80 Linear Algebra Jobs - Page 4

About this role: Wells Fargo is seeking a Lead Quantitative Analytics Specialist. In this role, you will: Lead complex initiatives including creation, implementation, documentation, validation, articulation, and defense of highly statistical theory Qualify monitor markets and forecast credit and operational risks Strategize short and long-term objectives, and provide analytical support for a wide array of business initiatives Utilize stochastic, structured securities, spread analysis, with the expertise in the theory and mathematics behind the analysis Review and assess models inclusive of technical, audit, and market perspectives Identify structure and scope of review Enable decision making for product and marketing with broad impact and act as key participant to develop and document analytical models Collaborate and consult with regulators and auditors Present results of analysis and strategies Required Qualifications: 5+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Desired Qualifications: A Senior Quantitative Analytics Specialist should have a deep academic knowledge, broad based approach to solve business problems. He/she should approach the problem agnostic of analytic technique, tool or process. Ability to think outside the box and provide ensemble solutions should set them apart to be a high performing team member. 4+ years of experience with minimum Masters/ Phd in a quantitative field such as applied math, statistics, engineering, physics, or mathematical finance. Performing mathematical model validation using Python, C++, R, and SQL or other programming languages and mathematical/statistical packages Producing required documentation to substantiate model validation Analyzing processes and work flows to make recommendations for process improvement in various risk management and/or business areas as well as participating in and leading model risk projects. Strong mathematical, statistical, analytical and computational skills Strong communication skills for a variety of audiences (other technical staff, senior management and regulators) both verbally and in writing Capability to multi-task and finish work within strict timelines and provide timely requests for information and follow-up questions Ability to work independently on complex model validations from start to finish Able to demonstrate first-hand knowledge of advanced topics in various mathematical and numerical methods such as Monte Carlo, stochastic calculus, differential equations, linear algebra, applied probability, and statistics; Skill in managing relationships with key model stakeholders Eagerness to contribute collaboratively on projects and discussions Perpetual interest in learning something new, but being comfortable with not knowing the all the answers Attention to detail in both analytics and documentation Aptitude for synthesizing data to 'form a story' and align information to contrast/compare to industry perspective Intellectually curious, who enjoy solving problems Excellent programing skills and use of software packages such as C++, Python, R, SAS and SQL Ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment Good interpersonal skills and ability to develop partnerships and collaborate with other business and functional areas.

About The Role #body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{color:rgb(0,0,0) !important;}#body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{background:rgba(230,231,232,1.0) !important;} Apply now Technical Lead Job Location (Short): Hyderabad, India Workplace Type: Hybrid Business Unit: Mining Req Id: 1298 .buttontextb0d7f9bdde9da229 a{ border1px solid transparent; } .buttontextb0d7f9bdde9da229 a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } Responsibilities Study the existing source code and documentation to gain a comprehensive understanding of the library. Optimize and enhance the computational geometry algorithms within the library. Collaborate with other developers and teams to integrate updates into the product. Develop and implement new features as the product evolves. Ensure the library’s performance remains optimal and capable of handling complex meshes. Education / Qualifications Bachelor's degree in computer science, Engineering, or equivalent. Strong background in linear algebra and computational geometry Extensive experience with graph theory and data structures Proficiency in C/C++ development Deep knowledge of memory management and multi-threading in C/C++ Familiarity with OpenGL About Hexagon Hexagon is the global leader in digital reality solutions, combining sensor, software and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications. Our technologies are shaping production and people related ecosystems to become increasingly connected and autonomous – ensuring a scalable, sustainable future. Hexagon (Nasdaq StockholmHEXA B) has approximately 24,500 employees in 50 countries and net sales of approximately 5.4bn EUR. Learn more at?hexagon.com?and follow us?@HexagonAB. Hexagon’s R&D Centre in India Hexagon’s R&D Centre in India is the single largest R&D centre for the company globally. More than 2,000 talented engineers and developers create innovation from this centre that powers Hexagon's products and solutions. Hexagon’s R&D Centre delivers innovations and creative solutions for all business lines of Hexagon, including Asset Lifecycle Intelligence, Autonomous Solutions, Geosystems, Manufacturing Intelligence, and Safety, Infrastructure & Geospatial. It also hosts dedicated service teams for the global implementation of Hexagon’s products. R&D India – MAKES THINGS INTELLIGENT Autonomous SolutionsPerception, positioning, vehicle autonomy and site orchestration technologies to enable the full autonomous solution for agriculture, mining, automotive and marine positioning. Everyone is welcome At Hexagon, we believe that diverse and inclusive teams are critical to the success of our people and our business. Everyone is welcome—as an inclusive workplace, we do not discriminate. In fact, we embrace differences and are fully committed to creating equal opportunities, an inclusive environment, and fairness for all. Respect is the cornerstone of how we operate, so speak up and be yourself. You are valued here. .buttontext1c1d8f096aaf95bf a{ border1px solid transparent; } .buttontext1c1d8f096aaf95bf a:focus{ border1px dashed #0097ba !important; outlinenone !important; } #body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{color:rgb(0,0,0) !important;}#body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{background:rgba(230,231,232,1.0) !important;} Apply now

