423 Nonlinear Jobs - Page 2

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

This Job is based in Australia The Opportunity The School of Chemical Engineering at UNSW has an opportunity for a Research Associate. The Postdoctoral Research Fellow is required to carry out scientific research on an aspect of an ARC Discovery Project on “A Probabilistic Approach to Big Data-Based Industrial Process Control” (DP250101137). The Postdoctoral Research Fellow is expected to undertake research on control theory and machine learning techniques for project DP250101137. The Postdoctoral Research Fellow will work with the Process Control Group in the School of Chemical Engineering. This role reports to Professor Jie Bao and has no direct reports. Salary, Level A - $91,381 - $121,838 per annum + 17% superannuation Full Time Fixed-term contract – 24 months Location: Kensington – Sydney, Australia About UNSW UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place. This position is based within the School of Chemical Engineering that is well known in the industry as a top provider of quality education and cutting-edge research. We’re ranked 13th in the world and 1st in Australia by the NTU Ranking of Scientific Papers. Our aim is to deliver the best we possibly can to the future of Chemical Engineering, Industrial Chemistry and Food Science and Technology. Our passionate academics are eager to share their vast knowledge and experience with graduate students and we’re at the forefront of innovation and emerging technologies through several international research groups and centres. For further information about our school go to - https://www.unsw.edu.au/engineering/our-schools/chemical-engineering Skills & Experience PhD in Engineering or Mathematics. Demonstrated skills and experience with process control and modern control theories including nonlinear control and stochastic systems theory, ideally Behavioural Systems theory and applications. Demonstrated ability to conduct independent research with limited supervision. Demonstrated track record of publications and conference presentations relative to opportunity. Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships. Strong interpersonal skills with demonstrated ability to communicate and interact with a diverse range of stakeholders and students. Strong mathematical skills. An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines. To be considered you will hold Australian Working Rights or Australian Citizenship. Visa sponsorship is not available for this appointment. Additional details about the specific responsibilities for these positions can be found in the position description. This is available via JOBS@UNSW. To Apply Please click the apply now button and submit your CV, Cover Letter and Responses to the Skills and Experience. You should systematically address the Skills and Experience listed within the position description in your application. Please note: Visa sponsorship is not available for this position. Please note applications will not be accepted if sent to the contact listed below. Contact : Allyssar Hamoud – Talent Acquisition Associate E: a.hamoud@unsw.edu.au Applications close: 11:55 pm (Sydney time) on Thursday 18th September 2025 UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

