167 Nonlinear Jobs - Page 3

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 Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related field at time of application Familiarity with the syntax of languages such as Java, C/C++ or Python. Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. 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. Company - ADCI - Karnataka Job ID: A2678188

Description Amazon strives to delight customers and make their lives easier. We have an extensive range of opportunities to learn and experiment to grow under the guidance of a pioneer engineering community. Amazon is looking for passionate Systems Development Engineers, who can build innovative and mission critical software applications and tools. You will have enormous opportunity to make a large impact on the design, architecture, and development of consumer products. You will be responsible for delivery and support of large-scale, multi-tiered, distributed software applications and tools in a fast paced agile environment. Job location-By applying to this position your application will be considered for all locations we hire for in India. This includes but is not limited to Bengaluru, Chennai, Hyderabad, Delhi and Pune. Please note that Amazon internships require full-time commitment during the duration of the internship. During the course of internship, interns should not have any conflicts including but not limited to academic projects, classes or other internships/employment. Any exam related details must be shared with the hiring manager to plan for absence during those days. Specific team norms around working hours will be communicated by the hiring/ reporting manager at the time of commencement of internship. Candidates receiving internship will be required to submit declaration of their availability to complete the entire duration of internship duly signed by a competent authority at their University. Internship offer will be subjected to successful submission of the declaration. Key job responsibilities Basic Qualifications Bachelor’s or Master’s Degree in Computer Science/Engineering, or related field at time of application. Syntactical knowledge in Programming or Scripting languages such as Java, C/C++, Python, etc. Knowledge of Computer Science fundamentals such as object-oriented design, Operating systems, Algorithm, design, data structures, and complexity analysis. Excellent problem solving skills. Good communication, both verbal and written. Preferred Qualifications Knowledge with distributed, multi-tiered systems, algorithms, and relational databases. Knowledge 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. Learn fast and adapt quickly to a fast-paced/agile development environment. Basic Qualifications Are enrolled in a Bachelor's degree Preferred Qualifications Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis 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. Company - ADCI HYD 13 SEZ Job ID: A2802215

Description Amazon strives to delight customers and make their lives easier. We have an extensive range of opportunities to learn and experiment to grow under the guidance of a pioneer engineering community. Amazon is looking for passionate Systems Development Engineers, who can build innovative and mission critical software applications and tools. You will have enormous opportunity to make a large impact on the design, architecture, and development of consumer products. You will be responsible for delivery and support of large-scale, multi-tiered, distributed software applications and tools in a fast paced agile environment. Key job responsibilities Basic Qualifications Bachelor’s or Master’s Degree in Computer Science/Engineering, or related field at time of application. Syntactical knowledge in Programming or Scripting languages such as Java, C/C++, Python, etc. Knowledge of Computer Science fundamentals such as object-oriented design, Operating systems, Algorithm, design, data structures, and complexity analysis. Excellent problem solving skills. Good communication, both verbal and written. Preferred Qualifications Knowledge with distributed, multi-tiered systems, algorithms, and relational databases. Knowledge 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. Learn fast and adapt quickly to a fast-paced/agile development environment. Please note that Amazon internships require full-time commitment during the duration of the internship. During the course of internship, interns should not have any conflicts including but not limited to academic projects, classes or other internships/employment. Any exam related details must be shared with the hiring manager to plan for absence during those days. Specific team norms around working hours will be communicated by the hiring/ reporting manager at the time of commencement of internship. Candidates receiving internship will be required to submit declaration of their availability to complete the entire duration of internship duly signed by a competent authority at their University. Internship offer will be subjected to successful submission of the declaration. Basic Qualifications Are enrolled in or have completed a Bachelor's degree within last 12 months Preferred Qualifications Knowledge of at least one modern programming language such as C, C++, Java, or Perl Company - ADCI - Karnataka Job ID: A2736946

Description Amazon strives to delight customers and make their lives easier. We have an extensive range of opportunities to learn and experiment to grow under the guidance of a pioneer engineering community. Amazon is looking for passionate Systems Development Engineers, who can build innovative and mission critical software applications and tools. You will have enormous opportunity to make a large impact on the design, architecture, and development of consumer products. You will be responsible for delivery and support of large-scale, multi-tiered, distributed software applications and tools in a fast paced agile environment. Job location-By applying to this position your application will be considered for all locations we hire for in India. This includes but is not limited to Bengaluru, Chennai, Hyderabad, Delhi and Pune. Please note that Amazon internships require full-time commitment during the duration of the internship. During the course of internship, interns should not have any conflicts including but not limited to academic projects, classes or other internships/employment. Any exam related details must be shared with the hiring manager to plan for absence during those days. Specific team norms around working hours will be communicated by the hiring/ reporting manager at the time of commencement of internship. Candidates receiving internship will be required to submit declaration of their availability to complete the entire duration of internship duly signed by a competent authority at their University. Internship offer will be subjected to successful submission of the declaration. Key job responsibilities Basic Qualifications Bachelor’s or Master’s Degree in Computer Science/Engineering, or related field at time of application. Syntactical knowledge in Programming or Scripting languages such as Java, C/C++, Python, etc. Knowledge of Computer Science fundamentals such as object-oriented design, Operating systems, Algorithm, design, data structures, and complexity analysis. Excellent problem solving skills. Good communication, both verbal and written. Preferred Qualifications Knowledge with distributed, multi-tiered systems, algorithms, and relational databases. Knowledge 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. Learn fast and adapt quickly to a fast-paced/agile development environment. Basic Qualifications Are enrolled in a Bachelor's degree Preferred Qualifications Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis 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. Company - ADCI HYD 13 SEZ Job ID: A2802215

Responsibilities & Key Deliverables (1) Should have good knowledge of Vehicle systems (2) Should have good fundamentals - Strength of materials, Applied mechanics and Finite element methods (3) Should be able to do finite element modelling of Vehicle components and Systems. (4) Should be able to assign thickness and material properties to components (5) Should be able to build finite element assemblies for Vehicle structure. Should have good understanding of different types of connections like spot and seam welding." (6) Should be able to apply loads and Boundary conditions required for linear and nonlinear Static analysis. (7) Should be able to carry out Modal, frequency response and transient analysis for vehicle components and systems." (8)Should be able to do Fatigue life estimation for Vehicle structure, Spot and seam welds. (9) Ability to post process results, make reports and present results to design team. (10) Should be able to recommend design modifications to meet acceptance criteria based on analysis results, manufacturing and packaging constraints. (11) Should have knowledge of different tests for Vehicle systems and test instrumentations. (12) Should be able to correlate CAE results with physical test results. Experience 7 to 10 Years Industry Preferred Qualifications M.Tech/M.E - Machine Design (Preferred from IIT or other good institute) B.E Mechanical (Min First class) General Requirements Job Segment: Engineering Manager, Manufacturing Engineer, Welding, Engineer, Engineering, Manufacturing, Automotive

SUCSHM Lab, IIT Hyderabad invites applications for the position of Research Associate (Postdoctoral Fellow) for a DRDO-funded project on "Modelling and establishment of various process parameters for PCS fibers and modelling of PCS-SiC conversion process". Essential Qualifications: Ph.D. in Solid Mechanics/Applied Mathematics/Applied Mechanics/Mechanical Engineering or related fields with prior experience in continuum mechanics. Those who have submitted their Ph.D. thesis are encouraged to apply. Desirable Qualifications: Candidate should have strong interest in mathematics and continuum mechanics Experience in one-dimensional modeling and simulation using nonlinear theories Fellowship and allowances: Rs. 58,000/- monthly + 27% HRA (if applicable) This position is initially for 11 Months and can be extended based on satisfactory performance and fund availability. Kindly fill the form latest by 17th July 2025: https://forms.gle/3SjE1J4Genk4PQi28

Company Overview At Codvo, software and people transformations go hand-in-hand. We are a global empathyled technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. Required Skills (Technical) Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep learning frameworks like TensorFlow, Theano, Kera’s, Pytorch. Proficiency with modern statistical modelling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies. Building complex predictive models using ML and DL techniques with production quality code and jointly own complex data science workflows with the Data Engineering team. Familiarity with modern data analytics architecture and data engineering technologies (SQL and No-SQL databases). Knowledge of REST APIs and Web Services Experience with Python, R, sh/bash Required Skills (Non-Technical) Fluent in English Communication (Spoken and verbal) Should be a team player Should have a learning aptitude Detail-oriented, analytically. Extremely organized with strong time-management skills Problem Solving & Critical Thinking Skills:- Natural Language Processing (NLP), Computer Vision and recommendation algorithm

Role: Data Scientist Location: India (Remote) About Lingaro: Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data. Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team. About DS/AI Competency Center: Focuses on leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI powered solutions. Utilizes Exploratory Data Analysis, Statistical Modeling and Machine Learning, Model Deployment, and Integration as well as Model Monitoring and Maintenance. Delivers business solutions using multiple AI techniques and tools. Website: https://lingarogroup.com/ Requirements: Must Have: 5+ years of relevant professional experience, including 2+ of DS/Operations Research experience. Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.). Strong Python coding skills (including Object oriented programming concepts), including using ML libraries and basic working knowledge of SQL Experience working in cloud technologies (preferred MS Azure, GCP nice-to-have). Familiarity with theory behind various machine learning concepts Experience in CRISP-DM projects delivery and with Agile project (like Scrum, Kanban). Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment. Experience in working with client-facing role. Able to apply independent research, gather information, and give recommendation how to solve problems of diverse scope. Great communication skills. Nice to have: Other programming languages knowledge e.g., SQL, R Experience working in Spark (PySpark) Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomed Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability) Strong statistical/mathematical background Experience in working in matrix organization Tasks: Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodologies. Understanding of optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the business problem. Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks, Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements) Creation and following of standards to improve competency quality. Know-how and experience from projects in Supply Chain area, or optimization projects is a plus Why join us: Stable employment. On the market since 2008, 2000+ talents currently on board in 7+ global sites. 100% remote. Flexibility regarding working hours. Full-time position Comprehensive online onboarding program with a “Buddy” from day 1. Cooperation with top-tier engineers and experts. Unlimited access to the Udemy learning platform from day 1. Certificate training programs. Lingarians earn 500+ technology certificates yearly. Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. Grow as we grow as a company. 76% of our managers are internal promotions. A diverse, inclusive, and values-driven community. Autonomy to choose the way you work. We trust your ideas. Create our community together. Refer your friends to receive bonuses. Activities to support your well-being and health. Plenty of opportunities to donate to charities and support the environment. Please click on this website to submit your application: https://system.erecruiter.pl/FormTemplates/RecruitmentForm.aspx?WebID=58b86d44db3b4c5993eab2801d9d9a01

ADIE – Data Science Location : Chennai, India Required Language : English Employment Type : Full Time Seniority Level : Associate Travel : 10 % Buckman is a privately held, global specialty chemical company with headquarters in Memphis, TN, USA, committed to safeguarding the environment, maintaining safety in the workplace, and promoting sustainable development. Buckman works proactively and collaboratively with its worldwide customers in pulp and paper, leather, and water treatment to deliver exceptional service and innovative specialty chemical solutions to help boost productivity, reduce risk, improve product quality, and provide a measurable return on investment. Buckman is in the middle of a digital transformation of its businesses and focused on building the capabilities and tools in support of this. Job Description We are looking for experienced data science professionals to be part of the data science program. You will work closely with Buckman stakeholders to derive deep industry knowledge across leather, paper, water, and performance chemical industries. You will help develop a data strategy for the company including collection of the right data, creation of the data science project portfolio, partnering with external providers and augmenting capabilities with additional internal hires. A large part of the job is communicating and developing relationship with key stakeholders and subject matter experts to tee up proofs of concept projects to demonstrate how data science can be used to solve problems in unique and novel ways. In addition to the pure data science problems, you will be working closely with a multi-disciplinary team consisting of sensor scientists, software engineers, network engineers, mechanical/electrical engineers, and chemical engineers in the development, and deployment of IoT solutions. If you like working for an entrepreneurial company with a Sustainability mission and Digital ambitions at the core of its strategy, Buckman is the place for you. Basic Qualifications Bachelor’s or Master’s degree in Data Science/Data Analytics, Applied Mathematics, Statistics, Computer Science or related science and technical field. Experience in developing predictive and deep data analytics solutions and optimization scenarios involving expertise in data extraction, analysis, and visualization in the following areas: Hands-on work experience with open-source data analytics toolsets such as R, Python, etc. Proficiency with modern statistical modeling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies. Exposure to data analytics and visualization platforms such as SAS, Rapidminer, MATLAB, Minitab, PowerBI, KNIME, PowerApps, etc. Experience in cloud computing (Azure, AWS, etc.), data analytics architecture (Azure Machine Learning, Datalake analytics, Workbench, Stream Analytics, etc.) and data engineering technologies (Datalake, CosmosDB, Hadoop, SQL and No-SQL databases, etc.). A demonstrated record of success with a verifiable portfolio of data science problems tackled in different domains. Strong communications skills in English and ability to work with global stakeholders effectively. Preferred qualifications Experience in the specialty chemicals sector or similar industry An aptitude to learn new digital tools and technologies. Knowledge in quantitative modeling tools and statistical analysis. Background and exposure to Internet of Things applications, Software. Personality Traits Pleasant personality and collaborates easily with others. Aims high and brings a sense of urgency and ownership to all tasks. A life-long learner who constantly updates skills through online learning and other means. A strong business focus, ownership and inner self-drive to solve real-world impactful problems with innovative digital solutions. Ability to collaborate effectively with multi-disciplinary and passionate team members. #LI-SS1

Job Description For MMM Role Management Level : Ind&Func AI Decision Science Consultant Location : Gurgaon, Bangalore Must-Have Skills Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods: SVM, Decision Trees, Programming Languages & Tools: Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP) Good-to-Have Skills Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis). Job Summary We are seeking a skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice . This role is focused on Market Mix Modeling (MMM) , where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. You will work with leading financial clients, leveraging cutting-edge technology to drive business impact and innovation. Roles & Responsibilities Engagement Execution Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions. Apply advanced statistical techniques and machine learning models to improve marketing effectiveness. Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies. Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases. Practice Enablement Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics. Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and development of new methodologies. Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events. Opportunity Development Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients. Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs. Client Relationship Development Build and maintain strong, trusted relationships with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance. Professional & Technical Skills 3+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques. Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing. Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib. Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake. Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing data pipelines and deploying scalable machine learning architectures. Additional Information Master’s degree in Statistics, Econometrics, Economics, or related fields from reputed universities. Ph.D. or M.Tech is a plus. Excellent communication and interpersonal skills to effectively collaborate with global teams and clients. Willingness to travel up to 40% of the time. Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights. About Our Company | Accenture

Description ADIE – Data Science Location : Chennai, India Required Language : English Employment Type : Full Time Seniority Level : Associate Travel : 10 % Buckman is a privately held, global specialty chemical company with headquarters in Memphis, TN, USA, committed to safeguarding the environment, maintaining safety in the workplace, and promoting sustainable development. Buckman works proactively and collaboratively with its worldwide customers in pulp and paper, leather, and water treatment to deliver exceptional service and innovative specialty chemical solutions to help boost productivity, reduce risk, improve product quality, and provide a measurable return on investment. Buckman is in the middle of a digital transformation of its businesses and focused on building the capabilities and tools in support of this. Job Description We are looking for experienced data science professionals to be part of the data science program. You will work closely with Buckman stakeholders to derive deep industry knowledge across leather, paper, water, and performance chemical industries. You will help develop a data strategy for the company including collection of the right data, creation of the data science project portfolio, partnering with external providers and augmenting capabilities with additional internal hires. A large part of the job is communicating and developing relationship with key stakeholders and subject matter experts to tee up proofs of concept projects to demonstrate how data science can be used to solve problems in unique and novel ways. In addition to the pure data science problems, you will be working closely with a multi-disciplinary team consisting of sensor scientists, software engineers, network engineers, mechanical/electrical engineers, and chemical engineers in the development, and deployment of IoT solutions. If you like working for an entrepreneurial company with a Sustainability mission and Digital ambitions at the core of its strategy, Buckman is the place for you. Basic Qualifications Bachelor’s or Master’s degree in Data Science/Data Analytics, Applied Mathematics, Statistics, Computer Science or related science and technical field. Experience in developing predictive and deep data analytics solutions and optimization scenarios involving expertise in data extraction, analysis, and visualization in the following areas: Hands-on work experience with open-source data analytics toolsets such as R, Python, etc. Proficiency with modern statistical modeling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies. Exposure to data analytics and visualization platforms such as SAS, Rapidminer, MATLAB, Minitab, PowerBI, KNIME, PowerApps, etc. Experience in cloud computing (Azure, AWS, etc.), data analytics architecture (Azure Machine Learning, Datalake analytics, Workbench, Stream Analytics, etc.) and data engineering technologies (Datalake, CosmosDB, Hadoop, SQL and No-SQL databases, etc.). A demonstrated record of success with a verifiable portfolio of data science problems tackled in different domains. Strong communications skills in English and ability to work with global stakeholders effectively. Preferred Qualifications Experience in the specialty chemicals sector or similar industry An aptitude to learn new digital tools and technologies. Knowledge in quantitative modeling tools and statistical analysis. Background and exposure to Internet of Things applications, Software. Personality Traits Pleasant personality and collaborates easily with others. Aims high and brings a sense of urgency and ownership to all tasks. A life-long learner who constantly updates skills through online learning and other means. A strong business focus, ownership and inner self-drive to solve real-world impactful problems with innovative digital solutions. Ability to collaborate effectively with multi-disciplinary and passionate team members.

Objectives: Positions within Global Consumer Risk Management of Citi for Non Regulatory Decisions models model performance monitoring, forecast reporting and analytics for Unsecured portfolios. Core Responsibilities: This position within Global Consumer Banking will focus on model performance Monitoring, Analytics & Insights for Non-Regulatory Decision Models for Unsecured products (e.g., Credit Cards). The responsibility includes but not limited to the following activities: Perform Root Cause Analysis explaining model performance to second line of defense and Policy teams for Business risk decisioning. Analyze & bring out Insights for Credit Risk Non-Regulatory Scoring/ Non-Scoring Segmentation models. This would include performance assessment, drill down root cause analysis for performance deterioration, coming up with mitigation action providing rational for continued usage of the model without business impact. Present model performance to senior stakeholders, CROs, Risk Policy managers, Sponsors explaining the heath of the model, connecting model metrices to business scenarios explaining the breach in model performance; understanding the incremental benefit the models bring to Risk strategies. Defend model performance to second line (Model Risk Management) of defense providing rational of model performance deterioration (if any), explaining the applicability of the usage of the model. Respond to queries from 3rd Line of Defense (Internal and External Auditors) on model performance. Work effectively across cross functional teams - Development, Implementation, Policy, Validation and Governance teams - coordinating the horizontal model usage and maintenance activities. Perform analysis for benchmark models and other adhoc analysis as required by business/validation teams. Develop knowledge and drive discussions on Model usage across channels, score range with Risk Strategy managers. Conduct QA/QC on all steps (e.g., input data, model output, etc.) required for model monitoring and production forecast reporting. Deliver comprehensive write-up of ongoing model performance assessment, Annual Model Review / Revalidation documents. Understand model variables and economic forecasts and conduct drill down analysis and reporting of model performances. Deliver end user computing process related mandates. Expected to manage own projects independently. Train and mentor junior team members on Model Monitoring, generating insights from different analysis required by business. Individual Contributor Education: Advanced Degree (Bachelors required or Masters preferred) in Statistics, Computer Science, Operations Research, Economics, etc. MBA s should apply only if they are interested in career in specialized quantitative risk management discipline. Skillset Strong programming (SAS, R, Python, etc.) skills. Experience in reporting tools - Excel, Tableau, Cognos Understanding of traditional modeling processes (linear/ logistic regression, segmentation, decision tree) and machine learning algorithms (Random Forest, Gradient Boosting, XG Boost, SVM, etc.), time series, linear/nonlinear optimization. Understanding of relevant model metrics / KPIs & bring out insights on model performance tracking. Good communication skill to communicate technical information verbally and in writing to both technical and non-technical audiences is a must. Extensive experience in model monitoring/validation, performance scorecards, etc. in Excel, Tableau, Cognos, etc. Experience in developing optimal/ automated solution of reporting processes using SAS, Excel VBA, Tableau will be a plus. Experience 2-5 YEARS reporting & analytics experience. At least 2 years of extensive experience in reporting (risk/marketing) in portfolio reporting, model monitoring, generating business insights. ------------------------------------------------------ Job Family Group: Risk Management ------------------------------------------------------ Job Family: Risk Analytics, Modeling, and Validation ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Location : Hyderabad - Bangalore Client Site (Onsite) Experience : 4–10 years Notice : 15 to 30 day only Employment : Full-Time, Payroll (Kaizenat Technologies Pvt. Ltd.) Key Responsibilities : Conduct advanced FEA simulations including static, nonlinear, modal, harmonic, fatigue, thermal, and durability analysis. Analyze and optimize composite structures for aerospace and UAV applications. Collaborate with design, R&D, and test teams to interpret requirements, simulate real-world scenarios, and validate results. Recommend design improvements and mitigate failure risks based on simulation insights. Prepare and present detailed CAE reports to cross-functional stakeholders. Skills & Qualifications : B.E./M.E. in Mechanical or Aerospace Engineering. 4–10 years of hands-on experience in FEA and structural analysis. Proficient in any ANSYS tools like ANSYS Mechanical , ANSYS Workbench , Ansys Fluent and Ansys Composite Prep Post (ACP) ; Expertise in composite materials, solid mechanics, and structural behavior under various load conditions. Strong communication and problem-solving skills; ability to perform DOE and optimization.

Requisition Number: 69455 The company built on breakthroughs. Join us. Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible. How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward. At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more. Come break through with us. Required Job Profile Corning Research Center India is seeking a technically exceptional and innovative Senior Scientist to join the team in Pune, India. The ideal candidate will apply engineering knowledge, advanced numerical methods, and computational modeling techniques to solve challenging problems related to product performance and manufacturing processes across Corning’s diverse portfolio of materials and technologies. We are looking for a creative, out-of-the-box thinker who can work independently and collaborate effectively with global, multidisciplinary teams to deliver high-impact, innovative, and life-changing solutions. This role requires expertise in solid mechanics, Finite Element Analysis (FEA), and modeling techniques, as well as strong programming skills. Key Responsibilities Develop, validate, and apply numerical models to solve problems related to dynamic impact, nonlinear FEA, fracture mechanics, and applied mechanics. Collaborate with cross-functional teams, including experimentalists, researchers, scientists, and project leaders located globally, to address research and development challenges. Create models using appropriate numerical methods and software and expand modeling capabilities as required. Translate real-world problems into solvable modeling objectives and provide actionable insights. Communicate and present project updates to stakeholders across global locations. Document results and findings via internal reports and external publications. Stay at technological forefront in modeling, simulation, and applied mechanics. Required Skills Strong background in solid mechanics and Finite Element Analysis (FEA) with a deep understanding of solid mechanics concepts and theory. Hands-on experience with commercial FEA software, including (but not limited to) ABAQUS, LS-DYNA, ANSYS Mechanical, MATLAB, and Tecplot. Expertise in modeling dynamic impact problems, material nonlinearities, and fracture mechanics. Proficiency in programming languages such as C/C++, Unix, Shell, and Python. Strong analytical, diagnostic, and problem-solving skills. Ability to break down complex real-world problems into solvable modeling objectives. Versatility in adapting to various technology areas; a balanced combination of technical depth and breadth. Self-motivated with a long-term interest in technical growth. Desired Skills Experience with open-source FEA software frameworks, such as MOOSE or FEniCS, is ana dded advantage Exposure to Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics techniques particularly as applied to modeling, simulation, or materials science. Familiarity with statistical methods, machine learning frameworks (e.g., TensorFlow, PyTorch), or data visualization tools. Experience working in an industrial R&D environment. Knowledge of data-driven modeling, optimization, or predictive analytics. Flexibility to thrive in a dynamic work environment and adapt to changing priorities. Ability to integrate physics-based models with data-driven approaches to enhance predictive capabilities. Soft Skills Highly collaborative and capable of fostering open engagement with colleagues to achieve project goals. Strong technical curiosity with a desire to continually learn and grow in diverse technology areas. Ability to translate complex technical concepts into simplified explanations for broader audiences. Self-driven with a proven ability to manage independent workstreams. Effective communication skills for remote collaboration with global teams via phone and video calls. Education And Experience PhD, Master’s, or Dual Degree in Mechanical Engineering, Civil Engineering or Materials Science with an emphasis on solid mechanics and Finite Element Analysis from IITs, IISc, or reputed foreign universities Candidates with more than 4 years of relevant work experience post-Masters/Dual Degree or more than 2 year of experience post-PhD are welcome to apply. Travel Occasional travel to global locations to collaborate with colleagues in research, development, engineering, and manufacturing teams. Work Flexibility Option to work-from-home up to 2 days per week.

A Ph.D., master’s degree in operations research, Industrial Engineering, Statistics, Applied Mathematics, Computer Science or a related field and at least 2 – 8 years of work experience in applying advanced optimization/statistics techniques in engineering and manufacturing domain. Hands on experience in Operations Research/ Optimization LP, Integer programming, Mixed Integer Programming, Decomposition Algorithms, Simulated Annealing, Genetic Algorithm, Hybrid SA & GA, Tabu search, Discrete event Simulation, Ant colony optimization, Markov decision processes. Experience with CPLEX, Gurobi, Data Visualization tools. Strong background in modeling large scale discrete, nonlinear, or stochastic mathematical optimization models and developing efficient optimization algorithms. Experience in collaborating for strategic Optimization/OR roadmaps to advance business capabilities Develop and operate solutions that optimize and automate business decisions using large data sets and algorithms Exceptional problem-solving skills. Passion for translating data into action and business insights, and keen to learn and develop new methods/technologies. Understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization Proficient in one or more of the following programming languages: C++, Python, R. Ability to communicate technical information to a non-technical audience.

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. Company - ADCI - Karnataka Job ID: A3015604

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. Company - ADCI - Karnataka Job ID: A3015604

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. Company - ADCI - Karnataka Job ID: A3015604

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. Company - ADCI - Karnataka Job ID: A3015604

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. Company - ADCI - Karnataka Job ID: A3015604

- Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related field at time of application - Familiarity with the syntax of languages such as Java, C/C++ or Python. - Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis 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 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. 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. 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 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. 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 Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related field at time of application Familiarity with the syntax of languages such as Java, C/C++ or Python. Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis 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. Company - ADCI - Karnataka Job ID: A2995989

WE ARE HIRING - Experienced Title: Aerospace R&D Engineer – Propulsion, Aerodynamics, CFD, Avionics & Structures (Multidisciplinary Role) Location: Chennai Company: Dr. MGR. Educational and Research Institute (ARI- IOT) Type: Full-time | On-site Aerospace Engineers · Design of propulsion systems, aerodynamics, flight mechanics. · Specialized in launch vehicle structure and dynamics. Propulsion Engineers · Develop engines (solid, liquid, hybrid). · Handle combustion physics, fuel systems, and thrust control. Mechanical Engineers · Structural integrity, material selection, thermal systems. · Integration of moving parts and mechanical assemblies. Job Description Sample (Condensed Multi-role): We are seeking a passionate and multidisciplinary Aerospace Engineer to join our early-stage rocketry team. The ideal candidate will have experience in: Designing propulsion systems (solid/liquid) Aerodynamic modelling and flight dynamics Structural and thermal analysis Nozzle design and CFD simulation Material selection for high-temperature/high-stress environments Design and integration of avionics subsystems (telemetry, GPS, INS, embedded systems) Preferred Qualifications: M. Tech, & Ph.D. in Aerospace, Mechanical, Avionics, or related fields Experience with Ansys, MATLAB/Simulink, Open Rocket, SolidWorks, or similar tools Hands-on experience with small rocket systems, engines, UAVs, or embedded platforms 🔬 Advanced Skills ( M.Tech / Ph.D. Candidates): Advanced thermo-fluid simulations (e.g., reacting flows, multiphase flows in propulsion) Proficiency in high-fidelity FEA and CFD tools : Fluent, CFX, Abaqus, LS-DYNA, STAR-CCM+ In-depth understanding of aeroelasticity, flutter, and structural dynamics Research experience or publications in propulsion, avionics, or launch vehicle design Development of custom Python/Matlab scripts for simulation automation and data analysis Experience in model-based design and digital twin technologies Deep familiarity with nonlinear materials , composite modeling , or thermal barrier coatings Ability to mentor junior engineers, contribute to technical documentation, and lead technical proposals Prior involvement in national-level research projects, ISRO/DRDO collaborations , or academic labs is a plus Salary Details: 2 years experience : ₹25,000–₹30,000/month (Negotiable for exceptional candidates) 4 years experience : ₹40,000/month (Negotiable for exceptional candidates & Based on previous salary) Apply Below link https://docs.google.com/forms/d/e/1FAIpQLSe_lM-MS5L6RcgkG1Q01zhGUtFHRC2hVtF9zhZ4fiRPatPMxw/viewform?usp=header

Chennai, Tamil Nadu Work Type: Full Time Job Description: The ePlane Company is seeking a full-time Instrumentation Engineer (Testing and Support) to join our team based in Chennai. As an Instrumentation Engineer (T&S), you will work with a range of equipment such as sensors, gauges, meters, data acquisition systems etc. to ensure accurate measurement and control of desired processes especially in the aviation domain. You shall be responsible for selecting appropriate instruments as per the need, ensuring calibration, their installation on various parts of the aircraft as per the requirement and milking out the data for storage and analysis. You shall also suggest and implement online monitoring wherever possible. You shall provide technical guidance and support to other departments especially the structures, avionics, propulsion and flight mechanics) in finalizing their instrumentation needs. You should have the passion for accuracy and repeatability in your approach with safety embedded in it. Overall, your role is crucial in ensuring that the instrumentation goals are met as per the design and industrial standards. Experienced personnel can be considered for higher working positions. Tech Skills Required: Basic understanding of aircraft systems and their working principles. Expertise in signal conditioning, data integrity, EMI/EMCand telemetry. System integration and automation Working experience in MATLAB/SIMULINK, LabView and python-based toolsets. Experience working with digital as well as analog systems Knowledge of codes, standards, and regulations related to instrumentation and control systems, such as ISA, IEC, and NEC Fundamental understanding of linear and nonlinear systems Strong oral and written communication skills to work with both technical, non-technical personnel and the vendors Excellent analytical and problem-solving skills Preferred Qualification & Experience: Bachelor's Degree in Instrumentation/ Electrical Engineering or related field and 2+ years of experience in relevant domain Or Master's Degree in Instrumentation/ Electrical Engineering or related field and 1+ years of experience in relevant domain Location: Chennai

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 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. 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 Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related field at time of application Familiarity with the syntax of languages such as Java, C/C++ or Python. Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. 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. Company - ADCI - Karnataka Job ID: A2995991