1810 Keras Jobs - Page 3

As a Computer Vision Engineer at wTVision in Noida, India, you will be an integral part of our development team, focusing on designing and implementing cutting-edge computer vision algorithms and systems. Your role will involve optimizing machine learning algorithms, conducting spatial and temporal analysis of object movements, developing real-time processing algorithms for Vision-AI perception metadata, and collaborating with the product team to define new features and functionalities. Your responsibilities will include analyzing and enhancing the end-to-end accuracy of the computer vision pipeline, staying abreast of emerging technologies, working on scalable software solutions with the software development team, and deploying models on edge devices like NVIDIA Jetson. You will be expected to have a strong academic background in Computer Science or related fields, proficiency in programming languages such as Python and C++, experience in image and video processing, and excellent communication and collaboration skills. Ideal candidates should have hands-on expertise with PyTorch, TensorRT, CuDNN, and Deep Learning frameworks like TensorFlow and Keras. A solid understanding of object-oriented programming, parallel computing, and concepts like Linear Algebra and 3D Geometry is required. Additionally, experience with NVIDIA Deep Stream, Jetson, and CUDA programming, knowledge of cloud platforms such as AWS, GCP, or Azure, familiarity with containerization technologies, and contributions to the computer vision community are considered advantageous. If you are self-motivated, possess strong problem-solving skills, and can deliver high-quality work while handling multiple tasks, we encourage you to apply. A passion for sports and technology will be a plus in this dynamic and innovative work environment.,

The company is a global technology consulting and digital solutions provider with a team of over 84,000 professionals in more than 30 countries. They work with 700+ clients to drive innovation and competitive differentiation through digital technologies. As a Fullstack Developer specializing in generative AI systems, your responsibilities will include developing and implementing end-to-end solutions, collaborating with AI developers and data scientists to meet project requirements, and managing frontend website architecture and user interactions. You will also be involved in testing, troubleshooting, and enhancing the performance of fullstack applications. To excel in this role, you should have a degree in Computer Science, AI, Machine Learning, or a related field, along with proven experience in fullstack development and a strong understanding of generative AI technologies. Proficiency in programming languages such as Python, Fast API, Flask, JavaScript, HTML, and CSS is essential. Familiarity with AI and machine learning frameworks like TensorFlow, PyTorch, or Keras, as well as frontend and backend technologies like React, Angular, Vue.js, Node.js, Django, and databases like MongoDB, Postgres, and MySQL, will be beneficial. Your problem-solving skills, creativity, and ability to communicate complex concepts clearly will be key assets in this role. Experience with cloud platforms like AWS, Google Cloud, or Azure, and strong teamwork abilities are also desirable qualities. This is a full-time position based in Hyderabad, Hitech City, with a work mode of hybrid. The ideal candidate should have 3 to 5 years of work experience and be available to start with a notice period of 0 to 30 days. Key Skills: Data Scientist, Gen AI, Python, Fast API If you meet the requirements and are excited about the opportunity to work on cutting-edge generative AI projects, we look forward to receiving your application.,

As the Lead Data Science Expert (ML/AI/Data Science) at Egnify, you will play a crucial role in uncovering valuable insights from large volumes of data sourced from various internal and external outlets. Your expertise will be instrumental in making informed decisions that contribute to the enhancement of our products and services. Your key responsibilities will include: - Demonstrating a comprehensive understanding of the business challenges at hand. - Driving data analysis and developing models that directly impact our operational efficiency. - Collaborating with professionals from diverse scientific, engineering, and business backgrounds. - Partnering with engineers to implement and monitor the performance of data-driven recommendations, proofs-of-concept, and models. - Employing machine learning techniques to select features, optimize classifiers, and build predictive systems of high quality. - Conducting data mining using cutting-edge methodologies. - Extracting insights from authentic and publicly available sources to enrich data science initiatives and address data-related challenges. - Processing, cleansing, and validating data integrity for analytical purposes. - Performing ad-hoc analyses and presenting findings in a clear and concise manner. - Developing automated anomaly detection systems and continuously evaluating their efficacy. Qualifications: - B.Tech / M.Tech / PhD in Computer Science from prestigious institutions such as IITs or IISc, with a preference for leading engineering schools. - A minimum of 6 years of overall experience, including 2-3 years of demonstrable expertise in ML/AI/Data Sciences. - Proficiency in Data and Web Data Analytics. - Experience in utilizing machine vision, data mining, or machine learning to address real-world challenges with extensive image and/or video datasets. - Proficient in Python (e.g., pandas, numpy, scikit) or equivalent scripting languages. - Familiarity with R, Matlab, or other statistical tools. - Hands-on experience with deep learning frameworks like PyTorch, Tensorflow, Keras, etc. - Strong grasp of statistics, algebra, probability, and mathematical optimization. - Interest in leveraging scientific approaches to tackle educational issues on a large scale. - Excellent communication and collaboration skills to engage effectively with individuals from diverse technical backgrounds. - Possession of patents and/or technical publications is advantageous. - Prior experience in the Ed-Tech sector is desirable. In conclusion, at Egnify, we value a culture that fosters organizational success and individual satisfaction. Upholding principles such as thinking big, solving challenging problems, focusing on experiences, promoting accountability, nurturing talent, embracing failure as a means of growth, and ensuring an enjoyable work environment are key aspects of our ethos.,

