54 Mathematical Modeling Jobs - Page 2

You will be working as a Model Risk Analyst in the Risk department, specifically in the Model Risk Management (Market Risk) team based in Mumbai. Your primary responsibility will be to lead initiatives aimed at enhancing the accuracy, availability, granularity, and coverage of the existing model validation process. Additionally, you will be expected to develop tools for process automation to streamline the validation process. Your role will involve independently performing statistical and mathematical model development or validation for Retail Lending Scorecards. You will also be responsible for conducting validation exercises for Wholesale Rating Models, which includes quantitative and qualitative tests on PD Calibration, Discriminatory Power of the models, Sensitivity of parameters, and Rating Migration tests. Furthermore, you will be required to validate Market Risk Models related to Derivative & Fixed Income Valuations, Bootstrapping, VaR, Sensitivity, Capital Charge Models, Interest Rate, and FX Simulations. A key part of your role will be to successfully complete end-to-end validation exercises for the models allocated as quarterly deliverables. Additionally, you will be expected to provide smart inputs and initiatives for other team deliverables to contribute to the overall success of the team.,

As a Workday Prism Analytics and Reporting Consultant in HR IT at Deutsche Bank, located in Pune, India, you will be focusing on HR Data and the Workday Domain (Prism and Reporting). Your role will involve understanding HR data transformation using Workday Prism, Reporting, and Core Workday HCM modules. You will be responsible for managing technical resources, solution financials, staff development, and ensuring quality deliverables across HR IT projects. In this role, you will be developing a strong understanding of user reporting needs and recommending implementation strategies using Workday tools. You will design, develop, and tune data visualization tools and reports aligned with business requirements. Additionally, you will create and configure metadata objects, collaborate with ETL developers on report design strategies, and recommend innovative reporting solutions based on cost, effectiveness, and data availability. Your responsibilities will also include building prototypes for demonstrations to stakeholders and senior leaders, providing Subject Matter Expert (SME) support for troubleshooting and BI-driven problem-solving, managing security setup/maintenance for data visualization tools, developing project timelines, documentation, and training materials, and offering post-implementation support and process fine-tuning. You will maintain communication with management and users during development cycles and coordinate user activities to ensure data and system integrity. To excel in this role, you should have experience in designing, building, and maintaining data pipelines/transformations in Workday Prism Analytics, translating business requirements into scalable Prism solutions, optimizing Prism workloads for performance and efficiency, and integrating data from diverse sources into Workday Prism with accuracy. You should also have experience in developing ETL processes for reporting and analytics, building reports, dashboards, and analytics using Workday tools, and collaborating with cross-functional teams to address data needs. At Deutsche Bank, you will receive training and development opportunities to help you excel in your career, coaching and support from experts in your team, and a culture of continuous learning to aid progression. Additionally, you will have access to a range of flexible benefits that you can tailor to suit your needs. If you are looking to join a team that values empowerment, responsibility, commercial thinking, initiative, and collaboration, and celebrates the successes of its people, Deutsche Bank welcomes your application. We promote a positive, fair, and inclusive work environment where all individuals are encouraged to thrive and contribute to the success of the Deutsche Bank Group.,

KEY RESPONSIBILITIES Understand written or oral brief from client (business problem) Ensure Data Veracity as per problem brief; detect and flag anomalies or errors to Project Manager Hypothesis building Statistical model development and ensuring statistical hygiene of models Follow process to ensure accuracy and deliver projects as per timelines Write model findings with simple insights which make marketing sense Try different things to get to the best solution Train younger team members on the process Use visualization in Excel / PowerBI to prepare analytics results for clients Use basic programming to automate simple repetitive tasks in Excel Macros / VBA / R / Python ESSENTIAL SKILLS Strong mathematical aptitude Ability to think logically and solve issues - trouble-shoot problems in code or try a different approach if something is not working in the defined process Excellent communication skills in English (written and oral) are essential Ability to document analysis (data and model findings) and simple processes Good attitude and willingness to learn new things and experiment to get to the best solution Should be a strong team player - work closely with team-mates and Project Manager Willingness to stretch to deliver to tight schedules Demonstrate independence in planning own work and executing it on time and with good quality QUALIFICATIONS The ideal candidate will have consistent scholastic performance Bachelors degree in Engineering from premiere institute OR Graduate or Post-Graduate in Statistics Experience and knowledge of MS Office applications like Excel, Word, Powerpoint is a must Any programming knowledge will be an added advantage. Python / R skills preferred

The primary objective of this role is to provide analytical support for Group Engineering development and operational activities in a safe, professional, efficient, and cost-effective manner. Your responsibilities will include reviewing, identifying gaps, and developing mathematical models to support various product lines, aiming to provide reliable data for service delivery and performance prediction for client jobs. Additionally, you will provide support for analytical model development, including formula development and analysis. You should be able to collaborate effectively across a wide range of Physical and Engineering disciplines. Generating intellectual property to enhance the performance of CaTS systems and improve the company's commercial position will be a key aspect of your role. Conducting laboratory experiments, ensuring comprehensive documentation of projects, and performing internal or external studies as required by the line manager are also part of your responsibilities. Furthermore, you will be involved in the execution of Finite Element modeling using tools like Comsol, adhering to quality management system requirements, and assisting in the development of written procedures to manage analytical activities. Desirable experience includes proficiency in Visual Basic, Python, Comsol, analysis of environmental sensor data, physical fluid dynamics modeling, or a background in chemical analysis. As the job holder, you will report directly to the Engineering Manager and collaborate with other specialist disciplines within Group Engineering and Product lines to ensure the successful delivery of Expro's services based on mathematical models and modeling analysis. It is crucial to maintain a rigorous approach to investigation, possess a degree in Physics, Engineering, or Mathematics with experience in modeling real-world sensor-based systems, demonstrate the ability to model physical situations, and have a background in supporting multidisciplinary engineering development teams with modeling and data analysis. Above all, safety and adherence to Expro HSE procedures are paramount in this role, and you will be held accountable for maintaining safety standards at all times.,

Job Title: Mathematics Instructor Locations: Sonipat, Pune (On-site) Institution: Newton School of Technology Experience Required: 24 years (Academic or Industry in a Mathematics/Engineering context) Employment Type: Full-time, On-campus About Us Newton School of Technology, in collaboration with Rishihood University (Sonipat) and Ajeenkya DY Patil University (Pune), is reimagining the future of engineering education. Built at the intersection of academic excellence and industry relevance, we are committed to nurturing engineering graduates with a strong foundation in core mathematics and its applications in modern computing disciplines. Through this initiative, we aim to address the employability gap by combining rigorous academic training with real-world exposure. Role Overview We are seeking a dynamic and motivated Mathematics Instructor to join our academic team at Newton School of Technology. The ideal candidate will have a solid foundation in Engineering Mathematics , strong teaching abilities, and a passion for mentoring B.Tech students in a high-impact academic environment. You will play a key role in curriculum design, classroom instruction, lab facilitation , and student mentoring , while also contributing to academic innovation and interdisciplinary collaboration. Key Responsibilities Course Design and Instruction Plan and deliver lectures, tutorials, and assessments in core mathematical subjects including: Calculus, Linear Algebra, Probability & Statistics, Discrete Mathematics, and Optimization Tailor content delivery to match the academic level and learning pace of B.Tech students. Student Mentorship Guide and mentor students through their academic journey. Assist with assignments, projects, and concept reinforcement sessions. Lab and Application Integration Design and lead lab sessions using mathematical tools and software. Integrate theoretical concepts with real-world applications in computing and data science. Curriculum Development and Collaboration Continuously update course content in collaboration with faculty and industry experts. Align mathematical instruction with emerging fields such as AI, ML, Cryptography, and Data Analytics. Research & Innovation Encourage research-based learning and support students in academic or industry-driven research projects. Participate in faculty development and cross-disciplinary academic initiatives. Required Skills & Qualifications: Must-Haves: 2–4 years of teaching or industry experience involving Engineering Mathematics Deep understanding of core topics: Calculus, Linear Algebra, Probability and Statistics, Discrete Mathematics, Optimization. Strong communication and conceptual clarity. Ability to engage students and simplify complex mathematical ideas. Commitment to academic excellence and student-centered learning. Good-to-Haves: Prior experience teaching B.Tech students in a classroom or lab setting. Familiarity with tools such as: Desmos, GeoGebra, MATLAB, R, or Python (NumPy/Matplotlib). Exposure to applied domains: AI/ML, Data Science, Cryptography. Experience with digital platforms for academic delivery (Moodle, Google Classroom, etc.) Perks and Benefits Competitive salary aligned with market standards. Access to state-of-the-art classrooms and mathematics labs. Involvement in cutting-edge curriculum and interdisciplinary learning. Opportunity to contribute to high-impact education in a mission-driven academic environment. Interview Process Round 1 – Technical Assessment: Conceptual test on core mathematics topics and teaching-oriented problem solving. Round 2 – Teaching Demonstration: Mock lecture to assess instructional ability, engagement, and clarity. Round 3 – Final Discussion: Interaction with institutional leadership to assess alignment, motivation, and cultural fit. Be a part of a bold academic mission to shape the next generation of technology leaders. To learn more, visit: Newton School of Technology

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Pyramid Overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Team Overview Our Stores Data Science team oversees the development of state-of-the-art mathematical techniques to solve key problems for Targets Stores, such as identifying optimal tasks prioritizing work and sequence work for our teams to meet the dynamic guest demands. The team leverage machine learning, operations research and simulation to help design the future of how our stores work. Position Overview As a Senior Data Scientist, you will collaborate with Product, Tech, and business partners to solve retail challenges at scale within our stores. You will design, develop, deploy, and maintain data science models and tools. Youll work closely with applied data scientists, data analysts, and business partners to continuously learn and address evolving business needs. Youll also collaborate with engineers and data scientists on peer teams to build and stores solutions. Develop a strong understanding of business and operational processes within Targets Stores. Gain an in-depth understanding of systems and processes influencing stores efficiency. Analyze large datasets to derive insights for business process improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Collaborate with the team to build and maintain complex software systems and tools. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving stroes operating model. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. About You Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 3-4+ years of relevant experience. Experience in applying Operations Research to solve complex problems in Supply chain or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analyzing large datasets for insights leading to business improvements. Supply chain data experience preferred but not required. Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices. Proficiency in Python, SQL, Hadoop/Hive, Spark. Strong experience in JVM-based languages like Java or Kotlin preferred. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Experience deploying solutions with large-scale business impact. Self-driven and results-oriented, with the ability to meet tight timelines. Strong team player with the ability to collaborate across geographies/time zones. Excellent written and verbal communication skills. Know More Life at Target - https://india.target.com/ Benefits - https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. About Target Tech: Every time a guest enters a Target store or browses Target.com nor the app, they experience the impact of Targets investments in technology and innovation. Were the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 5,000 of engineers, data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guestsand we do so with a focus on diversity and inclusion, experimentation and continuous learning. About Team A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Position Overview Develop a strong understanding of business and operational processes. Analyse large datasets to derive insights for business process improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving supply chain network. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. About You Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 4+ years of relevant experience. Experience in applying Operations Research to solve complex problems in Supply chain or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analysing large datasets for insights leading to business improvements. Proficiency in Python, SQL, Hadoop/Hive, Spark. Strong experience in JVM-based languages like Java or Kotlin preferred. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Know More Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Follow us on social media https://www.linkedin.com/company/target/ Target Tech- https://tech.target.com/

Position Title: Full-Time Mathematics Faculty Location: ITM Skills University, Kharghar (Navi Mumbai) Joining Date: Immediate or as per notice period Subject: Mathematics Compensation: As per industry standards How to Apply: If you're interested in this opportunity, please send your resume to anujab@itm.edu or contact us at 8657547930 . Required Skills & Qualifications: Masters or Ph.D. in Mathematics or a related field Minimum 3 years of teaching experience at the college/university level Strong command of topics including Discrete Mathematics, Calculus, Linear Algebra, and Probability & Statistics Excellent communication and classroom management skills Job Description: We are looking for an experienced and passionate Mathematics Faculty to join our academic team at ITM Skills University, Kharghar . The ideal candidate will have strong subject knowledge and a commitment to delivering high-quality education. Key Responsibilities: Deliver engaging and interactive lectures in Mathematics Develop and update course materials, lesson plans, and assessment Evaluate student progress and provide constructive feedbac Support students with academic guidance and mentoring Participate in faculty meetings and continuous improvement activities We look forward to hearing from passionate educators who want to make a difference!

Goldman Sachs Strats business unit is a world leader in developing quantitative models and technologies to solve complex business problems. Working within the firm's trading, sales, banking, and investment management divisions, strats use their mathematical and scientific training to create financial products, advise clients on transactions, measure risk, and identify market opportunities. As a FICC CVA Strat within the firm's Global Markets Division, you will collaborate with IRP, GCEM, and Commodity CVA trading desks globally to enhance CVA models and refine the risk management framework. Your role involves developing cutting-edge CVA pricing and risk models, working closely with global CVA traders, and implementing risk management infrastructure to monitor and manage risk effectively. Additionally, you will assist in optimizing capital footprint and enhancing counterparty credit risk monitoring and management framework in light of industry regulations. Your responsibilities include building and enhancing CVA quantitative models, pricing, risk management, and workflow infrastructure for the FICC CVA & Funding trading business. You will conduct systematic and quantitative analysis of risk, pricing, and PNL metrics across various FICC CVA & Funding products, support trading desk activities, analyze trade ideas and hedging strategies, and contribute to cross-business initiatives such as capital optimization and regulatory changes. The ideal candidate for this role possesses strong quantitative and technical problem-solving skills, a drive to explore new ideas, and the ability to deliver quick yet robust solutions. Strong academic background in a relevant STEM field, proficiency in programming languages like Java, C++, Python, excellent interpersonal and communication skills, attention to detail, and the ability to work in a dynamic environment are essential qualifications. If you are passionate about financial markets, financial modeling, and have a quantitative understanding of probability, this opportunity at Goldman Sachs may be the perfect fit for you. Join us in our commitment to fostering diversity and inclusion, providing growth opportunities, and supporting professional and personal development for every individual within our firm. Goldman Sachs is dedicated to accommodating candidates with special needs or disabilities during the recruiting process. To learn more about our culture, benefits, and career opportunities, visit GS.com/careers.,

Job Title: Data Scientist - Optimization About Straive: Straive is a trusted leader in building and operationalizing enterprise data and AI solutions for top global brands and corporations. Our key differentiators include extensive domain expertise across multiple industry verticals, coupled with cutting-edge data analytics and AI capabilities that drive measurable ROI for our clients. With a global presence spanning 30+ countries and a team of 18,000+ professionals, we integrate industry knowledge with scalable technology solutions and AI accelerators to deliver data-driven solutions to the world's leading organizations. Our headquarters are based in Singapore, with offices across the U.S., UK, Canada, India, the Philippines, Vietnam, and Nicaragua. Website: https://www.straive.com/ Linkedin Objective: We are looking for a Data Scientist with deep expertise in optimization and applied operations research to help solve complex scheduling, resource allocation, and flow optimization problems across large-scale operational environments. The ideal candidate will combine mathematical modeling skills with core data science capabilities to design and implement solutions that are both analytically rigorous and practically impactful. Key Responsibilities: Design and build optimization models to support decision-making in scheduling, batch movement, or network planning Translate real-world business rules and constraints into mathematical formulations Develop and test optimization algorithms using solvers such as Gurobi, CPLEX, or Google OR-Tools Work with historical and real-time data to validate and tune models Collaborate with engineering, product, and business teams to integrate models into production environments Present insights and trade-offs to both technical and non-technical stakeholders Required Skills & Experience: 5+ years of experience in data science, with strong focus on optimization or operations research Proficient in Python, relevant libraries and tools: Optimization : Pyomo, PuLP, OR-Tools, cvxpy Data Science : pandas, NumPy, scikit-learn, matplotlib/seaborn Tools : Gurobi: CPLEX, or Google OR-Tools Hands-on experience with linear programming, mixed integer programming, or constraint programming Ability to structure, clean, and analyze complex datasets Strong communication skills for explaining technical models to diverse audiences Preferred (Nice to Have): Experience working on scheduling, routing, or supply chain optimization problems Exposure to forecasting models or simulation-based decision support Familiarity with deploying models into production environments or building APIs for model consumption Background in applied mathematics, industrial engineering, computer science, or related fields

URGENT HIRING !!! location's : Canada , Australia , New Zealand ( Not In India ) Benefits : Medical Insurances , Travel allowances , Flight Tickets , Meals , etc For more information call or whatsapp+91 8800897895 Key Responsibilities Develop and deliver engaging math lessons aligned with the curriculum. Simplify complex mathematical concepts and encourage critical thinking. Design and assess assignments, quizzes, and tests to track student progress. Use real-life examples and interactive activities to enhance understanding. Maintain a positive and disciplined classroom environment . Identify students learning needs and provide extra support or advanced challenges . Integrate technology (smartboards, math software, online tools) into lessons. Communicate with parents regarding student progress and improvement areas. Stay updated with educational best practices and new mathematical methodologies . Participate in faculty meetings, training sessions, and professional development programs .

We are seeking a Robotics Engineer with a solid foundation in robotic control systems , kinematics/dynamics , and mathematical modeling , coupled with practical experience in implementing these systems on real-time embedded or high-performance compute platforms. The role involves developing autonomous motion logic , estimation frameworks , and robotic algorithms for field-deployable intelligent machines. Core Technical Responsibilities- Robotics Kinematics & Dynamics Forward and inverse kinematics (serial/parallel manipulators, mobile platforms) DenavitHartenberg (D-H) parameterization, transformation matrices, SE(3) frames Inverse dynamics using Newton-Euler and Lagrangian methods Multi-body dynamics modeling, Jacobian computation, singularity handling Constraint resolution for underactuated or redundant robotic systems Dynamics compensation for payload variation and external disturbances Control Systems Design PID, cascaded PID, feedforward + feedback hybrid control Linear state-space modeling, controllability and observability analysis LQR, pole placement, and optimal trajectory stabilization Model Predictive Control (MPC) basics for path tracking Sensor feedback loop integration (encoder, IMU, force-torque sensors) Saturation, anti-windup, slew rate limiting, and safety interlocks Estimation & Sensor Fusion IMU + magnetometer + GPS fusion using complementary filters or Kalman filters (EKF/UKF) Dead-reckoning, drift compensation, and heading estimation Odometry tracking for differential drive, Ackermann steering, and holonomic bases Sensor latency calibration and outlier rejection filters Covariance propagation and uncertainty bounding SLAM or VIO pipeline understanding (bonus) Math Tools & Simulation Proficient in Eigen for linear algebra (matrices, quaternions, decompositions) Use of MATLAB/Simulink, Python (NumPy/SciPy), or C++ math libraries Simulation using Gazebo, Isaac Sim, Webots, or custom physics engines Motion planning algorithms: A*, RRT, potential fields, trajectory smoothing Testing with synthetic sensor injection and disturbance modeling System Integration Interface with embedded firmware teams for control loop integration Tuning control loops for real-world timing, actuator limits, and environmental response Coordinate frame management (NED, ENU, body-fixed, camera frames) Deployment onto real-time OS or Linux-based compute nodes (ROS 1/2 stack) Real-world calibration procedures: encoder zeroing, IMU alignment, gain tuning Tools & Frameworks ROS 1/2 (navigation, tf, control, message transport) RViz or 3D visualization tools for debugging Git, CMake, and CI pipelines for code validation Logging, playback, and telemetry analysis (e.g., rosbag, custom log viewers) Preferred Qualifications B.Tech / M.Tech / Ph.D. in Robotics, Control Systems, Mechatronics, or Applied Mechanics 3–7+ years of robotics control and estimation experience Strong background in applied mathematics and physical modeling Experience with robotic arms, mobile robots, UAVs, or hybrid autonomous platforms Publications or project contributions in control, planning, or estimation domains

Associate Level-1/Sr Associate-Quantitative Analyst Resources/Financing Optimization Global Market Quantitative Research (GMQR) Team is responsible for most aspects of quantitative research within the Global Market universe, covering Interest Rates, FX, Credit, and Equity. There are teams in London, New York and Asia supporting trading activities of the flow and structured desks. They are responsible for the development of pricing, risk, margin, and profitability models and their implementation in the global analytics library. GMQR Resources & Financing Optimization provides expert solutions to the financing activities for both client-facing activities and internal cost optimization. It covers the calculation of liquidity and balance sheet metrics, the optimization of funding costs and the automation of the inventory management platform. The team develops sophisticated models and put in place the infrastructure and the technology to develop, support and optimize the activity. Responsibilities Within GMQR Resources & Financing Optimization, the role focuses specifically on Liquidity and Balance Sheet metrics. This is a front office Associate quantitative research role. Participate to the development of the framework in C# used to calculate liquidity and balance sheet metrics of Global market activities. The scope covers all business lines, products and asset class of Global Markets. Develop the tooling that gives Trading operators the ability to understand all aspects of the calculation and allow them to steer the metrics efficiently daily Provide expertise and support to the users of the application Take an active part in all front office activities by collaborating with other functions (Trading, Sales, IT and Market Risk) and Research globally and develop relations with various stakeholders. Technical & Behavioral Competencies Graduate degree in mathematics or computer engineering with strong analytical skills. Knowledge of finance is a bonus. Strong analytical skills and technical background in mathematics, computer science or finance. Prior programming experience in C# or other object-oriented programming languages. Reliable and Detailed-oriented Knowledge of statistics as well as optimization algorithms. Effective communication skills, ability and willingness to engage the business Delivery focused and willingness to collaborate with other teams. Familiarity with Liquidity and Balance Sheet topics Resources is a plus Skills Referential Behavioural Skills : Attention to detail / rigor Critical thinking Communication skills - oral & written Ability to collaborate / Teamwork Transversal Skills: Analytical Ability Education Level: Bachelor Degree or equivalent Experience Level At least 2 years

Plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems for cutting-edge products. Collaborate with cross-functional teams to develop solutions and meet performance requirements. Develop SoC thermal analysis methodologies encompassing SoC, package, and systems for various Qualcomm products (smartphones, laptops, automotive, VR headsets). Develop strategies to predict and improve thermally constrained scores (e.g., AnTuTu/Geekbench). Measure and tune thermal performance on post-silicon platforms, including infrared imaging. Improve thermal mitigation strategies through power and thermal management to achieve optimal system thermal performance. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Skills: Strong analytical skills and mathematical modeling abilities. Knowledge of SoC stack-up is essential. Good knowledge of scripting in PERL/Python is required; some exposure to Machine Learning algorithms/frameworks is a plus. Thorough knowledge of heat transfer mechanisms and Computational Fluid Dynamics (CFD). Proficiency with state-of-the-art thermal analysis tools (e.g., Ansys Icepak/Flotherm). Thermal measurement skills will be preferred.

Job Description As an SME in Next Education, you will play a pivotal role in shaping our curriculum and assessments, which includes various competitive exams. Your deep knowledge of the subject and curriculum design will excel in our learning solutions. Responsibilities: Design, create, and review foundation textbooks, assessments, and projects that enable self-learning in the students. Conduct workshops and training programs for educators to enhance their pedagogical skills and effectively integrate 21st-century skills in their teaching process. Collaborate with cross-functional teams, including curriculum developers, technology specialists, and assessment experts, to ensure a cohesive and comprehensive educational experience. Stay abreast of industry trends, educational research, and advancements to continuously enrich our offerings and maintain our position as a leader in K-12 education. Qualifications: Bachelor's/Master's in Mathematics. Proven expertise in designing and implementing foundation curriculum. Strong understanding of pedagogical approaches, assessment methods, and best practices for integrating technology into classroom instruction. Excellent communication and presentation skills to effectively engage the educators in the workshops.Role & responsibilities Preferred candidate profile Perks and benefits

Job Responsibilities Craft winning proposals to grow the Data Science Practice. Develop and operationalize scalable processes to deliver on large & complex client engagements. Ensure profitable delivery and great customer experience design the end to end solution, put together the right team and deliver as per established processes. Build an A team hire the required skills sets and nurture them in a supporting environment to develop strong delivery teams for the Data Science Practice. Train and mentor staff and establish best practices and ways of working to enhance data science capabilities at Axtria. Operationalize an eco-system for continuous learning & development. Write white papers, collaborate with academia and participate in relevant forums to continuously upgrade self knowledge & establish Axtrias thought leadership in this space. Research, develop, evaluate, and optimize newly emerging algorithms and technologies for relevant use cases in pharma commercial & clinical space.EducationBachelor Equivalent - OtherPG Diploma in ManagementWork ExperienceData Scientist6-15 years of relevant experience in advanced statistical and mathematical models and predictive modeling using Python. Experience in the data science space prior relevant experience in Artificial intelligence and machine Learning algorithms for developing scalable models supervised and unsupervised techniques like NLP and deep Learning Algorithms. Ability to build scalable models using Python, R-Studio, R Shiny, PySpark, Keras, and TensorFlow. ML Ops Engineering6-15 years of experience with MLOps Frameworks like Kubeflow, MLFlow, Data Robot, Airflow, etc., experience with Docker and Kubernetes, OpenShift. Prior experience in end-to-end automated ecosystems including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, and ML operations. Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure, or GCP).Gen AI 6-15 years develop, test, and deploy Python based applications on Azure/AWS platforms. Must have basic knowledge on concepts of Generative AI / LLMs / GPT. Deep understanding of architecture and work experience on Web Technologies. Python, SQL hands-on experience. Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT.IOS Developer 6+ years of experience in IOS mobile development and 5+ in React Native. Strong background working with React Native tools. Fullstack Developer 6-15 years experience to develop, test and deploy React, Javascript, Python based applications on Azure/AWS platforms. Must have experience working on frontend and backend technologies. Experience on React and Python is a must.Technical CompetenciesML Data ScienceML OpsML engineeringPharmaPythonPySparkAWS Data PipelineAWS EMRAIMLNLPBehavioural CompetenciesOwnershipTeamwork & LeadershipTalent ManagementCultural FitMotivation to Learn and GrowProject Management

Position Summary This Requisition is for the Employee Referral Campaign. We are seeking high-energy, driven, and innovative Data Scientists to join our Data Science Practice to develop new, specialized capabilities for Axtria, and to accelerate the company’s growth by supporting our clients’ commercial & clinical strategies. Job Responsibilities Be an Individual Contributor tothe Data Science team and solve real-world problems using cutting-edge capabilities and emerging technologies. Help clients translate the business use cases they are trying to crack into data science solutions. Provide genuine assistance to users by advising them on how to leverage Dataiku DSS to implement data science projects, from design to production. Data Source Configuration, Maintenance, Document and maintain work-instructions. Deep working onmachine learning frameworks such as TensorFlow, Caffe, Keras, SparkML Expert knowledge in Statistical and Probabilistic methods such as SVM, Decision-Trees, Clustering Expert knowledge of python data-science and math packages such as NumPy , Pandas, Sklearn Proficiency in object-oriented languages (Java and/or Kotlin),Python and common machine learning frameworks(TensorFlow, NLTK, Stanford NLP, Ling Pipe etc Education Bachelor Equivalent - Engineering Master's Equivalent - Engineering Work Experience Data Scientist 3-5 years of relevant experience in advanced statistical and mathematical models and predictive modeling using Python. Experience in the data science space prior relevant experience in Artificial intelligence and machine Learning algorithms for developing scalable models supervised and unsupervised techniques likeNLP and deep Learning Algorithms. Ability to build scalable models using Python, R-Studio, R Shiny, PySpark, Keras, and TensorFlow. Experience in delivering data science projects leveraging cloud infrastructure. Familiarity with cloud technology such as AWS / Azure and knowledge of AWS tools such as S3, EMR, EC2, Redshift, and Glue; viz tools like Tableau and Power BI. Relevant experience in Feature Engineering, Feature Selection, and Model Validation on Big Data. Knowledge of self-service analytics platforms such as Dataiku/ KNIME/ Alteryx will be an added advantage. ML Ops Engineering 3-5 years of experience with MLOps Frameworks like Kubeflow, MLFlow, Data Robot, Airflow, etc., experience with Docker and Kubernetes, OpenShift. Prior experience in end-to-end automated ecosystems including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, and ML operations. Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure, or GCP). Programming languages like Python, Go, Ruby, or Bash, a good understanding of Linux, knowledge of frameworks such as Keras, PyTorch, TensorFlow, etc. Ability to understand tools used by data scientists and experience with software development and test automation. Good understanding of advanced AI/ML algorithms & their applications. Gen AI :Minimum of 4-6 years develop, test, and deploy Python based applications on Azure/AWS platforms.Must have basic knowledge on concepts of Generative AI / LLMs / GPT.Deep understanding of architecture and work experience on Web Technologies.Python, SQL hands-on experience.Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT.Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT.Can interact with client on GenAI related capabilities and use cases.

What you will do In this vital role you will report to the Organizational Planning Analytics & Insights Procurement & Sourcing Lead, you will support Amgens Tech & Workforce Strategy by applying business analytics and change leadership skills to drive insights that impact resource allocation and sourcing strategy. Your responsibilities include dashboard development, ad-hoc reporting, business partnering & engagement, and financial baselining. This role supports organizational change and enables the development of an integrated approach to global sourcing and financial planning. Reporting to the Organizational Planning Analytics & Insights Procurement & Sourcing Lead, you will support Amgens Tech & Workforce Strategy by applying business analytics and change management skills to drive insights that impact resource allocation and sourcing strategy. Your responsibilities include dashboard development, ad-hoc reporting, business partnering & engagement, and financial baselining. This role supports change management and enables the development of an integrated approach to global sourcing and financial planning. Roles & Responsibilities: Addressing business challenges through process evaluation and insight generation. Develop insights with a strong focus on Tableau and Power BI dashboard creation, as well as PowerPoint presentations. Guide data analysts and data engineers on standard methodologies for building data pipelines to support dashboards and other business objectives. Conduct ad hoc analyses of FP&A and sourcing/procurement data. Addressing business challenges through process evaluation and insight generation. Develop insights with a strong focus on Tableau and Power BI dashboard creation, as well as PowerPoint presentations. Guide data analysts and data engineers on standard methodologies for building data pipelines to support dashboards and other business objectives. Conduct ad hoc analyses of FP&A and sourcing/procurement data. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree and 4 to 6 years of applicable experience in business analysis (finance analysis, data analysis, sourcing analysis, or similar experience OR Bachelors degree and 6 to 8 years of applicable experience in business analysis (finance analysis, data analysis, sourcing analysis, or similar experience OR Diploma and 10 to 12 years of applicable experience in business analysis (finance analysis, data analysis, sourcing analysis, or similar experience Preferred Qualifications: Masters degree in data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science, or a related field 4 years of relevant experience in data science, data analytics, consulting, and/or financial planning & analysis. A keen eye for design, with the ability to craft engaging PowerPoint decks and develop compelling Power BI and Tableau dashboards. Proven expertise in statistical/mathematical modeling and working with structured/unstructured data. Experience with procurement, sourcing, and/or financial planning data. Skilled in automating data workflows using tools like Tableau, Python, R, Alteryx, and PowerApps. Knowledge of global finance systems, Procurement, and sourcing operations. Experience with data analysis, budgeting, forecasting, and strategic planning in the Bio-Pharmaceutical or biotech industry. Growing in a start-up environment, building a data-driven transformation capability. Understanding of the Bio-Pharmaceutical and biotech industry trends and operations. Proven ability to engage with cross-functional business leaders to align data strategies with corporate objectives, redefining complex data insights into actionable strategies. Flexible work models, including remote work arrangements, where possible As we work to develop treatments that deal with others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, well support your journey every step of the way.

Job Area: Engineering Group, Engineering Group > Hardware Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Job Function: SOC Thermal analysis methodology developmentencompassing SoC, package and systems, for various Qualcomm products going into smartphones, laptops, automotives and virtual reality headsets. Developing strategies to predict and improve thermally constrained scores (AnTuTu/Geekbench) and also measure/tune it on post-Si platforms, including infrared imaging. Thermal measurement The candidate will be responsible for improving thermal mitigation strategies through power and thermal management to achieve optimal system thermal performance. Skills: Should possess strong analytical skills and mathematical modeling abilities. Knowledge of SOC stack up is must Good knowledge of scripting in PERL/Python required; some exposure to Machine Learning algorithms/frameworks will be a plus. Need to have thorough knowledge of heat transfer mechanisms and CFD. Proficiency with state-of-the-art thermal analysis tools- Ansys Icepak/Flotherm Thermal Measurement will be preferred skill Experience: BE/ME graduates with 1 to 3 years of experience.

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. About Target Tech: Every time a guest enters a Target store or browses Target.com nor the app, they experience the impact of Target s investments in technology and innovation. We re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 5,000 of engineers, data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests and we do so with a focus on diversity and inclusion, experimentation and continuous learning. About Team A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on. Position Overview Develop a strong understanding of business and operational processes. Analyse large datasets to derive insights for business process improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving supply chain network. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. About You Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 4+ years of relevant experience. Experience in applying Operations Research to solve complex problems in Supply chain or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analysing large datasets for insights leading to business improvements. Proficiency in Python, SQL, Hadoop/Hive, Spark. Strong experience in JVM-based languages like Java or Kotlin preferred. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Follow us on social media https://www.linkedin.com/company/target/ Target Tech- https://tech.target.com/

Description We are seeking a highly motivated individual with 4-14 years of experience in K-theory to join our research team in India. The ideal candidate will possess strong analytical skills and have a proven track record of conducting significant research in this area. Responsibilities Conduct research and analysis in K-theory and related areas. Collaborate with team members on mathematical modeling and problem-solving. Publish and present findings in academic journals and conferences. Engage in discussions and workshops to share knowledge and insights in K-theory. Mentor junior researchers and students in K-theory concepts and applications. Skills and Qualifications PhD in Mathematics or a related field with a focus on K-theory or Algebraic Topology. Strong analytical and problem-solving skills. Proficiency in mathematical software such as MATLAB, Mathematica, or similar tools. Experience with research methodologies and academic writing. Ability to work collaboratively in a team environment and communicate complex concepts clearly.

Developing models: Building and improving mathematical models for trading, forecasting, or data processing Conducting research: Analysing large datasets to identify trends and insights, and conducting research on financial markets and economic conditions Coding Skills: Strong coding skills in Python and other languages Using unconventional data: Using unconventional data sources to drive innovation Translating algorithms: Translating mathematical models into algorithms Managing Risk: Building Mathematical Models to help manage risk of a product or strategy Predictive Modelling: Building Predictive Model based on historical data on Monte Carlo Modelling Pseudo Code: Capability to write Pseudo Code and Python Code to test a mathematical model Systems: Good understanding of trading systems and trade execution process to limit latency and slippages Market Understanding: Good understanding of the Financial and Capital Markets Other Skills: Oversee the development and implementation of investment strategies using mathematical and statistical tools Conversant in the use of AI, ML and LLMs to improve productivity Compliance and Risk Management: Ensure the firms practices comply with SEBI regulations and other relevant legal requirements. Identify mathematical and statistical models for risk management of strategies and products Implement and monitor internal controls to manage and mitigate risks effectively. Qualifications: Bachelors degree in Maths, Master Preferred or Pursuing PhD in Maths Relevant experience in mathematics, statistics, computer science, or finance preferred Minimum of 3-5 years of experience in building mathematical models and Data Sciences Proven ability to develop and execute mathematical models in live market strategies High ethical standards and a commitment to acting in clients' best interests.

Sr. Product Engineer / Associate Technical Leader - Mechanical (Simulation based product development exp - Matlab) We are seeking a dynamic Sr. Product Engineer / Associate Technical Leader - Mechanical with 1 to 3 years of experience, specializing in simulation-based product development using Matlab. This role is critical for optimizing product performance and reliability through advanced analytical methods. Your primary responsibility will involve conducting duty cycle-based analysis in Matlab, where you will model, simulate, and analyze the behavior of mechanical or automotive systems under various real-world operating conditions. This includes developing algorithms and scripts in Matlab to process large datasets, perform statistical analysis, and create predictive models for performance, durability, and efficiency. You will be responsible for translating complex engineering problems into solvable mathematical models and developing simulation frameworks. Furthermore, you will interpret simulation results to identify potential design flaws, optimize system parameters, and propose data-driven design improvements. Collaboration with design engineers, testing teams, and product managers will be crucial to integrate simulation insights effectively into the product development lifecycle. Your expertise in Matlab programming, coupled with a strong foundation in mechanical or automotive engineering principles, will be essential in informing and optimizing our product designs.

We are inviting exceptional academic talent to join us. We are looking for the roles of Professor, Associate Professor, and Assistant Professor. Important Criteria: We are only considering candidates who are currently teaching at IITs, IISc, or BITS this time. For Job Description and more details please check out this link (Mathematics): https://developers.turing.com/invite/eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJqb2JJZCI6MzM5MTYsInVzZXJJZCI6MTE5NCwidXNlclJvbGUiOiJUQV9TT1VSQ0VEIiwiaWF0IjoxNzQ4MjcxNzA1fQ.J_OzSikf2_qkkkc1U1HWVISP61LXVG5iNtpp7EVEa_g It will take you to the Turing job page, where you need to create an account ,upload your resume and complete the Interest Form. Next Steps and details: Complete the Interest form. The team will reach out to you for an interview, based on your resume matching to our requirement. Budget Range: 30-60 USD per hour. (Depends case to case basis) Engagement Length: 3-6 months. Employment Type: Part Time Hours committed: 20 hrs in the week Location: Remote, India Role Overview: We are seeking highly qualified individuals with a strong background in Mathematics ideally Professors or Assistant Professors from leading Indian institutions to contribute to the design and evaluation of large language models (LLMs). In this role, you will emulate mathematical problem-solving, create high-quality prompts and training data, and develop structured representations of tasks to enhance model reasoning in mathematics education and research. Day-to-Day Responsibilities: Simulate expert-level reasoning in mathematics across various domains (e.g., algebra, calculus, number theory, statistics, linear algebra). Design prompts and few-shot examples to guide the model toward solving complex mathematical problems. Generate synthetic datasets including proof-based questions, conceptual explanations, step-by-step solutions, and problem sets. Define schemas or abstract task representations for mathematical reasoning, such as symbolic manipulation, theorem verification, or quantitative modeling. Build evaluation scenarios that test model performance in structured problem-solving, real-world applications, or mathematical instruction. Design scoring rubrics to assess the rigor, correctness, and clarity of model-generated mathematical outputs. Simulate interactions with external tools like symbolic solvers or computational systems (e.g., WolframAlpha, Python math libraries). Requirements: Professors/Assistant Professors in Mathematics or Applied Mathematics from top Indian institutions. Deep understanding of mathematical reasoning, abstraction, and pedagogy. Experience with large language models, prompt engineering, or AI-based educational tools is a plus. Ability to structure and communicate complex mathematical concepts with clarity. Strong attention to logical consistency and accuracy in computational tasks. Passion for improving AI capabilities in mathematical understanding and problem-solving. Offer Details: Hours committed: 10-20 hrs in the week Employment Type: Part-time Location: India What we provide: Collaborative work environment with other STEM enthusiasts. Flexible working hours and remote work environment. Opportunity to work on cutting-edge AI projects with leading LLM companies. Feel free to reach out for any queries at shubhanshi.srivastava@turing.comLooking forward to your application! Best Regards, Shubhanshi Srivastava Talent Acquisition Team

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: JD for Cloud Machine Learning LLM Serving Staff engineer Job Overview: The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must. Key Responsibilities Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs. Analyze and identify system level issues, interface with the software development, integration, and test teams Lead high performing teams towards system design and deliverables. Proven track record of leading teams in Machine learning software engineering. Strong foundation of Mathematical modeling of problems and linear algebra, coupled with state of the art algorithms in ML/AI space. Improve and optimize key Deep Learning models on Qualcomm AI 100. Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories. Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning. Build software tools and ecosystem around AI SW Stack. Work on vLLM, Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator. Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems. Optimize the entire deep learning pipeline including graph compiler integration. Apply knowledge of software engineering best practices. Desirable Skills and Aptitudes Deep Learning experience or knowledge- LLMs, Natural Language Processing, Vision, Audio, Recommendation systems. Knowledge of the structure and function of different components of Pytorch, TensorFlow software stacks. Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design. Ability to work independently, define requirements and scope, and lead your own development effort. Well versed with open-source development practices. Strong developer with a research mindset- strives to innovate. Avid problem solver- should be able to find solutions to key engineering and domain problems. Knowledge of tiling and scheduling a Machine learning operator is a plus. Experience in using C++ 14 (advanced features) Experience of profiling software and optimization techniques Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus. Experience of ML compiler, Auto-code generation (using MLIR) is a plus. Experiences to run workloads on large scale heterogeneous clusters is a plus. Hands-on experience with CUDA, CUDNN is a plus. Qualifications : Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field. 8+ years Software Engineering or related work experience. 8+ years experience with Programming Language such as C++, Python. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. 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.