• Proven experience in the design of building structures with a solid track record in a similar role. • Strong management, communication, and technical skills, with the ability to work both independently and as part of a team. • Fluency in English with an excellent understanding of technical terminology. Any previous publications are a plus. Basic Qualifications • Structural Engineer with 7+ years of experience in designing structures per ASCE, ACI, and AISC building codes. • Bachelor’s degree in civil engineering or master’s degree in Structural Engineering. • A sound understanding of Microsoft Outlook, Word, Excel, and Project is essential. • Basic Experience in Revit drafting and modeling for building structures. • Should have working experience in handling projects in high seismic zones along the US West coast. • Understanding of ductility principles and seismic design of structures, including performance-based design. • Ability to develop spreadsheets and Automate day-to-day tasks. • Experience in analysis and design of mid to high-rise building structures. Preferred Qualifications • Master of Science in Civil Engineering obtained from a University in the United States. • Experience of working with a US company in the United States preferred. • The candidate has obtained a Professional Engineer (PE) license in any state in the US or equivalent. Technical Skills • Proficiency in technical structural software such as RAM SS, RAM Concept, ETABS, SAP2000, and RISA is a must. • A sound understanding of Microsoft Outlook, Word, Excel, and Project is essential. • Proficient in Reinforced Concrete, Steel, Post Tensioning, Tilt-up construction. • Candidates should understand ductility principles for seismic design. • Ability to develop spreadsheets and Automate day-to-day tasks. • Experience in analysis and design of mid to high-rise building structures. • Nonlinear Static and Nonlinear Dynamic analysis of structures using PERFORM-3D is a plus. • Experience with programming and tools development with Python and VBA is a plus. Responsibilities • Design Ownership & Delivery: Execute assigned structural design tasks with minimal supervision, ensuring work is delivered within allocated hours, with an appropriate level of detail, and in accordance with project deadlines. Maintain clear communication with the project lead regarding design progress and rationale behind design decisions. • Quality Assurance & Documentation Control: Adhere strictly to internal QA/QC processes and document control protocols. Ensure all drawings, reports, calculations, and correspondence are prepared, reviewed, issued, and archived systematically and professionally. • Code-Compliant Technical Design: Carry out detailed structural design and analysis in line with client requirements and the latest applicable codes and standards (e.g., ACI, AISC, ASCE). Demonstrate a strong understanding of structural systems, constructability, and interdisciplinary coordination. • Technical Calculations & Supervision: Organize and perform structural calculations using industry standards and tools. Supervise and support junior team members in delivering delegated tasks, ensuring quality, timeliness, and compliance with project requirements. • Coordination & Communication: Manage day-to-day technical coordination within the design team and external consultants. Ensure timely availability of design data and documentation needed to meet client and project expectations. • Software Proficiency & Modeling: Utilize appropriate software tools for modeling, drafting, and structural analysis (e.g., ETABS, SAP2000, SAFE, RAM, RISA, Revit). Perform both automated and manual design checks as part of the design validation process. • Mentorship & Team Development: Provide guidance to junior engineers, fostering a learning-oriented environment. Assist in organizing training sessions and knowledge-sharing initiatives to support continuous professional development within the team.

About Gap Inc. Our past is full of iconic moments — but our future is going to spark many more. Our brands — Gap, Banana Republic, Old Navy and Athleta — have dressed people from all walks of life and all kinds of families, all over the world, for every occasion for more than 50 years. But we’re more than the clothes that we make. We know that business can and should be a force for good, and it’s why we work hard to make product that makes people feel good, inside and out. It’s why we’re committed to giving back to the communities where we live and work. If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, come grow with us. About the Role In this role, you are responsible for the design, development, programming methods, processes and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for businesses across the company. You will support the team to build the Data and Analytics capabilities, enriching the analytical platform on behalf of the entire organization in partnership with GapTech, PDM & Business. What You'll Do Develop software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose and optimize performance and develop statistical models and analysis for ad hoc business focused analysis Communicate meaningful, actionable insights from large data and metadata sources to stakeholders Able to communicate difficult concepts in a simple manner Participate in projects and assignments of diverse scope Who You Are Advanced proficiency in R, Python, Spark, Hive (or other MR), and common scripting languages for E2E pipeline Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments Experience with ML and classical predictive techniques such as logistic regression, decision trees, nonlinear regressions, ANN/CNN, boosted trees, SVM, Tensorflow, visualization packages, and a track record for creating business impact with these methods Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building Present problem analysis and recommended solutions in a creative and logical manner Benefits at Gap Inc. One of the most competitive paid time off plans in the industry Comprehensive health coverage for employees, same-sex partners and their families Health and wellness program: free annual health check-ups, fitness center and Employee Assistance Program Comprehensive benefits to support the journey of parenthood Retirement planning assistance See more of the benefits we offer. Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