As a skilled AI/ML Engineer, your primary responsibility will be to develop and train AI/ML models to enhance the functionalities of virtual humans, focusing on emotion detection, facial recognition, and speech synthesis. Your role will involve working on data preprocessing to ensure that datasets are clean, labeled accurately, and optimized for effective model training. Collaboration with senior engineers will be essential to implement and optimize deep learning models using frameworks such as TensorFlow, Keras, or PyTorch. Furthermore, you will play a key role in assisting in the deployment of AI models, guaranteeing their optimal performance in real-time applications. Your expertise will be required to conduct model evaluation and tuning, aiming to enhance accuracy, performance, and efficiency. Additionally, you will have the opportunity to contribute to research and innovation in AI applications for digital humans, exploring cutting-edge techniques in machine learning and AI. Join a company dedicated to creating hyper-realistic virtual influencers that elevate marketing returns for both brands and individuals. Be a part of an exciting journey with Kshan, India's first virtual influencer who can engage with people on various platforms like Instagram. Follow Kshan's lifestyle and witness the future of virtual interactions.,

As a Lead Data Scientist/AI Product Owner at a reputed IT MNC in Gurgaon, your primary responsibility will be AI Model Development & Deployment, focusing on Computer Vision & Deep Learning. You will be leading the design and implementation of computer vision models for various tasks such as object detection, tracking, segmentation, and action recognition. Your expertise will include architectures like YOLO (v4, v5, v8), Vision Transformers, Mask R-CNN, Faster R-CNN, LSTMs, and Spatio-Temporal Models for image and video analysis. Additionally, you will contextualize the model for challenging situations such as poor detection through specific training on different scenarios. Another key aspect of your role will involve Reinforcement Learning & Model Explainability, where you will develop and integrate reinforcement learning models to optimize decision-making in dynamic AI environments. You will work with techniques such as Deep Q-Networks (DQN), Proximal Policy Optimization (PPO), A3C, SAC, and other RL methods. Furthermore, you will lead the development of a Scalable Data Model for AI Model Training Pipelines, overseeing the end-to-end data preparation process, including data gathering, annotation, and quality review before training. You will focus on enhancing the quality and volume of training data to continually improve model performance and have the ability to think through the data model for future enhancements. In terms of technical skills, you are expected to have a proven track record of leading and delivering AI products, hands-on expertise with advanced AI models, experience in managing and mentoring a small team of data scientists, proficiency in AI/ML frameworks like TensorFlow, PyTorch, and Keras, effective collaboration with cross-functional teams, and strong problem-solving skills in image and video processing. Nice-to-have skills include Experimentation, Iterative Improvement and Testing, Collaboration with Engineering and Product Teams, and Team Leadership. To qualify for this role, you should have at least 10 years of hands-on experience in AI with a solid background in object detection, image and video processing, and computer vision.,

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and innovative AI/ML Engineer to join our team. This role focuses on designing, developing, and deploying cutting-edge solutions using Generative AI (GenAI), Large Language Models (LLMs), Machine Learning Models and Azure OpenAI Services. Primary Responsibilities: Design and implement AI/ML models with a focus on GenAI, LLMs, ML models, RAG architectures Develop and fine-tune Bots (Chat/Voice) Integrate AI solutions into enterprise applications using Azure AI and App Services Collaborate with cross-functional teams to define use cases and deliver AI-powered features Develop and maintain Solid relationships with stakeholders, customers, and partners internally and externally Ensure responsible AI practices, including bias mitigation, explainability, and compliance Monitor model performance and retrain as needed to maintain accuracy and relevance Stay up to date with the latest AI and machine learning technologies and trends Conduct evaluations and assessments of new tools and technologies to ensure that the team stays at the frontier of Artificial Intelligence & Machine Contribute to internal AI/ML knowledge sharing and mentoring initiatives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in computer science/IT/Math/Statistics/Engineering, or equivalent work experience 7+ years of overall experience with 5+ years of experience in AI/ML Healthcare Industry experience Experience leading and implementing AI/ML projects with demonstrable value to the organization, from ideation to delivery and evaluation Hands-on experience with GenAI tools, LLMs (eg, GPT, LLaMA), and RAG pipelines Knowledge of ethical AI principles and responsible AI deployment strategies Solid programming skills in Python and experience with ML frameworks (eg, PyTorch, TensorFlow) Proficiency in Azure OpenAI Services, Azure Machine Learning Familiarity with prompt engineering, semantic search, and vector databases Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven good conflict management and prioritization skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone – of every race, gender, sexuality, age, location and income – deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission. #NIC External Candidate Application Internal Employee Application

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 6+ years' experience in technology roles. Must have a minimum of 2 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. #LI-SS5 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Senior Machine Learning Engineer - Recommender Systems Join our team at Thomson Reuters and contribute to the global knowledge economy. Our innovative technology influences global markets and supports professionals worldwide in making pivotal decisions. Collaborate with some of the brightest minds on diverse projects to craft next-generation solutions that have a significant impact. As a leader in providing intelligent information, we value the unique perspectives that foster the advancement of our business and your professional journey. Are you excited about the opportunity to leverage your extensive technical expertise to guide a development team through the complexities of full life cycle implementation at a top-tier companyOur Commercial Engineering team is eager to welcome a skilled Senior Machine Learning Engineer to our established global engineering group. We're looking for someone enthusiastic, an independent thinker, who excels in a collaborative environment across various disciplines, and is at ease interacting with a diverse range of individuals and technological stacks. This is your chance to make a lasting impact by transforming customer interactions as we develop the next generation of an enterprise-wide experience. About the Role: As a Senior Machine Learning Engineer, you will: Spearhead the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives. Create machine learning solutions that are scalable, dependable, and secure. Craft and sustain technical outputs such as design documentation and representative models. Contribute to the establishment of machine learning best practices, technical standards, model designs, and quality control, including code reviews. Provide expert oversight, guidance on implementation, and solutions for technical challenges. Collaborate with an array of stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp the project scope, requirements, solutions, data, and services. Promote a team-focused culture that values information sharing and diverse viewpoints. Cultivate an environment of continual enhancement, learning, innovation, and deployment. About You: You are an excellent candidate for the role of Senior Machine Learning Engineer if you possess: At least 5 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency. A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices. A minimum of 2 years of experience with cloud technologies (AWS is preferred), including services, networking, and security principles. Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products. Proficient Python programming skills, SQL, and data modeling expertise, with DBT considered a plus. Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other relevant ML libraries. Experience in leading and supporting engineering teams. Robust background in crafting data science and machine learning solutions. A creative, resourceful, and effective problem-solving approach. #LI-FZ1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

Your Role Develop and implement Generative AI / AI solutions on Google Cloud Platform Work with cross-functional teams to design and deliver AI-powered products and services Work on developing, versioning and executing Python code Deploy models as endpoints in Dev Environment Solid understanding of python Deep learning frameworks such as TensorFlow, PyTorch, or JAX Natural language processing (NLP) and machine learning (ML) Cloud storage, compute engine, VertexAI, Cloud Function, Pub/Sub, Vertex AI etc Generative AI support in Vertex, specifically handson experience with Generative AI models like Gemini, vertex Search etc Your Profile Experience in Generative AI development with Google Cloud Platform Experience in delivering an AI solution on VertexAI platform Experience in developing and deploying AI Solutions with ML What youll love about working here You can shape yourcareerwith us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learnon one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications About Capgemini Location - Hyderabad,Pune,Bengaluru,Chennai,Mumbai

Your Role Design and develop Agentic AI architectures that can autonomously plan, reason, and execute tasks. Implement multi-agent communication protocols for agent-to-agent collaboration and coordination. Work with Large Language Models (LLMs) such as LLaMA, GPT, etc., for language understanding, generation, and task planning. Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance the reasoning capability of agents with external knowledge. Perform fine-tuning of foundational models for specific domains, tasks, or use cases. Design and experiment with lightweight models (e.g., Phi, Tiny LLMs) for efficiency in real-time or on-device scenarios. Collaborate cross-functionally with Data Scientists, ML Engineers, and Product Teams to deliver end-to-end AI solutions. Your Profile Proven experience in developing and deploying Agentic AI systems. Strong experience with LLMs, particularly Metas LLaMA family or similar open-source models. Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and related tools like LangChain, Haystack, etc. Knowledge and experience with model fine-tuning using frameworks like HuggingFace Transformers, PEFT, or LoRA. Experience in implementing agent-to-agent communication frameworks and multi-agent task handling systems. Proficiency in Python and AI/ML libraries such as PyTorch, TensorFlow, Transformers, etc. Familiarity with prompt engineering and chaining logic for LLMs. What youll love about working here You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders. You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. You will have theopportunity to learn on one of the industry"s largest digital learning platforms, with access to 250,000+ courses and numerous certifications.Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work . About Capgemini Location - Pune,Bengaluru,Chennai,Hyderabad

Your Role Drive the strategic vision for AI/ML initiatives and align them with the companys broader AI roadmap. Lead cross-functional teams including data scientists, ML engineers, and architects to deliver scalable AI solutions. Translate complex technical insights into actionable business strategies and communicate them effectively to stakeholders. Oversee the full lifecycle of AI/ML projects, leveraging LLMs and generative AI to build innovative, data-driven applications. Ensure high standards of data quality, model performance, and system reliability while staying current with emerging AI trends. Your Profile Over 10 years of experience in data science with a Masters/PhD from a Tier 1 institute, specializing in AI/ML model development and deployment. Expertise in machine learning, deep learning, NLP (including LLMs like GPT, BERT, Gemini), and big data frameworks like Spark/Hadoop. Skilled in Python, R, and deep learning libraries (TensorFlow, PyTorch, Keras), with hands-on experience in cloud platforms (AWS, GCP, Azure). Strong leadership in managing data science teams and implementing MLOps practices for scalable model delivery. Excellent communication, cross-functional collaboration, and deep understanding of data privacy, security, and agile methodologies. What You Will Love Working at Capgemini Work on cutting-edge AI/ML solutions using deep learning, NLP, and LLMs like GPT, BERT, and Gemini across cloud platforms (AWS, GCP, Azure). Lead and mentor data science teams to deliver scalable, secure, and production-ready models using MLOps best practices. Clear career progression paths from engineering roles to architecture and consulting. Be part of mission-critical projects that ensure security, compliance, and operational efficiency for Fortune 500 clients.

Design, develop, and implement machine learning models, including deep learning, reinforcement learning, and predictive modelling. Leverage frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for AI/ML development. Work on NLP projects utilizing tools like NLTK, Langchain, and large language models (GPT and LLAMA). Perform data preprocessing, cleaning, and transformation for machine learning pipelines. Conduct data exploration and statistical analysis to derive actionable insights. Utilize tools like Power BI, Tableau, Matplotlib, Plotly, and Seaborn to create interactive dashboards and visualizations. Deliver engaging online and offline training sessions on AI, ML, Deep Learning, and related tools Create course materials, hands-on projects, quizzes, and assignments Guide students on capstone projects and assessments Job Type: Full-time Pay: ₹15,000.00 - ₹25,000.00 per month Education: Bachelor's (Preferred) Experience: total work: 2 years (Preferred) artificial intelligence: 2 years (Preferred) Work Location: In person

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: o Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL o Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning o Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil o Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing o Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: o Confluence (Documentation) o Bitbucket/Stash (Code Sharing) o Shared Folders (File Sharing) o ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Manager Data Scientist AI Garage is responsible for establishing Mastercard as an AI powerhouse. AI will be leveraged and implemented at scale within Mastercard providing a foundational, competitive advantage for the future. All internal processes, all products and services will be enabled by AI continuously advancing our value proposition, consumer experience, and efficiency. Opportunity Join Mastercard's AI Garage @ Gurgaon, a newly created strategic business unit executing on identified use cases for product optimization and operational efficiency securing Mastercard's competitive advantage through all things AI. The AI professional will be responsible for the creative application and execution of AI use cases, working collaboratively with other AI professionals and business stakeholders to effectively drive the AI mandate. Role Ensure all AI solution development is in line with industry standards for data management and privacy compliance including the collection, use, storage, access, retention, output, reporting, and quality of data at Mastercard Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases Gather relevant information to define the business problem interfacing with global stakeholders Creative thinker capable of linking AI methodologies to identified business challenges Identify commonalities amongst use cases enabling a microservice approach to scaling AI at Mastercard, building reusable, multi-purpose models Develop AI/ML solutions/applications leveraging the latest industry and academic advancements Leverage open and closed source technologies to solve business problems Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda Partner with technical teams to implement developed solutions/applications in production environment Support a learning culture continuously advancing AI capabilities All About You Experience Experience in the Data Sciences field with a focus on AI strategy and execution and developing solutions from scratch Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: o Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL o Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning o Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil o Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing o Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Exposure or experience using collaboration tools such as: o Confluence (Documentation) o Bitbucket/Stash (Code Sharing) o Shared Folders (File Sharing) o ALM (Project Management) Knowledge of payments industry a plus Experience with SAFe (Scaled Agile Framework) process is a plus Effectiveness Effective at managing and validating assumptions with key stakeholders in compressed timeframes, without hampering development momentum Capable of navigating a complex organization in a relentless pursuit of answers and clarity Enthusiasm for Data Sciences embracing the creative application of AI techniques to improve an organization's effectiveness Ability to understand technical system architecture and overarching function along with interdependency elements, as well as anticipate challenges for immediate remediation Ability to unpack complex problems into addressable segments and evaluate AI methods most applicable to addressing the segment Incredible attention to detail and focus instilling confidence without qualification in developed solutions Core Capabilities Strong written and oral communication skills Strong project management skills Concentration in Computer Science Some international travel required #AI1 Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

What Will You Do: Define the Data sourcing strategy and works with partners to procure data. Supply to IP creation for Ericsson in AI/ML. Research studies and creative usage of new and/or existing data sources. Work with Data Architects to use existing data models and build new ones as needed. Work with new technologies and be the ambassador for them in MI Communities within Ericsson, nurturing the communities and mentoring junior data scientists. Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MI’s needs Present and be prominent in MI related forums and conferences, e.g., publishing patents, presenting papers, organizing sessions etc. To be successful in the role you must have: Total 8 - 14 yrs of experience with proven skills of implementing a variety of Machine Learning techniques. Solid programming skills (R/Python) with proficiency in at least one. Proven track record of leading AI/ML projects end-to-end with complete ownership. Experience in Generative AI, conversation Assistant systems. Proven skills in building AI/ML based solutions using frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc. Experience in implementing new algorithms and methodologies from leading open source initiatives and research papers. Hands-on experience in designing and building AI models using Deep Neural Networks for applicable scenarios. Able to build and deploy AI models into production with focus on scaling, monitoring and performance. Sound knowledge of building explainable models (XAI) and prescriptive analytics.

