Testing Jobs

Software Engineer (1) - Established Engineer 0

RLE India Private Limited•

Chennai

•Full-time

Software Engineer (1) - Established Engineer 0 Job Summary We are seeking a skilled and experienced Software Engineer to join our team in Chennai. This is an onsite position within the Technology industry. The ideal candidate will possess a strong foundation in Mainframe Systems and a proven ability to deliver high-quality software solutions. Key Responsibilities This role will be responsible for the full software development lifecycle, from initial design and coding to testing, debugging, and delivery. The candidate will collaborate with a team to ensure the successful implementation of Microservices and APIs , while adhering to established Security Practices . Required Skills & Qualifications Mainframe Systems : Demonstrated proficiency in working with Mainframe Systems , including a thorough understanding of their architecture and operational principles. Mainframe DB : Expertise in Mainframe DB management and manipulation, ensuring data integrity and efficient retrieval. DB2 : Strong skills in DB2 database administration and query optimization. COBOL : Solid experience in COBOL coding and maintenance. JCL : Proficiency in JCL for job control and automation. Agile : Familiarity with Agile development methodologies, including sprint planning, daily stand-ups, and retrospectives. Encryption : Understanding of Encryption techniques and their application in securing sensitive data. Anonymization : Knowledge of data Anonymization methods to protect user privacy. User Interface : Ability to design and implement intuitive and user-friendly User Interface elements. APIs : Experience in designing, developing, and integrating APIs for seamless data exchange. Microservices : Understanding of Microservices architecture and its benefits. Testing : Comprehensive Testing skills, including unit, integration, and system testing. Debugging : Strong Debugging skills to identify and resolve software defects efficiently. Coding : Excellent Coding practices and adherence to coding standards. Delivery : Proven ability to manage Delivery timelines and meet project goals. Security Practices : Commitment to implementing and maintaining robust Security Practices . Problem-Solving Skills : Exceptional Problem-Solving Skills to tackle complex technical challenges. Analytical Skills : Strong Analytical Skills to assess data and make informed decisions. Communication Skills : Effective Communication Skills to collaborate with team members and stakeholders. Bachelor's Degree : A Bachelor's Degree is required. Experience Required: The ideal candidate will possess a minimum of 6 - 6 years of relevant experience, demonstrating a solid foundation in software development and a proven ability to work independently and as part of a team. This is an established engineer role, requiring a high degree of autonomy and responsibility. What We Offer Salary:

Dyno Test Engineer

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and motivated Dyno Test Engineer to join our team. This role will be responsible for conducting performance and durability testing on electric motors and motor controllers using dynamometer systems. The ideal candidate will possess a strong understanding of electrical principles, motor testing methodologies, and a commitment to ensuring the quality and reliability of our products. This is an onsite position. Key Responsibilities The Dyno Test Engineer will be responsible for the following: Operating and maintaining dynamometer systems, ensuring accurate and reliable test data. Setting up and configuring test procedures to evaluate the performance and durability of AC/DC motors , BLDC motors, PMSM motors, and Induction Motors . Executing load profiles and analyzing test results to identify potential issues and areas for improvement. Utilizing test automation systems to streamline testing processes and improve efficiency. Troubleshooting and resolving test stand issues, including hardware integration problems and wiring verification . Performing root cause analysis using methodologies such as 8D , Fishbone , and 5Why to address identified issues. Conducting electrical fault finding and sensor diagnosis to ensure accurate test results. Performing necessary repairs and maintenance on test equipment, including PCBA rework , component replacement , soldering , and desoldering . Preparing test setup and ensuring proper wire harness assembly and cable assembly . Required Skills & Qualifications To be considered for this position, candidates must possess the following: A Diploma in Electrical , Electronics , Mechatronics , Mechanical , or a related engineering discipline. 5-8 years of experience in a testing or engineering role, with a focus on motor testing and dynamometer operation. This level of experience indicates a proficiency in independently designing and executing test plans, analyzing data, and troubleshooting complex issues. Proficiency in Dynamometer operation and setup , including the ability to configure and calibrate systems for various testing scenarios. Strong understanding of Motor and inverter testing methodologies, including performance characterization and durability assessment. Experience with Performance and durability testing techniques, including the ability to design and execute tests to evaluate product lifespan and reliability. Familiarity with Test automation systems and the ability to develop and implement automated test procedures. Solid foundation in Power electronics fundamentals , including an understanding of AC/DC motors , BLDC , PMSM , and Induction Motors . Knowledge of Motor controllers and Inverters , including their operation and testing. Commitment to High-voltage safety practices and adherence to safety protocols. Proficiency in performing Electrical measurements and utilizing Instrumentation , including Torque transducers , Speed encoders , Thermocouples , RTDs , Current probes , and Voltage measurement systems . Experience using Oscilloscopes and Power analyzers for data acquisition and analysis. What We Offer The salary for this position is .