About Gap Inc. Our past is full of iconic moments — but our future is going to spark many more. Our brands — Gap, Banana Republic, Old Navy and Athleta — have dressed people from all walks of life and all kinds of families, all over the world, for every occasion for more than 50 years. But we’re more than the clothes that we make. We know that business can and should be a force for good, and it’s why we work hard to make product that makes people feel good, inside and out. It’s why we’re committed to giving back to the communities where we live and work. If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, come grow with us. About The Role In this role, you are responsible for the design, development, programming methods, processes and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for businesses across the company. You will support the team to build the Data and Analytics capabilities, enriching the analytical platform on behalf of the entire organization in partnership with GapTech, PDM & Business. What You'll Do Develop software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose and optimize performance and develop statistical models and analysis for ad hoc business focused analysis Communicate meaningful, actionable insights from large data and metadata sources to stakeholders Able to communicate difficult concepts in a simple manner Participate in projects and assignments of diverse scope Who You Are Advanced proficiency in R, Python, Spark, Hive (or other MR), and common scripting languages for E2E pipeline Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments Experience with ML and classical predictive techniques such as logistic regression, decision trees, nonlinear regressions, ANN/CNN, boosted trees, SVM, Tensorflow, visualization packages, and a track record for creating business impact with these methods Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building Present problem analysis and recommended solutions in a creative and logical manner Benefits at Gap Inc. One of the most competitive paid time off plans in the industry Comprehensive health coverage for employees, same-sex partners and their families Health and wellness program: free annual health check-ups, fitness center and Employee Assistance Program Comprehensive benefits to support the journey of parenthood Retirement planning assistance See more of the benefits we offer. Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

About Gap Inc. Our past is full of iconic moments — but our future is going to spark many more. Our brands — Gap, Banana Republic, Old Navy and Athleta — have dressed people from all walks of life and all kinds of families, all over the world, for every occasion for more than 50 years. But we’re more than the clothes that we make. We know that business can and should be a force for good, and it’s why we work hard to make product that makes people feel good, inside and out. It’s why we’re committed to giving back to the communities where we live and work. If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, come grow with us. About The Role In this role, you are responsible for the design, development, programming methods, processes and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for businesses across the company. You will support the team to build the Data and Analytics capabilities, enriching the analytical platform on behalf of the entire organization in partnership with GapTech, PDM & Business. What You'll Do Develop software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose and optimize performance and develop statistical models and analysis for ad hoc business focused analysis Communicate meaningful, actionable insights from large data and metadata sources to stakeholders Able to communicate difficult concepts in a simple manner Participate in projects and assignments of diverse scope Who You Are Advanced proficiency in R, Python, Spark, Hive (or other MR), and common scripting languages for E2E pipeline Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments Experience with ML and classical predictive techniques such as logistic regression, decision trees, nonlinear regressions, ANN/CNN, boosted trees, SVM, Tensorflow, visualization packages, and a track record for creating business impact with these methods Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building Present problem analysis and recommended solutions in a creative and logical manner Benefits at Gap Inc. One of the most competitive paid time off plans in the industry Comprehensive health coverage for employees, same-sex partners and their families Health and wellness program: free annual health check-ups, fitness center and Employee Assistance Program Comprehensive benefits to support the journey of parenthood Retirement planning assistance See more of the benefits we offer. Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

About Gap Inc. Our past is full of iconic moments — but our future is going to spark many more. Our brands — Gap, Banana Republic, Old Navy and Athleta — have dressed people from all walks of life and all kinds of families, all over the world, for every occasion for more than 50 years. But we’re more than the clothes that we make. We know that business can and should be a force for good, and it’s why we work hard to make product that makes people feel good, inside and out. It’s why we’re committed to giving back to the communities where we live and work. If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, come grow with us. About The Role In this role, you are responsible for the design, development, programming methods, processes and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for businesses across the company. You will support the team to build the Data and Analytics capabilities, enriching the analytical platform on behalf of the entire organization in partnership with GapTech, PDM & Business. What You'll Do Develop software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose and optimize performance and develop statistical models and analysis for ad hoc business focused analysis Communicate meaningful, actionable insights from large data and metadata sources to stakeholders Able to communicate difficult concepts in a simple manner Participate in projects and assignments of diverse scope Who You Are Advanced proficiency in R, Python, Spark, Hive (or other MR), and common scripting languages for E2E pipeline Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments Experience with ML and classical predictive techniques such as logistic regression, decision trees, nonlinear regressions, ANN/CNN, boosted trees, SVM, Tensorflow, visualization packages, and a track record for creating business impact with these methods Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building Present problem analysis and recommended solutions in a creative and logical manner Benefits at Gap Inc. One of the most competitive paid time off plans in the industry Comprehensive health coverage for employees, same-sex partners and their families Health and wellness program: free annual health check-ups, fitness center and Employee Assistance Program Comprehensive benefits to support the journey of parenthood Retirement planning assistance See more of the benefits we offer. Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

About Gap Inc. Our past is full of iconic moments — but our future is going to spark many more. Our brands — Gap, Banana Republic, Old Navy and Athleta — have dressed people from all walks of life and all kinds of families, all over the world, for every occasion for more than 50 years. But we’re more than the clothes that we make. We know that business can and should be a force for good, and it’s why we work hard to make product that makes people feel good, inside and out. It’s why we’re committed to giving back to the communities where we live and work. If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, come grow with us. About The Role In this role, you are responsible for the design, development, programming methods, processes and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for businesses across the company. You will support the team to build the Data and Analytics capabilities, enriching the analytical platform on behalf of the entire organization in partnership with GapTech, PDM & Business. What You'll Do Develop software programs, algorithms and automated processes that cleanse, integrate and evaluate large data sets from multiple disparate sources Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose and optimize performance and develop statistical models and analysis for ad hoc business focused analysis Communicate meaningful, actionable insights from large data and metadata sources to stakeholders Able to communicate difficult concepts in a simple manner Participate in projects and assignments of diverse scope Who You Are Advanced proficiency in R, Python, Spark, Hive (or other MR), and common scripting languages for E2E pipeline Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments Experience with ML and classical predictive techniques such as logistic regression, decision trees, nonlinear regressions, ANN/CNN, boosted trees, SVM, Tensorflow, visualization packages, and a track record for creating business impact with these methods Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building Present problem analysis and recommended solutions in a creative and logical manner Benefits at Gap Inc. One of the most competitive paid time off plans in the industry Comprehensive health coverage for employees, same-sex partners and their families Health and wellness program: free annual health check-ups, fitness center and Employee Assistance Program Comprehensive benefits to support the journey of parenthood Retirement planning assistance See more of the benefits we offer. Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

Entity: Production & Operations Job Family Group: Engineering Group Job Description: About Bp bp Technical Solutions India (TSI) centre in Pune, aims to build on bp’s existing engineering and technical strengths to deliver high quality services to its hydrocarbons and new energy businesses worldwide. TSI brings together diverse engineering capability to provide technical services across a range of areas including engineering, maintenance, optimization, data processes, projects and subsurface, to deliver safe, affordable and lower emission energy, while continuously innovating how we work. At bp, we’re reimagining energy for people and our planet. We’re leading the way in reducing carbon emissions and developing more sustainable methods for solving the energy challenge. We’re a team with multi-layered strengths of engineers, scientists, traders and business professionals determined to find answers to problems. And we know we can’t do it alone. We’re looking for people who share our passion for reinvention, to bring fresh opinions, ambition, and to challenge our thinking in our goal to achieve net zero! Let Me Tell You About The Role The floating systems engineer will provide field expertise for operation support, including brownfield projects and life extension work. The engineer will proactively interact with other fields and contractors to systematically resolve technical challenges and problems and apply sound engineering judgment to drive integrated, pragmatic solutions on risk management, project delivery, operational efficiency, defect elimination, and standardization. The floating systems engineer will be based in Pune, India. We are looking for a candidate with a solid technical background who can make fit-for-purpose recommendations for operations, including and not limited to the inspections, repairs, and Fabric Maintenance scoping. In addition, the candidate needs strong stakeholder management skills and ability to effectively communicate technical outcomes, to ensure engineering risks are understood, controlled, and continuously reduced across the business to deliver safe, reliable and cost-effective pragmatic results. Responsibilities What you will deliver You will be an integrated member of the central Civil & Structural (C&S) team, Pune branch, fully deployed to bp’s Gulf of America floating system integrity squad. You will act as asset responsible floating system integrity engineer to ensure the integrity delivery and the maintenance of operating assets in a suitable condition to deliver the company’s safety and business goals. You are also an integrated member of the Gulf of America integrity management team. As a floating systems engineer, you will: Deliver the regional floating systems and structural integrity management plans for supported assets based on company guidance and industry codes. Own the asset floating systems and structural inspection scoping, monitoring, and maintenance strategies to determine the facility's current condition. Own the floating systems and structural performance standards of the supported facilities. You will assess whether the facility meets the performance standards in its current condition, following company guidance and industry codes. Report significant deterioration in structural conditions or any deviation from the performance standards through the company Anomaly Assessment and Tracking tool. You will process and communicate the risks to the appropriate level following the operation dashboard, emerging risk process, and risk assurance tool as appropriate. Support the regional severe weather evacuation preparation and post-hurricane or winter storm inspection. You will supervise platform performance using the marine monitoring systems and data to ensure the floaters operate within the safe operation limits. Define the floating systems and structural engineering scope of work for new construction, modifications to existing assets, and life extension work, focus primarily on topside structural work. Provide technical assurance for third-party engineering deliveries, ensuring design and operations follow industry codes, company technical practices, and performance standards. Maintain relationships with third-party providers and contractors. Assess the impact of significant weight and metocean changes to operating assets. Deliver fit-for-purpose solutions that consider operational constraints and asset as-is conditions. You will actively contribute to the floating systems Community of Practice by sharing best practices and learning. Additionally, you will: support the Subject Matter Experts (SMEs) with the development and upkeep of company engineering technical practices, ensuring they are fit for purpose, and work with SMEs to address lessons learned. You will drive efforts to ensure floating systems risks, including pre-service and in-place conditions, operation, or metocean factors, are understood, controlled, and continuously reduced across the business to deliver safe and reliable results, and effectively communicate these risks to business and technical stakeholders. People and business related: Provide visible safety leadership in accordance with bp safety leadership principles, lifesaving rules, and process safety fundamentals to model desired safety behaviors Record relevant lessons learned in the bp shared learning system, escalate as vital and incorporate into local activities and specifications/ practices/ procedures. Support performance management through implementation, measurement, and analysis of relevant KPI’s to drive continuous improvement What You Will Need To Be Successful Must have educational qualifications: BSc or BEng (UK), BSc (US), or international equivalent in civil/structural engineering, naval architecture, ocean engineering, or a closely aligned field. Must have certifications: Chartered engineer, professional engineer, or near chartered/professional status in a closely aligned field, or evidence of progression towards full chartered/professional status. Preferred education/certifications: Postgraduate qualification in civil/structural engineering, naval architecture, ocean engineering, or a closely aligned field. Minimum years of proven experience: 7+ years Total years of experience: 7+ years Must Have Experiences/skills (To Be Hired With) Knowledge of discipline-related industry standards (API RP 2FPS, 2SK, 2TOP, 2A-WSD, AISC WSD, and ISO 19900/19904 series) and class codes (ABS, DNV, or BV). Proven industry experience in semi and FPSO topside design, construction, installation, and integrity management. Experience in nonlinear finite element analysis, hot spot stress calculations, and spectral fatigue analyses for topside structures. People leadership, teamwork, communication skills, and an ability to network and influence across organizational boundaries. Capable of communicating both verbally and in writing clearly and succinctly. Fluent in English, both written and oral. Individual must be highly motivated and a self-starter. Good to have experiences/skills (Can be trained for – learning/on-the-job): Experience in management of change, risk assessment, performance management, maintenance, and repair strategies. Experience in applying risk-based methodology for platform inspection and anomaly management. You will work with Other central field engineering teams Regional IM Teams Regional and central IM execution teams Regional facility supports squads and operations teams Projects delivery leads Maintenance teams within bpTSI and Regions External Vendors and Contractors. Ad hoc teams as required Why join bp team? At bp, we support our people to learn and grow in a diverse and challenging environment. We believe that bp team is strengthened by diversity. We are committed to crafting an inclusive environment in which everyone is respected and treated fairly. We provide an excellent environment and benefits such as an open and inclusive culture, a great work-life balance, tremendous learning and development opportunities to craft your career path, life and health insurance, medical care package and many others! Diversity sits at the heart of our company and as an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone's place. We do not discriminate based on race, religion, color, national origin, gender and gender identity, sexual orientation, age, marital status, veteran status or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application and interview process, to perform complicated job functions, and to receive other benefits and privileges of employment. Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is not available for remote working Skills: Agility core practices, Analytical Thinking, Commercial Acumen, Communication, Creativity and Innovation, Data Analysis, Design approaches, Designing for climate change and zero carbon, Digital fluency, Emerging technology monitoring, Engineering evaluation, Incident investigation and learning, Inspection and monitoring strategy, Numerical modelling, Scripting, Sustainability awareness and action, Technology Development, Uncertainty Quantification Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

