19 Mathematical Modeling Jobs

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.

Overseeing the manufacturing process, ensuring quality, and installing mechanical components and systems Analyzing data, and evaluating the performance of mechanical designs and systems. Troubleshooting malfunctions, conducting root cause analysis,

Job Title: Operations Research Scientist Key Responsibilities 1. Model Development Translate business requirements in to solid and detailed mathematical problems Design and build mathematical optimization models (like linear, integer, nonlinear programming, mixed integer linear, stochastic optimization, heuristics, dynamic programming or RL-based optimization) Develop stochastic models \ simulation models to analyse system performance and its evolution; play-out scenarios and predict behaviour under varying conditions Verify models with actual data, identify gaps, modify model parameters, fine-tune and check sensitivity for more aligned performance. 2. Implementation & Deployment Collaborate with engineering teams to integrate models into production environments, ensuring scalability and reliability Test and validate models for accuracy, usability, and alignment with business objectives Design monitoring systems to track model performance over time Iteratively improve models based on real-world feedback and changing conditions 3. Communication & Collaboration Translate complex technical concepts into clear, actionable insights for non-technical stakeholders Create compelling stories, analysis, documents and dashboards to illustrate model outputs and recommendations Present findings to executive leadership, highlighting business impact and ROI Work cross-functionally with business units to understand core operational challenges and requirements Train and support end users in interpreting and applying model outputs Required Qualifications 1. Education Master's Operations Research, Industrial Engineering, Applied Mathematics, or related field 2. Technical Skills Strong programming skills in at least one language commonly used for optimization (Python, C++, C, Java) Proficiency with optimization solvers (e.g., Gurobi, CPLEX etc) Competent in developing mathematical optimization models using mathematical modeling languages such as OPL, GAMS, AMPL or develop with Pyomo, Gurobipy, etc. Proficient in code driven simulation models and software driven (AnyLogic, Arena etc) Experience with statistics, data analytics and visualization 3. Experience 3+ years experience applying OR techniques to solve business problems 4. Soft Skills Ability to translate high-level requirements and deadlines into shorter-term work tasks, self-direct work and collaborate Excellent communication skills with demonstrated ability to explain complex concepts to non-technical audiences Experience deploying models in production and real-world environments Preferred Qualifications PhD in Operations Research, Applied Mathematics, or related field Experience with cloud computing platforms (AWS, Azure, GCP) Ability to analyse system design and process design, and build wholistic solutions Knowledge of machine learning techniques and their integration with OR approaches Familiarity with visualization tools (Tableau, Power BI) and dashboard creation Industry experience in logistics, airlines, supply chain, manufacturing, or healthcare Publications in relevant conferences or journals Success in this Role The ideal candidate doesn't just build elegant models that work in theory but creates practical solutions that deliver real business value in complex, dynamic environments. They posses strong analytical skills and Role & responsibilities Preferred candidate profile

SENIOR OPTIMIZATION ENGINEER Hyderabad Role Senior Optimization Engineer Contract type Permanent About the role As a Senior Optimization Engineer you provide technical expertise in the area of numerical optimization of thermo-fluid systems which are core to the Company's business this includes trade-off and optimize energy efficiency, production cost and operating economy. You engage with global product teams to solicit business needs and convert those into computational decision-making workflows, methods and tools to radically impact how company's products are designed, deployed and operated. Key targets include improving engineering effectiveness as well as developing disruptive, innovative methods for model-based design and operation of company's systems. You also take active part in product development to support design engineers in adopting and using new methods and tools. You also work closely with other teams in Systems, Controls, ML/AI COE, including teams responsible for model development (to drive the development of optimization-friendly thermo-fluid models) and controls engineering (to promote the use of computational optimization strategies (MPC, RTO) as needed). We are offering you We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary. A dynamic and international work environment in a company with high technology products. A strong growth strategy and people who are passionate about what they do. Requirements Education MEng or PhD in a relevant Engineering discipline (e.g., applied mathematics, mechanical or chemical engineering) with 5+ years of experience. Skills and qualifications Proven ability to capture engineering design and operation problems as mathematical programming problems (NLPs), including attention to reliable convergence of such problems. Proficient with the mathematical theory (applied mathematics, numerical analysis and functional analysis), algorithmic foundations (notably existence and convergence proofs), and methods/tools for numerical optimization (SQP, interior point method, etc.) of large-scale systems. Experience from using common algorithms/solvers for large-scale gradient-based non-linear programs, e.g., IPOPT, CONOPT, KNITRO, and WORHP, including their respective applicability to different types of problems. Experience from formulating and solving discrete optimization problems and using common algorithms, including CPLEX and Gurobi. Familiarity with physics-based modeling principles and best practices of thermo-fluid systems, such as vapor compression cycles or power plants. Familiarity and experience with development of computational platforms and tools in Python or equivalent. Familiarity with using HPC and cloud-based platforms for computation at scale. Demonstrated ability to work as part of a multidisciplinary team and an entrepreneurial attitude towards technological innovation in a global environment. Self-starter who is well-organized in an international team environment, with proven communication skills. Responsibilities Deployment. Support that methods and tools developed in the group impact the company's business through engagement in global product projects, including capture and formulation of computational problems arising in such projects. Methods, tools and algorithms. Ensure that appropriate computational methods, tools and algorithms for large-scale numerical optimization are based on sound mathematical foundations and are deployed to match the needs of the company's business, including contributing to the architecture, development, testing and documentation of the methods and tools developed in the group. Modeling for optimization. Support development of mathematical models for thermo-fluid systems are built based on principles and best practices that secure reliable application of numerical optimization algorithms. Talent. Support development and training of staff within company's product teams and within the Computational Engineering group; contribute to talent pipeline by supervising student internships and theses.

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software. Job Description: The System Simulation group in Siemens Engineering Services (ES) organization is looking for a system engineer who can: Develop System/ Sub-system/ Component level models using Simcenter Amesim for mechanical / hydraulic systems Analyze system steady state / dynamic response in time domain / frequency domain! Analyze vehicle dynamics attributes such as Handling, Ride, Driveability, NVH. Implement project tasks independently under project managers supervision; communicate expectations, plan and requirements; also coordinate all work within the scope of assigned projects. Support the analysis of a given engineering requirement and the selection of appropriate level of modeling complexity. Support the optimization of designs through system models! Qualifications: Masters Degree (M.E.,/M.Tech.,) / Bachelors Degree (B.E.,/B.Tech.,) in any core engineering field (Mechanical / Automotive / Aeronautical / ) w ith 2-5 years of experience in system modelling in 1D simulation platform Experience with 1D System simulation software such as Amesim / GT Suite / Dymola, Matlab /Simulink etc. Possess a good fundamental understanding of and an open attitude to learn and contribute towards other engineering domains, as may be needed in our engineering services business. Good understanding of fundamentals for mathematical modelling for Mechanical / Hydraulic Systems/ Sub-systems. Experience with Electric vehicle systems modelling and simulation with some knowledge in electrical and electronics will be an advantage. Exposure to other 3D based simulation (MBD /CFD) will be an added advantage. Good communication and soft skills to interact and collaborate efficiently with the global ES teams as well as the global customers.

Responsibilities: Develop and/or modify process models for Drug Substance, Drug Product and Packaging operations using discrete event simulation Provide technical support for process optimization analysis, such as debottlenecking, capacity analyses, and what if analysis for manufacturing operations Assist technical OOPT members with data analysis for manufacturing system integrations and the debugging/testing of data interfaces using SQL. Provide customer support for the RTMS platform. This includes troubleshooting, escalating, and resolving issues reported by the users at the different sites Use of agile tools (e.g. Jira, Confluence) and methodologies (e.g. sprints) to deliver defined product increments Delivery in accordance with defined scope/time/acceptance criteria Required Education and Experience: B.S. in Science/Engineering or equivalent technical field with 5-7 years of relevant experience. Demonstrated experience in mathematical modeling and at least one programming/scripting language (e.g. C/C++, Matlab, Python, R, C#, Java). Ability to communicate effectively with both technical and non-technical personnel to achieve the desired outcomes Excellent, proactive written communication, coupled with the ability to divide assigned tasks into smaller increments to leverage the timezone differences across the team. For example, the ability to receive written feedback on a task from a colleague/customer working overnight, and then work independently to address the feedback and reply in writing so that the colleague/customer can review the completed task when their work hours resume. Strong analytical problem-solving skills and ability to work independently within the roles defined responsibilities. For example, although these roles work in collaboration with other technical team members, success will require the ability to proactively and independently overcome obstacles. Successful candidates should be prepared to apply their full expertise to situations and take appropriate initiative to solve problems. Ability to work both independently and collaboratively with a globally dispersed team Practice in Agile Methodology and Continuous Improvement and with a Digital & Innovative mindset Expertise in authoring and executing technical documentation following industry standards and methodologies (SDLC, AGILE) Knowledge of manufacturing systems such as PAS-X MES, Aveva PI, etc