Dyno Test Engineer

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a Dyno Test Engineer to join our team in Magarpatta, Pune. This role will be responsible for operating and maintaining dyno and test systems, conducting performance and durability testing, and ensuring the quality and reliability of our products. This is an excellent opportunity for a motivated individual to contribute to a dynamic and growing organization within the Aerospace industry. Key Responsibilities The Dyno Test Engineer will be responsible for a range of tasks related to dyno testing and system maintenance. This includes, but is not limited to, the operation and setup of dynamometers, execution of load profiles, and the performance of various tests to evaluate motor and inverter performance and durability. The role also involves troubleshooting test stand issues, performing root cause analysis, and ensuring adherence to quality management systems and safety protocols. Required Skills & Qualifications Education: A Diploma in Electrical, Electronics, Mechatronics, Mechanical, or a related engineering discipline is required. Dyno & Test Systems: Demonstrated proficiency in the operation and setup of dyno and test systems, including dynamometer operation. Motor and Inverter Testing: Experience with motor and inverter testing methodologies, including performance and durability testing. Load Profile Execution: Ability to execute load profiles accurately and efficiently. Test Automation Systems: Familiarity with test automation systems and their application in testing environments. Data Acquisition Systems (DAQ): Strong understanding of data acquisition systems and their role in data collection and analysis. Electrical Knowledge: A solid foundation in electrical principles, including knowledge of AC/DC motors, BLDC, PMSM, and Induction Motors. Motor Controllers & Inverters: Understanding of motor controllers and inverters, and their role in motor operation. Power Electronics Fundamentals: A working knowledge of power electronics fundamentals. Safety Practices: Strict adherence to high-voltage safety practices and electrical safety protocols. Electrical Measurements & Instrumentation: Proficiency in performing electrical measurements and utilizing various instrumentation techniques. This includes experience with Torque transducers, Speed encoders, Thermocouples, RTDs, Current probes, and Voltage measurement systems. Troubleshooting Skills: Excellent troubleshooting skills, including electrical fault finding and sensor diagnosis. Test Stand Debugging: Ability to effectively debug test stand issues and perform wiring verification. Hardware Integration: Experience in identifying and resolving hardware integration issues. Root Cause Analysis: Ability to perform root cause analysis using methodologies such as 8D, Fishbone, and 5Why. Other Skills: Including Harness preparation, Crimping, Wiring, Connector assembly, Soldering, Desoldering activities, PCBA rework, Repair, SMT, Through-hole components, Component replacement, Soldering/de-soldering techniques, Wire harness preparation, Cable assembly, Test setup preparation, Laboratory equipment configuration. Analytical Skills: Strong analytical skills for data interpretation and problem-solving. Technical Documentation & Report Writing: Ability to create clear and concise technical documentation and reports. ESD Controls & Lab Compliance: Knowledge of ESD controls and lab compliance practices. Data Acquisition Systems: Experience with data acquisition systems, including LabVIEW and NI DAQ systems . CAN Communication: Familiarity with CANanalyzer and CANoe for CAN communication analysis. Data Analysis: Proficiency in Excel data analysis and data logging techniques. Software: Basic software skills for instrumentation interfaces and hands-on experience. Quality Management System: Understanding of quality management system principles. Experience: This position requires no prior experience. We welcome candidates who are eager to learn and develop their skills in a dynamic environment. What We Offer Salary:

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:

electrical & electronic design Engineer

RLE India Private Limited•

Pune

•full time

Electrical & Electronic Design Engineer Job Summary We are seeking a skilled and motivated Electrical & Electronic Design Engineer to join our team within the Aerospace industry. This is an onsite position requiring a strong foundation in electrical and electronic design principles, with a focus on power electronics and embedded systems. The ideal candidate will possess a comprehensive understanding of the hardware development lifecycle and be adept at navigating complex design challenges. Key Responsibilities This role encompasses a wide range of responsibilities throughout the entire hardware development lifecycle, from initial requirements definition to final product validation and certification. You will be responsible for the design, development, verification, and validation of electrical and electronic systems, ensuring adherence to industry standards and rigorous quality control. Required Skills & Qualifications Electrical Design: Demonstrated proficiency in electrical circuit design, including schematic capture and layout. Electronic Design: Expertise in electronic circuit design, encompassing both analog and digital domains. Inverter Design: Experience designing and implementing inverter systems for various applications. Converter Design: Ability to design and optimize converter topologies, including AC-DC and DC-DC converters. Hardware Development Life Cycle: A thorough understanding of the complete hardware development lifecycle, from concept to production. Requirements Management: Skill in defining, documenting, and managing system requirements. Design: Ability to translate requirements into functional and manufacturable designs. Development: Experience in the development of electrical and electronic systems. Verification & Validation (V&V): Expertise in verification and validation methodologies to ensure product quality and reliability. Qualification & Certification Testing: Familiarity with qualification and certification testing procedures. AC-DC & DC-DC Converters: Deep understanding of AC-DC and DC-DC converter principles and applications. Motor Inverters: Experience in the design and implementation of motor inverter systems. Switching Devices & Gate Driver Selection: Knowledge of switching devices and the ability to select appropriate gate drivers. Modulation Techniques: Understanding of various modulation techniques and their application in power electronics. Filter Design: Ability to design and implement filters for signal conditioning and noise reduction. Power Semiconductors: Expertise in Si Power Semiconductors, Silicon Carbide (SiC) Power Semiconductors, and Gallium Nitride (GaN) Power Semiconductors. Power Electronics: Strong foundation in power electronics principles and applications. Analog Circuits: Proficiency in designing and analyzing analog circuits, including Op-Amp, Buffers, and Signal Conditioning circuits. Digital Logic Circuits: Understanding of digital logic circuits and their implementation. Microcontroller-Based Systems: Experience in designing and implementing microcontroller-based systems. Peripheral Interfaces: Knowledge of common peripheral interfaces such as UART, SPI, I2C, and CAN. Communication Interfaces: Experience with communication protocols like Ethernet. Microcontroller, FPGA, Processor: Familiarity with microcontroller, FPGA, and processor architectures. Memory: Understanding of different memory types, including RAM and Flash Memory. Low-Power Operation: Ability to design for low-power operation and optimize energy efficiency. Power Budgeting: Skill in creating and managing power budgets. Energy Efficiency: Commitment to designing energy-efficient systems. FMEA: Experience conducting Failure Mode and Effects Analysis (FMEA). Stress Analysis, Derating, Worst-Case Analysis, Tolerance Study: Ability to perform stress analysis, derating, worst-case analysis, and tolerance studies. DO-160, DO178, DO254, IEC, SAE: Familiarity with relevant industry standards such as DO-160, DO178, DO254, IEC, and SAE. Certification Processes: Understanding of certification processes and requirements. Embedded Design: Experience in embedded system design. PCB Design: Knowledge of printed circuit board (PCB) design principles. EMI/EMC: Understanding of electromagnetic interference (EMI) and electromagnetic compatibility (EMC) considerations. Product Lifecycle Management: Familiarity with product lifecycle management (PLM) principles. Simulation Tools: Proficiency in using simulation tools such as Pspice, Matlab, Simulink, and PLECS. Domain Expertise: Experience in the Automotive Domain, Aero Domain, or Defense Domain. High Power Design: Ability to design for high-power applications. Layout Rules: Knowledge of layout rules for power electronics. EMI/EMC Certification: Experience with EMI and EMC certification processes. Environmental Compliances: Understanding of environmental compliance requirements. CE, E Markings: Familiarity with certifications such as CE and E Markings. Interpersonal Skills: Excellent interpersonal and communication skills. Hardware Design Development: Strong skills in hardware design and development. What We Offer

Hardware Design

RLE India Private Limited•

Bengaluru

•full time

Job Summary We are seeking a highly skilled and experienced Hardware Design professional to join our team. This role will be responsible for the design and development of hardware solutions, ensuring they meet performance, reliability, and manufacturability requirements. The ideal candidate will possess a strong foundation in electrical engineering principles and a proven ability to translate design concepts into functional hardware. Key Responsibilities This role will involve a range of responsibilities related to the design and validation of hardware components and systems. The candidate will be expected to contribute to the entire hardware development lifecycle, from initial concept to production release. Required Skills & Qualifications B.E./B.Tech/B.Sc or M.E./M.Tech/M.Sc in Electrical Engineering : A foundational degree in Electrical Engineering is required, demonstrating a strong understanding of electrical engineering principles and practices. Electrical Engineering : A deep understanding of electrical engineering principles, including circuit theory, electromagnetics, and signal processing, is essential. Hardware Engineering : Demonstrated experience in hardware design and development, with a focus on creating robust and reliable hardware solutions. Schematic Capture : Proficiency in creating detailed and accurate schematics using industry-standard tools, ensuring clear documentation of circuit designs. PCB Layout Design : Expertise in designing printed circuit boards ( PCB s) that optimize signal integrity, thermal management, and manufacturability. Circuit Simulation : Ability to utilize circuit simulation tools to analyze and optimize circuit performance before physical implementation. PCB Design : Comprehensive knowledge of PCB design principles, including layer stack-up, trace routing, and component placement. