80 Linear Algebra Jobs

As a Computer Vision Architect with 10-15 years of experience, you will be responsible for leading the development of advanced computer vision systems. Your role will involve managing dataset generation, improving image processing techniques, and overseeing model training and pattern recognition projects. You must be proficient in Python and related libraries such as OpenCV, TensorFlow, and PyTorch, with a solid understanding of linear algebra, calculus, and statistics. Your key responsibilities will include leading the computer vision team, providing mentorship and guidance to junior members, developing and implementing strategies for advanced computer vision projects, and collaborating with cross-functional teams to integrate computer vision solutions into products. You will design, develop, and optimize models for image classification, object detection, and segmentation. Additionally, you will innovate and implement state-of-the-art algorithms and techniques for pattern recognition and face detection. In terms of dataset generation and image processing, you will oversee the creation and management of large-scale datasets for training and evaluation. You will also enhance image processing pipelines, focusing on techniques like noise reduction and data compression. As part of model training and evaluation, you will lead the end-to-end process of model training, validation, and deployment. You will utilize Python and relevant libraries (OpenCV, TensorFlow, PyTorch) for model development and training, ensuring models meet accuracy and performance standards through rigorous testing and iteration. Your technical expertise will be crucial in applying strong mathematical foundations in linear algebra, calculus, and statistics to solve complex computer vision problems. It is important to stay updated with the latest research and advancements in the fields of computer vision and machine learning. In terms of project management, you will be responsible for managing multiple projects simultaneously, ensuring timely delivery and adherence to project requirements. Effective communication of progress, challenges, and results to stakeholders is key. To qualify for this role, you should have a Bachelors or Masters degree in Computer Science, Electrical Engineering, Mathematics, or a related field. You should have a proven track record of leading successful computer vision projects and possess excellent problem-solving skills, attention to detail, and strong communication and collaboration skills. Preferred qualifications include publications or patents in the field of computer vision, experience with edge computing and real-time image processing, and familiarity with other programming languages and frameworks related to AI and machine learning.,

About Emeritus: Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 50 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China. Emeritus short courses, degree programs, professional certificates, and senior executive programs help individuals learn new skills and transform their lives, companies and organizations. Its unique model of state-of-the-art technology, curriculum innovation, and hands-on instruction from senior faculty, mentors and coaches has educated more than 250,000 individuals across 80+ countries. Founded in 2015, Emeritus, part of Eruditus Group, has more than 2,000 employees globally and offices in Mumbai, New Delhi, Shanghai, Singapore, Palo Alto, Mexico City, New York, Boston, London, and Dubai. Following its $650 million Series E funding round in August 2021, the Company is valued at $3.2 billion, and is backed by Accel, SoftBank Vision Fund 2, the Chan Zuckerberg Initiative, Leeds Illuminate, Prosus Ventures, Sequoia Capital India, and Bertelsmann. About the Role: The Learning Support Specialist is a subject matter expert and largely impacts the student experience by guiding students through their learning journey. Candidates must have industry experience, demonstrated knowledge of the course subject area, and strong interpersonal skills. This is a full-time, remote role. The purpose of this position is to provide assistance and aid learners enrolled in programs within the fields of machine learning and AI, data engineering, data science, and data analytics. The successful candidate will have proven experience as a data engineer and/or data scientist. The candidate must have excellent time management skills and the desire to work in a fast-paced educational tech environment where supplementing the educational journey of learners is priority. We are looking for a professional who does not mind a busy schedule and wants to provide excellent internal and external customer service. Roles and Responsibilities: Monitor and respond to all student inquiries via the learning management system and learner support software, using compassion and understanding for the student learning journey within 24 hours or less of submission Rely on industry knowledge to quickly and clearly guide students through complex assignments and questions Provide prompt feedback that includes pointed questions that will help guide students towards correct answers and allows them to build problem-solving skills Work with students who are both new to the subject matter, as well as those with experience or who are further along in their careers Suggest course improvements to assigned Program Delivery Manager (PDM) and Designer to ensure content is communicated clearly, accurately, and effectively in videos, assignments and collateral materials Communicate and collaborate with the Emeritus team on a regular basis to enhance course delivery and to solve unexpected course challenges Skills and Qualifications: 5+ years of extensive work experience in the field of data engineering, data science, or data analytics Professional and/or academic experience in machine learning and artificial intelligence Proficiency in JavaScript, Python, and the use of GitHub Experience using data visualization tools (i.e. Tableau) Experience using Microsoft Azure Advanced academic background in mathematics, particularly statistics, calculus, and linear algebra Excellent verbal and written communication and interpersonal skills with an ability to listen effectively, respond appropriately, and maintain a mutual comfort level while working with a diverse student population Experience using Canvas or other related learning management system Preferred Qualifications: Experience using Slack and Teams, as communication tools Experience working with support/service software or ticketing system Experience with using bug tracking and feedback tools Emeritus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. In press: https://www.insidehighered.com/blogs/learning-innovation/why-chan-zuckerberg-backed-113-million-investment-eruditus-big-deal https://techcrunch.com/2020/08/31/chan-zuckerberg-initiative-backs-indian-education-startup-eruditus-in-113-million-fundraise/ Show more Show less

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.,

Othor AI is seeking a talented and motivated Mathematician Research Intern to join our decision intelligence team. This internship offers an exceptional opportunity to work at the intersection of advanced mathematics, artificial intelligence, and real-world decision-making systems. You&aposll contribute to cutting-edge research that transforms how organizations make complex decisions through mathematical modeling and AI-driven insights. Key Responsibilities Develop and analyze mathematical models for decision optimization problems Research and implement novel algorithms for multi-criteria decision analysis Collaborate with AI researchers to integrate mathematical frameworks into machine learning pipelines Conduct theoretical analysis of decision intelligence algorithms and their convergence properties Prototype mathematical solutions using Python, R, or MATLAB Contribute to research publications and technical documentation Present findings to cross-functional teams and external stakeholders Assist in developing mathematical foundations for explainable AI decision systems Required Qualifications Currently pursuing or recently completed Master&aposs or PhD in Mathematics, Applied Mathematics, Operations Research, or related field Strong background in optimization theory, linear algebra, and probability theory Experience with mathematical modeling and algorithm development Proficiency in at least one programming language (Python, R, MATLAB, or Julia preferred) Knowledge of statistical analysis and numerical methods Excellent analytical and problem-solving skills Strong written and verbal communication abilities Ability to work independently and collaboratively in a fast-paced research environment Preferred Qualifications Experience with machine learning and artificial intelligence concepts Background in game theory, decision theory, or multi-objective optimization Familiarity with deep learning frameworks (TensorFlow, PyTorch) Experience with mathematical software (Mathematica, Maple, or similar) Previous research experience in applied mathematics or related fields Publications in peer-reviewed journals or conferences Knowledge of reinforcement learning or Bayesian methods What We Offer Mentorship from leading researchers in decision intelligence and AI Opportunity to work on challenging, real-world mathematical problems Access to cutting-edge computational resources and research tools Collaborative environment with opportunities for professional growth Competitive internship compensation Potential for publication opportunities and conference presentations Flexible hybrid work arrangements Networking opportunities within the AI and decision science community Duration & Commitment 3-6 month internship with potential for extension Full-time commitment (40 hours/week) preferred Part-time arrangements considered for exceptional candidates Start date flexible based on candidate availability About Othor AI Othor AI is at the forefront of decision intelligence, developing AI systems that help organizations make better decisions through advanced mathematical modeling and machine learning. Our multidisciplinary team combines expertise in mathematics, computer science, and domain-specific knowledge to solve complex real-world problems. Show more Show less

Career Point University, Kota School of Basic & Applied Sciences invites applications from prospective & eligible candidates for the vacant post of Assistant Professor - Mathematics. Key Responsibilities: Conduct undergraduate and postgraduate classes in Mathematics. Participate in academic planning, curriculum development, and departmental activities. Organise and coordinate seminars, workshops, and conferences. Supervise student projects, dissertations, and research activities. Collaborate with academic and research institutions for joint initiatives. Eligibility Criteria: Ph.D. in Mathematics from a recognised University/Institution. NET (National Eligibility Test) qualification is mandatory. Proven academic and research credentials, including publications in reputed journals, authored books, patents, or technology development. How to Apply: Interested candidates may email their updated CV to hr@cpur.edu.in or contact us at +91-9057532005 for further information.

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Business Consulting QAS- Quantitative Trading Book (QTB) Profile: Quant Analyst/ Consultant/ Manager EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services leveraging deep industry experience with strong functional capability and product knowledge. FSO practice offers integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include market, credit, and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls. Within EY's FSO Advisory Practice, the Financial Services Risk Management (FSRM) group provides solutions to help FSO clients identify, measure, manage, and monitor market (trading book), credit (banking book), operational, and regulatory risks associated with their trading, asset-liability management, capital management, and other capital markets activities. The Market Risk (MR) team within FSRM assists clients in designing and implementing strategic and functional changes across risk management, treasury, front office, middle office, and back office activities with a focus on risk and valuation processes, regulatory compliance, analytics, strategy, and organizational structure. Your key responsibilities include demonstrating deep technical capabilities and industry knowledge of financial products, leading components of large-scale client engagements, understanding market trends and demands in the financial services sector, monitoring progress, managing risk, and effectively communicating with key stakeholders, and playing an active role in mentoring junior consultants within the organization. To qualify for the role, you should have an Undergraduate (4-year degree) or Masters (Computational Finance, Mathematics, Engineering, Statistics, or Physics preferred) or Ph.D. in quantitative topics with at least 2-10 years of relevant experience. Additionally, you should have working knowledge or academic experience of statistical and numerical techniques, knowledge of mathematical concepts related to pricing derivatives for various asset classes, strong risk management/model development/validation knowledge, good hands-on experience in model development/validation/monitoring/audit procedures, knowledge of mathematical concepts like Stochastic Calculus, Differential and Integral calculus, strong coding skills in programming languages like Python and R, excellent communication and strong problem-solving skills, project management experience, and report writing experience. Good-to-have qualifications include certifications such as FRM, CQF, CFA, PRM, regulatory knowledge/experience in areas such as Basel, CCAR, and FRTB, ETRM/CTRM systems experience, pricing/risk management system knowledge/experience, willingness to travel to meet client needs, experience in stakeholder and client management, and contributing to people initiatives. EY offers a competitive compensation package, a collaborative environment, excellent training and development prospects, an excellent team of senior colleagues, and opportunities to contribute to developing intellectual capital to support delivering superior outcomes for clients and the firm. EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.,

As a Game Developer, you will collaborate with the game development team to design, develop, and implement high-quality multiplayer games using Unreal Engine. Leveraging your expertise in vector math and linear algebra, you will create immersive and realistic gaming experiences. Applying strong object-oriented programming (OOP) concepts, data structures, and algorithms, you will optimize game performance and enhance player experience. Your solid programming skills in C++ or C# will be essential in developing and maintaining game systems, mechanics, and gameplay features. Creatively and effectively solving complex problems, you will ensure smooth gameplay mechanics, efficient resource management, and optimal game performance. Operating in an agile development environment, you will follow Scrum methodologies to deliver high-quality games within designated timelines. Collaborating with artists, designers, and other developers, you will integrate assets, animations, and visual effects into the game engine. It is imperative to stay up to date with the latest advancements and best practices in game development, actively participating in knowledge sharing and continuous learning. You should possess a minimum of 1 to 2+ years of experience in game development, particularly in Unreal Engine. Candidates proficient in Unity3D and open to transitioning to Unreal Engine will also be considered. Your extensive experience in working on multiplayer games is crucial, as it demonstrates your understanding of the challenges and intricacies involved in developing interactive online gaming experiences. Strong knowledge of vector math and linear algebra will enable you to implement advanced game mechanics and physics simulations. Proficiency in OOP concepts, data structures, and algorithms is essential for ensuring clean and efficient code. Your solid programming skills in C++ or C# should allow you to write optimized and maintainable code. Excellent problem-solving skills are required, as you will need to think creatively and devise innovative solutions to technical challenges. Familiarity with agile and Scrum development methodologies is important, as it underscores the significance of iterative development, frequent releases, and continuous improvement. Strong communication and collaboration skills are also necessary for effective teamwork within the development environment.,

Job Title: Assistant Professor Mathematics Department: Science & Humanities (S&H) Institution: CARE College of Engineering, Trichy Position Summary: We are seeking a dynamic and dedicated Assistant Professor in Mathematics to join the S&H Department. The candidate will be responsible for teaching core mathematics subjects to engineering students, contributing to curriculum development, and fostering a strong learning environment through innovative pedagogy and continuous student engagement. Key Responsibilities: Deliver lectures and tutorials in Engineering Mathematics and related subjects to undergraduate students. Prepare and update lesson plans, course materials, and assessments in line with curriculum requirements. Guide students in academic projects and support their mathematical understanding across disciplines. Participate in departmental activities, academic planning, and student mentoring. Contribute to research, publications, and faculty development initiatives. Take part in faculty development programs, workshops, and seminars. Collaborate with colleagues across departments to integrate mathematical tools into engineering subjects. Qualifications: M.Sc. in Mathematics with M.Phil. and NET/SET or Ph.D. Prior teaching experience in engineering

As an experienced and passionate AI/ML Trainer, you will be responsible for delivering hands-on training for a structured Artificial Intelligence & Machine Learning program. This contract-based opportunity is ideal for professionals with strong technical expertise and a flair for teaching. Your key responsibilities will include delivering in-depth classroom and lab-based training sessions on core AI/ML topics, designing, developing, and maintaining training material, assignments, and project modules, conducting doubt-clearing sessions, assessments, and live coding exercises, guiding students through capstone projects and real-world datasets, evaluating learner performance, and providing constructive feedback. It will also be your responsibility to stay updated with the latest industry trends, tools, and techniques in AI/ML. The topics you will cover during the training sessions include Python for Data Science, Statistics and Linear Algebra Basics, Machine Learning (Supervised, Unsupervised, Ensemble Techniques), Deep Learning (ANN, CNN, RNN, etc.), Natural Language Processing (NLP), Model Deployment (Flask, Streamlit, etc.), and hands-on experience with libraries like NumPy, Pandas, Scikit-learn, TensorFlow/Keras, OpenCV, and tools such as Jupyter, Git, Google Colab, and VS Code. To be eligible for this role, you should have a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, along with at least 24 years of relevant industry/training experience in AI/ML. Strong communication and presentation skills are essential, as well as the ability to mentor and engage learners of varying skill levels. Prior training or teaching experience, whether academic or corporate, is preferred. Your skills should include expertise in ML, scikit-learn, TensorFlow, Jupyter, Natural Language Processing, OpenCV, Python for Data Science, Google Colab, Deep Learning, Model Deployment, NumPy, Keras, Linear Algebra, Statistics, Pandas, Git, VS Code, and a good understanding of contractual, artificial intelligence, and machine learning concepts.,

You are a full-time Computer Vision Developer based in Gurugram, responsible for designing, developing, and optimizing computer vision pipelines and algorithms for real-time applications. Your role includes working on object detection, tracking, OCR, and edge AI deployment. You will collaborate closely with cross-functional teams to integrate vision models into embedded systems and smart devices, contributing to the development of AI-powered products from prototype to production. Your key responsibilities will involve developing and implementing computer vision algorithms, optimizing models for real-time inference on edge devices, preprocessing and annotating image/video datasets for training and validation, training, fine-tuning, and evaluating deep learning models using frameworks like PyTorch or TensorFlow. You will also integrate models into production pipelines, conduct research on state-of-the-art vision techniques, debug, profile, and optimize performance for low-latency deployments, and collaborate across software, hardware, and product teams for end-to-end solution delivery. Qualifications for this role include strong hands-on experience in computer vision, proficiency with deep learning frameworks like PyTorch, TensorFlow, ONNX, experience with pattern recognition, object detection, segmentation, or OCR, familiarity with embedded systems, NVIDIA Jetson, or ARM-based platforms, solid understanding of image processing, linear algebra, and optimization techniques, experience with data annotation tools like LabelImg, CVAT, Roboflow, strong problem-solving and debugging skills, and a Bachelors or Masters degree in Computer Science, AI, or related fields. Bonus qualifications include experience with real-time video processing, GStreamer, or edge model quantization.,

We are seeking a Data Scientist with over 4 years of experience to analyze and extract data, providing actionable insights and developing scalable analytics solutions. The ideal candidate must be able to generate insights for digital products & services, build automated frameworks for business stakeholders, and offer insights on various aspects including Personalization, Search & Navigation, SEO, Supply Chain, and Services. Additionally, developing dashboards for financial results, customer satisfaction, and engagement metrics, as well as conducting predictive & prescriptive modeling to ensure the organization's competitive edge are crucial responsibilities. Keeping abreast of industry trends, emerging technologies, and methodologies is essential, along with collaborating across teams to translate business problems into data-driven solutions. Furthermore, ensuring solutions are scalable, implementable, and impactful while following enterprise project management practices for execution is necessary. The ideal candidate should possess intermediate knowledge of Data Science algorithms such as clustering, regression, and optimization. Proficiency in Python 3 with libraries like NumPy, Pandas, SciPy, Sklearn, TensorFlow, and PyTorch is required, along with basic to intermediate SQL skills. Data visualization using tools like Matplotlib, Seaborn, and Plotly, experience with cloud platforms (preferably GCP, with AWS/Azure also acceptable), and ML deployment at scale using platforms like Kubeflow, VertexAI, Airflow, and PySpark are essential. A strong understanding of probability, statistics, and basic linear algebra is crucial, as well as the ability to propose end-to-end solutions from business use cases and communicate technical concepts effectively. Nice-to-have skills include experience with advanced DS algorithms, exposure to advanced mathematics, familiarity with microservices APIs, model monitoring, debugging tools, and applying academic research to real-world problems. Candidates must hold a Bachelor's degree with 4 years, a Master's degree with 2 years, or a Ph.D. with 1 year in Mathematics, Statistics, Computer Science, Data Science, or related fields. Programming experience in Python is required, with Java/Scala/Rust considered a plus. A strong grasp of machine learning techniques and cloud-based solutions is necessary. This role offers the opportunity to work on cutting-edge AI/ML projects, solve complex business problems, and thrive in a collaborative and fast-paced environment. Immediate joiners or candidates with up to a 15-day notice period are highly preferred.,

Tata Electronics Pvt. Ltd. is a key global player in the electronics manufacturing industry, specializing in Electronics Manufacturing Services, Semiconductor Assembly & Test, Semiconductor Foundry, and Design Services. Established in 2020 by the Tata Group, the company's primary objective is to provide integrated solutions to global customers across the electronics and semiconductor value chain. We are looking for an AI Core Developer to join our R&D team in Bangalore. This role is centered around fundamental AI research, algorithm development, and model pre-training, focusing on innovation rather than application engineering. As an AI Core Developer, you will be involved in cutting-edge AI research, creating novel algorithms, and constructing foundation models from scratch. This position is ideal for individuals with a strong background in pre-training methodologies and algorithm development who aspire to contribute to core AI advancements. Your responsibilities will include developing and implementing innovative machine learning algorithms for various AI systems, designing pre-training pipelines for large models, prototyping new AI architectures, collaborating with research scientists and engineers, and contributing to technical publications. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, with 2-4 years of hands-on experience in AI/ML development. Proficiency in Python, C/C++, knowledge of deep learning frameworks such as PyTorch and TensorFlow, and experience with model pre-training are essential requirements. Strong mathematical skills, familiarity with transformer architectures and attention mechanisms, and understanding of distributed computing are also key competencies. Preferred qualifications include advanced experience in multimodal AI systems, research contributions to top-tier AI conferences, and expertise in specific AI domains like healthcare or finance. The position is based in Bangalore, India, with a hybrid work arrangement and occasional travel for conferences and collaborations.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll 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. Good knowledge and expertise on data structures and algorithms and calculus, linear algebra, machine learning, and modeling. Experience in data warehousing concepts including Star schema, snowflake, or data vault for data mart or data warehousing. Experience using data modeling software like Erwin, ER studio, MySQL Workbench to produce logical and physical data models. Knowledge of enterprise databases such as DB2/Oracle/PostgreSQL/MYSQL/SQL Server. Hands-on knowledge and experience with tools and techniques for analysis, data manipulation, and presentation (e.g. PL/SQL, PySpark, Hive, Impala, and other scripting tools). Experience with Software Development Lifecycle using the Agile methodology. Knowledge of agile methods (SAFe, Scrum, Kanban) and tools (Jira or Confluence). Expertise in conceptual modeling; ability to see the big picture and envision possible solutions. Experience in working in a challenging, fast-paced environment. Excellent communication & stakeholder management skills. Experience in data warehousing concepts including Star schema, snowflake, or data vault for data mart or data warehousing. Experience using data modeling software like Erwin, ER studio, MySQL Workbench to produce logical and physical data models. Experience in working in a challenging, fast-paced environment. Excellent communication & stakeholder management skills. 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 the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. We're committed to ensuring 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. Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events, yoga challenges, or marathons. 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 fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

We are seeking engineers or applied scientists who have expertise in implementing data mining and machine learning systems to contribute to the development of an innovative online education platform that is tailored to the unique needs of each student. Your responsibilities will include: - Demonstrating a strong passion and enthusiasm for constructing scalable systems that can analyze extensive datasets and provide actionable insights. - Showcasing a proven track record of identifying connections within vast and seemingly unrelated datasets. - Displaying the ability to work with incomplete or imperfect data sets effectively. - Possessing knowledge of linear algebra and proficiency in manipulating data through matrix algorithms. - Having the capability to develop and interpret probabilistic models of intricate, multi-dimensional systems. - Demonstrating experience in quantitative analysis using Python. - Having familiarity with database technologies like SQL. - Showcasing solid programming skills in Java, C, C++, or Python. Preferred experience with the following technologies: - Collaborative filtering. - Decision trees and automatic tree generation. - Bayesian methods. - Clustering techniques including principal components analysis, k-means, etc. Desired qualifications include: - Proficiency in Hadoop or other MapReduce implementations. - Experience in semantic text mining or natural language processing. - Prior involvement in high-stakes information retrieval and statistical analysis, such as Bioinformatics or Fraud Detection. If you believe you meet these qualifications and are excited about this opportunity, please send your resume to info@zunopy.com.,

As a Data Scientist at Clari5.ai, you will be an integral part of our specialist team dedicated to Artificial Intelligence & Machine Learning. Your role involves defining, prototyping, and implementing data science models and algorithms that contribute to our innovative product. From data collection to model building to monitoring the model in production, you will take ownership of the entire process. Collaborating with product managers and domain experts, you will drive the business outcomes and metrics influenced by the data science solutions. Working closely with the product managers and engineering team, you will establish best practices and standards for the team. Additionally, you will have the opportunity to mentor junior colleagues and conduct internal workshops to foster a culture of data-driven decision making within the organization. To excel in this role, you should have 3-8 years of experience in model building, along with a strong foundation in mathematics relevant to data science such as probability, statistics, and linear algebra. Your ability to translate business challenges into technical problems solvable through data, mathematics, statistics, and machine learning is crucial. Previous experience in executing 2-3 end-to-end machine learning projects is essential. Proficiency in either R or Python is a must, coupled with hands-on experience working with SQL databases. Familiarity with handling large datasets from diverse sources is advantageous, as is a conceptual understanding of big data technologies like Hadoop, HDFS, and Spark. Prior exposure to Natural Language Processing, Recommender Systems, or Social Network Analysis will be highly valued. In terms of education, a Bachelor's degree or equivalent combination of education with at least 3 years of experience is required. A Bachelor's degree in Computer Science or a Master's in Mathematics/Statistics is preferred. Join us at Clari5, an industry leader in Financial Crime Risk Management Systems, recognized for our innovative solutions and expertise in combating financial fraud. Be part of a dynamic global team driving real-time, cross-channel banking Enterprise Fraud Management using cutting-edge AI technology. If you are passionate about data science and eager to contribute to a market-leading organization, we invite you to apply and become a key player in our mission to revolutionize fraud management strategies worldwide.,

Your Role As a Data Modeler , you will play a critical role in designing and implementing robust data models that support enterprise data warehousing and analytics initiatives. You will Apply your strong foundation in data structures, algorithms, calculus, linear algebra, and machine learning to design scalable and efficient data models. Leverage your expertise in data warehousing concepts such as Star Schema, Snowflake Schema, and Data Vault to architect and optimize data marts and enterprise data warehouses. Utilize industry-standard data modeling tools like Erwin, ER/Studio, and MySQL Workbench to create and maintain logical and physical data models. Thrive in a fast-paced, dynamic environment, collaborating with cross-functional teams to deliver high-quality data solutions under tight deadlines. Demonstrate strong conceptual modeling skills, with the ability to see the big picture and design solutions that align with business goals. Exhibit excellent communication and stakeholder management skills, effectively translating complex technical concepts into clear, actionable insights for both technical and non-technical audiences. Your Profile Good knowledge and expertise on data structures and algorithms and calculus, linear algebra, machine learning and modeling. Experience in data warehousing concepts including Star schema, snowflake or data vault for data mart or data warehousing Experience using data modeling software like Erwin, ER studio, MySQL Workbench to produce logical and physical data models. Experience in working in a challenging , fast-paced environment Expertise in conceptual modelling; ability to see the big picture and envision possible solutions Excellent communication & stakeholder management skills. Experience in working in a challenging, fast-paced environment Excellent communication & stakeholder management skills. 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 the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications. About Capgemini

Review and analyze Market Risk and Portfolio models like VaR, ES, EC, RNIV, RNIEC etc. Understand the mathematical models and implementation methods used, where appropriate, verify models and numerical schemes. Communicate outcomes of your review and analysis with key model stakeholders including risk managers, validation leads and model development teams as necessary. Your skills and experience Educated to Masters/ Doctor of Philosophy (Ph.D.) level or equivalent qualification/ relevant work experience in a quantitative subject such as Mathematics, Physics, Quantitative Finance or Quantitative Economics. Experience in model validation or model development Excellent mathematical abilities and an understanding of Linear Algebra, Calculus, Partial Differential Equations, Monte-Carlo Methods, Historical Simulation Methods, finite difference methods and numerical algorithms, statistics, or mathematical finance. Strong programming skills. Good knowledge about financial products / derivatives and the financial risks related to them is essential. Excellent communication skills, both written and verbal Ability to author structured and concise validation reports. Fluent in English (written and spoken).

As a Senior Software Engineer at Procore, you will play a crucial role in our Product & Technology Team, dedicated to enhancing the construction industry with our innovative global platform. You will lead complex projects, offer technical guidance, and mentor fellow engineers, focusing on high-level design and architecture to ensure alignment with the organization's strategic goals. Collaborating with Product Managers, Designers, and engineers, you will work on developing cutting-edge features utilizing BIM 3D technology to tackle challenging issues in the construction sector. Reporting to a Senior Software Engineering Manager in Pune, you will contribute to product feature development using Procore's BIM technologies. Your responsibilities include setting development standards, collaborating on cross-team initiatives, and participating in the design and implementation of systems aligned with Procore's technical vision. You will work across the stack to deliver code for microservices, React front ends, and Rails apps, while driving innovation to cater to enterprise and international customers. Additionally, you will collaborate with cross-functional teams to create user-centric solutions and mentor engineers in best practices to ensure the delivery of high-quality software. To be successful in this role, you should hold a Bachelor's Degree in Computer Science or a related field, with at least 5 years of experience in programming fundamentals, Test Driven Development, and design principles. Proficiency in Golang, TypeScript, HTML, CSS, and modern frontend frameworks like React is required. You should also have a strong understanding of RESTful API design, experience with Golang, PostgreSQL, Node.js, and frameworks like Express.js or Next.js. Knowledge of Service-Oriented Architecture and experience in building continuous integration and delivery systems at scale are essential. If you have familiarity with BIM, knowledge of linear algebra, experience with serverless frameworks, event streaming platforms like Apache Kafka, or automated testing frameworks such as Jest, Mocha, and Cypress, it would be considered a bonus. Your ability to anticipate technical challenges, collaborate on large initiatives, and document complex solutions will be valuable in this role. Procore offers a range of benefits and perks to support your growth and well-being, while fostering a culture of innovation and ownership. Join us today and be part of a team that is shaping the future of construction technology.,

You will be joining a forward-thinking team at Tecblic, a company specializing in delivering AI-driven solutions to empower businesses in the digital age. If you are passionate about Large Language Models (LLMs), machine learning, and pushing the boundaries of Agentic AI, we welcome you to be a part of our innovative team. As a Machine Learning Engineer at Tecblic, your key responsibilities will include conducting research and development to design and fine-tune machine learning models, with a specific focus on LLMs and Agentic AI systems. You will be responsible for optimizing pre-trained LLMs for domain-specific use cases, collaborating with software engineers and product teams to integrate AI models into customer-facing applications, and performing data preprocessing, pipeline creation, feature engineering, and exploratory data analysis for dataset preparation. Additionally, you will design and implement model deployment pipelines, prototype innovative solutions using cutting-edge techniques, and provide technical mentorship to junior team members. In terms of core technical skills, we require proficiency in Python for machine learning and data science tasks, expertise in ML frameworks and libraries like PyTorch, TensorFlow, and Hugging Face, a solid understanding of LLMs such as GPT, T5, BERT, or Bloom, experience in NLP tasks, knowledge of deep learning architectures, strong data manipulation skills, and familiarity with cloud services and ML model deployment tools. Exposure to Agentic AI, MLOps tools, generative AI models, prompt engineering, few-shot/fine-tuned approaches for LLMs, vector databases, version control, and collaborative development practices would be considered advantageous. Furthermore, we are looking for individuals with a strong analytical and mathematical background, including proficiency in linear algebra, statistics, and probability, as well as a solid understanding of algorithms and data structures to solve complex ML problems. Soft skills such as excellent problem-solving, critical-thinking, communication, collaboration, self-motivation, and continuous learning mindset are also highly valued. If you are ready to contribute your expertise and passion for machine learning and AI to a dynamic and innovative team, Tecblic is the place for you. Join us in pushing the boundaries of technology and creating impactful AI-driven solutions for businesses in the digital era.,