Undertake intense software development activity using C# in the field of CAD / CAM / CAE Required Candidate profile Knowledge of C# Excellent Fundamentals in OOP Experience up to 3 years preferred. Knowledge of MCAD software would be an advantage Solid Grounding in Math - Computational Geometry.

Job Area: Engineering Group, Engineering Group > Software 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 Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. 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. D for Cloud Machine Learning Framework 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 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. 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 :Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from 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.

What youll be doing... Commercial Data & Analytics Hub is part of the Verizon Global Services (VGS) organization. In this hub, you will be part of an advanced analytics team tackling supply chain and business operations problems. The teams goal is to provide actionable insights that drive business value. Our team leverages big data and tools like statistical analysis, machine learning algorithms, optimization methods, operations research techniques, and related analytical tools. For our team, developing a thorough understanding of the business context is absolutely critical to success. As part of this team, you must possess a strong understanding of data structures, mathematical modeling, and machine learning methodologies. You will need to develop a thorough understanding of the business context relevant to each project you support. You will apply your technical expertise and business knowledge to extract meaningful insights from complex datasets. You will then need to communicate your findings to stakeholders and influence strategic decision-making. The ideal team member is someone who can help us and our business partners solve supply chain and operations problems from end-to-end through the stages of problem definition, hypothesis development, data preparation, model selection and training, and insight generation. Deeply understand business requirements and translate them into well-defined analytical problems, identifying the most appropriate statistical techniques and modeling approaches to deliver impactful solutions. Expertly manipulate and prepare data for modeling, leveraging your knowledge of data structures, transformation techniques, and feature engineering to optimize model performance. Lead the design, development, and validation of sophisticated statistical models and machine learning algorithms to address complex business challenges and drive strategic decision-making. Develop and implement rigorous model validation frameworks to ensure the accuracy, reliability, and generalizability of your models, adhering to best practices in statistical modeling and machine learning. Clearly and effectively communicate complex statistical concepts and model results to both technical and non-technical audiences, translating your findings into actionable insights for stakeholders. What were looking for... You will need to Have: Bachelors degree or four or more years of work experience Four or more years of relevant work experience A deep understanding of various machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and time series analysis Advanced programming skills in Python or R with deep familiarity with relevant machine learning and data manipulation libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy) Proficiency in SQL, including experience with large datasets and distributed computing environments. Ability to collaborate effectively across teams for data discovery and validation Excellent communication and presentation skills, with the ability to clearly articulate complex technical concepts to both technical and non-technical audiences. Even better if you have one or more of the following: Experience in maintaining repositories in Git Experience with Alteryx. Experience with dashboards creation using Tableau/QLIK/Looker Expertise in advanced statistical modeling techniques, such as Bayesian inference or causal inference. Experience with supply chain and business operations processes Practical experience or strong theoretical understanding of large language models (LLMs) and their applications in a business context. An understanding of the ethical considerations and potential biases associated with generative AI, and strategies for responsible development and deployment. Contributions to open-source projects or publications in relevant data science or machine learning conferences. Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying machine learning models at scale using platforms like Domino Data Lab or Vertex AI Experience in applying statistical ideas and methods to data sets to answer business problems. Excellent interpersonal, verbal and written communication skills.

We're hiring PhD Math Experts for an AI Trainer role! Work on training AI models by solving, reviewing, and improving advanced math content. Strong subject knowledge and written skills required. Apply now to help shape the future of AI in education!