Communication Skills Jobs in Hyderabad

Scrum Master

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and experienced Scrum Master to join our dynamic team in Pune. This role is crucial for ensuring the successful delivery of high-quality software solutions through the effective application of Agile principles and practices. The ideal candidate will possess a strong understanding of the software development lifecycle and a proven ability to facilitate Scrum events and remove impediments for development teams. Key Responsibilities The Scrum Master will be responsible for guiding and coaching development teams on the use of Scrum , ensuring they adhere to Agile values and principles. This includes facilitating Scrum ceremonies, such as sprint planning, daily Scrum , sprint review, and sprint retrospective. The role also involves identifying and removing impediments that hinder the team's progress, fostering a collaborative and self-organizing environment. Required Skills & Qualifications Understanding of Software Development Lifecycle (SDLC): A comprehensive understanding of the various phases of the software development lifecycle, from inception to deployment and maintenance. Agile Engineering Practices: Demonstrated proficiency in Agile methodologies, particularly Scrum , and the ability to coach teams on their effective implementation. Common Engineering Workflows: Familiarity with standard engineering workflows, including version control, code review, and continuous integration. Web Application Technologies: Knowledge of technologies used in web application development, including Angular . Mobile Application Technologies: Understanding of technologies used in mobile application development. Desktop Application Technologies: Understanding of technologies used in desktop application development, including C# , .NET , and WPF . Ability to Work with Technical Leads: Proven ability to collaborate effectively with technical leads to ensure alignment on technical direction and execution. DevOps Tools & Workflows: Experience with DevOps tools and workflows, including CI/CD . Backlog Tools: Proficiency in using Backlog tools such as Jira and Azure Boards to manage product and sprint backlogs. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly and concisely convey technical information to both technical and non-technical audiences. English: Fluency in English, both written and spoken. Estimation, Dependencies, Risks: Ability to facilitate discussions and guide teams in estimating tasks, identifying dependencies, and assessing risks. Metrics: Understanding of key Scrum metrics, including Velocity , Burndown , and Flow Efficiency . Scrum Artifacts: Deep understanding of Scrum artifacts, including the Product Backlog , Sprint Backlog , and Increment . Technical Execution & Craftsmanship: Appreciation for Technical Craftsmanship principles, Clean Code , and Maintainability . Testing Approach & System Stability: Understanding of testing approaches and their impact on System Stability . System Integration Concepts: Knowledge of API and Cloud concepts and System Integration concepts. Experience Required: The ideal candidate will have 4-6 years of experience in a related role, demonstrating a solid foundation in software development and Agile practices. This level of experience is expected to provide a strong understanding of team dynamics and the ability to effectively facilitate Scrum events and remove impediments. What We Offer Salary:

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and motivated AI Build Engineer to join our growing team. This role will focus on building, deploying, and maintaining robust and scalable AI solutions. The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging cutting-edge AI technologies. Key Responsibilities The AI Build Engineer will be responsible for the following: Developing and implementing AI models and applications using various programming languages and frameworks. Building and maintaining robust CI/CD pipelines for automated testing, building, and deployment of AI models. Ensuring the quality and reliability of AI solutions through rigorous testing and monitoring . Collaborating with cross-functional teams to define, design, and ship new features. Implementing and maintaining governance policies for AI models. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in programming languages including Python , JavaScript , TypeScript , and C# . Experience with large language models ( LLMs ) and related techniques such as RAG (Retrieval Augmented Generation) and Prompt Engineering . Solid understanding of vector databases and their application in AI systems. Familiarity with Agentic AI concepts and implementation. Experience with Model Context Protocol (MCP) . Experience with testing frameworks such as Playwright . Experience with frameworks such as LangChain and LangGraph . Experience with cloud-based AI services including Azure OpenAI , AWS Bedrock , and Azure AI Services , and Vertex AI . Strong experience with containerization technologies such as Docker and orchestration platforms like Kubernetes . Experience with version control systems such as GitHub Actions and Azure DevOps . Knowledge of MLOps principles and practices. Familiarity with AI copilots and Autonomous agents . Experience with AI-infused testing solutions . Understanding of API design and development. Experience building Microservices architectures. Strong Analytical Skills , Problem-Solving Skills , and Communication Skills . Experience Required: 5 - 10 years of experience in software engineering with a focus on AI/ML. This level of experience indicates a seasoned professional capable of independently designing, developing, and deploying complex AI solutions. The candidate should be comfortable working in a fast-paced environment and collaborating with a diverse team of engineers and researchers. What We Offer Salary:

Senior Engineer_Loads Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and motivated Senior Engineer to join our growing team. This role is ideal for a seasoned professional with a strong background in automotive or technology, possessing a blend of analytical expertise and practical engineering experience. The successful candidate will contribute to challenging projects, leveraging their technical skills to solve complex problems and drive innovation. Key Responsibilities While specific responsibilities will evolve with project needs, the Senior Engineer will be expected to contribute to a range of engineering tasks, demonstrating initiative and a commitment to delivering high-quality results. This includes applying engineering principles to analyze and solve problems, documenting findings clearly and concisely, and collaborating effectively with cross-functional teams. Required Skills & Qualifications Education: A PhD , M.E/ M.Tech , or B.E/ B.Tech degree in Automobile , Mechanical , or Design Engineering is required. Experience: 3-5 years of relevant professional experience is expected, demonstrating a solid foundation in engineering principles and practical application. This level of experience indicates the ability to work independently, contribute to team goals, and mentor junior engineers. Software Proficiency: Demonstrated expertise in the following software and tools: Adams/View : Proficient in utilizing Adams/View for multi-body dynamics simulation and analysis. Adams/Car : Experience with Adams/Car for vehicle dynamics simulation and modeling. Insight : Ability to leverage Insight for post-processing and visualization of simulation results. Motion View : Familiarity with Motion View for visualizing and analyzing motion data. Hypergraph : Skilled in using Hypergraph for data analysis and visualization. NASTRAN : Experience with NASTRAN for finite element analysis. MATLAB : Proficient in using MATLAB for numerical computation and simulation. Simulink : Skilled in utilizing Simulink for dynamic system modeling and simulation. Adams Command Language : Ability to use Adams Command Language for scripting and automation. Python : Programming skills in Python for data analysis and automation. Linux : Familiarity with Linux operating systems for engineering tasks. Engineering Knowledge: Strong understanding of the following engineering principles: K&C : Knowledge of Kinematics and Compliance analysis. vRLDA : Experience with virtual reality load data analysis. Durability Loads Calculations : Ability to perform durability load calculations. Vehicle Dynamics : Solid understanding of vehicle dynamics principles. Analytical & Problem-Solving Skills: Exceptional Analytical Skills and Problem-Solving Skills to identify, analyze, and resolve complex engineering challenges. Communication & Interpersonal Skills: Excellent Communication Skills , both written and verbal, to effectively communicate technical information to a variety of audiences. Organizational & Management Skills: Strong Organization and Planning skills to manage multiple tasks and prioritize effectively. Program Management experience is a plus. Documentation Skills: Ability to produce clear and concise Technical Writing for reports and documentation. Presentation Skills: Ability to deliver engaging and informative Presentations . Software Suite: Proficiency in MS Office suite, including Excel , PowerPoint , and Word . What We Offer Salary:

Test Architect – Functional, Automation & Performance Testing

SACHA Engineering•

Bengaluru

+4 More

Other Locations4 cities

Mumbai

Pune

Chennai

Hyderabad

•full time

Job Summary We are seeking a highly skilled and experienced Test Architect to join our team. This role will focus on developing and implementing comprehensive testing strategies encompassing functional, automation, and performance testing. The ideal candidate will possess a strong understanding of quality engineering principles and a proven ability to design and execute effective testing frameworks. Key Responsibilities The Test Architect will be responsible for the design, implementation, and maintenance of testing strategies and frameworks. This includes defining quality gates, establishing metrics, and ensuring adherence to best practices. The role will also involve collaboration with cross-functional teams to ensure the delivery of high-quality software releases. Required Skills & Qualifications Test Strategy: Demonstrated ability to develop and execute comprehensive test strategies aligned with business objectives and project requirements. Quality Engineering Architecture: Expertise in designing and implementing quality engineering architectures that support scalable and reliable testing processes. Functional Testing: Proficient in functional testing methodologies to ensure software meets specified requirements. Regression Testing: Experience in designing and executing regression testing suites to identify and prevent regressions. Automation Testing: Strong skills in automation testing, including the ability to design, develop, and maintain automated test scripts. API Testing: Knowledge of API testing techniques to validate the functionality and performance of APIs. Integration Testing: Experience in integration testing to ensure seamless integration between different software components. Performance Testing: Expertise in performance testing methodologies to identify and address performance bottlenecks. Non-Functional Testing: Understanding of non-functional testing aspects, including security, usability, and reliability. CI/CD Integration: Experience integrating testing processes into CI/CD pipelines. Performance Engineering: Ability to apply performance engineering principles to optimize software performance. Quality Gates: Ability to define and implement quality gates to ensure release quality. Metrics & Reporting: Experience in defining and tracking key testing metrics and generating comprehensive reports. Best Practices: Deep understanding of software testing best practices. Automation Frameworks: Experience with various Automation Frameworks . Reusability & Maintainability: Ability to design test automation frameworks with a focus on reusability and maintainability. Service Virtualization: Knowledge of Service Virtualization techniques for creating realistic testing environments. AI-Assisted Testing: Familiarity with AI-Assisted Testing concepts and tools. QE Practices: Strong understanding of QE Practices . Defect Prevention: Ability to identify and implement strategies for defect prevention. Release Quality: Commitment to ensuring high-quality software releases. Analytical Skills: Strong analytical skills to analyze test results and identify root causes of defects. Problem-Solving Skills: Excellent problem-solving skills to effectively troubleshoot and resolve testing issues. Communication Skills: Effective communication skills to clearly and concisely communicate testing results and recommendations. Test Architect: Demonstrated experience and expertise as a Test Architect . Experience Required: 9 - 16 years of experience in software testing, with a focus on test architecture and design. This level of seniority requires a proven track record of leading testing initiatives and mentoring junior team members. What We Offer Salary: 30 LPA

