the business. You will be a strategic engineer, responsible for creating and implementing new technologies that will revolutionize the customer experience, augment the workforce, and unlock new opportunities for Ashley Furniture. You will be responsible for the technical design, development, testing, and implementation of complex problems and seeding opportunities to proof of value of new products and features. The selected candidate will be required to have an X-shape profile and possess a deep understanding of first principles. Primary Job Functions: Lead the development and implementation of new technologies that will transform the customer experience, augment the workforce, and create new opportunities for Ashley Furniture. Collaborate with cross-functional teams to identify business problems that can be solved using AI technologies. Develop advanced algorithms and models to extract insights from data and create recommendations for business decisions. Implement machine learning models using Python, Typescript, C#, Java, and other relevant programming languages. Lead the team in developing prototypes and proof-of-concepts to demonstrate the feasibility of new technologies. Stay up to date with the latest developments in AI, machine learning, and related fields, and identify potential applications for Ashley Furniture. Mentor and guide junior engineers to help them develop their skills and deliver high-quality work. Demonstrate the Company’s Core and Growth Values in the performance of all job functions. Education: Bachelor's or master’s degree in Computer Science, Mathematics, or related field. Experience: 9-15 Years of experience in developing technology solutions, integrating, or creating AI and machine learning models. Knowledge, Skills and Abilities: X-shape profile, with a deep understanding of first principles. Proficient in Python, Typescript, C#, Java, CSS and other relevant Experience with machine learning frameworks such as TensorFlow, Keras, PyTorch, etc. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to lead a team and work independently. Strong project management skills. programming languages. Strong attention to detail Excellent verbal and written communication skills Excellent interpersonal skills Effective time management and organizational skills Work independently as well as in a team environment Document management system Analytical and problem solving skills Maintain confidentiality If you feel you have the necessary skill sets and are passionate about the job, please send your profile to vthulasiram@ashleyfurnitureindia.com

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The Information Technology (IT) group at KLA is involved in every aspect of the global business. IT’s mission is to enable business growth and productivity by connecting people, process, and technology. It focuses not only on enhancing the technology that enables our business to thrive but also on how employees use and are empowered by technology. This integrated approach to customer service, creativity and technological excellence enables employee productivity, business analytics, and process excellence. Job Description/Preferred Qualifications We are seeking for a Data Scientist/ML Engineer with experience in NLP, statistics, and Conversational AI. The ideal candidate is adept at using Statistical Modelling, Machine learning algorithms and Conversational AI. Strong experience using variety of data mining/ Machine Learning methods, using/coding algorithms and running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with business partners to improve business outcomes. Responsibilities for Data Scientist/ML Engineer: Building end-to-end ML systems (Including traditional ML models and Conversational AI) and deploying them to operate at scale. Research and devise innovative statistical models/ML models for data analysis Develop and maintain RAG (Retrieval-Augmented Generation) applications. Implement changes to algorithms to improve AI performance and retrieval techniques. Use predictive modeling to increase and optimize customer service experience and supply chain optimization. Identify patterns in data using statistical modeling, develop custom data models and algorithms to apply to data sets. Work with business partners throughout the organization to find opportunities for using company data to drive solutions. Working with project managers to establish objectives for AI systems. Minimum Qualifications Bachelor’s degree (or equivalent) in computer science, statistics, applied mathematics, or related discipline Experience solving problems with Conversational AI in a production environment for a High-tech Manufacturing Industry 2+ years of experience in Python and ML packages (NumPy, Keras, Seaborn, Scikit-learn). Excellent understanding of machine learning techniques and algorithms such as, Regression models, kNN, SVM,NB, Decision Trees. Expertise/Familiarity with one or more deep learning frameworks such as TensorFlow, PyTorch. We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees. KLA is proud to be an equal opportunity employer Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Location: Cyber Towers, Hyderabad & Vijayawada 🏢 Company: Datavalley India Private Limited 📅 Type: Full-Time (Immediate Joiner) 🎓 Education: B.Tech in Computer Science, Data Science, Artificial Intelligence, or related branches 🧪 Experience: 1 - 5 Years About Datavalley.ai: Datavalley.ai is a forward-thinking AI company revolutionizing industries through advanced Machine Learning and Deep Learning solutions. Based in Hyderabad’s tech core, Cyber Towers, we engineer scalable AI systems that transform raw data into powerful business intelligence. At Datavalley.ai, we train fresh minds into AI professionals who build with impact. Roles & Responsibilities: Design and implement Machine Learning and Deep Learning algorithms. Work on data preprocessing, feature engineering, and model evaluation. Build and deploy models using: - Machine Learning: Linear Regression, Logistic Regression, Decision Trees, Random Forest, XGBoost, SVM, K-Means, PCA - Deep Learning: ANN, CNN, RNN, LSTM, Transfer Learning (ResNet, VGG, BERT) - AI Applications: NLP, Computer Vision, Recommendation Systems Use Python and tools like Scikit-learn, TensorFlow, Keras, PyTorch. Collaborate with teams to deploy models using Flask, FastAPI, Streamlit. Skills Required: Strong programming skills in Python Experience with NumPy, Pandas, Matplotlib, Seaborn Knowledge of Scikit-learn, TensorFlow, Keras, PyTorch Understanding of model evaluation metrics (Accuracy, Precision, Recall, F1-score) Familiarity with SQL, basic knowledge of NoSQL (MongoDB) Comfortable with Jupyter/Colab, Git, and version control Basic exposure to Flask/FastAPI for deployment Qualifications: B.Tech in Computer Science, AI & ML, Data Science, or related disciplines Strong foundation in algorithms, mathematics, and statistics Ability to build, train, and evaluate ML/DL models Project or internship in AI/ML is preferred 📩 To Apply: Send your resume to [ artishukla@datavalley.ai ]

Inviting applications for the role of Senior Principal Consultant, Data Scientist for one of our Client (MNC) In this role, we are looking for candidates who have relevant years of experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Full cycle experience desirable in at least 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open source tools. Responsibilities Develop transformative AI/ML solutions to address our clients' business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Collaborate with service line teams to design, implement and manage Gen-AI solution Familiarity with generative models, prompt engineering, and fine-tuning techniques to develop innovative AI solutions. Designing, developing, and implementing solutions tailored to meet client needs. Understanding business requirements and translating them into technical solutions using GEN AI Works closely with service line teams to design, implement, and manage Generative AI solutions Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms Familiarity with Generative AI technologies, Design and Implement GenAI Solutions Technology Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python/R programming skills. Java programming skills a plus GenAI Tools Certifications in AI/ML or GenAI Methodology Solutioning & Consulting experience in verticals such as BFSI, CPG, with experience in delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 GenAI AI/ML Tools Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras, Torch, Theano Certifications in AI/ML or GenAI Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills

mokSa.ai is specializing in AI-powered surveillance audit solutions . Founded in 2021, the company focuses on helping businesses reduce losses from shoplifting and employee fraud by leveraging computer vision and machine learning technologies Job Description : We are seeking a talented Computer Vision Engineer with strong expertise in microservice deployment architecture to join our team. In this role, you will be responsible for developing and deploying computer vision models to analyze retail surveillance footage for use cases such as theft detection, employee efficiency monitoring, and store traffic analysis. Responsibilities : You will work on designing and implementing scalable, cloud-based microservices to deliver real-time and post-event analytics to improve retail responsibilities - Develop computer vision models : Build, train, and optimize deep learning models to analyze surveillance footage for detecting theft, monitoring employee productivity, tracking store busy hours, and other relevant use cases. - Microservice architecture : Design and deploy scalable microservice-based solutions that allow seamless integration of computer vision models into cloud or on-premise environments. - Data processing pipelines : Develop data pipelines to process real-time and batch video data streams, ensuring efficient extraction, transformation, and loading (ETL) of video data. - Integrate with existing systems : Collaborate with backend and frontend engineers to integrate computer vision services with existing retail systems such as POS, inventory management, and employee scheduling. - Performance optimization : Fine-tune models for high accuracy and real-time inference on edge devices or cloud infrastructure, optimizing for latency, power consumption, and resource constraints. - Monitor and improve : Continuously monitor model performance in production environments, identify potential issues, and implement improvements to accuracy and efficiency. - Security and privacy : Ensure compliance with industry standards for security and data privacy, particularly regarding the handling of video footage and sensitive Skills & Requirements : - 5+ years of proven experience in computer vision, including object detection, action recognition, and multi-object tracking, preferably in retail or surveillance applications. - Hands-on experience with microservices deployment on cloud platforms (e., AWS, GCP, Azure) using Docker, Kubernetes, or similar technologies. - Experience with real-time video analytics, including working with large-scale video data and camera Skills - Proficiency in programming languages like Python, C++, or Java. - Expertise in deep learning frameworks (e. TensorFlow, PyTorch, Keras) for developing computer vision models. - Strong understanding of microservice architecture, REST APIs, and serverless computing. - Knowledge of database systems (SQL, NoSQL), message queues (Kafka, RabbitMQ), and container orchestration (Kubernetes). - Familiarity with edge computing and hardware acceleration (e., GPUs, TPUs) for running inference on embedded Qualifications : - Experience with deploying models to edge devices (NVIDIA Jetson, Coral, etc.) - Understanding of retail operations and common challenges in surveillance. - Knowledge of data privacy regulations such as GDPR - Strong analytical and problem-solving skills. - Ability to work independently and in cross-functional teams. - Excellent communication skills to convey technical concepts to non-technical - Competitive salary and stock options. - Health insurance. If you're passionate about creating cutting-edge computer vision solutions and deploying them at scale to transform retail operations, wed love to hear from you!. Interested candidates can apply here: sravankumar.m@moksa.ai

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Summary:We are seeking a highly skilled and forward-thinking Senior Data Scientist to join our Automation Centre of Excellence within the Research & Analytics team. Expertise in Generative AI and Machine Learning. Adept at leading end-to-end development of high-performance GenAI/ML solutions that streamline complex business workflows and elevate analytical precision. This role demands deep expertise in Data Science, Generative AI (GenAI), Python programming and automation. The ideal candidate will lead the development of intelligent, scalable solutions that automate workflows, enhance decision-making, and unlock business value through advanced AI techniques. Awareness of Microsoft Power Platform is good to have.Roles and Responsibilities:Collaborate with cross-functional teams to identify automation opportunities and deliver AI-driven solutions.Design and implement end-to-end data science workflows using Python, integrating diverse data sources (on-premise and cloud).Lead the transformation of manual, Excel-based processes into robust, governed Python-based automation pipelines.Apply advanced data science techniques including data preprocessing, feature engineering, and model development.Leverage GenAI models (e.g., GPT, DALL·E, LLaMA) for content generation, data exploration, and intelligent automation.Build and deploy applications using Microsoft Power Platform (Power BI, Power Apps, and Power Automate).Integrate systems and automate workflows using WTW Unify.Ensure high standards of code quality, modularity, and scalability in Python development.Implement CI/CD pipelines using Azure DevOps for seamless deployment of data science solutions.Maintain data governance, quality, and compliance with organizational standards.Stay abreast of emerging trends in AI, GenAI, and data engineering to drive innovation.Technical Skills & Tools:Mandatory:Key Skills: Generative AI, Machine Learning, Deep Learning, NLPPython (Data Processing, Engineering, Automation)Libraries: Pandas, Numpy, Seaborn, Matplotlib, Scikit-learn, Tensorflow, Keras, OpenCV, NLTK, Spacy, Gensim, TextBlob, Fasttext, FastApiGenAI frameworks (e.g., OpenAI, Hugging Face, Meta AI, LangChain, LangGraph)Version Control & DevOps Tools: GitHub (CI/CD Actions), Azure DevOpsVersion control systems (ADO/Bitbucket)Preferred:R Programming, Posit Workbench, R ShinyKnowledge of Microsoft Power Platform, WTW UnifyFunctional Expertise:8+ years of experience in data science and GenAI projectsProven track record in deploying GenAI solutions in enterprise environments.Experience in the Insurance domain (e.g., Finance, Actuarial) is a plus.Strong communication skills to engage with technical and non-technical stakeholders. Qualifications Educational Qualifications:Master’s degree in Statistics, Mathematics, Economics, or Econometrics from Tier 1 institutionsOR BE/B-Tech, MCA, or MBA from Tier 1 institutions

About NerdAppLabs Founded in 2012, nerdAppLabs Software Solutions Pvt. Ltd. has been a trusted partner for numerous companies, assisting in the development and support of products across various domains. Our work with platforms like SugarCRM, Fledge, FogLAMP, MyMap, and OptTown has enabled organizations to succeed in their respective industries. At nerdAppLabs, we are proud to be at the forefront of the Commercial Open Source Industrial IoT (IIoT), Edge AI/ML, GenAI/LLM space, contributing to the creation of a leading platform for Industrial Data Pipelines, Insights, and Actions. Join us in shaping the future! With cutting-edge technology, an amazing team, and a bold mission, there's never been a better time to get involved. The IoT + AI/ML space is dynamic, full of innovation, and we're excited about the opportunities ahead. We are looking for passionate individuals who are excited by the fast-growing fields of IIoT, AI, and Edge MLOps. As a company, we focus on fostering a supportive and positive culture driven by motivated team players. We celebrate diversity in people, ideas, and backgrounds, contributing to a shared sense of community. At nerdAppLabs, we believe that the future belongs to those who think, build, and deliver innovative solutions. We are an engineering partner to Dianomic Systems, helping to build open-source solutions under the Linux Foundation and commercial IIoT products for IT/OT integration with intelligence. Learn More Explore our products at Dianomic Products. Visit our website at nerdAppLabs for more information about our past projects and clients, including references to our work on Fledge. The open-source project code and documentation are available to the public. Our Technology Stack Languages & Frameworks : C++, Golang, Python, Angular Databases : SQLite, Postgres Operating Systems : Linux DevOps & Cloud : AWS, GCP, Azure, AVEVA AI/ML Tools & Frameworks : TensorFlow, Scikit-learn, Keras, Langfuse etc. Join us and be part of a team driving innovation in IIoT, Machine Learning, AI, and Edge Computing! Role Overview We're looking for a sharp, forward-thinking Angular Developer who excels at transforming complex backend logic and REST APIs into clean, usable, and visual user interfaces. This role focuses on data-driven UI/UX, where design starts with system behavior - not just Figma files. You'll help build modern, modular applications that visualize data flows, enable user interactions with pipelines, and support real-time system feedback. Think control panels, dashboards, and visual builders - all grounded in architecture, data, and storytelling. If you're familiar with visual programming (like Rete.js or Node-RED), Docker/AWS deployments, and micro frontend/plugin architectures, you'll fit right in. What You'll Do Build Angular components that visualize complex backend pipelines and workflows Deep focus on UI/UX design, turning architectural details and API specs into engaging, real-time interfaces Browser Dev Tools knowledge for debugging Angular applications effectively Experience in applying design patterns in Angular (e.g., Component-based, Observer, Singleton, Factory, etc.) Implement data visualization patterns using JSON payloads and system state Write Cypress or Playwright E2E tests for interactive interfaces Use Docker and deploy apps on NGINX, Apache, or cloud VM instances (e.g., AWS EC2) Contribute to modular architecture patterns (e.g., plugin-based or micro frontends) Work closely with system architects, backend devs Required Skills 3+ years Angular (v10+) with advanced TypeScript and RxJS knowledge Strong grasp of HTML5, CSS3, and responsive web design. Excellent grasp of REST API integration, handling JSON, and data binding Experience working directly from system designs, API contracts, or flow specs Strong UI/UX focus - able to build without relying on pixel-perfect mockups Comfortable with Bulma, Bootstrap, or CSS utility frameworks Solid Git skills (branching, pull requests, conflict resolution) Familiarity with NGINX/Apache for frontend deployment Experience writing automated UI tests with Cypress or Playwright Comfortable using Docker and working with cloud VMs (AWS EC2 or similar) Additional Skills To Consider Familiarity with SCSS (Sassy CSS) and its advanced features like variables, mixins, and nesting. Experience in building dashboards, admin panels, or analytics UIs. Knowledge of graph libraries (e.g., Chart.js, Plotly.js). Solid understanding of UI/UX principles, color theory, typography, and design systems. Proficiency in tools like Figma or Excalidraw for wireframing and prototyping. Strongly Preferred Experience with visual programming / flow-based UIs like : Rete.js Node-RED FlowFuse Understanding of micro frontend patterns and plugin-based architecture Prior work in IoT, data pipelines, or Centralised management systems for Edge devices Familiarity with event-driven UIs, system state management (NgRx, etc.) Experience with JSON fixtures/stubs for API and Knowledge of Swagger/OpenAPI tools and integrating mock APIs. What You'll Get Ownership over rich, technical, visual frontends that drive real-world workflows The opportunity to shape interface logic directly from architecture and APIs A modern, forward-looking tech stack with flexibility and autonomy A team culture that values engineering insight, creativity, and impact (ref:hirist.tech)

Associate Vice President (AVP) - AI/ML Technologies Hyderabad (Corporate Office) Job Summary The AVP will be responsible for driving the strategic vision, development, and implementation of AI/ML and Generative AI technologies within our platform. This role requires a deep understanding of AI/ML, experience with banking projects is preferred with a proven track record of leading technical teams. Key Responsibilities Leadership and Strategy : Define and drive the AI/ML and GenAI strategy in alignment with the company's overall vision and business goals. Lead and mentor a team of AI/ML engineers and data scientists, fostering a culture of innovation and excellence. Collaborate with cross-functional teams to integrate AI/ML and GenAI capabilities into our LCNC and Pro Code platform. Technical Expertise Oversee the design, development, and deployment of AI/ML models and GenAI technologies to solve complex business problems. Ensure the scalability, reliability, and performance of AI/ML solutions. Stay abreast of the latest advancements in AI/ML and GenAI technologies and evaluate their potential impact on our platform. Project Management Manage multiple AI/ML projects simultaneously, ensuring they are delivered on time, within scope, and within budget. Develop and maintain project plans, track progress, and report on project status to senior management. Stakeholder Engagement Work closely with internal stakeholders, including product management, engineering, and business development teams, to understand their needs and provide AI/ML solutions. Engage with external stakeholders, such as clients and partners, to demonstrate the value of our AI/ML capabilities. Compliance And Risk Management Ensure that all AI/ML initiatives comply with relevant regulations and industry standards. Identify and mitigate risks associated with AI/ML & Experience : Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. Ph.D. is a plus. 10 to 15 years of experience in AI/ML technologies, with a significant portion spent in the banking or financial services industry. Required Skills Proven leadership experience, including leading technical teams and managing complex projects. Strong expertise in machine learning algorithms, data analysis, natural language processing, and generative AI technologies. Hands-on experience with AI/ML frameworks and tools such as TensorFlow, PyTorch, scikit-learn, Keras, and others. Proficient in programming languages such as Python, R, and SQL. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with MLOps practices and tools for model deployment, monitoring, and maintenance. Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud) for AI/ML workloads. Understanding of ethical AI principles and data privacy regulations. Excellent problem-solving skills and the ability to think strategically and analytically. Strong communication and interpersonal skills, with the ability to effectively convey technical concepts to non-technical stakeholders. Preferred Skills Experience with Low-Code/No-Code platforms. Knowledge of banking regulations and compliance requirements. Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI). Who are we ? Pennant Technologies is an agile, innovative financial technology company that powers the lending operations of global banks and financial institutions. Its suite of future ready lending products and solutions offer banks composable features and scalable capabilities to deliver differentiated loan origination, servicing and collections experiences for their customers. Trusted by leading banks and financial institutions in Asia, Pennants award-winning lending platform has managed more than 14 Million loans and facilitates 100 Million loan transactions per year. Pennant has received recognitions from global industry bodies and analyst firms including Deloitte Tech Fast 50 company, Gartner, IDC, Chartis, and nasscom among others. Pennant is a Great Place to Work certified company. Why work for Pennant Technologies ? At Pennant, we are reimagining the way financial institutions are driving their lending operations. As a leading lending technology company recognised by global institutions like Gartner and NASSCOM, top financial institutions across India, the Middle East, and Southeast Asia trust our solutions for their most critical operations. But what truly sets us apart is our people-first culturebuilt on strong values, collaboration, and a passion for excellence. Leveraging our strong engineering DNA with deep financial domain knowledge, were creating the next generation of financial technology products. Every demo, every proposal, every conversation is an opportunity to transform the way financial institutions lend. Ready to make a difference? (ref:hirist.tech)

Notice Period : Early joiners A Generative AI Developer specializing in Azure-based chatbot development is responsible for designing, building, and deploying AI-powered conversational agents using Microsoft Azure AI services . They leverage natural language processing (NLP), large language models (LLMs), and cloud-based AI tools to create chatbots that enhance user experience and automate interactions. Key Responsibilities Design and develop AI-powered chatbots using Azure OpenAI, Azure Bot Service, and Cognitive Services. Implement natural language understanding (NLU) and natural language generation (NLG) for intelligent conversation handling. Fine-tune GPT-based models and integrate them with business applications. Optimize chatbot performance by training models, improving responses, and handling edge cases. Deploy and manage chatbots using Azure Machine Learning, Azure Functions, and Kubernetes. Integrate chatbots with databases, APIs, and enterprise applications (e.g., Dynamics 365, Microsoft Teams, or custom apps). Ensure chatbot security, compliance, and scalability in Azure cloud environments. Monitor chatbot analytics using Azure Monitor, Application Insights, and Power BI.

Introduction to the Role: Are you passionate about building intelligent systems that learn, adapt, and deliver real-world value? Join our high-impact AI & Machine Learning Engineering team and be a key contributor in shaping the next generation of intelligent applications. As an AI/ML Engineer , youll have the unique opportunity to develop, deploy, and scale advanced ML and Generative AI (GenAI) solutions in production environments, leveraging cutting-edge technologies, frameworks, and cloud platforms . In this role, you will collaborate with cross-functional teams including data engineers, product managers, MLOps engineers, and architects to design and implement production-grade AI solutions across domains. If you're looking to work at the intersection of deep learning, GenAI, cloud computing, and MLOps this is the role for you. Accountabilities: Design, develop, train, and deploy production-grade ML and GenAI models across use cases including NLP, computer vision, and structured data modeling. Leverage frameworks such as TensorFlow , Keras , PyTorch , and LangChain to build scalable deep learning and LLM-based solutions. Develop and maintain end-to-end ML pipelines with reusable, modular components for data ingestion, feature engineering, model training, and deployment. Implement and manage models on cloud platforms such as AWS , GCP , or Azure using services like SageMaker , Vertex AI , or Azure ML . Apply MLOps best practices using tools like MLflow , Kubeflow , Weights & Biases , Airflow , DVC , and Prefect to ensure scalable and reliable ML delivery. Incorporate CI/CD pipelines (using Jenkins, GitHub Actions, or similar) to automate testing, packaging, and deployment of ML workloads. Containerize applications using Docker and orchestrate scalable deployments via Kubernetes . Integrate LLMs with APIs and external systems using LangChain, Vector Databases (e.g., FAISS, Pinecone), and prompt engineering best practices. Collaborate closely with data engineers to access, prepare, and transform large-scale structured and unstructured datasets for ML pipelines. Build monitoring and retraining workflows to ensure models remain performant and robust in production. Evaluate and integrate third-party GenAI APIs or foundational models where appropriate to accelerate delivery. Maintain rigorous experiment tracking, hyperparameter tuning, and model versioning. Champion industry standards and evolving practices in ML lifecycle management , cloud-native AI architectures , and responsible AI. Work across global, multi-functional teams, including architects, principal engineers, and domain experts. Essential Skills / Experience: 4-7 years of hands-on experience in developing, training, and deploying ML/DL/GenAI models . Strong programming expertise in Python with proficiency in machine learning , data manipulation , and scripting . Demonstrated experience working with Generative AI models and Large Language Models (LLMs) such as GPT, LLaMA, Claude, or similar. Hands-on experience with deep learning frameworks like TensorFlow , Keras , or PyTorch . Experience in LangChain or similar frameworks for LLM-based app orchestration. Proven ability to implement and scale CI/CD pipelines for ML workflows using tools like Jenkins , GitHub , GitLab , or Bitbucket Pipelines . Familiarity with containerization (Docker) and orchestration tools like Kubernetes . Experience working with cloud platforms (AWS, Azure, GCP) and relevant AI/ML services such as SageMaker , Vertex AI , or Azure ML Studio . Knowledge of MLOps tools such as MLflow , Kubeflow , DVC , Weights & Biases , Airflow , and Prefect . Strong understanding of data engineering concepts , including batch/streaming pipelines, data lakes, and real-time processing (e.g., Kafka ). Solid grasp of statistical modeling , machine learning algorithms , and evaluation metrics. Experience with version control systems (Git) and collaborative development workflows. Ability to translate complex business needs into scalable ML architectures and systems. Desirable Skills / Experience: Working knowledge of vector databases (e.g., FAISS , Pinecone , Weaviate ) and semantic search implementation. Hands-on experience with prompt engineering , fine-tuning LLMs, or using techniques like LoRA , PEFT , RLHF . Familiarity with data governance , privacy , and responsible AI guidelines (bias detection, explainability, etc.). Certifications in AWS, Azure, GCP, or ML/AI specializations. Experience in high-compliance industries like pharma , banking , or healthcare . Familiarity with agile methodologies and working in iterative, sprint-based teams. Work Environment & Collaboration: You will be a key member of an agile, forward-thinking AI/ML team that values curiosity, excellence, and impact. Our hybrid work culture promotes flexibility while encouraging regular in-person collaboration to foster innovation and team synergy. You'll have access to the latest technologies, mentorship, and continuous learning opportunities through hands-on projects and professional development resources.

What does the team do? We serve several hundred million ads daily to our users, sourcing them from both our direct demand and a network of partners integrated via ORTB channels or GAM. Delivering ads at this scale to a diverse user base requires deep neural network (DNN)-based recommendation models, along with a robust infrastructure to support seamless ad delivery. Beyond recommendation models, our system incorporates a sophisticated marketplace designed to maximize value for advertisers while ensuring optimal budget consumption at a predictable pace. Additionally, it upholds a fair and competitive environment for all partners by ensuring equitable auctions for each ad slot. Some of the key challenges our team addresses include: Developing personalized ad recommendation models. Building world-class infrastructure to deliver ads in near real-time. Maintaining a marketplace that ensures fair value delivery to advertisers while optimizing budget utilization. Ensuring a level playing field for all partners, whether integrated directly or through networks. Beyond this, there are exciting opportunities to deploy ML in the ADs ecosystem like on the network ADs side of things as well as on balancing ad revenue with regression in user experience. This is a high-impact role with direct revenue implications, where experimentation success rates are significantly higher due to our dynamic and fast-paced environment. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and were making big progress at a rapid pace. Who are you? Design and help develop systems that serve recommendations to over 300 million users Drive ML roadmap creation and execution, specifically around Ads Provide technical guidance in ML model formulation, implementation & experimentation, and take end to end ownership of ML systems, and key user satisfaction based metrics Drive architectural strategy and design for complex ML systems that support the needs of users, creators and content stakeholders Preferred Qualifications Hands-on experience training and serving large-scale models using frameworks such as Tensorflow or PyTorch Experience productionising machine learning models, and managing and designing end to end ML systems, and data pipelines Deep understanding of the mathematical foundations of Machine Learning algorithms Direct experience in building and applying large-scale (100M+ users) machine learning solutions for feed ranking, and personalizing recommendations. You stay up-to-date with the state-of-the-art technology in the domains of recommender systems, data engineering, and machine learning. Relevant publications in top tier applied machine learning conferences is a plus You have a Masters or PhD in ML, statistics, or an engineering field with 5+ years of experience

Company: Mercer Description: About the Role: We are based in Gurgaon and looking for a Senior Computer Vision Engineer to join our team and help our team to improve and create new technologies. You'll work on projects which makes online assessment more secure and cheating proof. If you're a seasoned computer vision expert with a passion for innovation and a track record of delivering impactful solutions, we would be happy to meet you. Role Senior Computer Vision Engineer Functional Area AI Educational Qualification: BTech/MS/MTech/PhD in Computer Science/Computer vision/Signal Processing/Deep Learning or equivalent.Should have worked in an academic or professional setting in the field of computer vision/signal processing. Experience: 2-5 years Location Gurgaon Key Responsibilities: Develop and optimize advanced computer vision algorithms for image and video analysis tasks.Design, implement and train deep learning models for object detection, face processing, activity recognition and other related tasks.Test and refine models and systems based on real-world data and feedback.Evaluate project requirements, plan and manage the roadmap of a project.Present findings and insights in a clear and concise manner to stakeholders.Collaborate and help to integrate and deploy computer vision systems into broader product architecture.Conduct research to stay updated on emerging computer vision technologies and trends.Automate data preprocessing and annotation processes to streamline workflow efficiency.Maintain comprehensive documentation for algorithms, implementations, and evaluations.Mentor junior engineers and provide strategic guidance on project development. Requirements and skills: Proficiency in Python and knowledge of C++, Java and JS is plus.Solid understanding of neural networks, especially convolutional neural networks (CNNs). Knowledge of RCNNs and vision transformers.Proficient in understanding, designing and implementing deep learning models using frameworks such as TensorFlow, PyTorch and Keras.Understanding of fundamental image processing techniques like image filtering, edge detection, image segmentation and image augmentation.Experience in evaluating computer vision models using relevant metrics and performance indicators.Familiarity with GPU and related technologies which is utilized for improved computational efficiency such as CUDA, CUDNN, tensorRT etc.Familiarity with Python libraries such as OpenCV, NumPy, Pandas and scikit-learn etc.Basic knowledge of linear algebra, calculus, and statistics.Strong critical thinking, analytical, and problem-solving skillsSelf-motivated, quick learner and strong team player with ability to work with minimal supervision. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI APIs), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy APIs on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAGs and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Masters Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

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 13-17 Lpa Job Types: Full-time, Permanent Pay: ₹2,200,000.00 - ₹2,500,000.00 per year Experience: total work: 1 year (Preferred) Work Location: In person

JOB DESCRIPTION We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Senior Associate within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred qualification, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. ABOUT US

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. About The Role Design, develop, and implement conversational AI solutions using the Kore.ai platform, including chatbots, virtual assistants, and automated workflows tailored to business requirements. Customize, configure, and optimize the Kore.ai platform to address specific business needs, focusing on user interface (UI) design, dialogue flows, and task automation. Collaborate with cross-functional teams to understand business objectives and translate them into scalable AI solutions. Continuously monitor and enhance bot performance by staying updated on the latest Kore.ai features, AI advancements, and machine learning trends. Primary Skills 7+ years of experience in software development, with at least 4+ years of hands-on experience working with the Kore.ai platform. Proven expertise in developing chatbots and virtual assistants using Kore.ai tools. Proficiency in programming languages such as JavaScript or other scripting languages. Experience with API integrations, including RESTful APIs and third-party services. Strong understanding of dialogue flow design, intent recognition, and context management. Secondary Skills Kore.ai platform certification is a strong advantage. Knowledge of automation tools and RPA technologies is beneficial. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.