156 Linear Algebra Jobs - Page 4

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.,

The position of Debt Strategic Analytics Analyst at Deutsche CIB Centre Pvt Ltd in Mumbai, India involves working within the Strategic Analytics Group to implement quant-driven analytics on a common platform at Deutsche Bank. The Strategic Analytics Group collaborates closely with onshore teams in New York, London, Frankfurt, and Singapore to meet functional and regulatory requirements aligned with specific business verticals. The primary focus of this role is on the Corporate Banking business of the bank, working in conjunction with strats teams and business desks in London and New York to deliver optimized solutions on a scalable platform. The candidate will be responsible for understanding business requirements, gathering necessary information, and implementing projects utilizing Python and C++ programming languages. Effective communication skills are essential to coordinate with stakeholders globally. The role entails various responsibilities, including implementing IRRBB regulatory requirements for Corporate Banking, developing frameworks for projecting Net Interest Income, identifying risk factors, conducting what-if scenarios, performing End of Day Risk and PnL calculations for Global Transaction Banking products, optimizing funding requirements, and institutional loan profiles based on deposits and regulatory requirements per region. Applicants are required to have strong programming skills in Object-Oriented Programming languages with at least 2 years of experience in the financial industry, knowledge of Data Structures & Algorithms, and experience working with relational databases like Oracle and Mysql. Quantitative skills in Probability, Calculus, and Linear algebra, along with familiarity with financial products and pricing/risk calculation, are preferred. Strong communication, presentation, problem-solving, and analytical skills are essential, with an inclination to learn Finance and econometrics on the job. A solid educational background in Engineering/Science from Tier 1 colleges in India is preferred. Deutsche CIB Centre Pvt Ltd offers a range of benefits, including best-in-class leave policies, gender-neutral parental leaves, flexible working arrangements, childcare assistance, Employee Assistance Program, comprehensive insurance coverage, and more. Additionally, the company provides training, coaching, and a culture of continuous learning to support career development and personal growth. Deutsche Bank Group fosters a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. The company values diversity, inclusivity, and fairness in the workplace, promoting a positive work environment for all individuals. Applicants are encouraged to visit the company's website for further information and to apply for this exciting opportunity in Debt Strategic Analytics.,

The ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning, and Generative AI. This team is a leader in creating new ideas, innovative technology solutions, and ground-breaking solutions for Markets Operations and Other Line of Businesses. We work closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence. The ML Solutions team is seeking a Data Scientist/Machine Learning Engineer to drive the design, development, and deployment of innovative AI/ML and GenAI-based solutions. In this hands-on role, you will leverage your expertise to create a variety of AI models, guiding a team from initial concept to successful production. A key aspect involves mentoring team members and fostering their growth. You will collaborate closely with business partners and stakeholders, championing the adoption of these advanced technologies to enhance client experiences, deliver tangible value to our customers, and ensure adherence to regulatory requirements through cutting-edge technical solutions. This position offers a unique opportunity to shape the future of our AI initiatives and make a significant impact on the organization. Key Responsibilities: - Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks. - Mentoring Young Talents: Mentoring team, guiding data analysts/ML engineers from concept to production. This involves fostering technical growth, providing project oversight, and ensuring adherence to best practices, ultimately building a high-performing and innovative team. - Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation. - Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field. - Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services. Skills & Qualifications: - 8 to 13 years of Strong hands-on experience in Machine Learning, delivering complex solutions to production. - Experience with Generative AI technologies essential. - Understanding of concepts like supervised, unsupervised, clustering, embedding. - Knowledge of NLP, Name Entity Recognition, Computer Vision, Transformers, Large Language Models. - In-depth knowledge of deep learning and Generative AI frameworks such as, Langchain, Lang Graph, Crew AI or similar. - Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy, OpenCV. - Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch, Keras. - Proficiency in Python Software Development, following Object-Oriented design patterns and best practices. - Strong background in mathematics: linear algebra, probability, statistics, and optimization. - Experience with evaluation, scoring with a framework like ML Flow - Experience of Docker container and edited a Docker file, experience with K8s is a plus. - Experience with Postgres and Vector DBs a plus. - Excellent problem-solving skills and the ability to think creatively. - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams - Publications and contributions to the AI research community are a plus. - Masters degree/Ph. D. or equivalent experience in Computer Science, Data Science, Statistics, or a related field. - 8-12 years of experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.,

You will be responsible for building and interpreting machine learning models on real business data from the SigView platform, such as Logistic Regression, Boosted trees (Gradient boosting), Random Forests, and Decision Trees. Your tasks will include identifying data sources, integrating multiple sources or types of data, and applying data analytics expertise within a data source to develop methods to compensate for limitations and extend the applicability of the data. Moreover, you will be expected to extract data from relevant data sources, including internal systems and third-party data sources, through manual and automated web scrapping. Your role will involve validating third-party metrics by cross-referencing various syndicated data sources and determining the numerical variables to be used in the same form as they are from the raw datasets, categorized into buckets, and used to create new calculated numerical variables. You will perform exploratory data analysis using PySpark to finalize the list of compulsory variables necessary to solve the business problem and transform formulated problems into implementation plans for experiments by applying appropriate data science methods, algorithms, and tools. Additionally, you will work with offshore teams post data preparation to identify the best statistical model/analytical solution that can be applied to the available data to solve the business problem and derive actionable insights. Your responsibilities will also include collating the results of the models, preparing detailed technical reports showcasing how the models can be used and modified for different scenarios in the future to develop predictive insights. You will develop multiple reports to facilitate the generation of various business scenarios and provide features for users to generate scenarios. Furthermore, you will be interpreting the results of tests and analyses to develop insights into formulated problems within the business/customer context and provide guidance on risks and limitations. Acquiring and using broad knowledge of innovative data analytics methods, algorithms, and tools, including Spark, Elasticsearch, Python, Databricks, Azure, Power BI, Azure Cloud services, LLMs-Gen AI, and Microsoft Suite will be crucial for success in this role. This position may involve telecommuting and requires 10% travel nationally to meet with clients. The minimum requirements for this role include a Bachelor's Degree in Electronics Engineering, Computer Engineering, Data Analytics, Computer Science, or a related field plus five (5) years of progressive experience in the job offered or related occupation. Special skill requirements for this role include applying statistical methods to validate results and support strategic decisions, building and interpreting advanced machine learning models, using various tools such as Python, Scikit-Learn, XGBoost, Databricks, Excel, and Azure Machine Learning for data preparation and model validation, integrating diverse data sources using data analytics techniques, and performing data analysis and predictive model development using AI/ML algorithms. Your mathematical knowledge in Statistics, Probability, Differentiation and Integration, Linear Algebra, and Geometry will be beneficial. Familiarity with Data Science libraries such as NumPy, SciPy, and Pandas, Azure Data Factory for data pipeline design, NLTK, Spacy, Hugging Face Transformers, Azure Text Analytics, OpenAI, Word2Vec, and BERT will also be advantageous. The base salary for this position ranges from $171,000 to $190,000 per annum for 40 hours per week, Monday to Friday. If you have any applications, comments, or questions regarding the job opportunity described, please contact Piyush Khemka, VP, Business Operations, at 111 Town Square Pl., Suite 1203, Jersey City, NJ 07310.,

Key Responsibilities: Build and Drive the vision for the data platform and prepare a roadmap across Freecharge businesses. Working with business & product teams to understand and define the scope for data platform requirements and owning the requirements from data engineering product manager Helping in architecting and building real time and batch processing infrastructure for customer segmentation, hyper-personalization, AIML use cases etc. Conceptualizing scalable and efficient solutions for business and technical problems Demonstrating an advanced level of understanding of the technology stack, understanding the relevant product metrics and how your products interact with various businesses. Experience in proactive assessment of customer sentiments and taking appropriate measures using analytics and big data Exposure in working with with highly technical engineering team Defining and monitoring the KPIs for data platform being used across the organization for better customer experience and merchant sentiments Preferred Qualifications: 3-5 years as data platform product manager with experience in building data platforms or leading data architecture revamp programs Experience in working with cross functional teams spanning across product, growth, marketing, data analytics and data engineering teams. Ability to build consensus among stakeholders including the leadership team. Ability to grasp technical concepts quickly and communicate to a non-technical audience effectively. Strong execution capability paired with ability to envision and articulate a clear path to get there. B Tech/M Tech in Computer Science/ IT with experience in Spark, Hadoop, Scala, Java, segmentation, linear algebra etc

The Data Science and AI/ML team collaborates across the organization to identify, develop and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions that improve patient outcomes, delight partners and customers, and enhance business operations in an AI First fashion. The team works on projects ranging from building sophisticated models to delivering personalized recommendations to patients, analyzing sleep data to optimize equipment and settings, proactively identifying health risk factors, and optimizing global supply chain operations. As a Sr. Machine Learning Engineer, you will play a crucial role in contributing to and leading the development of ML architecture and operations. Your responsibilities include optimizing time to market and quality of AI/ML applications by working on projects within the AI operations team. You will ensure that global AI/ML systems are production-grade, scalable, and utilize cutting-edge technology and methodology. Additionally, you will collaborate with stakeholders, mentor junior team members, and engage with business stakeholders. Key Responsibilities: - Collaborate with Product Management, Engineering, and other stakeholders to create impactful AI/ML features and products. - Work closely with Data Scientists and Data Engineers to own the end-to-end process, train junior team members, and maintain AI/ML architectures. - Document model design, experiments, tests, and outcomes, and stay informed of industry trends. - Implement process improvements, build production-level AI/ML systems, and support technical issues for stakeholders. - Participate in Code Review and handle escalated incidents to resolution. Requirements: - 4+ years of industry experience in Machine Learning Engineering, Data Science, or Data Engineering. - M.S or PhD in Data Science/Machine Learning or related areas. - Proficiency in data analytics systems development, model building, and online deployment. - Experience in building scalable AI/ML systems for various advanced problems. - Hands-on experience with large datasets, Python, and cloud-based tools. - Strong mathematical foundation and knowledge of machine learning techniques. Joining the team means more than just a job it's an opportunity to be part of a culture that values excellence, diversity, and innovation. If you are looking for a challenging and supportive environment where your ideas are encouraged, apply now to be a part of our team dedicated to making the world a healthier place. We are committed to reviewing every application we receive.,