Teamcenter Integration Lead

RLE India Private Limited•

Remote

•full time

Job Summary We are seeking a highly skilled and experienced Teamcenter Integration Lead to join our team. This role will be responsible for leading integration efforts related to Teamcenter and ensuring seamless integration with other enterprise systems. The ideal candidate will possess a strong understanding of Teamcenter Architecture , coupled with extensive experience in integration and deployment. Key Responsibilities The Teamcenter Integration Lead will be responsible for the following: Leading and executing Integration Reconfiguration and Integration Deployments for Teamcenter and related systems. Performing Root Cause Analysis to identify and resolve integration issues. Managing Release Management processes to ensure smooth and controlled deployments. Collaborating with cross-functional teams to ensure alignment and successful integration of systems. Required Skills & Qualifications The ideal candidate will possess the following skills and qualifications: Deep understanding of Teamcenter Architecture , including its components and integration points. Proficiency in 10+ years of experience in Java development and its application to integration projects. Proven experience with CAD Integrations , including proficiency with Creo , NX , and SolidWorks . Strong experience integrating with ERP systems, specifically SAP , Oracle , and others. Exceptional Problem-Solving Skills , with the ability to analyze complex issues and develop effective solutions. Excellent Communication Skills , both written and verbal, to effectively communicate technical concepts to both technical and non-technical audiences. Experience Required: 10 - 10 years of experience in a related field, demonstrating a high level of seniority and expertise in integration and deployment of complex systems. This includes a proven track record of successfully leading integration projects from inception to completion. What We Offer Salary:

SAP Ariba

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a skilled and motivated SAP Ariba professional to join our team. This is an onsite position within the IT / Technology industry. Key Responsibilities This role will be responsible for various tasks related to SAP Ariba , leveraging expertise in procurement and P2P processes. Specific responsibilities will be defined upon onboarding. Required Skills & Qualifications SAP : Demonstrated proficiency in the SAP ecosystem. Ariba : Extensive experience with the Ariba platform, including configuration and support. S4 Hana : Familiarity with S4 Hana and its integration with Ariba . WERS : Knowledge of WERS (Web Enterprise Reporting System) for reporting and analytics. GCP : Understanding of GCP (Google Cloud Platform) and its potential applications within the SAP Ariba environment. WIPS : Experience with WIPS (Web Interface Procurement System) functionalities. Excel : Advanced proficiency in Excel for data analysis and reporting. Analytical Skills: Strong analytical skills to interpret data, identify trends, and propose solutions. Problem-Solving Skills: Proven ability to diagnose and resolve complex issues related to SAP Ariba processes. Communication Skills: Excellent communication skills, both written and verbal, to effectively communicate with stakeholders at all levels. Procurement: Solid understanding of procurement principles and best practices. P2P: Expertise in the Procure-to-Pay (P2P) process, from requisition to payment. Purchase Requisition: Experience managing and processing purchase requisitions within the Ariba system. Qualifications : A Bachelor of Engineering / Bachelor of Technology or a Master of Business Administration is required. Experience Required : We are seeking candidates with 2 - 5 years of relevant experience. This level of experience indicates a level of proficiency and the ability to work independently while contributing to a team environment. What We Offer Salary : 3 LPA - 5 LPA

Sourcing Buyer

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a skilled and experienced Sourcing Buyer to join our Procurement team. This role will be responsible for sourcing and procuring materials and services, ensuring cost-effectiveness, and maintaining strong supplier relationships. The ideal candidate will possess a strong analytical background and a proven ability to negotiate favorable terms and conditions. Key Responsibilities The Sourcing Buyer will be responsible for a range of tasks including, but not limited to, managing the RFQ and RFP processes, generating Purchase Orders , and conducting thorough Supplier Evaluation and Supplier Selection . They will also be expected to identify opportunities for Cost Reduction and contribute to Supplier Development initiatives. Required Skills & Qualifications Analytical Skills: Demonstrated ability to analyze data, identify trends, and make data-driven decisions to optimize sourcing strategies. Problem-Solving Skills: A proactive approach to identifying and resolving sourcing challenges, with a focus on finding creative and effective solutions. Communication Skills: Excellent written and verbal communication skills to effectively interact with internal stakeholders and external suppliers. Negotiation: Proven ability to negotiate favorable terms and conditions with suppliers, securing optimal pricing and quality. Commercial Skills: A strong understanding of commercial principles and practices, including Incoterms , Commercial Terms , and Legal Terms . RFQ/RFP Management: Experience managing the full cycle of RFQ (Request for Quotation) and RFP (Request for Proposal) processes. Purchase Order Management: Proficiency in generating and managing Purchase Order documentation. Cost Breakdown Analysis: Ability to analyze Cost Breakdown structures to identify cost drivers and opportunities for improvement. Supplier Evaluation & Selection: Experience in conducting thorough Supplier Evaluation and Supplier Selection processes. Cost Reduction Initiatives: A track record of identifying and implementing Cost Reduction initiatives. Supplier Development: Ability to contribute to Supplier Development programs to improve supplier performance. Stakeholder Management: Strong Stakeholder-Management Skills to effectively collaborate with internal teams. Technical Proficiency: Proficiency in MS Excel for data analysis and reporting. ERP Systems: Experience working with ERP Systems , including SAP , Oracle , and NetSuite . Supplier Management: Proven ability to manage and maintain strong supplier relationships. NPD and Localization experience is a plus. Alternate Supplier Development experience is a plus. VA/VE experience is a plus. Raw Material Price Movements and Indices understanding. Supply Base Acumen . Familiarity with the Automotive and Aerospace industries. Knowledge of Precision Machined Parts , Sliding Heads , VMC , and HMC . Understanding of Post Treatment Processes , including Heat Treatment , Plating , and Coating . Experience with Castings , SGI , PDC , GI , and Aluminium Housings . Knowledge of Machining , Fasteners , and Plastics . Understanding of Injection Molding Processes . Experience with Cost Models . Familiarity with High Speed Stampings , Electrical Parts , PCB , and Wiring Harnesses . Qualifications: A Bachelor’s degree in Engineering with a Post Graduate Degree in Procurement , Business Administration , or a related field is required. What We Offer Experience Required: We are seeking candidates with 4 - 8 years of relevant experience. This level of experience indicates a readiness to assume a mid-level role with increasing responsibility within the sourcing function. Salary:

Google Cloud Engineer - SSE

SACHA Engineering•

Bengaluru

+3 More

Other Locations3 cities

Pune

Chennai

Hyderabad

•full time

Job Summary We are seeking a highly skilled and motivated Google Cloud Engineer - SSE to join our growing team. This is a hybrid role requiring a blend of hands-on technical expertise and collaborative teamwork. The ideal candidate will possess a strong foundation in cloud technologies, particularly within the Google Cloud Platform , and a proven ability to design, implement, and maintain robust and scalable cloud solutions. Key Responsibilities The Google Cloud Engineer - SSE will be responsible for a range of tasks related to the design, implementation, and maintenance of our Google Cloud infrastructure. This includes automating infrastructure provisioning, optimizing cloud resources for cost and performance, and ensuring the reliability and security of our cloud-based applications and services. Required Skills & Qualifications Education: A Bachelor’s degree in computer science or a related field, or a higher degree, is required. A minimum of 3 years of relevant experience is expected. Experience: 6 - 10 years of experience in a related field is required. This level of experience indicates a strong understanding of cloud technologies and a proven ability to work independently and as part of a team. DevOps: Demonstrated proficiency in DevOps principles and practices, with a focus on automation and continuous delivery. Google Kubernetes Engine (GKE): Extensive experience with GKE , including cluster configuration, deployment, and management. Infrastructure-as-Code: Strong understanding and practical experience with Infrastructure-as-Code methodologies and tools. Terraform: Expertise in using Terraform to provision and manage Google Cloud resources. Deployment Manager: Familiarity with Deployment Manager for automated deployment of Google Cloud resources. CI/CD: Deep understanding of CI/CD pipelines and experience with tools such as Cloud Build , Jenkins , and GitHub Actions . Kubernetes: Solid foundation in Kubernetes concepts, including Deployments , Services , and Autoscaling . Programming/Scripting: Proficiency in Python and Bash scripting for automation and system administration tasks. Version Control: Experience with GitOps principles and tools like ArgoCD and Helm . Cloud Governance: Knowledge of Cloud Governance best practices and experience implementing policies and controls. Cost Management: Ability to analyze and optimize Cloud costs, ensuring efficient resource utilization. Compliance: Understanding of Compliance requirements and experience implementing security measures to meet regulatory standards. Cloud Migration: Experience with Cloud Migration strategies and methodologies. System Reliability: Strong focus on System Reliability and experience designing and implementing highly available and resilient systems. High Availability & Redundancy: Expertise in designing for High Availability and Redundancy . Backup Strategies: Experience developing and implementing effective Backup Strategies . Proactive Monitoring: Ability to implement Proactive Monitoring solutions to identify and address potential issues before they impact users. Process Efficiencies: A commitment to identifying and implementing Process Efficiencies to improve operational effectiveness. Analytical Skills: Strong Analytical Skills for problem-solving and data-driven decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills with the ability to troubleshoot complex technical issues. Communication Skills: Effective Communication Skills for collaborating with cross-functional teams and communicating technical concepts to both technical and non-technical audiences. Teamwork: Demonstrated ability to work effectively as part of a Teamwork environment. What We Offer Salary: ₹15 LPA - ₹20 LPA

Energy Management- Project Performance Engineer

RLE India Private Limited•

Pune

•full time

Key Responsibilities The responsibilities of this role will encompass a broad range of tasks related to vehicle performance and energy management, requiring a proactive and detail-oriented approach. Required Skills & Qualifications To be successful in this role, candidates must possess a strong foundation in automotive engineering principles and a proven ability to apply their skills to real-world challenges. The following skills and qualifications are essential: Education: A Bachelor’s/ master’s degree in the Mechanical or Automotive domain is required. Experience: 6 - 9 years of relevant experience are expected, demonstrating a senior level of expertise and the ability to lead and mentor others. Energy Management: Demonstrated expertise in energy management principles and their application to automotive systems. Vehicle Performance: A thorough understanding of vehicle performance characteristics and the ability to optimize performance through various engineering techniques. CO2 & Fuel Consumption: Knowledge of CO2 emissions and fuel consumption optimization strategies. Electric Range: Understanding of factors influencing electric range and methods for maximizing range in electric vehicles. Functional Synthesis: Ability to perform functional synthesis to integrate various vehicle systems effectively. Attribute Management: Experience in attribute management, ensuring vehicle attributes meet target specifications. Technical Scorecard: Proficiency in developing and utilizing technical scorecards to track progress and identify areas for improvement. DVP&R: Familiarity with the Design Verification and Planning (DVP&R) process. Homologation: Understanding of homologation requirements and procedures. Coast Down: Knowledge of coast-down testing and analysis. Emission Test Cycles: Experience with emission test cycles and their interpretation. Vehicle Simulation: Ability to utilize vehicle simulation tools for performance analysis and optimization. Powertrain: A strong understanding of powertrain systems and their impact on vehicle performance. Calibration: Experience in powertrain calibration techniques. Weights: Knowledge of vehicle weight management and its impact on performance. Benchmarking: Ability to conduct benchmarking studies to identify best practices and competitive advantages. Issue Tracking: Proficiency in issue tracking and resolution. Milestone Governance: Experience in milestone governance and project management. Management Reporting: Ability to prepare and present management reports. Microsoft Suite: Proficiency in Microsoft Suite , including PowerPoint , Excel (including Macros ), and Word . Power BI: Experience with Power BI for data visualization and analysis. AI Technology: Basic understanding of AI Technology and its potential applications in automotive engineering. Analytical Skills: Strong analytical skills with the ability to interpret data and draw meaningful conclusions. Problem-Solving Skills: Excellent problem-solving skills with a demonstrated ability to identify and resolve complex issues. Communication Skills: Exceptional communication skills, both written and verbal, with the ability to effectively communicate technical information to both technical and non-technical audiences. Leadership: Demonstrated leadership qualities with the ability to motivate and inspire others. Responsibility: A strong sense of responsibility and accountability. Networking: Ability to build and maintain strong professional networks. What We Offer We value our employees and offer a competitive compensation package. Salary: