3036 Matlab Jobs - Page 27

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Design and simulate novel superconducting-qubit circuits that will power India’s most powerful production quantum computer. Apply deep RF / microwave theory to optimise resonance, coupling and loss in on-chip cavities and interconnects. Drive multi-physics modelling in HFSS, Sonnet, COMSOL and ADS, validating results with cryogenic measurements. Collaborate with fabrication, control-electronics and theory teams to iterate processor architecture and tape-out flows. Analyse qubit-level metrics, author concise DoE reports and present design recommendations to leadership. Champion best practices in simulation automation, version control and peer design reviews within an agile R&D setup. Skills & Qualifications Must-Have Master’s or PhD in Physics, Electronics or Communication Engineering plus 2 + years’ experience designing superconducting qubits. Proven expertise in qubit-level circuit design, RF/microwave theory and superconducting-device analysis. Hands-on with HFSS, Sonnet, COMSOL and ADS for 3-D EM and multi-tone simulations. Familiarity with Linux environments and scripting (TCL / Python) to automate simulation and data-processing pipelines. Strong problem-solving and communication skills; thrive in cross-functional hardware teams. Team-player mentality with a bias for rapid experimentation and data-driven design iteration. Preferred Experience in RF or mixed-signal PCB design for cryogenic or microwave subsystems. Prior work characterising or simulating Josephson-junction devices and qubit coherence limits. Ability to interpret RF component datasheets and translate specs into layout constraints. Familiarity with yield-optimisation techniques and SPC dashboards for nanofabrication flows. Publications or patents in quantum-hardware design or superconducting circuits. Contributions to open-source EM simulation or quantum-design toolchains. Skills: numerical tool-chains,comsol,problem-solving,coherence times measurement,statistical process control,cleanroom safety,superconducting-qubit error-correction schemes,gate fidelity measurement,ldpc codes,numerical methods,quantum-software stacks,circuit design,peer-reviewed publications,semiconductor,experimental protocols,data processing in matlab,matlab,dry etching,collaboration,quantum computing,data-driven design,automated data acquisition,quantum-state & process tomography,afm,qubit-control schemes,dynamical decoupling,artificial intelligence,optical lithography,python-based quantum platforms,quantum error-correction codes,hfss,thin-film deposition,rf/microwave theory,process-automation scripts,quantum device characterization,sem,wet etching,cryogenic fixture design,communication,quantum-process tomography,computational modelling of quantum circuits,superconducting qubit design,error-correction concepts,tcl,circuit qed,linux,hamiltonian engineering,teamwork,sonnet,team collaboration,quantum hardware,ads,error-mitigation techniques,fault-tolerant architectures,python,quantum-state tomography,e-beam lithography,data processing in python,surface codes,xrd

What We Offer At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are. Group Summary Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That’s what we’re passionate about at Magna Powertrain, and we do it by creating world-class powertrain systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex powertrain systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Powertrain. Job Responsibilities Job title: Power Electronics Control Engineer Job Introduction We are seeking a highly skilled Motor Control Engineer with expertise in the development, implementation, and optimization of senseless control algorithms for AC motors. The ideal candidate will have a deep understanding of motor control theory, electrical drives, power electronics, and experience with various types of AC motors such as induction motors, permanent magnet synchronous motors (PMSMs), and brushless DC motors (BLDCs). Major Responsibilities Design, develop, and implement sensor less control algorithms for AC motors (PMSM and Induction motors) in embedded systems. Optimize motor performance and efficiency through advanced control techniques (e.g., Field-Oriented Control (FOC), Direct Torque Control (DTC), etc.). Simulate, test, and validate control algorithms in MATLAB/Simulink, and hardware-in-the-loop (HIL) environments. Integrate sensorless control systems into real-time embedded systems for automotive applications. Collaborate with cross-functional teams (power electronics, hardware design, firmware, and testing) to achieve project objectives. Troubleshoot and resolve performance issues related to motor control systems. Develop technical documentation, including requirements specifications, algorithm designs, and validation reports. Stay updated on the latest industry trends, tools, and technologies related to motor control and power electronics. Should have good understanding of fundamentals of analog and digital electronics circuit design. Experience in using basic test equipment like Oscilloscopes, Power meters, electronic loads etc. Close cooperation with the electronics, design, HW test team Manages communication and alignment with all affected stakeholders Knowledge And Education PhD or Master’s degree in Power Electronics or Control Systems, or a related field. Work Experience 5+ years of experience in motor control design with a focus on sensor less control algorithms for AC motors. Skills And Competencies Proficiency in motor control theory, especially for AC motors (Induction motors and PMSM). Strong expertise in motor control techniques such as model-based estimators, sliding mode observers. Solid understanding of Field-Oriented Control (FOC) and Direct Torque Control (DTC) methods. Proficient in MATLAB/Simulink for modelling and simulation. Hands-on experience with power electronics, including inverters and converters for motor drives. Strong problem-solving skills and ability to work independently or in a team. Experience in the automotive sector desirable Conscientious, precise and independent way of working Very good written and spoken English skills Awareness, Unity, Empowerment At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law. Worker Type Regular / Permanent Group Magna Powertrain