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes Job Title: – Software engineer Location: Remote Function/Department: Platform Engineering Position Summary We are looking for a talented and motivated Software Engineer with 2-4 years of experience in MERN stack (MongoDB, Express.js, React.js, Node.js) to join our team. The successful candidate will contribute to the development and maintenance of applications, ensuring their performance and quality. Responsibilities Develop and maintain software applications using the MERN stack. Collaborate with cross-functional teams to define, design, and develop new features. Troubleshoot, debug, and optimize existing applications for performance and scalability. Participate in full software development lifecycle, including requirement gathering, design, development, testing and deployment Learn, acquire, and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data Science will be of additional advantage. Required Skills proficiency in development, maintenance, and support of software applications with proven experience in Node.js React.js (having knowledge of Angular will be an additional advantage) RDMS (Oracle/SQL Server/Postgres) SQL NoSQL databases like Mongo Experience with front-end technologies such as HTML, CSS and JavaScript. Experience in Open-Source Technologies Preferable: Knowledge of database management tools like Liquibase / Hibernate Well-versed in Devops (e.g. Azure DevOps) and cloud PaaS. Familiarity with Docker and Git Good understanding of coding standards, ability to debug. Good Experience in Software development lifecycle and processes. Strong problem-solving skills. Excellent written and oral communication skills Ability to work effectively in a cross-functional team. Added advantage: Exposure to AI/ML frameworks in Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply.

Who We Are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. See yourself at Twilio Join the team as our next Senior Machine Learning Engineer (L3) in our Comms Platform Engineering team About The Job This position is needed to scope, design, and deploy machine learning systems into the real world, the individual will closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services. Twilio is looking for a Senior Machine Learning engineer to join the rapidly growing Comms Platform Engineering team of our Messaging business unit. You will understand the needs of our customers and build data products that solve their needs at a global scale. Working side by side with other engineering teams and product counterparts, you will own end-to-end execution of ML solutions. To thrive in this role, you must have a background in ML engineering, and a track record of solving data & machine-learning problems at scale. You are a self-starter, embody a growth attitude, and collaborate effectively across the entire Twilio organization Responsibilities In this role, you’ll: Build and maintain scalable machine learning solutions in production Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed Work closely with data platform teams to build robust scalable batch and realtime data pipelines Work closely with software engineers, build tools to enhance productivity and to ship and maintain ML models Drive engineering best practices around code reviews, automated testing and monitoring Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required 5+ years of applied ML experience. Proficiency in Python is preferred. We will also consider strong quantitative candidates with a background in other programming languages Strong background in the foundations of machine learning and building blocks of modern deep learning Track record of building, shipping and maintaining machine learning models in production in an ambiguous and fast paced environment. You have a clear understanding of frameworks like - PyTorch, TensorFlow, or Keras, why and how these frameworks do what they do Familiarity with ML Ops concepts related to testing and maintaining models in production such as testing, retraining, and monitoring. Demonstrated ability to ramp up, understand, and operate effectively in new application / business domains. You’ve explored some of the modern data storage, messaging, and processing tools (Kafka, Apache Spark, Hadoop, Presto, DynamoDB etc.) Experience working in an agile team environment with changing priorities Experience of working on AWS Desired Experience with Large Language Models Location This role will be remote, and based in India (only in Karnataka, TamilNadu, Maharashtra, Telangana and New Delhi). Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

What is the AI/ML Engineer in FTT AI & Digital Transformation group responsible for? The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research and Proof-of-Concept Work: The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Engineer? Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in computer science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience: 2-4 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timing - 2:00 PM - 11:00 PM IST

What is the Director - Research Scientist AI & Optimization responsible for? The core mandate of this role is to bring innovative digital investment products and solutions to market, leveraging a patented and innovative digital WealthTech/FinTech product - Goals Optimization Engine (GOE) - built with several years of academic research in mathematical optimization, probability theory and AI techniques at its core. The mandate also extends to leveraging cutting edge AI, such as Generative AI, in addition to Reactive AI to create value within various business functions within Franklin Templeton such as Investment Solutions, Portfolio Management, Sales & Distribution, Marketing, and HR functions, among others, in a responsible and appropriate manner. The possibilities are limitless here and present a fantastic opportunity for a self-motivated and driven professional to make significant contributions to the organization and to themselves. What are the ongoing responsibilities of a Director - Research Scientist AI & Optimization? As a Principal Research Scientist - AI and Optimization, you will play a pivotal role in driving innovation, product research, and proof of concepts for our AI research and Goals Optimization Engine (GOE) product roadmap. You will be responsible for mentoring and guiding a team of highly motivated research scientists, creating intellectual property, and ensuring successful client deployments and product development. Key Responsibilities: Innovation, Product Research, Proof of Concepts, Pseudocode & Design (40%): Lead and contribute to the multi-year Goals Optimization Engine (GOE) product roadmap, conceptualizing fitment against various industry use cases, creating product variants, and designing new features and enhancements across multiple distribution lines and geographies Mentor and guide a team of research scientists to achieve common objectives Serve as the Subject Matter Expert (SME) for a specific domain within AI and/or Optimization, acting as the go-to person for all internal stakeholders Develop pseudocode and working prototypes in a Python environment, collaborating closely with Product Managers and Product Developers Create well-articulated design documents and presentations to explain research to internal and external stakeholders, including clients and partners located globally Lead industry research and evaluate partnerships with third-party vendors and specialized service providers where appropriate Maintain a thorough understanding of boundary conditions, regulatory environments, data challenges, technology integrations, algorithmic dependencies, and operational process nuances to ensure nothing slips through the cracks Stay up to date with the latest developments in the Investment Management industry, Financial Mathematics, Portfolio Construction, and Portfolio Management IP Creation, Paper Writing, and Thought Leadership (30%): Conceptualize and produce high-quality intellectual property for publication in top-tier academic and practitioner journals Peer-review the work of other research scientists and improve the outcome of their research output Create patent-worthy intellectual content, apply for patents, and win them Take responsibility for winning industry awards for exceptional product research and innovative work products Stay informed about the latest industry research and evaluate it objectively and in an unbiased manner Publish research works for conferences Client Deployment, Product Development, and Vendor Due Diligence (30%): Act as the SME in initial client deployment discussions, showcasing the rigor of research, explaining the product or solution concept, and engaging in discussions with similar individuals/teams from the client/partner side Contribute to product development by ensuring alignment with research and design Provide hands-on support where required to complete time-critical work successfully Engage with third-party vendors and potential integration partners to understand their capabilities, methodologies, and algorithms, and perform rigorous due diligence to make clear recommendations on Go/No-Go decisions What ideal qualifications, skills & experience would help someone to be successful? Education: Bachelor's and master's degree in STEM disciplines; a PhD in a relevant discipline (Optimization, Probability, Quant Finance, AI & ML, Computational Mathematics, Statistics, etc.) would be a + Relevant industry certifications Experience - Core Skills: 10+ years of applied R &D experience in research departments of reputed organizations post-Masters or PhD Track record of real innovation generating impact is essential Demonstrated ability to create intellectual content, publish papers, and obtain patents Ability to effectively bridge the gap between academia and practice, ensuring research is practical and implementable Structured thinking and exceptional mathematical skills Excellent team player with the ability to work with ambiguity and thrive in chaos Familiarity with ML/DL/DRL, NLP, especially Large Language Models, dynamic programming, and/or convex optimization Solid experience with AWS and/or Azure Familiar with Python, PySpark, SQL, Hadoop, C++ Experience - Other Soft Skills: Proven ability to take initiative and work under pressure in a changing, fast paced environment Exceptional decision-making skills, with the ability to prioritize across needs given limited resources Thrives in a startup-like environment: loves dealing with a fast pace and changing needs Ability to build relationships both inside and outside of the product organization Ability to narrate a story for a problem along with the capacity to dive into minute details Superlative communication and consensus-building skills Work Shift Timings - 2:00 PM - 11:00 PM IST

Company Description Company Description Brainwonders - India's Largest Career Counselling Company 450+ Education Institutes use the Brainwonders Services 80+ Corporate Connects Winner of many numerous national and regional awards in the field of counselling and career guidance Brainwonders is a leading edutech company and is looking to have a dynamic team to propel its growth ahead. The given below job description is for aspiring candidates with an eye towards Shaping tomorrows' future. Job Description Job Description Brainwonders is looking for an experienced and engaging Data Science & AI Trainer to deliver high-quality learning experiences both online and offline. This role involves teaching, mentoring students and professionals through live sessions, recorded videos, and in-person training. You’ll be responsible for designing and delivering modules in core Data Science and Artificial Intelligence topics, tailored for corporate learners, and upskilling programs. Key Responsibilities: Design and deliver comprehensive training sessions on topics such as Python for Data Science, Machine Learning, Deep Learning, and AI applications Conduct both online video-based classes Host live webinars, pre-record instructional videos, and confidently present on camera Deliver hands-on workshops using tools like Python, Pandas, NumPy, Scikit-learn, TensorFlow, and Keras Coordinate with curriculum, pedagogy, product, and technical teams for continuous improvement Continuously revise training materials to stay updated with industry trends Provide student feedback, assess progress, and support career-readiness (mock interviews, project reviews) Required Qualifications & Skills: Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related fields 2–5 years of experience in Data Science, AI, or technical training Proficient in Python, Scikit-learn, Pandas, NumPy, TensorFlow/Keras, and SQL Strong understanding of machine learning algorithms, deep learning concepts, and data wrangling Offline and On-camera confidence and prior experience in video-based instruction or webinars Excellent communication, presentation, and mentoring skills Experience with LMS platforms and e-learning content is a plus Pay Range 5 LPA - 15 LPA Office timings - 10 am to 7 pm Additional Information Office Timings Monday to Saturday - 10 am - 7 pm

What is the AI/ML Senior Engineer in FTT AI & Digital Transformation group responsible for? The AI/ML Engineer in the FTT AI & Digital Transformation group is responsible for researching and developing state-of-the-art generative AI tools and products. These tools aim to enhance the productivity and efficiency of our internal teams, specifically the sales, distribution, and operations teams. The role involves conducting extensive research and performing proof-of-concept work to validate the feasibility and effectiveness of AI models. The engineer will collaborate with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Additionally, the AI/ML Engineer is expected to stay abreast of the latest advancements in AI and machine learning to ensure our solutions are cutting-edge and competitive. Research and Proof-of-Concept Work: The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation. What are the ongoing responsibilities of AI/ML Senior Engineer? Developing AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use. Conducting research: Regularly explore and analyze new AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums. Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making. Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency. Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models. Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment. Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders. Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment. What ideal qualifications, skills & experience would help someone to be successful? Bachelors degree in Computer Science, Data Science, Machine Learning, or a related field. A masters or Ph.D. is preferred. Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis. Proficiency in programming languages such as Python, R, or Java. Work Experience: 2-8 years of experience in AI/ML engineering or a related field. Proven track record of developing and deploying AI solutions in a production environment. Experience with data preprocessing, model training, and optimization techniques. Familiarity with cloud platforms and tools for AI/ML development and deployment. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Job Level - Individual Contributor Work Shift Timings - 2:00 PM - 11:00 PM IST Experience our welcoming culture and reach your professional and personal potential!

Job Title: Python Developer Machine Learning & AI (2-3 Years Experience) Job Summary: We are seeking a skilled and motivated Python Developer with 2 to 3 years of experience in Machine Learning and Artificial Intelligence. The ideal candidate will have hands-on experience in developing, training, and deploying machine learning models, and should be proficient in Python and associated data science libraries. You will work with our data science and engineering teams to build intelligent solutions that solve real-world problems. Key Responsibilities: Develop and maintain machine learning models using Python. Work on AI-driven applications, including predictive modeling, natural language processing, and computer vision (based on project requirements). Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions. Preprocess, clean, and transform data for training and evaluation. Perform model training, tuning, evaluation, and deployment using tools like scikit-learn, TensorFlow, or PyTorch. Write modular, efficient, and testable code. Document processes, models, and experiments clearly for team use and future reference. Stay updated with the latest trends and advancements in AI and machine learning. Required Skills: 2-3 years of hands-on experience with Python programming. Solid understanding of machine learning algorithms (supervised, unsupervised, and reinforcement learning). Experience with libraries such as scikit-learn , pandas , NumPy , Matplotlib , and Seaborn . Exposure to deep learning frameworks like TensorFlow , Keras , or PyTorch . Good understanding of data structures and algorithms. Experience with model evaluation techniques and performance metrics. Familiarity with Jupyter Notebooks, version control (Git), and cloud platforms (AWS, GCP, or Azure) is a plus. Strong analytical and problem-solving skills. Preferred Qualifications: Bachelors or Masters degree in Computer Science, Data Science, Mathematics, or related field. Experience with deploying ML models using Flask , FastAPI , or Docker . Knowledge of MLOps and model lifecycle management is an advantage. Understanding of NLP or Computer Vision is a plus.

AI Developer (Agentic AI Frameworks, Computer Vision & LLMs) Work Location - J P Nagar Bangalore Lead Time - Immediate Budget 15 LPA About the Role Were seeking an AI Developer who specializes in agentic AI frameworksLangChain, LangGraph, CrewAI, or equivalents—and who can take both vision and language models from prototype to production. You will lead the design of multi agent systems that coordinate perception (image classification & extraction), reasoning, and action, while owning the end to end deep learning life cycle (training, scaling, deployment, and monitoring). ScopeWhat You’ll Do Agentic AI Frameworks (Primary Focus) Architect and implement multi agent workflows using LangChain, LangGraph, CrewAI, or similar. Design role hierarchies, state graphs, and tool integrations that enable autonomous data processing, decision making, and orchestration. Benchmark and optimize agent performance (cost, latency, reliability). Image Classification & Extraction Build and fine tune CNN/ViT models for classification, detection, OCR, and structured data extraction. Create scalable data ingestion, labeling, and augmentation pipelines. LLM Fine Tuning & Retrieval Augmented Generation (RAG) Fine tune open weight LLMs with LoRA/QLoRA, PEFT; perform SFT, DPO, or RLHF as needed. Implement RAG pipelines using vector databases (FAISS, Weaviate, pgvector) and domain specific adapters. Deep Learning at Scale Develop reproducible training workflows in PyTorch/TensorFlow with experiment tracking (MLflow, W&B). Serve models via TorchServe/Triton/KServe on Kubernetes, SageMaker, or GCP Vertex AI. MLOps & Production Excellence Build robust APIs/micro services (FastAPI, gRPC). Establish CI/CD, monitoring (Prometheus, Grafana), and automated retraining triggers. Optimize inference on CPU/GPU/Edge with ONNX/TensorRT, quantization, and pruning. Collaboration & Mentorship Translate product requirements into scalable AI services. Mentor junior engineers, conduct code and experiment reviews, and evangelize best practices. Minimum Qualifications B.S./M.S. in Computer Science, Electrical Engineering, Applied Math, or related discipline. 5+ years building production ML/DL systems with strong Python & Git. Demonstrable expertise in at least one agentic AI framework (LangChain, LangGraph, CrewAI, or comparable). Proven delivery of computer vision models for image classification/extraction. Hands on experience fine tuning LLMs and deploying RAG solutions. Solid understanding of containerization (Docker) and cloud AI stacks (AWS/Azure). Knowledge of distributed training, GPU acceleration, and performance optimization. Please share the following details along with the most updated resume to geeta.negi@compunnel.com if you are interested in the opportunity: Total Experience Relevant experience Current CTC Expected CTC Notice Period (Last working day if you are serving the notice period) Current Location SKILL 1 RATING OUT OF 5 SKILL 2 RATING OUT OF 5 SKILL 3 RATING OUT OF 5 (Mention the skill)

Key Responsibilities: • Develop and implement machine learning models and algorithms. • Work closely with project stakeholders to understand requirements and translate them into deliverables. • Utilize statistical and machine learning techniques to analyze and interpret complex data sets. • Stay updated with the latest advancements in AI/ML technologies and methodologies. • Collaborate with cross-functional teams to support various AI/ML initiatives. Qualifications: • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. • Strong understanding of machine learning , deep learning and Generative AI concepts. Preferred Skills: • Experience in machine learning techniques such as Regression, Classification, Predictive modeling, Clustering, Deep Learning stack, NLP using python • Strong knowledge and experience in Generative AI/ LLM based development. • Strong experience working with key LLM models APIs (e.g. AWS Bedrock, Azure Open AI/ OpenAI) and LLM Frameworks (e.g. LangChain, LlamaIndex). • Experience with cloud infrastructure for AI/Generative AI/ML on AWS, Azure. • Expertise in building enterprise grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advance retrieval patterns. • Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. • Proficiency in generating and working with text embeddings with understanding of embedding spaces and their applications in semantic search and information. retrieval. • Experience with RAG concepts and fundamentals (VectorDBs, AWS OpenSearch, semantic search, etc.), Expertise in implementing RAG systems that combine knowledge bases with Generative AI models. • Knowledge of training and fine-tuning Foundation Models (Athropic, Claud , Mistral, etc.), including multimodal inputs and outputs. • Proficiency in Python, TypeScript, NodeJS, ReactJS (and equivalent) and frameworks. (e.g., pandas, NumPy, scikit-learn), Glue crawler, ETL • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Quicksight). • Knowledge of deep learning frameworks (e.g., TensorFlow, Keras, PyTorch). • Experience with version control systems (e.g., Git, CodeCommit). Good to have Skills • Knowledge and Experience in building knowledge graphs in production. • Understanding of multi-agent systems and their applications in complex problemsolving scenarios

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title And Summary Software Engineer II We are the global technology company behind the world’s fastest payments processing network. We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless®. We ensure every employee has the opportunity to be a part of something bigger and to change lives. We believe as our company grows, so should you. We believe in connecting everyone to endless, priceless possibilities. The Mastercard Launch program is aimed at early career talent, to help you develop skills and gain cross-functional work experience. Over a period of 18 months, Launch participants will be assigned to a business unit, learn and develop skills, and gain valuable on the job experience. Mastercard has over 2 billion payment cards issued by 25,000+ banks across 190+ countries and territories, amassing over 10 petabytes of data. Millions of transactions are flowing to Mastercard in real-time providing an ideal environment to apply and leverage AI at scale. The AI team is responsible for building and deploying innovative AI solutions for all divisions within Mastercard securing a competitive advantage. Our objectives include achieving operational efficiency, improving customer experience, and ensuring robust value propositions of our core products (Credit, Debit, Prepaid) and services (recommendation engine, anti-money laundering, fraud risk management, cybersecurity) Role Gather relevant information to define the business problem Creative thinker capable of linking AI methodologies to identified business challenges Develop AI/ML applications leveraging the latest industry and academic advancements Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda All About You : Demonstrated passion for AI competing in sponsored challenges such as Kaggle Previous experience with or exposure to: Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as Python, R, and SQL Big Data platforms such as Hadoop, Hive, Spark, GPU Clusters for deep learning Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s is a plus. Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono is a plus Concentration in Computer Science Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.