3588 Matlab Jobs - Page 24

Minimum of 8 yrs of experience in QAD Development/Migration/Support Hands on experience debug reported issue and provide resolution with fix to business users Experience in Distribution, Manufacturing and Finance Module and good understanding of EDI ecommerce, EAM module, Fixed Asset, MSW Strong understanding of business process in Supply chain and Manufacturing Exposure to Mfg/Pro 9, eB2.1, QAD 2008 SE, QAD 2012 EE, QAD 2015 EE and QAD Adaptive and Qxtend Good Technical knowledge of Progress 4GL, QAD reporting framework, RF Eagle and Stream Serve Good understanding of inbound & outbound XML file processing, knowledge EDI configuration Must be QAD cloud certified Effective On Boarding (EOB), Sales in Adaptive UX, Purchasing in Adaptive UX, Enterprise platform Developer - Certifications Handle complex QAD application related issues from customer, partners and business users to provide resolution on time

Almabase is looking for Sales Development Representative - UK market to join our dynamic team and embark on a rewarding career journeyWe are seeking a motivated and results-driven Sales Development Representative (SDR) to join our sales team. As an SDR, you will be responsible for generating and qualifying leads, prospecting potential customers, and scheduling meetings for the sales team. Your role will be crucial in driving sales growth and expanding our customer base.Responsibilities:Identify and research potential leads and prospects through various channels, including online research, cold calling, email campaigns, and social media.Qualify leads by assessing their needs, budget, timeline, and purchasing authority.Conduct outbound prospecting activities to reach out to potential customers and introduce them to our products or services.Engage with leads and prospects through phone calls, emails, and other communication channels to understand their requirements and educate them about the value proposition of our offerings.Maintain accurate and up-to-date records of lead information, interactions, and progress in the CRM system.Collaborate with the sales team to develop and refine lead generation strategies, messaging, and outreach techniques.Schedule meetings and product demonstrations for the sales team with qualified leads and prospects.Provide timely and detailed feedback to the sales team regarding customer needs, objections, and market trends.Stay updated on industry trends, competitive landscape, and product knowledge to effectively communicate our value proposition to prospects.Meet or exceed monthly and quarterly targets for lead generation and qualified meetings.

The ShipTech BI team is looking for a smart and ambitious individual to support developing the operational reporting structure in Amazon Logistics. The potential candidate will support analysis, improvement and creation of metrics and dashboards on Transportation by Amazon, In addition, they will work with internal customers at all levels of the organization Operations, Customer service, HR, Technology, Operational Research. The potential candidate will enjoy the challenges and rewards of working in a fast-growing organization. This is a high visibility position. As an Amazon Data Business Intelligence Engineer you will be working in one of the worlds largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about bringing large datasets together to answer business questions and drive change. Key Responsibilities: Design automated solutions for recurrent reporting (daily/weekly/monthly). Design automated processes for in-depth analysis databases. Design automated data control processes. Collaborate with the software development team to build the designed solutions. Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators. Improve tools, processes, scale existing solutions, create new solutions as required based on stakeholder needs. Provide in-depth analysis to management with the support of accounting, finance, transportation and supply chain teams. Participate in annual budgeting and forecasting efforts. Perform monthly variance analysis and identify risks opportunities. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

1. Design and development of CV, Steering and front axle aggregates 2. knowledge Bus and load platform 3. Casting and forging manufacturing processes knowledge, 4. DMEA, DFA, DFS, DFM. 5. Knowledge of DVP, 6 Hands on experience in CATIA. 6. Ability to resolve the problems, 7. Basic knowledge of vehicle dynamics ADAMs, MBD. 8. Knowledge of Homologation requirements.

Role & responsibilities To be a part of EV software development team by learning and understanding the features of BECM, involving in requirement design, software design, design review, issue analysis, DVM creation, MIL/SIL/PIL testing, software build and release. Candidates with Embedded Coder expertise, Jenkins (related Devops tool), Autosar BSW & Davinci/vector product exp Skill Set Matlab, Simulink, Stateflow, Autosar, Targetlink/Embedded Coder, Devops tool, Polyspace, MIL,SIL,PIL, C programming, Requirements Design, Trace32, AUTOSAR, Davincii, ISO26262, M-script and Python

Role Purpose The purpose of this role is to perform the development of VLSI system by defining the various functionalities, architecture, layout and implementation for a client Do 1. Conduct verification of the module/ IP functionality and provide customer support a. Understand the architecture of the module or the IP and create verification environment and the development plan as per Universal Verification Methodology b. Create test bench development and test case coding of the one or multiple module c. Write the codes or check the code as required d. Execute the test cases and debug the test cases if required e. Conduct functional coverage analysis and document the test cases including failures and debugging procedures on SharePoint/ JIRA or any other platform as directed f. Test the entire IP functionality under regression testing and complete the documentation to publish to client g. Troubleshoot, debug and upgrade existing systems on time & with minimum latency and maximum efficiency h. Write scripts for the IP i. Comply with project plans and industry standards 2. Ensure reporting & documentation for the client a. Ensure weekly, monthly status reports for the clients as per requirements b. Maintain documents and create a repository of all design changes, recommendations etc c. Maintain time-sheets for the clients d. Providing written knowledge transfer/ history of the project Mandatory Skills: Semiconductor Integration. Experience: 3-5 Years. >