At QpiAI, we are at the forefront of the discovery of optimal AI and Quantum systems in various industries such as Life sciences, Healthcare, Transportation, Finance, Industrial, and Space technologies. Our focus lies in building full-stack Enterprise Quantum Computers. As a part of the QpiAI Quantum hardware team, your role will involve the design and characterization of Quantum Processors, Cryogenic Quantum Control Circuits, RF Control Hardware, and QpiAI ASGP. We are currently seeking a talented engineer with a strong mathematical background and sharp algorithmic skills to join us in building a high-performance optimization infrastructure. This infrastructure will cater to real-world decision-making problems in domains like logistics, manufacturing, and emerging technologies. We need someone who excels at translating abstract optimization problems into efficient, production-ready solvers. Key Responsibilities - Design and implement fast, scalable solvers for complex optimization problems in both discrete and continuous domains. - Develop constraint modeling frameworks and metaheuristic algorithms based on solid mathematical principles. - Evaluate solution quality, convergence behavior, and performance benchmarks across various instances and datasets. - Collaborate with system engineers to seamlessly integrate your solver modules into larger optimization stacks and real-time decision systems. - Explore and incorporate techniques from mathematical programming, stochastic methods, and quantum-inspired approaches. What We're Looking For - Strong mathematical foundation including expertise in linear algebra, combinatorics, graph theory, numerical methods, convex and discrete optimization. - Proficiency in algorithmic and systems thinking, with the ability to write efficient, optimized code and address performance bottlenecks. - Exceptional programming skills in Python and C++ (or Rust/Julia); familiarity with low-level optimizations and profiler-driven development is advantageous. - Experience in algorithm design for constraint systems, heuristics, and metaheuristics. - Hands-on coding experience with a notable presence on platforms like Leetcode, Codeforces, or Hackerrank. - Product-oriented mindset with the capability to design modular, reusable, and scalable solvers suitable for production systems. - Exposure to quantum computing or hybrid quantum-classical paradigms is a bonus. Good to Have - Familiarity with model encoding techniques and constraint representations. - Experience in benchmarking on large-scale combinatorial datasets. - Participation in mathematical modeling competitions such as INMO, COMAP, or Kaggle competitions involving optimization. Why Join Us By joining our team, you will collaborate closely with professionals who view optimization not just as a mathematical puzzle but as an engineering challenge. If you are passionate about developing fast solvers, exploring boundaries in hybrid or hardware-accelerated optimization, and tackling problems at scale, we would be thrilled to have you onboard.,

As a Python Developer, you will be responsible for building supervised (GLM ensemble techniques) and unsupervised (clustering) models using standard industry libraries such as pandas, scikit-learn, and keras. Your expertise in big data technologies like Spark and Dask, as well as databases including SQL and NoSQL, will be essential in this role. You should have significant experience in Python, with a focus on writing unit tests, creating packages, and developing reusable and maintainable code. Your ability to comprehend and articulate modeling techniques, along with visualizing analytical results using tools like matplotlib, seaborn, plotly, D3, and Tableau, will be crucial. Experience with continuous integration and development tools like Jenkins, as well as Spark ML pipelines, will be advantageous. We are looking for a self-motivated individual who can collaborate effectively with colleagues and contribute innovative ideas to enhance our projects. Preferred qualifications include an advanced degree with a strong foundation in the mathematics behind machine learning, including linear algebra and multivariate calculus. Experience in specialist areas such as reinforcement learning, NLP, Bayesian techniques, or generative models will be a plus. You should excel at presenting ideas and analytical findings in a compelling manner that influences decision-making. Demonstrated evidence of implementing analytical solutions in an industry context and a genuine enthusiasm for leveraging data science to enhance customer-centricity in financial services ethically are highly desirable qualities for this role.,

Join our specialized team as a Computer Vision and 3D Engineering Intern focused on multi-camera systems, calibration, and triangulation. This role offers hands-on experience with cutting-edge 3D reconstruction and spatial computing technologies. Responsibilities: - Develop and implement algorithms for multi-camera systems - Work on camera calibration techniques and procedures - Create and optimize 3D triangulation methods - Assist in testing and validating computer vision implementations - Contribute to research and development of new spatial computing approaches - Document technical processes and findings Requirements: - Currently pursuing a degree in Computer Science, Computer Vision, or related field - Strong foundation in computer vision concepts and 3D geometry - Experience with OpenCV, PCL, or similar computer vision libraries - Programming skills in C++ and/or Python - Understanding of camera models and calibration techniques - Mathematical background in linear algebra and geometry - Previous projects involving 3D reconstruction (preferred) What You'll Learn: - Professional multi-camera system development - Advanced calibration and triangulation methods - 3D reconstruction workflows - Practical implementation of theoretical computer vision concepts,