Job Area: Information Technology Group, Information Technology Group > IT Programmer Analyst General Summary: Qualcomm"™s 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/master"™s 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 Bachelor"™s degree. 2+ years experience with Database Design structures such as Mongo DB, MySQL.

KEY ACCOUNTABILITIES Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives. Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Analyse and preprocess large-scale datasets for training and evaluation. Train, test, and optimize ML models for accuracy, scalability, and performance. Deploy ML models in production using cloud platforms and/or MLOps best practices. Monitor and evaluate model performance over time, ensuring reliability and robustness. Document findings, methodologies, and results to share insights with stakeholders. QUALIFICATIONS, EXPERIENCE AND SKILLS Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming). Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong foundation in linear algebra, probability, statistics, and optimization techniques. Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization. Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark. Ability to think critically and apply your knowledge to solve complex ML problems. Strong communication and collaboration skills to work effectively in diverse teams. Additional Skills (Good to have) Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow). Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark). Previous internships, academic research, or projects showcasing your ML skills. Familiarity with deployment frameworks like Docker and Kubernetes. #LI-AA6

KEY ACCOUNTABILITIES Collaborate with cross-functional teams (e.g., data scientists, software engineers, product managers) to define ML problems and objectives. Research, design, and implement machine learning algorithms and models (e.g., supervised, unsupervised, deep learning, reinforcement learning). Analyse and preprocess large-scale datasets for training and evaluation. Train, test, and optimize ML models for accuracy, scalability, and performance. Deploy ML models in production using cloud platforms and/or MLOps best practices. Monitor and evaluate model performance over time, ensuring reliability and robustness. Document findings, methodologies, and results to share insights with stakeholders. QUALIFICATIONS, EXPERIENCE AND SKILLS Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field (graduation within the last 12 months or upcoming). Proficiency in Python or a similar language, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn. Strong foundation in linear algebra, probability, statistics, and optimization techniques. Familiarity with machine learning algorithms (e.g., decision trees, SVMs, neural networks) and concepts like feature engineering, overfitting, and regularization. Hands-on experience working with structured and unstructured data using tools like Pandas, SQL, or Spark. Ability to think critically and apply your knowledge to solve complex ML problems. Strong communication and collaboration skills to work effectively in diverse teams. Additional Skills (Good to have) Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools (e.g., MLflow, Kubeflow). Knowledge of distributed computing or big data technologies (e.g., Hadoop, Apache Spark). Previous internships, academic research, or projects showcasing your ML skills. Familiarity with deployment frameworks like Docker and Kubernetes. #LI-MP1