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Design and execute quantum-device experiments—from cryogenic fixture design to automated data acquisition—for superconducting-qubit characterisation. Develop and refine protocols to measure coherence times, gate fidelities, and perform quantum-state / process tomography, feeding results back into device design. Maintain, troubleshoot and optimise cryogenic measurement stacks and microwave-RF chains to guarantee low-noise, high-throughput data collection. Implement data pipelines in Python / MATLAB that process raw traces into actionable metrics and dashboards for cross-functional teams. Collaborate with quantum-processor, control-electronics and theory groups to correlate empirical results with simulations and accelerate design-of-experiments cycles. Document methodologies, publish findings and help shape the roadmap for next-generation, fault-tolerant quantum processors. Skills & Qualifications Must-Have MSc / MTech / PhD in Physics, Electrical Engineering, Materials Science or related field with quantum focus. Hands-on experience designing cryogenic or microwave testbeds and performing quantum measurements on superconducting qubits or similar platforms. Proven ability to measure and analyse device parameters (T₁/T₂, gate fidelity, tomography). Solid understanding of circuit QED and error-correction concepts relevant to superconducting hardware. Proficiency in Python (NumPy/Pandas/Matplotlib) or MATLAB for data analysis and instrument control. Strong problem-solving, communication and teamwork skills; comfortable in fast-paced R&D settings. Preferred Track record of peer-reviewed publications or conference presentations in quantum technology. Experience writing DoE-driven analysis reports that steer experimentation plans. Familiarity with cold-atom or spin-qubit platforms, autonomous calibration routines, or GPU-accelerated simulators. Knowledge of error-mitigation / bosonic-code techniques and their experimental implementation. Exposure to clean-room fabrication workflows and materials studies for superconducting devices. Contributions to open-source quantum-measurement tooling or instrument-control libraries. Skills: hamiltonian engineering,coherence times measurement,quantum-state tomography,ldpc codes,surface codes,gate fidelity measurement,python-based quantum platforms,circuit qed,automated data acquisition,numerical tool-chains,fault-tolerant architectures,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,data processing in matlab,quantum device characterization,problem-solving,experimental protocols,matlab,error-mitigation techniques,quantum-software stacks,cryogenic fixture design,collaboration,quantum computing,artificial intelligence,data processing in python,quantum error-correction codes,quantum-process tomography,teamwork,python,error-correction concepts,quantum-state & process tomography,communication,qubit-control schemes,semiconductor,peer-reviewed publications,dynamical decoupling,numerical methods

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Fabricate superconducting-qubit devices on silicon wafers using optical & e-beam lithography, thin-film deposition (sputtering / evaporation) and dry / wet etching, driving first-pass yield improvements. Perform room-temperature & cryogenic characterisation (SEM, AFM, XRD, conductivity) and translate findings into rapid process tweaks. Develop and execute design-of-experiments (DoE) and test plans that boost parameter reproducibility across lots. Maintain best-in-class cleanroom safety & chemical-handling protocols, ensuring operational uptime and compliance. Analyse data in Python / MATLAB, author concise reports and collaborate with processor, theory and cryo-control teams to iterate device architecture. Champion a culture of continuous improvement, peer reviews and knowledge-sharing within the quantum-hardware programme. Skills & Qualifications Must-Have MSc/MTech/PhD in Electronics, Micro-/Nano-electronics, Materials Science or similar, plus 1–3 years’ cleanroom experience developing silicon-based devices. Hands-on expertise with optical / EBL lithography, thin-film deposition, wet & dry etching and related metrology tools (SEM, AFM, XRD). Familiarity with dielectric deposition processes (PECVD, oxidation, LPCVD). Solid grasp of cleanroom chemical safety, defect prevention and statistical process control. Proven ability to draft DoE-based analysis reports and work cross-functionally to refine fabrication flows. Excellent problem-solving, communication and teamwork skills; thrive in a fast-paced R&D setting. Preferred Experience fabricating or characterising Josephson-junction devices for superconducting qubits. Knowledge of cryogenic measurement techniques and qubit-level performance metrics (T₁/T₂, gate fidelity). Exposure to process-automation scripts, yield dashboards or GPU-accelerated simulators for device modelling. Publications or patents in quantum-hardware fabrication / characterisation, or contributions to open-source nanofab tooling. Familiarity with ISO14644 cleanroom standards and SPC software (e.g., JMP, Minitab) for data-driven process control. Skills: dry etching,optical lithography,qubit-control schemes,gate fidelity measurement,data processing in matlab,quantum-state & process tomography,e-beam lithography,numerical tool-chains,ldpc codes,quantum-state tomography,afm,automated data acquisition,surface codes,matlab,hamiltonian engineering,teamwork,communication,quantum device characterization,quantum error-correction codes,thin-film deposition,coherence times measurement,data processing in python,circuit qed,quantum-software stacks,collaboration,superconducting-qubit error-correction schemes,dynamical decoupling,cleanroom safety,error-correction concepts,xrd,process-automation scripts,peer-reviewed publications,error-mitigation techniques,sem,python-based quantum platforms,wet etching,quantum-process tomography,semiconductor,artificial intelligence,experimental protocols,statistical process control,cryogenic fixture design,fault-tolerant architectures,python,computational modelling of quantum circuits,quantum computing,problem-solving,numerical methods

About The Company (Industry & Sector) An advanced-technology scale-up at the crossroads of Quantum Computing, Artificial Intelligence and Semiconductor Engineering . The hardware division designs full-stack enterprise quantum computers—spanning superconducting processors, cryogenic control electronics and RF instrumentation—to unlock breakthroughs across life-sciences, finance, transportation and space. Role & Responsibilities Design and execute quantum-device experiments—from cryogenic fixture design to automated data acquisition—for superconducting-qubit characterisation. Develop and refine protocols to measure coherence times, gate fidelities, and perform quantum-state / process tomography, feeding results back into device design. Maintain, troubleshoot and optimise cryogenic measurement stacks and microwave-RF chains to guarantee low-noise, high-throughput data collection. Implement data pipelines in Python / MATLAB that process raw traces into actionable metrics and dashboards for cross-functional teams. Collaborate with quantum-processor, control-electronics and theory groups to correlate empirical results with simulations and accelerate design-of-experiments cycles. Document methodologies, publish findings and help shape the roadmap for next-generation, fault-tolerant quantum processors. Skills & Qualifications Must-Have MSc / MTech / PhD in Physics, Electrical Engineering, Materials Science or related field with quantum focus. Hands-on experience designing cryogenic or microwave testbeds and performing quantum measurements on superconducting qubits or similar platforms. Proven ability to measure and analyse device parameters (T₁/T₂, gate fidelity, tomography). Solid understanding of circuit QED and error-correction concepts relevant to superconducting hardware. Proficiency in Python (NumPy/Pandas/Matplotlib) or MATLAB for data analysis and instrument control. Strong problem-solving, communication and teamwork skills; comfortable in fast-paced R&D settings. Preferred Track record of peer-reviewed publications or conference presentations in quantum technology. Experience writing DoE-driven analysis reports that steer experimentation plans. Familiarity with cold-atom or spin-qubit platforms, autonomous calibration routines, or GPU-accelerated simulators. Knowledge of error-mitigation / bosonic-code techniques and their experimental implementation. Exposure to clean-room fabrication workflows and materials studies for superconducting devices. Contributions to open-source quantum-measurement tooling or instrument-control libraries. Skills: hamiltonian engineering,coherence times measurement,quantum-state tomography,ldpc codes,surface codes,gate fidelity measurement,python-based quantum platforms,circuit qed,automated data acquisition,numerical tool-chains,fault-tolerant architectures,superconducting-qubit error-correction schemes,computational modelling of quantum circuits,data processing in matlab,quantum device characterization,problem-solving,experimental protocols,matlab,error-mitigation techniques,quantum-software stacks,cryogenic fixture design,collaboration,quantum computing,artificial intelligence,data processing in python,quantum error-correction codes,quantum-process tomography,teamwork,python,error-correction concepts,quantum-state & process tomography,communication,qubit-control schemes,semiconductor,peer-reviewed publications,dynamical decoupling,numerical methods

Company RNTBCI PL Job Description To support Braking system ECU development activity as per project milestones taking cost and quality into consideration. To check and study VDC ECU of CAN planning architecture / Circuit check /switch and indicator/ Electrical performance Spec. for conventional and ADAS feature vehicle ECU details and its change content. Vehicle ABS VDC -ECU Knowledge / Infotainment and CAN related software (CANALYZER, CANAPE) Bench test experience will be added advantage. Matlab Simulation Job Family Research & Development Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves. We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form. By submitting your CV or application, you authorise Renault Group to use and store information about you for the purposes of following up your application or future employment. This information will only be used by Renault Group companies as described in the Group Privacy Policy .

Looking for the candidates with Strong engineering back ground in power system analysis who can perform data analysis related to bulk transmission distributed generation supporting studies on solar wind,storage plants ,renewable grid integration

We are looking for a detail-oriented and analytical Data Analyst to support our organization’s data-driven decision-making process. The ideal candidate will be responsible for collecting, processing, analyzing, and visualizing data to help drive operational efficiency and quality improvements across divisions. You will play a key role in ensuring the accuracy, consistency, and availability of data used for strategic planning and performance tracking. Key Responsibilities: Collect, clean, and validate data from primary and secondary sources ensuring high standards of data accuracy and integrity. Extract and transform data using Python, SQL, and MATLAB for analysis and reporting purposes. Analyze large data sets to identify patterns, trends, and insights that support business strategies and quality improvement initiatives. Develop and maintain dashboards, reports, and management information systems (MIS) using tools like MS Excel, Power BI, or Tableau. Prepare timely and accurate reports on performance metrics, including visualizations and executive summaries. Assist in the design, development, and management of data systems and databases. Coordinate with cross-functional teams to understand data needs and provide analytical support. Support all divisional quality teams in data standardization and reporting consistency. Identify data quality issues and implement continual improvement initiatives to enhance data reliability and usability. Communicate findings and recommendations clearly through reports and presentations to stakeholders. Contribute to the development of a "Way Forward Matrix" by interpreting analytical results in line with organizational goals. Required Skills & Qualifications: Graduate in Data Science, Data Mining, Computer Science, Statistics, or a related field. 1–5 years of experience in data analysis, reporting, or business intelligence roles. Strong proficiency in Microsoft Excel (pivot tables, formulas, charts). Working knowledge of Python , SQL , and MATLAB for data manipulation and automation. Understanding of database concepts and hands-on experience with data querying. Excellent analytical and problem-solving skills. Strong written and verbal communication skills with the ability to explain complex data in a clear and concise manner. Detail-oriented with a focus on accuracy and data quality. Ability to work independently and manage multiple tasks in a fast-paced environment. Preferred Qualifications (Good to Have): Exposure to data visualization tools like Power BI, Tableau, or QlikView. Experience with statistical analysis and predictive modeling. Basic knowledge of quality management systems and metrics (especially useful in manufacturing or product quality domains). Key Attributes: Analytical mindset with a passion for working with data. Process-oriented and structured in approach. Proactive attitude towards continual improvement. Ability to work collaboratively across departments.

Description Are you interested in helping build world-class solutions for Amazon's Rest Of World (ROW) supply chain? Do you want to deliver products at scale that influence planning/forecasting of complex supply chain networks across ROW countries? Amazon’s ROW (Rest of World) Supply Chain Analytics team is looking for a talented Data Scientist with leadership skills, proven ability to develop, enhance, automate, and manage analytics models using strong quantitative skills. To be successful in the role, you will need to have strong data mining and modeling skills and be comfortable facilitating ideation and working from concept through to execution. You will build tools and support structures needed to analyze data, dive deep into data to determine root cause and present findings to business partners to drive improvements. You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with multiple business and technical teams. This position is located at Bangalore, IN. Key job responsibilities Development of scalable data science solutions to audit and optimize supply chain planning/forecasting Development and execution of analytical tools to model our networks (transportation, first-mile etc). Contribute to the strategy for forecasting/planning, prioritize technical and operational initiatives, evaluate and set stakeholders expectations. Basic Qualifications 2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Preferred Qualifications Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company 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: A3008253

We Are Hiring. Know anyone who might be interested Interested Candidates Share your Resumes: hr@ekalasaala.in Job Title : Subject Matter Expert (EEE) Job Location : Hitech City, Hyderabad Interview Mode : F2F Fresher/Experience : 0-2yrs Salary : Depends on Interview Timings : 10am - 6:30pm Working Days : Monday-Saturday *** Must Work from Office*** Company Description EKALASAALA is a pioneer in Career Guidance & Training for technocrats through e-learning in Hyderabad. They provide comprehensive career guidance for engineering graduates in India, helping them navigate their career paths effectively. Role Description This is a full-time Subject Matter Expert EEE role located in Hyderabad. The Subject Matter Expert will be responsible for providing expertise in the field of Electronics and Communication Engineering, conducting training sessions, developing educational content, and ensuring the quality of content delivered to students. Qualifications Experience in conducting training sessions and developing educational content Strong communication and presentation skills Ability to work collaboratively in a team environment Knowledge of e-learning platforms and technologies Experience in the education or training industry is a plus Bachelor's or Master's degree in EEE Should Have Good Knowledge In all EEE Topics and Matlab is mandatory Job Type: Full-time Pay: ₹30,000.00 - ₹35,000.00 per month Schedule: Day shift Work Location: In person

Overview: This role is a technical lead role within ICC, Hyderabad that will co-ordinate with Data Science and Analytics team on creation of new digital capabilities and sustaining existing digital capabilities. This role will act as the key technical expert dedicated to Foods Packaging Modeling & Simulation development (70%). This role also has the managerial responsibility of leading all DSA-ICC associates (30%). This role will act as one of the key technical specialists for packaging modeling & simulation. This role also will serve as local simulation team Lead to drive overall deliverables. The role will be responsible for performing simulations using FEM, DEM, CFD and other techniques and providing insights that influence the design and development of R&D applications, with focus on Foods Packaging applications. This role will also Collaborate with internal and external stakeholders in a global setting and will support Troubleshooting & Problem Solving to Diagnose and resolve issues related to simulation models and results. This role also is responsible for developing 3DX Apps, Graphical User Interfaces (GUI) and simulation templates. This role will also provide leadership to all simulation and modelling teams ( including other associates ). Responsibilities: Lead a team of Modelling, Simulation and other SMES of DSA team ( Including Bev Pkgs Teams) based out of Hyderabad. Provide Strategic direction in alignment with global teams and ensure timely delivery of Committed projects. Functional Responsibilities Deliver Foods Packaging Simulation models and apps per Simulation Roadmap and Timeline above Deliver modeling and simulation projects using 3DX, other general purpose and specialized numerical software. Collaborate with Dassault experts directly on delivering perfect packaging simulation templates and apps Design and develop innovative experiments to validate and improve models. Support other senior simulation engineers on assigned simulation tasks including CAD creation, CAD cleaning, meshing, pre-processing, post processing, creating visuals of data Work with external partners, software vendor, university, engineering firms, to develop technologies needed to fulfil PepsiCo need. Additional responsibilities in combining physics-based simulation, sensor technology, data analytics (AI/ML) to deliver digitized innovation projects (digital twin), Support Computational Chemistry projects by data collection and literature research New technology introduction and implementation Qualifications: PhD. with simulation concentration and 8+ years of work experience, MS with 10+ years experience Background in mechanical engineering, solid mechanics or related field Packaging experience with cardboard boxes, films, pallets, is a big plus but not necessary Hands-on experience with commercial software - CFD (ANSYS FLUENT, STAR-CCM+), FEA (ABAQUS, ANSYS Mechanical), DEM (ROCKY, EDEM), COMSOL. Knowledge about computational chemistry (hands on software experience with MOE, Shrodinger a plus) Experience designing and conducting physical testing required to formulate and/or calibrate models, i.e., Wind tunnel, mechanical testing, thermal measurements, Data Acquisition, High speed imagery, etc. Experience with Python, MATLAB, R, JMP a plus. Experience with VR/AR assets creation using KeyShot, Unity, Unreal, or Omniverse a plus. Knowledge and experience in food/beverage production and process engineering a plus – extrusion, drying, frying, mixing, filling, food safety. Strong project management and communication skills. Ability to collaborate with internal and external partners in a global setup. Robust understanding of engineering principle with experience in the area of fluid dynamics, thermodynamics and heat transfer. Experience with state-of-the-art modeling software that capable to model multi-physics problem involving multi-phase fluid flow and heat transfer in engineering and manufacturing processes. Knowledge of how to use simulation to evaluate new and novel technologies for PepsiCo’s innovation in processing/packaging.

Job Description GDIA Mission and Scope- The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Responsibilities Key Roles and Responsibilities of Position: Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams Qualifications Qualifications: BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database Excellent problem solving, communication, and data presentation skills

Job Title: R&D Electrical Engineer Work Location: Qatar Salary: As per industry standards Experience Required: Minimum 3 years in Electrical R&D Job Summary: We are seeking a highly skilled and innovative R&D Electrical Engineer to join our team in Qatar. The ideal candidate will have a strong background in electrical design and research, and a proven ability to contribute to product development, testing, and improvement. This role involves working on advanced electrical systems and components, contributing to the development of new solutions, and ensuring their effective implementation. Key Responsibilities: Design, develop, and test electrical systems and components. Conduct detailed research and feasibility studies for new product ideas. Develop technical documentation including schematics, reports, and test plans. Work with cross-functional teams (Mechanical, Software, and QA) to align R&D goals with project requirements. Prototype, simulate, and evaluate new designs and suggest improvements. Ensure compliance with international standards and safety regulations. Investigate new technologies and trends in electrical engineering. Support product lifecycle management from concept to deployment. Key Requirements: Bachelor's/Master's Degree in Electrical/Electronics Engineering or a related field. Minimum of 3 years experience in Electrical R&D . Strong knowledge in circuit design, PCB layout, simulation tools (e.g., MATLAB, PSPICE), and embedded systems. Experience with product testing and validation methods. Familiarity with international electrical standards and protocols. Excellent analytical, problem-solving, and communication skills. Ability to work independently with dedication and meet project deadlines. Who Can Apply: Candidates with 3+ years of dedicated R&D experience in the electrical field . Self-motivated professionals passionate about innovation and development. Those willing to relocate and work full-time in Qatar . Job Types: Full-time, Permanent Pay: ₹566,091.14 - ₹964,056.53 per year Benefits: Health insurance Paid sick time Education: Master's (Required) Experience: Electrical engineering: 5 years (Required) R&D: 1 year (Required) Language: English (Required) Work Location: In person

Job Title: R&D Electrical Engineer Work Location: Qatar Salary: As per industry standards Experience Required: Minimum 3 years in Electrical R&D Job Summary: We are seeking a highly skilled and innovative R&D Electrical Engineer to join our team in Qatar. The ideal candidate will have a strong background in electrical design and research, and a proven ability to contribute to product development, testing, and improvement. This role involves working on advanced electrical systems and components, contributing to the development of new solutions, and ensuring their effective implementation. Key Responsibilities: Design, develop, and test electrical systems and components. Conduct detailed research and feasibility studies for new product ideas. Develop technical documentation including schematics, reports, and test plans. Work with cross-functional teams (Mechanical, Software, and QA) to align R&D goals with project requirements. Prototype, simulate, and evaluate new designs and suggest improvements. Ensure compliance with international standards and safety regulations. Investigate new technologies and trends in electrical engineering. Support product lifecycle management from concept to deployment. Key Requirements: Bachelor's/Master's Degree in Electrical/Electronics Engineering or a related field. Minimum of 3 years experience in Electrical R&D . Strong knowledge in circuit design, PCB layout, simulation tools (e.g., MATLAB, PSPICE), and embedded systems. Experience with product testing and validation methods. Familiarity with international electrical standards and protocols. Excellent analytical, problem-solving, and communication skills. Ability to work independently with dedication and meet project deadlines. Who Can Apply: Candidates with 3+ years of dedicated R&D experience in the electrical field . Self-motivated professionals passionate about innovation and development. Those willing to relocate and work full-time in Qatar . Job Types: Full-time, Permanent Pay: ₹8,086.00 - ₹70,182.73 per month Schedule: Day shift Experience: R&D : 3 years (Required) Electrical engineering: 3 years (Required) Language: English (Required) Work Location: In person

Description From its academic roots, Aurora Energy Research has grown to become the largest dedicated power market analytics company in Europe, providing data-driven intelligence for strategic decisions in the global energy transformation. We are a diverse team of over 1000 experts with vast energy, financial and consulting backgrounds, covering power, hydrogen, carbon and fossil commodities. We are active in the US, Europe, APAC working with world-leading organisations to provide comprehensive market intelligence, bespoke analytic and advisory services, and cutting-edge software. We are a thriving, rapidly growing company with offices across the globe and more opening soon. We currently serve around 750 of the world’s most influential energy sector participants, including utilities, investors, and governments, and expect to continue to grow rapidly, adding new countries and products to our portfolio. Key Responsibilities Leading advisory projects independently for our clients, across a diverse range of energy transition technologies, business models and strategies, including planning out the work of the team and ensuring we maintain rigorous standards of analysis and clear communication of insights Line management of junior analysts in the team to help them develop and coaching/managing analysts within a project Supporting business development work, for example by contributing delivery plans to our proposals Skills, Knowledge and Expertise Experience of working at a major consultancy, energy company, financial services company, or other knowledge-focused firm or institution First class university degree from premier institute (IITs and IIMs preferred) Demonstrated success in taking responsibility for project and process management in team-oriented environments Proven ability to interpret and derive insight from complex quantitative data and information Demonstrated ability to work on complex energy modelling of hybrid power products in the Indian power sector Previous experience of working on energy-related projects or policy – particularly in an Indian context (preferably in Power and Renewables domain) Preferred understanding of energy modelling, especially power markets Demonstrated experience of working on due-diligence and transaction advisory projects in the Indian power sector Strong problem-solving analytical capability with a high level of aptitude Desirable attributes: Strong understanding of Indian power sector including key regulatory aspects related to power markets and corporate decarbonisation Ability to communicate clearly and co-operate effectively with both technically and non-technically minded people Self-starting, entrepreneurial mind-set, and desire to grow the business. Leadership, management or mentoring experience demonstrated by previous roles of professional responsibility or extracurricular activities Competence in advanced data analytics (e.g. Python, R, Matlab, Advanced Excel) Strong academic record, such as a Master’s degree or PhD in a relevant discipline Benefits The opportunity to substantially influence major decisions in the energy sector Direct engagement with clients through Aurora conferences, workshops and webinars The opportunity to grow into a publicly visible industry expert A fun, informal, collaborative and international work culture A competitive salary package Access to regular coaching and mentoring sessions and the opportunity to learn from experienced professionals Access to the Aurora Academy, our training programme offering a range of opportunities to develop your skills within the responsibilities of your role and within the wider context of the industry Access to our Employee Assistance Programme (EAP), offering a complete support network that offers expert advice and compassionate guidance 24/7/365, covering a wide range of personal and professional aspects About Aurora Energy Research From its academic roots, Aurora Energy Research is a thriving, rapidly growing company, currently serving over 600 of the world’s most influential energy sector participants, including utilities, investors, and governments. While we constantly strive to reach new markets and diversify our product portfolio, we are already active across the globe in Asia-Pacific, Latin America, Europe, and North America, working with leading organisations to provide comprehensive market intelligence, bespoke analytic and advisory services, and cutting-edge software. We are a diverse team of experts with vast energy, financial, and consulting backgrounds, covering power, hydrogen, carbon, and fossil commodities. With this, we provide data-driven intelligence to fuel strategic decisions in the global energy transformation

GDIA Mission and Scope- The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Qualifications: BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database Excellent problem solving, communication, and data presentation skills Key Roles and Responsibilities of Position: Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams

Engineer - Quality Assurance HiL REQUISITION ID: 9974 LOCATION: Chennai, TN, IN, 600119 DEPARTMENT: Engineering Your Tasks: Specify and design new HiL tests according to the requirements of electrical converter. Development, testing and maintenance of automated tests in EXAM test automation. Performing test campaigns and analysis of the test results for Main Power Converter, Pitch and Yaw. Preparation of quality reports, SOP’s and maintenance of documents in Teamcenter. Support to field related issues by simulating in HIL environment. Design, develop, and implement automatic hardware-in- the loop (HIL) tests for software verification of electrical converters. Your Profile: Electrical Engineer or Electronics Engineer or Industrial Engineer. BS / MS from an accredited university with a mayor in electrical engineering or science. Logical and analytical thinking. Knowledge of Python, MATLAB & Simulink programming is preferable. Excellent communication and teamwork skills paired with intercultural competence. Availability to travel. Nordex adheres to a policy of equal employment opportunity. All employment decisions are made without regard to religion, age, sex, color, national origin, handicap, or other protected class and are in full compliance with all federal and state laws. ABOUT THE NORDEX GROUP The manufacture of wind energy plants in the on-shore segment has been our core competence and passion for around 40 years. With more than 57 GW installed capacity worldwide, our turbines supply sustainable energy to more than 80% of the global energy market and we are one of the largest companies in the wind industry. National subsidiaries in more than 40 markets and production facilities in Germany, Spain, Brazil, the USA, Mexico and India offer our more than 10,400 employees the opportunity for international and intercultural cooperation. We are growing and together driving forward the expansion of alternative energies worldwide - if you wish, from now on with you. Join the #TeamNordex We look forward to receiving your application! To make it more convenient for you, we are happy to receive your application without a cover letter.

We’re Hiring | Advanced Mechatronics Engineering Position: Senior Advanced Mechatronics Engineer Location: Chennai Experience: 5 to 10 years What You'll Do Design and develop mechatronic subsystems—sensors, actuators, controllers 2 Integrate and prototype robotic and automation solutions 3 Debug, test, and ensure system reliability and compliance 4 Collaborate cross-functionally with mechanical, software, and electrical teams 5 Document designs, test results, and engineering workflows Must-Have Experience 3–8 years in mechatronics system design Led at least 1 client project end-to-end Experience with project planning, hiring, budgeting, and team coordination Exposure to methodologies like Design Thinking, Kanban, Six Sigma Technical Skills Required Circuit design, soldering, debugging with DMM, CRO Integration of sensors, actuators, microcontrollers, IoT devices Programming: C/C++, Python, Java (Assembly and Ladder are a plus) Tools: MATLAB Simulink, ROS, Gazebo Protocols: CANBUS, RS232, TCP/IP Qualifications BE/BTech or Master’s in Electronics / Mechatronics Engineering Strong communication, documentation & team collaboration skills Apply Now | DM usmary@chosenconsultanthr.com/9790438392 Job Types: Full-time, Permanent Pay: Up to ₹700,000.00 per year Benefits: Health insurance Provident Fund Schedule: Morning shift Work Location: In person

Job Description About the Role Extreme Event Solutions at Verisk (previously AIR Worldwide) is the scientific leader and most respected provider of risk modeling software and consulting services. Extreme Event Solutions at Verisk founded the catastrophe modeling industry in 1987 and today models the risk from natural catastrophes, terrorism, and pandemic outbreaks in 90 countries. Verisk offers the opportunity to work with advanced technologies, global clients, and hundreds of the most innovative, talented minds in the industry. Become a member of our Atmospheric Perils Vulnerability team and join our growing Research and Modeling department in our Hyderabad, India office. Use your knowledge of civil engineering and statistics to develop models of extreme catastrophic events (i.e., hurricanes, tornadoes, storm surge, flood etc.) and assess building performance in the context of such events. This Research Engineer position is responsible for developing, enhancing and supporting the engineering/vulnerability components of Verisk’s atmospheric perils based portfolio risk analysis models that cover worldwide regions, including perils such as straight-line wind from tropical cyclones, severe convective storms and winter storms, hail, snow, and freezing temperatures. General responsibilities include identifying the impact that these perils can have on the built environment, including physical damage which can result in monetary loss to buildings/infrastructure, contents, and loss of use (downtime). The candidate will work closely with a team of structural engineers, meteorologists, hydrologists, hydraulic engineers, statisticians, and specialists in financial application of probabilistic risk assessment. The candidate is expected to be highly motivated, detail oriented, well organized, and an independent worker and collective team player who can present and explain results to internal stakeholders and external clients. The evolving nature of research work at Verisk creates unique and challenging problems that spark innovation and growth and creates opportunities for its employees. A successful candidate should have a desire to use problem-solving skills in applying sound engineering principles to solve unique and challenging problems in the fields of civil/structural engineering and risk assessment. It is expected that candidates will be highly motivated, detail-oriented, well-organized, able to perform high-quality self-directed research, have outstanding written and verbal communication skills, and be team-oriented. Responsibilities About the Day-to-Day Responsibilities of the Role As a member of our Atmospheric Perils Vulnerability Team, your day-to-day responsibilities will include the following: Data acquisition, synthesis, and analysis for the purpose of understanding building inventory, and its vulnerability in lieu of industry insured losses and insurance claims data subjected to atmospheric-based hazards in multiple regions worldwide Willingness to learn and work with a variety of proprietary Verisk datasets and find ways to integrate the same into Verisk’s extreme event models Analytical analyses and research aimed towards the development of vulnerability functions and monetary loss curves for structural and non-structural building and infrastructure components subjected to hazards such as wind, tornadoes, hail, and snow for several regions of interest worldwide Implementation of research into Verisk’s portfolio risk analysis models, including programming loss simulation codes and analysis tools, and probabilistic risk assessment validation Use of GIS and similar tools for data visualization and analysis Real-time and virtual building damage assessments due to natural catastrophes during and after significant events Preparation and presentation of work at staff internal and client external meetings as well as technical writing for internal and external publications and client-facing documentation Qualifications About You and How You Can Excel in This Role Ph.D. in Civil Engineering with a special emphasis in Structural Engineering Experience in performance-based design, probabilistic and stochastic risk assessment and modeling, and reliability theory with applications to the field of structural engineering Proficiency in C/C++, Python along with other productivity software including R, MATLAB, Microsoft Office Excellent written and verbal communication skills Strong organizational and excellent documentation skills Knowledge of GIS applications (e.g. ArcView) and SQL server is a plus About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture. We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations. Verisk Businesses Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events. Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. https://www.verisk.com/company/careers/ Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice

Role Purpose: Specialists in a particular sphere of technology. Support adoption and implementation of newer technology through their valuable technical knowledge or practical experience Key Accountabilities: Expertise in Material Science/ LAN Cable/Fiber Optic Cable/Connectivity B.Tech/M.Tech with 8-12 years experience Preferred Experience and Qualification: Support translation of customer pain points and expectations into technical requirements and prepares plans to address them appropriately Work with the sales and pre-sales team to showcase the organizational capabilities in technology Provide recommendations/ suggestions to seamlessly deliver application engineering solutions in Sterlite Tech to increase effectiveness and efficiency of solutions Support the Technology Unit Head to visualize and implement new technology Identify and report technical roadblocks in implementation or adoption Stays abreast of the latest technological advances in his own field/sphere and initiates plans to implement the same at Sterlite Responsible for propagating a culture of good manufacturing practices, driving values of Sterlite along with continuous improvement Responsible for mentoring and coaching the reporting staff and other employees Bachelor s degree in Engineering/ Data science or related field from a reputed institution. Proficiency in programming languages: Python, Matlab, SQL, C++, Azure. Experience with big data and machine learning tools Strong skills in data visualization (Tableau, PowerBI), data wrangling, and DBMS. Expertise in statistical analysis, A/B testing, ETL, time-series forecasting, and hypothesis testing. Excellent stakeholder management, communication, and storytelling abilities. Desirable: Experience in manufacturing, process engineering, or operations analytics.

Company: Bajaj Electricals Job Title Hardware Design Engineer Job Code Department/ BU Research and Development Location Navi Mumbai Reporting To Lead - Electronics Design, E&E Organizational Description Bajaj Electricals Limited (BEL), a globally renowned and trusted company, with a turnover of around 5500 crores (FY 22-23), is a part of "Bajaj Group". Bajaj Electricals business includes Consumer Products (Appliances, Fans, Lighting), Exports, Illumination and Transmission & Distribution (Transmission Line and Power Distribution). We also have a strong presence in premium range of home appliances and cookware with brands like Morphy Richards, Nirlep & Nex. We have 18 branch offices across different parts of the country besides being supported by a chain of distributors, authorized dealers, retail outlets and approximately 480 customer care centers. To increase our global footprint, Bajaj Electricals has also set up offices in Africa, Middle East and China. Bajaj Electricals is driven by Gandhian set of values advocated by our founding father, Shri Jamnalal Bajaj. Our current leaders carry forward this legacy while evolving for the future. Inspiring Trust , our tagline, is something that we associate with and try to fulfil in our everyday endeavors. Apart from work, we also believe in bringing about change in our society through our philanthropic work. Our Corporate Social Responsibility (CSR) initiatives rest on sustainability, gender diversity, employee volunteering and community outreach programs. Major Areas of Responsibilities Develop, debug and test analog and digital power electronic circuits for lighting application Design and selection of components like magnetics, FETs, IGBTs, SCRs, ICs, micro-controllers etc. Simulate the design, create schematics/board layout and prepare functional prototype Carry out validation and reliability testing of components and circuit Formulate SOPs and carry out tests as per standard Come up with new ideas and innovations which can solve consumer pain points Maintain test records, analyze and share observation/suggestions with the relevant stakeholders Carry out root cause analysis of failed samples and plan for corrective actions Evaluate LED driver suppliers on the required parameters & formulate test plan Carry our process improvements at supplier Gracefully adjust to meet changing circumstances such as reorganizations, reassignment of project priority, changes in strategic direction, and customer needs Handle ambiguity in problem definition, have a good handle on business value and have the initiative to shape problems and projects so that they deliver maximum impact Requirement We are looking for a highly skilled product design engineer with knowledge of interdisciplinary engineering fundamentals in power electronics, who can define and design system level approaches to solve fundamental consumer problems. The candidate must have highest level of ingenuity and creativity who can work on multiple parallel approaches while solving problems and arrive at the simplest, manufacturable and cost-effective solution. Essential Qualification : BE in Electricals or E&E Experience : 5-8 years Industry Preference : Power Electronics design, BLDC & Induction motor controllers, control & simulation for LED lamp drivers, Induction heaters, mixer grinder etc. Sr. No. Functional Competencies Critical Desirable 1. Fundamentals of power electronics YES 2 Strong background in EMI/EMC, high frequency magnetics and control systems YES 3 Familiarity with simulation tools like Pspice, MATLAB, LTspice & SABER. YES 4 PCB layout design software skill like Altium, Orcad etc. YES 5 Manufacturing processes YES 6 Good knowledge of different AC/DC converter topologies including high frequency ones (Buck, boost, fly-back, HB/FB inverters) YES 7 Knowledge on sensors and actuators YES 8 Basic knowledge on electrical motors used across industry YES 9 Software coding (POC level) Yes Sr. No. Behavioral Competencies Critical Desirable 1. Strong communication skills YES 2. Problem solving skills at system level YES 3. Innovative mind set YES 4. Personal effectiveness YES 5 Ethics YES Any specific requirement Demonstrated track record of such design and developments

Build BMS logic in Simulink, develop control software, integrate with HAL/CAN, support ISO 26262, run MIL/SIL/HIL tests, sync with hardware teams, document process, lead certifications; skilled in MATLAB, CAN, RTOS, microcontrollers, and safety tools

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data n’ Analytics – Data Strategy - Manager, Strategy and Transactions EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We’re looking for Manager - Data Strategy. The main objective of the role is to develop and articulate a clear and concise data strategy aligned with the overall business strategy. Communicate the data strategy effectively to stakeholders across the organization, ensuring buy-in and alignment. Establish and maintain data governance policies and procedures to ensure data quality, security, and compliance. Oversee data management activities, including data acquisition, integration, transformation, and storage. Develop and implement data quality frameworks and processes.The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. Discipline Data Strategy Key Skills Strong understanding of data models (relational, dimensional), data warehousing concepts, and cloud-based data architectures (AWS, Azure, GCP). Proficiency in data analysis techniques (e.g., SQL, Python, R), statistical modeling, and data visualization tools. Familiarity with big data technologies such as Hadoop, Spark, and NoSQL databases. Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration Skills And Attributes For Success 10-12 years of total experience with 8+ years in Data Strategy and Architecture field Solid hands-on 6+ years of professional experience with designing and architecting of data warehouses/ data lakes on client engagements and helping create enhancements to a data warehouse Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) 5+ years’ experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ] 5+ years experience in various Azure services preferred – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 8 years of hands-on database design, modelling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills Strong project and people management skills with experience in serving global clients To qualify for the role, you must have Master’s Degree in Computer Science, Business Administration or equivalent work experience. Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 12 to 14 years in a big 4 or technology/ consulting set up Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS Access\Postgresql\Oracle PLSQL\MySQLStrong in Data Structures & Algorithm Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

CFD Engineer Domain / Primary Skill : Cell Chemistry, CFD Tools : COMSOL Multiphysics, Matlab/ Simulink, Python/ Java Job Location: Pune, Maharashtra Year of Experience: 3-8 years Educational Qualification: Bachelor’s Degree: A degree in Mechanical Engineering, Chemical Engineering, Electrical Engineering or a related field Master’s Degree: Preferably in Automotive Engineering, Battery Technology or related field Job Description / Roles & Responsibilities : ER&D team is looking for a simulation engineer with solid understanding on cell chemistry and experience on battery cell chemistry simulations Duties and Responsibilities : Calibration and validation of existing models based on new data sets Analyzing simulation model requirements and goals Choosing appropriate simulation method Handling simulation inputs and outputs Prepare and share model and simulation results as per customer requirement Combining simulation models into larger systems Performing optimization using simulations Managing data and configurations Automation and Digitalization of the data management and simulation process Continuously improve simulation automation processes Work closely with cross-functional teams, including scientists and engineers Technical Skills: Expertise in component and system modelling Solid understanding on battery/ cell chemistry Proficient in Matlab/Simulink and/or COMSOL Multiphysics Good understanding of Python and/or Java programming Managing large amounts of data - creation of scripts for automatic data handling (Excel, Matlab/Simulink, Python/Java) • Competencies Ability to think analytically and abstractly. Strong problem-solving capabilities Awareness of quality management requirements in simulations Attention to detail and thoroughness Willingness to take responsibility

Position: Intern Design Engineer Qualification: BE /Diploma Mechanical Experience: fresher Job Location: Changodar, Ahmedabad Joining: Immediate Mandatory Skills: Auto CAD & Solidworks Industry: Manufacutrer of injection woulding machind & Plastic Job Overview We are seeking a Design Engineer Intern - Mechanical for our Ahmedabad location. This is a full-time position, ideal for freshers with 0 to 1 year of experience in the field. The role involves working with cutting-edge design technology and systems in a professional environment that fosters learning and growth. The intern will gain hands-on experience in creating and developing mechanical designs using industry-standard software and practices. Qualifications and Skills Proficiency in AutoCAD (Mandatory skill) for creating precise and detailed technical drawings and blueprints. SolidWorks (Mandatory skill) experience is required for designing and modeling 3D components and assemblies. A background in Mechanical Engineering (Mandatory skill), ensuring a strong understanding of engineering principles. Knowledge in product design to create innovative and functional mechanical solutions. Understanding design for manufacturing to ensure designs can be efficiently and effectively produced. Ability to produce detailed engineering drawings to accurately convey design specifications and dimensions. Experience in 3D modeling to visualize and refine design concepts in three-dimensional space. Familiarity with MATLAB for analyzing and solving mechanical and mathematical problems in design. Roles and Responsibilities Collaborate with senior engineers to create and refine mechanical designs and components. Utilize AutoCAD and SolidWorks to draft and model new components and systems. Assist in the development of prototypes and conduct testing to validate design concepts. Participate in design reviews and provide constructive feedback to improve design outcomes. Prepare detailed engineering drawings that meet industry standards and client specifications. Analyse design challenges and propose innovative solutions to enhance design efficiency. Document design processes and maintain comprehensive records of design changes and updates. Support the team in various tasks related to ongoing design and development projects.