The Computer Vision Engineer position in Pune, India requires an individual with 3+ years of experience who is passionate about joining a dynamic startup team. As a Computer Vision Engineer, your primary responsibility will be to conduct research, develop, maintain, and create scalable CV/ML technologies capable of analyzing video feeds of users engaging in online sessions while identifying anomalies. To qualify for this role, you should possess a BS/MS degree in Computer Science or have equivalent industry and/or research experience in areas such as Artificial Intelligence, Computer Vision, Machine Learning, Image Processing, or Computer Graphics. Proficiency in C/C++ and Python, along with a strong background in a Linux environment is essential. Experience with tools like OpenCV, Numpy, SciPy, Sklearn, and GIT is also required. Desirable skills include expertise in image classification, segmentation, and autonomous feature learning, as well as a solid grasp of linear algebra, optimization, probability, and statistics. Additionally, knowledge of software architecture, API design, parallel programming, and Vision applications will be advantageous. Effective communication skills to convey technical information clearly to both technical and non-technical audiences are crucial for this role. The position is full-time and offers competitive compensation based on experience, including salary and benefits.,

The Portfolio Models and Alpha Model Validation Specialist, Associate role based in Mumbai, India is a part of the Model Risk Management (MoRM) team at Deutsche Bank. MoRM is responsible for managing model risk by independently validating internal models and monitoring and controlling model risk. The Portfolio Models and Alpha validation team within MoRM focuses on validating portfolio models developed for Credit Risk, Business Risk, Operational Risk, and Risk Type Diversification. As a Portfolio Models and Alpha Model Validation Specialist, your key responsibilities will include independent validation of models and model changes, performing quantitative analyses, enhancing validation concepts, and ensuring adherence to model risk standards like SR11-07. To be successful in this role, you should have an academic degree in Mathematics, Statistics, Physics, Econometrics, or a similar discipline. You should possess 2-7 years of professional experience in Operational risk and Portfolio Risk model development or validation. Strong mathematical abilities and proficiency in programming languages like Python, Matlab, R, C++, and experience in Machine Learning are essential. Additionally, you should have IT affinity, data analysis skills, and a good understanding of IT processes. The role offers benefits such as a best-in-class leave policy, gender-neutral parental leaves, reimbursement under childcare assistance benefit, sponsorship for industry relevant certifications, Employee Assistance Program, comprehensive insurance coverage, and health screening. Training and development opportunities, coaching, and a culture of continuous learning are provided to support your career growth. Deutsche Bank promotes a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. They encourage a positive, fair, and inclusive work environment where all individuals are welcome. For more information about Deutsche Bank, please visit their company website at https://www.db.com/company/company.htm.,

Role Title: Manager, Cross Platform Strategy Analytics (09) Synchrony is a premier consumer financial services company that provides a complete digitally enabled product suite across various industries. Recognized as one of India's Best Companies to Work for and a leader in fostering a culture of innovation, we are committed to diversity and providing our employees with flexibility, choice, and top-notch benefits. As a Manager in the Cross Platform Strategy Analytics team within the India Analytics Hub, you will play an integral role as an individual contributor. Your primary focus will be on leveraging data and analytical tools to deliver solutions that enhance customer experience and drive business growth. You will be responsible for understanding business requirements, developing prototypes, and generating actionable insights to support Synchrony's growth and profitability. Key Responsibilities: - Independently solve a variety of problems using your expertise in Data and Analytical Tools - Collaborate on cross-platform initiatives and develop scalable solutions - Partner on strategic ideas and proof of concepts to drive revenue growth - Ensure timely delivery, accuracy, and documentation in alignment with Audit Procedures - Mentor and guide team members on tools and processes Required Skills/Knowledge: - BS or MS in Statistics, Economics, Mathematics, or a related quantitative field with 2+ years of hands-on Analytics experience - Proficiency in SQL, SAS, Tableau, or Open Source Tools with the ability to independently build queries for data extraction and aggregation - Understanding of key concepts in Retail Finance and the ability to translate them into quantitative attributes - Capability to define methodology, present insights, and influence decision-making Desired Skills/Knowledge: - 2+ years of analytics/data science experience in the Financial Services Industry - Proficiency in Python and R, preferably in a Linux-based cloud environment like AWS - Knowledge of multivariable calculus, linear algebra, and ML methods such as k-Nearest Neighbors, Naive Bayes, SVM, Random Forest, etc. Eligibility Criteria: - BS or MS in Statistics, Economics, Mathematics, or a related quantitative field with 2+ years of hands-on Analytics experience - Flexible Shifts For Internal Applicants: - Understand the criteria and mandatory skills required for the role before applying - Inform your Manager or HRM before applying for any role on Workday - Ensure your Professional Profile is updated and upload your updated resume - Not under any corrective action plan - L4 to L7 Employees who have completed 12 months in the organization and 12 months in the current role are eligible - L8+ Employees who have completed 18 months in the organization and 12 months in the current role are eligible - L4+ employees can apply Grade/Level: 09 Join our dynamic team to drive innovation and growth through data-driven strategies in the Data Analytics domain.,