Job Area: Information Technology Group, Information Technology Group > IT Programmer Analyst General Summary: Qualcomms Engineering IT EDAAP team is looking for an independent contributor experienced in development and sustaining enterprise level software applications. Experience:7-10 years of experience developing dashboard with reporting tools- Tableau (Tableau API), Power BI, OBIEE. SkillsMust: Expert in developing visualizations/dashboards with Tableau Strong knowledge with SQL Fundamentals in object-oriented design, data structures, algorithms and problem solving. Test, debug and performance tuning of dashboards/reports Experience working in an agile development environment. Translate ad hoc report requests into common dashboards and application requirements Knowledge of different types of enterprise systems, their interaction, boundaries within an enterprise. Understanding of complex data models. Experience working with Oracle/MySQl/Postgres WILLINGNESS to multi task and work in a fast paced environment. Must be willing to take ownership and drive tasks to completion. Desirable: Python programming experience. Experience developing dashboards with Power BI. Exposure to Qlikview, OBIEE and ThoughtSpot Experience with semiconductor industry. Experience working with NoSQL Databases (MongoDB) as well as relational DBs (MySQL/Oracle) Education Requirements Bachelor's degree in technical discipline or equivalent experience required. Qualifications 5 or more years of experience in applying AI and machine learning techniques to practical and comprehensive technology solutions. A strong background in machine learning, deep learning, and natural language processing. Expertise in ML, deep learning, Py Torch, Python, NLP and Transformer architecture. Experience in deploying LLMs, embedding model/sentence transformers in production use cases. Thorough knowledge in basic algorithms, object-oriented and functional design principles, and best-practice patterns Strong expertise in programming (Rust/Python) Experience in fine-tuning a large language model using custom content (documents, data, code). Experience in developing Generative AI applications, Agentic Systems and Retrieval Augmented Generation. Experience working with large-scale datasets, preprocess them, and create appropriate data representations. Solid understanding of statistics, linear algebra, and probability theory. Preferred Qualifications Bachelors/masters degree in computer science, Artificial Intelligence, Data Science, or a related field. Experience in implementing projects involving end to end ML/NLP systems from development to deployment. Experience with transformer-based models (e.g., BERT, GPT, T5, Llama). Experience working in a distributed team. Experience with cloud environments (GCP/AWS). Working knowledge of Rust is a plus. Minimum Qualifications: 4+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience with a Bachelor's degree. OR 6+ years of work experience in programming, scripting, and/or automation or IT-relevant work experience without a Bachelors degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

We are looking for a skilled Generative AI Developer to be a part of our team and contribute to the development of advanced generative models. In this role, you will focus on creating AI systems that have the ability to produce innovative and human-like content across various domains such as natural language generation, image generation, and even video or music synthesis. To excel in this position, you should possess expertise in machine learning, deep learning, and natural language processing, along with a thorough understanding of specific generative models like GANs, VAEs, and other neural networks. Your responsibilities will involve developing and refining generative models using techniques such as GANs, VAEs, Transformers, and Diffusion models. You will also be working on tasks related to text generation, image generation, music or sound generation, video creation, and other creative AI applications. Furthermore, you will be expected to design, construct, and deploy models utilizing frameworks like TensorFlow, PyTorch, Hugging Face, OpenAI's GPT, or similar tools. It will be crucial to optimize AI models for performance, accuracy, and scalability in real-world production environments. Staying updated on the latest trends, research papers, and breakthroughs in the field of generative AI will also be a part of your role. Collaboration with other teams, such as data scientists, machine learning engineers, and product teams, to integrate models into production systems will be essential. Additionally, you will work on data preprocessing, augmentation, and designing pipelines to ensure high-quality input for model training. Documenting your code, processes, and model outputs for team-wide visibility and knowledge sharing will also be a key aspect of your responsibilities. **Required Qualifications & Skills:** - Bachelor's or Master's degree in Computer Science or related fields. - 3-4 years of hands-on experience in developing Generative AI solutions. - Strong understanding of deep learning algorithms, particularly in generative models like GANs, VAEs, Diffusion models, or large-scale language models like GPT. - Hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face. - Experience working with neural networks, unsupervised learning, and natural language processing. - Proficient programming skills in Python, including deep learning libraries like TensorFlow, Keras, and PyTorch. - Familiarity with cloud platforms (AWS, GCP, or Azure) for model training and deployment. - Solid mathematical and statistical knowledge, especially in probability theory, linear algebra, and optimization. - Experience in large-scale model training, fine-tuning, or distributed computing. - Knowledge of reinforcement learning and self-supervised learning. - Understanding of AI ethics, bias mitigation, and interpretability in generative models.,