Job Description: Senior Embedded Linux Developer (UAV Control Systems) Position : Sr. Embedded Linux Developer (UAV Control Systems) Experience Level: 6+ Years Location : Bhubaneshwar Department : Software Job Type : FTE Job Description : We are seeking a highly skilled Embedded Linux Developer with a strong background in developing real-time control software for Unmanned Aerial Vehicles (UAVs). The candidate will be responsible for designing, developing, testing, and optimizing embedded systems that interface with flight control hardware and support mission-critical UAV operations. Key Responsibilities : • Develop, port, and maintain embedded Linux distributions (Yocto, Buildroot, or similar) for UAV avionics and companion computers. • Implement and optimize real-time control applications interfacing with flight controllers (e.g. PX4, ArduPilot) via MAVLink or other protocols. • Integrate sensor drivers (IMU, GPS, barometer, cameras) into Linux kernel space or user space as required. • Develop and debug kernel modules and device trees for custom UAV hardware. • Implement inter-process communication (IPC) and middleware between control software, mission planning systems, and onboard payloads. • Collaborate with control systems engineers to translate flight algorithms (PID, LQR, MPC) into deployable embedded code. • Support UAV system-level bring-up, including bootloader (U-Boot), firmware flashing, and diagnostics. • Work with DevOps teams to streamline cross-compilation, CI/CD pipelines, and over the-air (OTA) updates. • Write unit tests, conduct software-in-the-loop (SITL) and hardware-in-the-loop (HITL) testing. • Ensure compliance with aerospace software standards (e.g. DO-178C, MISRA) and cybersecurity best practices Required Skills: • Strong experience in embedded Linux development (Yocto/Buildroot). • Kernel customization, device drivers, and BSP development. • Familiarity with ARM-based SoCs (NXP, STM32MP, NVIDIA Jetson, Raspberry Pi, etc.). • Proficiency in C/C++ and shell scripting. • Experience with Python (for scripting, tools, or automation). • Knowledge of UAV control systems, flight dynamics, and navigation. • Experience with PX4 or ArduPilot and MAVLink communication. • Understanding of control algorithms like PID, LQR, or Model Predictive Control (MPC). • Familiarity with ROS/ROS2 for robotic middleware integration. • Proficient in Git, CMake, and cross-compilation toolchains. • Experience with SITL/HITL setups, debugging via JTAG/serial/UART. • Familiarity with CAN, I2C, SPI, UART protocols. • Good understanding of UAV mission planning, telemetry, and GCS interaction. • Ability to read and understand schematics and hardware documentation. Qualifications : • Bachelor’s or Master’s degree in Electronics, Computer Engineering, Aerospace, or related fields. • Prior experience with real-world UAV deployments or UAV product development lifecycle. • Exposure to secure boot, OTA firmware, and secure communication protocols. • Knowledge of simulation tools like Gazebo or MATLAB Simulink.

Qualification : M.Tech /MCA The required skills for the Software Trainers who can teach the following languages Python C++/C/R programming Java HTML, CSS, JavaScript, PHP Networking (Packet Tracer) VMware MATLAB programming Linux SQL/PLSQL Good Communication Skills Experience- 1-15 years and above Place : Police Station, Bailey Rd, near Rupaspur, Rupaspur, Kaliket Nagar, Patna, Bihar 801503

Description Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The ATT team, based in Bangalore, is responsible for ensuring that ads are relevant and are of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We deal with one of the world’s largest product catalog, handle billions of requests a day with plans to grow it by an order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages. In this role, you will build and develop ML models to address content understanding and labelling problems in Ads. These models will rely on a variety of visual and textual features requiring expertise in both domains. These models need to scale to multiple languages and countries. You will collaborate with engineers and other scientists to build, train and deploy these models. As part of these activities, you will develop production level code that enables labelling of advertising assets and moderation of millions of ads submitted each day. Basic Qualifications PhD, or Master's degree and 4+ years of quantitative field research experience Experience investigating the feasibility of applying scientific principles and concepts to business problems and products Experience analyzing both experimental and observational data sets Preferred Qualifications Knowledge of R, MATLAB, Python or similar scripting language Experience with agile development Experience building web based dashboards using common frameworks 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: A2884993

Description Are you interested in innovating to deliver a world-class level of service to Amazon’s Selling Partners? At Amazon International Seller Services our mission is to make Sellers successful on Amazon. We are the team in Amazon which has a charter to work with sellers from every country. This provides a great opportunity to get diverse experience and a worldwide view. In this role you will be part of our mission to improve the Customer and Selling Partner experience across EU expansion marketplaces. You will partner with Business leaders, Product managers, BI manager to help drive specific business goals and be the analytical engine in specific areas. You will help identify, track and manage Key Performance Indicators (KPIs), partner with the internal and external teams to identify root-causes and automate iterative workflows using Amazon's tools. The ideal candidate should have a proven ability to independently deliver complex analytics projects. This role has high leadership visibility and requires efficient communication with tech & non-tech stakeholders. To be successful in this role, you should be comfortable dealing with large and complex data sets, have expertise in SQL querying, excel, have experience building self-service dashboards and using visualization tools, while always applying analytical rigor to solve business problems. Should have excellent judgment, be passionate about high standards (is never satisfied with the status quo), deliver innovative solutions. Key job responsibilities Collaborate with Leaders, multiple Account Managers, Team Managers etc. to understand business requirements and to prioritize and deliver data and reporting independently. Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs. Analyze key metrics to uncover trends and root causes of issues and build simplified solutions for account managers/product managers to consume. Apply Statistical and Machine Learning methods to specific business problems and data. Utilizing code (Python, R, Scala, etc.) for analyzing data and building statistical models. Lead deep dives working backwards from business hypotheses and anecdotes & build visualizations and automation to reduce iterative manual efforts. Automate workflows using Amazon tools to improve sales teams productivity. Collaborate with other analysts to adopt best practices. Continually upskill in new technologies and adopt them in day to day work Basic Qualifications Bachelor's degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Finance). 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. Experience of working with SQL and at least one data visualization tool (e.g., PowerBI, Tableau, Amazon QuickSight) in a business environment. Preferred Qualifications Proficiency in Python Knowledge of Java, JSON and Amazon Technologies: AWS S3, RS, Lambda Experience of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience as business analyst, data analyst or similar role 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: A2983323

Role & responsibilities Key Responsibilities: Design, implement, and validate rule-based configuration systems to manage product logic and constraints. Utilize Matlab for modelling, simulations, and logic implementation. Translate product and business requirements into logical rules and constraints for configuration engines. Collaborate with cross-functional teams including engineering, product management, and IT to ensure logical consistency and scalability. Maintain and optimize existing logic modules to improve performance and maintainability. Support troubleshooting, debugging, and validation of logic issues in live and test environments. Apply propositional and predicate logic to model complex systems and interactions. Analyse logical consistencies and implications within large rule sets. Document logic designs, rules, and configurations clearly and systematically. Required Skills and Qualifications: 3 to 6 years of relevant experience in product logic, mathematical modelling, or rule-based systems. Proficiency in Matlab (programming, simulation, modelling). Experience with rule-based configurators, logic engines, or knowledge-based systems. Strong grasp of Boolean logic, constraints modelling, and decision systems. Ability to understand complex product architectures and translate them into logical frameworks. Preferred candidate profile

Design, implement, and validate rule-based configuration systems to manage product logic and constraints. Utilize Matlab for modelling, simulations, and logic implementation. Translate product and business requirements into logical rules and constraints for configuration engines. Collaborate with cross-functional teams including engineering, product management, and IT to ensure logical consistency and scalability. Maintain and optimize existing logic modules to improve performance and maintainability. Support troubleshooting, debugging, and validation of logic issues in live and test environments. Apply propositional and predicate logic to model complex systems and interactions. Analyse logical consistencies and implications within large rule sets. Document logic designs, rules, and configurations clearly and systematically. Required Skills and Qualifications: 3 to 6 years of relevant experience in product logic, mathematical modelling, or rule-based systems. Proficiency in Matlab (programming, simulation, modelling). Experience with rule-based configurators, logic engines, or knowledge-based systems. Strong grasp of Boolean logic, constraints modelling, and decision systems. Ability to understand complex product architectures and translate them into logical frameworks. Excellent analytical and problem-solving skills. Strong communication and documentation abilities. Preferred Qualifications: Exposure to PLM systems or configuration tools like Teamcenter Product Configurator, Configit, Tacton, or similar. Background in mechanical, electrical, or software engineering with strong mathematical reasoning. Experience in handling mass customization or variant configuration logic. Role & responsibilities Preferred candidate profile

Area of Responsibility: The key responsibilities include Vehicle level multibody dynamics (MBD) simulations using ADAMS- view/ADAM- car to evaluate and improve performance requirements. The work also includes performing sub-system level and vehicle level MBD analysis as given below: Multibody Dynamics (MBD) Model build for KnC analysis, Full vehicle Ride and Handling Simulations, Load manag ement simulations. MBD analysis to evaluate design proposals to determine the performance gaps & risks and suggest design modification towards meeting the requirements Performance optimization with help of analytical tools Interaction with other stakeholder s for project updates and performance improvements (design, test & CAE groups) Project management Area of ResponsibilityThe key responsibilities include Vehicle level multibody dynamics (MBD) simulations using ADAMS- view/ADAM- car to evaluate and improve performance requirements.

Eligibility : B.Tech/ M.Sc/ M.tech (Life Sciences / Biotechnology) Required Skills : Good Knowledge of Biotech/ Life Science Techniques Basic knowledge of MS Office English (Reading and Writing) Candidate must have a personal Laptop Job description : 1) A regular visit to Universities/Colleges in various cities to promote our services and collect the samples. 2) Here is the work to do in visit may be allotted to you as your work Profile a. Collection of data b. Maintenance of record of query c. Preparation of quotation (If required) d. Collection of samples 3) Each candidate will be allotted an entire state to visit and manage. 4) These states may be Madhya Pradesh, Uttarakhand, Jharkhand, Bihar, Chhattisgarh West Bengal. 5) Working Location will be decided from time to time after discussion with us

Experience on Agile Transceiver ICs like AD9364, AD9361, characterisation of transceiver receiver, ISM band transceiver will be value addition Designing, implementation and testing of RF circuits like Transceivers, transmitter, receiver, LNA, PA, filters, mixer, PLL synthesizers

Responsible for whole FPGA design flow Responsible for finalization of Micro architectures Responsible for RTL design

Hands-On Experience in Radar Engineering, Embedded Engineering, and RF System Exp with MATLAB, Python, and simulation algorithms. Exp in Python, C++, Know of radar principles, FMCW, and pulse radar. Immediate joiners preferred.

An Instrumentation Engineer is responsible for designing, developing, installing, and maintaining instruments and control systems that measure, monitor, and control variables such as pressure, flow, temperature, and level within industrial processes. Their work ensures the efficient and safe operation of equipment in various sectors like manufacturing, oil and gas, power generation, and pharmaceuticals. Below is a typical job description for an Instrumentation Engineer : ob Overview : The Instrumentation Engineer will be responsible for designing, maintaining, and optimizing instruments and control systems used in process control and automation systems across industrial operations. The role requires a strong understanding of instrumentation technologies, control systems, and relevant safety standards. The engineer will work closely with other departments, including mechanical, electrical, and process engineering teams, to ensure the smooth integration and functionality of instrumentation systems. Key Responsibilities : Design and Development : Design, develop, and select appropriate instrumentation and control systems for new and existing processes. Prepare and review instrument specifications, control system diagrams, and wiring schematics. Ensure the selection of the correct materials, instruments, and tools for the process. Installation and Commissioning : Oversee the installation, calibration, and commissioning of instrumentation equipment and control systems. Ensure systems meet operational requirements and standards. Conduct field checks and system testing for proper functionality. Maintenance and Troubleshooting : Perform routine and preventative maintenance on instrumentation and control systems. Troubleshoot issues with instrumentation equipment, control loops, and systems. Work to resolve operational issues by analyzing performance and recommending improvements. Monitoring and Calibration : Monitor the performance of instruments to ensure optimal operation and accuracy. Calibrate instruments regularly to ensure reliability and precision. Ensure the accuracy of process data and compliance with industry standards. Safety and Compliance : Ensure all instrumentation systems meet safety standards and industry regulations (e.g., IEC, ISA, NFPA). Contribute to safety audits and ensure that instrumentation systems comply with safety requirements. Assist in hazard analysis, risk assessments, and emergency procedures related to instrumentation systems. Documentation and Reporting : Prepare and maintain documentation, including instrument specifications, control system diagrams, and test reports. Provide detailed reports on instrument performance, issues, and recommendations. Document all troubleshooting and maintenance activities for compliance and operational history. Collaboration and Communication : Work closely with other engineering disciplines (mechanical, electrical, process, etc.) for system integration and project execution. Provide technical support and training to staff on instrumentation and control systems. Communicate effectively with clients, suppliers, and contractors regarding instrumentation-related matters. Required Qualifications : Education : Bachelor’s degree in Instrumentation Engineering, Electrical Engineering, or a related field. Experience : [X] years of experience in instrumentation, control systems, or related fields (typically 2-5 years). Certifications : Relevant certifications in instrumentation and control systems (e.g., ISA, NEBOSH) are a plus. Desired Skills : Strong knowledge of industrial control systems, PLCs, SCADA, and DCS systems. Proficiency in instrumentation calibration techniques and troubleshooting. Familiarity with process control theories and practices. Understanding of relevant industry standards and regulations (e.g., IEC 61508, ISO 9001). Strong analytical, problem-solving, and technical writing skills. Excellent communication and teamwork abilities. Experience with design software such as AutoCAD, MATLAB, or similar tools is an advantage. Working Conditions : Ability to work in industrial environments, including factories, plants, or remote locations. May require occasional travel to various sites or clients. Job Type: Full-time Pay: ₹18,000.00 - ₹23,000.00 per month Benefits: Food provided Health insurance Leave encashment Provident Fund Work Location: In person

Position Name: Lead Structural Health Monitoring mageba Bridge Products Private Limited, is the Indian subsidiary of the global mageba group, a leading international supplier of bridge components such as bearings, expansion joints, hydraulic dampers, seismic devices and monitoring systems. mageba India with its office in Kolkata is currently seeking motivated Professional to work as Marketing Manager in our Head Office Key tasks include 1. Leadership & Strategy Lead the design, development, and Resource allocation across projects. Scheduling and Timeline Management Team Leadership and Motivation Cross-Functional Collaboration Time Management Problem Solving Develop monitoring strategies based on structural risk assessment and performance requirements. Supervise a team of SHM engineers and technicians. 2. System Design & Implementation Specify sensor types (e.g., strain gauges, accelerometers, fiber optics, etc.) and their locations. Design data acquisition and transmission systems (wired/wireless/cloud-based). Coordinate installation and commissioning of SHM systems 3. Data Analysis & Interpretation Visualization tools (e.g., dashboards) Human-machine interface (HMI) Software development 4. Collaboration Liaise with civil/structural engineers, IT specialists, and stakeholders. Work closely with contractors during the construction phase to integrate SHM. 5. R&D and Innovation Design the overall architecture Define hardware and software interfaces Team Collaboration Design and develop hardware components Select appropriate sensors, controllers, and processors. Work with firmware and software teams to integrate hardware. Develop software to interface with hardware components. Implement data processing algorithms. Maintain system software and ensure performance. Develop low-level firmware for embedded systems. Integrate hardware with software systems. Optimize firmware for performance and stability. Design and execute test plans Perform unit, integration, and system testing. Debug and troubleshoot issues in collaboration with developers. Oversee the project lifecycle from planning to delivery. Manage timelines, resources, and team coordination. Ensure compliance with requirements and standards. Create and maintain all technical documentation for the DAS. Work closely with engineers to produce manuals, user guides, and installation instructions. Product evaluation and selection Develop and execute test plans Ensure documentation Experience Requirements Technical Tools: MATLAB / Python / LabVIEW etc. Sensors & Hardware: 2D Inclinometer , 1D Cable Accelerometer, Ultrasonic Anemometer, Air Temperature and Humidity sensor, Structural Temperature sensor, Electromagnetic Force Sensor, Foil Type strain gauge, Vibrating wire strain gauge, Pressure sensor, Displacement sensors, Corrosion sensor, GPS, Traffic Analyzer, weigh in motion sensor Data Analysis: Visualization tools (e.g., dashboards), Human-machine interface (HMI), Software development Technical Qualification B.Tech/B.E. in Electrical & Electronics Communication/ Instrumentation General Requirements (Competencies) Good communication skills Collaboration in a team environment Not a frequent Job changer Cultural Fit Years of experience: Minimum 10 years Job Type: Full-time Pay: ₹60,000.00 - ₹120,000.00 per month Schedule: Day shift Education: Secondary(10th Pass) (Preferred) Experience: Bridges construction: 10 years (Required) Structural Health Monitoring: 10 years (Required) Language: Bengali (Required) Work Location: In person

Job Responsibilities 1. Design and implement data-driven applications using Python, MySQL, Power BI, Excel, and JavaScript to support real-time decision-making and enhance process efficiency. 2. Develop and simulate control system models using MATLAB/Simulink for system validation, optimization, and predictive algorithm deployment. 3. Program, integrate, and test industrial control systems using CODESYS, ensuring robust and reliable performance in automated manufacturing environments. 4. Contribute to the development and testing of MEMS sensor-based systems for industrial applications. 5. Collaborate on computer vision and IIoT projects to enhance machine intelligence and smart factory capabilities (Industry 4.0). 6. Ensure adherence to industry standards (ISO 9000/14000/18000, SIL, ANSI, ATEX, IEC 61131-3, NFPA). 7. Conduct rigorous sensor testing and validation, and support integration with RTOS and real-time communication protocols. 8. Maintain technical documentation and actively contribute to innovation and research initiatives. 9. Embedded Systems & Microcontrollers (Arduino, PIC,Circuit Design & PCB Layout (Altium, KiCad, OrCAD, Eagle) 10. Power Electronics & Electrical Testing (Load testing, insulation resistance, high-voltage testing) Skills & Traits: · Programming: Python, OOPs, Node-RED, NumPy, Pandas, Matplotlib, OpenCV, Seaborn, JavaScript · Tools & Platforms: MySQL, Power BI, MATLAB Simulink, LabVIEW, CODESYS, Excel · Technical Expertise: Sensor Testing & Validation, RTOS, IIOT, Instrumentation & Control, Drives & Controls · Industry Standards: ISO 9000/14000/18000, SIL, ANSI, ATEX, IEC 61131-3, NFPA · Communication Protocols: I2C, SPI, UART, SERCOS, Profibus, Profinet, Ethernet, Modbus, Fieldbus, OPC UA. Qualification: B.Tech/B.E. /M.Tech in Electronics & Communication, Electrical, Instrumentation, Mechatronics, or Computer Science Engineering Experience: Minimum 3-6 yrs.

To support Cross Asset Strategy team of one of the top global investment banks in day-to-day research - this includes proficiency in excel, good understanding of macroeconomic concepts, working knowledge of any statistical software, econometric modelling, analysing macroeconomic themes and basic report writing skills. Responsibilities: Create and update excel based databases on a regular basis. Gather data from various public sources. Analysis of large datasets to identify patterns & trends. Complete understanding of balance of payments, government financing, debt, FX, international trade, monetary and fiscal policies. Build end to end econometric models using time series methods in Python/Matlab/Eviews. It also includes sound understanding of economic fundamentals and their inter relationship. Monitor and provide support for existing automation projects and review current projects for opportunities that drive improvement in the process. Assist in preparation and publication of weekly, monthly and quarterly deliverables. Keep abreast with important macro-economic news/FX and rates market developments which impact emerging markets. Skillsets/ Competencies: Strong knowledge of financial market and economic fundamentals. Experience in econometric analysis/statistical modelling Advanced excel, charting and PowerPoint skills Experience or skills in Python/ Matlab/ Eviews or other statistical software is highly desirable Excellent quantitative skills and high level of attention to detail and accuracy Working experience of Bloomberg and Haver is preferred Strong written skills, including ability to effectively communicate economic/financial concepts Strong communication skills with proven ability to interact with global clients Roles and Responsibilities To support Cross Asset Strategy team of one of the top global investment banks in day-to-day research - this includes proficiency in excel, good understanding of macroeconomic concepts, working knowledge of any statistical software, econometric modelling, analysing macroeconomic themes and basic report writing skills. Responsibilities: Create and update excel based databases on a regular basis. Gather data from various public sources. Analysis of large datasets to identify patterns & trends. Complete understanding of balance of payments, government financing, debt, FX, international trade, monetary and fiscal policies. Build end to end econometric models using time series methods in Python/Matlab/Eviews. It also includes sound understanding of economic fundamentals and their inter relationship. Monitor and provide support for existing automation projects and review current projects for opportunities that drive improvement in the process. Assist in preparation and publication of weekly, monthly and quarterly deliverables. Keep abreast with important macro-economic news/FX and rates market developments which impact emerging markets. Skillsets/ Competencies: Strong knowledge of financial market and economic fundamentals. Experience in econometric analysis/statistical modelling Advanced excel, charting and PowerPoint skills Experience or skills in Python/ Matlab/ Eviews or other statistical software is highly desirable Excellent quantitative skills and high level of attention to detail and accuracy Working experience of Bloomberg and Haver is preferred Strong written skills, including ability to effectively communicate economic/financial concepts Strong communication skills with proven ability to interact with global clients

Summary Position Summary Jobtitle: ModelRiskManagement– Pricing – Consultant (ASA/SA) About At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk management field. We are business leaders in the risk market and work with a vision to make the world more prosperous, trustworthy, and safe. Our clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their success – and to the strength of the economy and public security. By joining us, you will get to work with diverse teams of professionals who design, manage, and implement risk-centric solutions across a variety of domains. In the process, you will gain exposure to the challenges related to risk management faced in today’s world by organizations across a range of industry sectors and become subject matter experts in those areas. Our professionals help organizations effectively navigate business risks and opportunities – from strategic, reputation, and financial risks to operational, cyber, and regulatory risks – to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries. We use cutting-edge technologies like AI/ML techniques, analytics, and risk process automation (RPA) to solve Deloitte’s clients’ most complex issues. Working in Deloitte US-India offices has the power to redefine your ambitions. The Team We help organizations in their efforts to achieve regulatory and legal compliance and transform their departments to add greater value to the business. We combine highly specialized skills in discovery and data management, corporate investigations, Foreign Corrupt Practices Act, and anti-fraud with financial acumen and advanced analytics to produce transformative insights. Within Deloitte, Model Risk Management (MRM) is one of the services we offer to our clients where we help them manage their risks around model usage. The team is comprised of professionals with diverse backgrounds, including Masters in Statistics, Mathematics, Physics, Finance, Financial Engineering and PhDs in various quantitative fields, etc. Our team is focused on qualitative assessment and quantitative modeling in the areas of Market Risk, Credit Risk, Operational Risk, Liquidity Risk, Fraud Risk as per regulatory guidelines like CCAR/Stress Testing, BASEL II.5 / III in US and CRD IV/CRR in EMEA regulations. The team also does valuation of complex financial products such as derivatives and structured products. Our value proposition includes industry, financial accounting and business process knowledge, proven methodologies that include risk and control concepts, deep expertise in advanced quantitative, data extraction, data mining and analytical skills. Workyou’ll do The key job responsibilities will be to: Workonconsultingprojectsrelatedtofinancialinstrumentmodeling,modelreview,securities pricing, and risk management including support for regulatory compliance. Developorvalidateequity,FX,andhybridbasedexoticpricingmodelswithafocusonconceptual assessment and assumptions testing. PerformquantitativeanalysisfocusedonProfitAttributionAnalysis(PAA),StressTestingandNon- modellable Risk Factors (NMRFs) for the models being validated. Assessvaluationmethodologyforfixedincomeinstrumentsandderivativesoninterestrates, foreign exchange, equity, and credit. Design,implementandcritiqueoncalibrationsofparametrizedvaluationmodelssuchasBlack Scholes, Hull & White, SABR, Heston, etc. Assess IPV methodology for external clients covering products across all asset classes. AssistclientinAdvisoryprojectsaroundtheevolvingissuese.g.,XVA,IBORTransition,etc.that affect the valuation of derivatives and structured products. Required Skills Familiarity with valuation of fixed income instruments, derivatives on interest rates, foreign exchange, equity, and credit. Understanding of financial derivatives , stochastic calculus, and numerical techniques for derivatives pricing (Monte Carlo / Finite Difference). Familiarity with various quantitative measures related to Market Risk (e.g., VaR, Expected Shortfall, etc.) and Counterparty Credit Risk (e.g., Expected Exposure, Expected Potential Exposure, etc.) 1-4yearsofexperiencewithquantitative analysis technical tools such as Python, R, MATLAB, SAS, etc. Familiarity with tools like Bloomberg, Refinitiv, Murex, etc. is a plus. ExperienceinmodelvalidationlikeAssetLiabilityManagement,EconomicCapitalModels,etc.isa plus. Understanding of financial regulations (like FRTB), products or financial processes is a plus Abilitytoexplaindifficultfinancialmodeling/valuationconceptstodiverseaudiencesandtoexperts at various clients. Related bank/ consulting experience is a plus. Preferred Skills Certifications: CFA / FRM / CQF Experience in programming languages such as Python or R Qualification Masters in Stats / Maths / Physics/ Economics / Quantitative Finance MBA with Finance major PhD in an advanced quantitative subject is a plus. How You Will Grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you . Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte . Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world . Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303620

Key Job Responsibilities Candidate will be responsible for:- Automotive Radar Sensors integration- Electromagnetic (EM) Simulations- Understanding new Radar Signal Processing- Electromagnetic modeling of RADAR sensors inside the Vehicle- Analyze Vehicle Integration effects of sensor packaging and identify solutions- Creating various meshed models for multiple observations- Training new team members- Project Tracking- Working in global interdisciplinary teams- Reports and presentation preparation of Simulation resultsEligibility Criteria Requirements:- Degree in Engineering/Technology or Postgraduate degree in Physics from reputed universities- FMCW, Radar Signal Losses- Sound knowledge of MATLAB/C++, SIMULINK/LABVIEW- Knowledge of analytical EM modeling and Experience on 3D EM simulation tools like FEKO, HFSS, CST etc.- Experience on antenna design, hardware development, and test- Experience with design for manufacturer of precision microwave assemblies that use high volume manufacturing technologies- Experience working in an interdisciplinary environment- Hands-on design experience through laboratory testing, system measurements, and troubleshooting skills Preferences:- German Language- Masters Degree in Electronics/Electrical Engineering + Experience of 2-10 Yrs- Experience of working on RADAR sensor design, simulation and measurement- Antenna software skills, Circuit design, RF components experience- Experience of working with/in OEM- Experience of working in International Environment- Knowledge of Radar Cross-section estimation/Radar Clutter Simulation/Multi-target multi sensor simulationQualifications - Internal Job Title : Radar RF Integration and Simulation EngineerJob Location : BangaloreKey Job ResponsibilitiesCandidate will be responsible for:- Automotive Radar Sensors integration- Electromagnetic (EM) Simulations- Understanding new Radar Signal Processing- Electromagnetic modeling of RADAR sensors inside the Vehicle- Analyze Vehicle Integration effects of sensor packaging and identify solutions- Creating various meshed models for multiple observations- Training new team members- Project Tracking- Working in global interdisciplinary teams- Reports and presentation preparation of Simulation resultsEligibility CriteriaRequirements:- Degree in Engineering/Technology or Postgraduate degree in Physics from reputed universities- FMCW, Radar Signal Losses- Sound knowledge of MATLAB/C++, SIMULINK/LABVIEW- Knowledge of analytical EM modeling and Experience on 3D EM simulation tools like FEKO, HFSS, CST etc.- Experience on antenna design, hardware development, and test- Experience with design for manufacturer of precision microwave assemblies that use high volume manufacturing technologies- Experience working in an interdisciplinary environment- Hands-on design experience through laboratory testing, system measurements, and troubleshooting skillsPreferences:- German Language- Masters Degree in Electronics/Electrical Engineering