responsibilities Collaborate with experienced technical Leadership team to conceive, design, and bring innovative solutions and services to market. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Ability to debug, understand and enhance the functional capabilities which suites with our client needs Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Ability to design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. Previous technical internship(s), if applicable. Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. • Ability to effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Job Type: Full-time Pay: ₹5,000.00 - ₹10,000.00 per month Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) Java: 1 year (Preferred) JSP: 1 year (Preferred) License/Certification: Java (Preferred) Work Location: In person

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

We are seeking a skilled Data Scientist with 2 to 5 years of experience, specializing in Machine Learning, PySpark, and Databricks, with a proven track record in long-range demand and sales forecasting. This role is crucial for the development and implementation of an automotive OEM’s next-generation Intelligent Forecast Application. The position will involve building, optimising, and deploying large-scale machine learning models for complex, long-term forecasting challenges using distributed computing frameworks, specifically PySpark on the Databricks platform. The work will directly support strategic decision-making across the automotive value chain, including areas like long-term demand planning, production scheduling, and inventory optimization. The ideal candidate will have hands-on experience developing and deploying ML models for forecasting, particularly long-range predictions, in a production environment using PySpark and Databricks. This role requires strong technical skills in machine learning, big data processing, and time series forecasting, combined with the ability to work effectively within a technical team to deliver robust and scalable long-range forecasting solutions. Roles & Responsibilities: Machine Learning Model Development & Implementation for Long-Range Forecasting: Design, develop, and implement scalable and accurate machine learning models specifically for long-range demand and sales forecasting challenges. Apply advanced time series analysis techniques and integrate them with machine learning models leveraging PySpark for data processing and model training on large datasets within the Databricks environment. Implement probabilistic forecasting methods using PySpark to capture uncertainty in long-range predictions. Develop robust solutions for hierarchical and grouped long-range forecasting on distributed data. Data Processing and Feature Engineering with PySpark: Build and optimize large-scale data pipelines for ingesting, cleaning, transforming, and engineering features relevant to long-range forecasting from diverse, complex automotive datasets using PySpark on Databricks. Deployment and MLOps on Databricks: Develop and implement robust code for model training, inference, and deployment of long-range forecasting models directly within the Databricks platform. Apply MLOps principles compatible with Databricks workflows for model versioning, monitoring, retraining, and managing the lifecycle of long-range ML forecasting models in production. Collaborate with Data Engineering and IT Operations to ensure seamless deployment and operational efficiency of the forecasting application on Databricks. Performance Evaluation & Optimization: Evaluate long-range forecasting model performance using relevant metrics (e.g., MAE, RMSE, MAPE, considering metrics suitable for longer horizons) and optimize models and data processing pipelines for improved accuracy and efficiency within the PySpark/Databricks ecosystem. Technical Collaboration: Work effectively as part of a technical team, collaborating with other data scientists, data engineers, and software developers to integrate ML long-range forecasting solutions into the broader forecasting application built on Databricks. Communicate technical details and forecasting results effectively within the technical team. Requirements Qualifications : Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a closely related quantitative field. Experience: 2 to 5 years of hands-on experience in a Data Scientist or Machine Learning Engineer role. Proven experience developing and deploying machine learning models in a production environment. Demonstrated experience in long-range demand and sales forecasting. Significant hands-on experience with PySpark for large-scale data processing and machine learning. Extensive practical experience working with the Databricks platform, including notebooks, jobs, and ML capabilities. Technical Skills: Optimization (Must): Strong understanding of nonlinear optimization, constrained minimization, and time-series simulation Machine Learning & Forecasting: Strong expertise in building and deploying ML models, especially for long-range demand and sales forecasting. Time Series Analysis: Proficiency in advanced time series techniques, including probabilistic and hierarchical forecasting. Databricks Platform: Skilled in using Databricks for model development, training, and deployment in a production environment. MLOps: Familiarity with model deployment, monitoring, and automation workflows using AWS SageMaker. Domain Knowledge: Experience working with complex datasets, preferably in the automotive or manufacturing sector. Expert proficiency in PySpark. Strong proficiency in Python and SQL. Experience with machine learning libraries compatible with PySpark (e.g., MLlib, or integrating other libraries). Experience with advanced time series forecasting techniques and their implementation. Experience with distributed computing concepts and optimization techniques relevant to PySpark. Hands-on experience with a major cloud provider (Azure, AWS, or GCP) in the context of using Databricks. Familiarity with MLOps concepts and tools used in a Databricks environment. Experience with data visualization tools. Analytical skills with a deep understanding of machine learning algorithms and their application to forecasting. Ability to troubleshoot and solve complex technical problems related to big data and machine learning workflows Preferred Qualifications: Experience with specific long-range forecasting methodologies and libraries used in a distributed environment Experience with real-time or streaming data processing using PySpark for near-term forecasting components that might complement long-range models. Familiarity with automotive data types relevant to long-range forecasting (e.g., economic indicators affecting car sales, long-term market trends). Experience with distributed version control systems (e.g., Git). Knowledge of agile development methodologies Soft Skills : Collaboration: Ability to work effectively as part of a technical team. Communication: Clear and concise communication of technical details and forecasting results. Problem-Solving: Ability to tackle complex technical challenges and find efficient solutions. Learning Agility: Eagerness to learn and adapt to new technologies and methodologies within the PySpark/Databricks ecosystem and advancements in long-range forecasting. Ability to understand business needs related to long-term planning. Signs You May Be a Great Fit Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation. Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility. Growth: Access professional development opportunities, and mentorship from experienced peers. Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.

Automotive Domain – Location: Vadodara Crash Structures Specialist Experience: 5–10 years Tools: ANSA, Metapost, LS-Dyna CAE Durability Engineer Experience: 5–10 years Tools: ANSA, Nastran, Abaqus, Metapost, nCode MBD Specialist Experience: 5–10 years Tools: Adams Off-Highway Domain FEA Engineer – Bangalore Experience: 5–10 years Expertise: Structural linear & nonlinear analysis Tools: ANSYS Workbench FEA Engineer – Vadodara Experience: 5–10 Expertise: Structural linear & nonlinear analysis Tools: Hypermesh, Abaqus FEA Engineer – Pune Experience: 5–10 years Expertise: Structural linear & nonlinear analysis Tools: Hypermesh (preprocessing), ANSYS Classic (solving & post-processing)

DESCRIPTION At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon. Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. NOTE: Amazon works with a high volume of applicants, so we appreciate your patience as we review applications Key job responsibilities Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. Design and code the right solutions starting with broadly defined problems. Work in an agile environment to deliver high-quality software. BASIC QUALIFICATIONS Bachelor's degree or above in computer science, computer engineering, or related field Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. Knowledge of programming languages such as C/C++, Python, Java or Perl PREFERRED QUALIFICATIONS Previous technical internship(s). Experience with distributed, multi-tiered systems, algorithms, and relational databases. Experience in optimization mathematics such as linear programming and nonlinear optimization. Effectively articulate technical challenges and solutions. Adept at handling ambiguous or undefined problems as well as ability to think abstractly. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.