About Us: MEAtec is a fast-growing deep tech company developing AI-driven battery analytics, digital battery passport solutions, second-life decision-making tools, lifecycle management platforms, and edge-to-cloud BMS technologies for electric vehicles and energy storage systems. With a strong focus on sustainability and the circular economy, we collaborate with leading academics, industry partners, and international organizations to advance battery intelligence and next-generation mobility across Europe and beyond. Position Overview: We are seeking a Battery Modelling Engineer to support our growing R&D initiatives. This is an excellent opportunity for students or recent graduates to gain exposure to industrial-scale battery modelling, AI-integrated solutions, and cutting-edge simulation tools. Key Responsibilities: Assist in the research, development, and enhancement of physics-based and data-driven battery models for various chemistries (e.g., LFP, NMC). Develop and validate Equivalent Circuit Models (ECM) through advanced parameterization and optimization techniques. Support the design and optimization of state estimation algorithms such as Extended Kalman Filters (EKF) for SOC, SOH, and RUL prediction. Analyze experimental and simulated data to validate models against lab results. Contribute to modelling of battery degradation phenomena like SEI growth, lithium plating, and thermal behavior. Implement battery simulation and analysis using tools such as MATLAB/Simulink, and Python. Document methodologies, findings, and recommendations in clear technical reports and presentations. Collaborate cross-functionally with data scientists, software engineers, and hardware teams to integrate models into BMS platforms. Qualifications: A degree in Electrical Engineering, Electrochemistry, Physics, Materials Science, Mechanical Engineering, or a related field. Understanding of battery electrochemistry, thermal dynamics, and degradation mechanisms. Knowledge of ECM development, EKF algorithms, and state estimation principles. Proficiency in Python programming; experience with MATLAB/Simulink is a plus. Experience in fields related to battery simulation frameworks (e.g., PyBaMM) or multiphysics software such as COMSOL is advantageous. Familiarity with data analysis techniques and statistical modelling. Strong problem-solving mindset and analytical thinking. Excellent verbal and written communication skills in English (C1 level or higher). Demonstrated interest in battery technologies, energy storage systems, or electric mobility solutions. Excellent communication and presentation skills in English. What We Offer:  A hands-on, immersive experience in a cutting-edge R&D environment. Mentorship from experienced battery modeling and simulation professionals. Opportunity to work on real-world projects with meaningful outcomes. Flexible work schedule and a collaborative team culture. A chance to be part of a mission-driven company shaping the future of battery intelligence.

As a Machine Learning Engineer, you will utilize your expertise to contribute to the development of a world-leading capability in the domain of machine learning. Your responsibilities will involve participating in the design, development, deployment, testing, maintenance, and enhancement of machine learning software solutions. You will be tasked with applying machine learning, deep learning, and signal processing techniques to large datasets such as audio, sensors, images, videos, and text in order to develop models. Additionally, you will be responsible for architecting large-scale data analytics and modeling systems, designing and programming machine learning methods, and integrating them into the ML framework and pipeline. Collaboration with data scientists and analysts to support the development of ML data pipelines, platforms, and infrastructure will be a key aspect of your role. You will also evaluate and validate analysis using statistical methods and present findings in a clear manner to individuals not well-versed in the fields of data science and computer science. Furthermore, you will create microservices and APIs for serving ML models and services, evaluate new machine learning methods for adoption, and conduct feature engineering to enhance model performance. Your background should include knowledge of recent advances in machine learning, deep learning, natural language processing, and image/signal/video processing, with at least 5 years of professional experience in real-world applications. Strong programming skills in languages such as Python, Pytorch, MATLAB, C/C++, and Java, along with familiarity with software engineering concepts like OOP and design patterns, are essential. Proficiency in machine learning libraries such as TensorFlow, Keras, scikit-learn, and PyTorch is required. Additionally, you should possess excellent mathematical abilities, including expertise in accuracy, significance tests, visualization, and advanced probability concepts. Experience in architecting and implementing end-to-end solutions for accelerating experimentation and model building is highly desirable. A working knowledge of various machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and the ability to conduct independent and collaborative research are crucial for success in this role. Strong written and verbal communication skills are also important. Candidates with a B.E./B.Tech./B.S. degree and at least 3 years of experience in machine learning, deep learning, natural language processing, or image/signal processing will be considered. Preferably, candidates with an M.E./M.S./M.Tech./PhD in fields related to Computer Science and experience in machine learning, image and signal processing, or statistics are preferred for this position.,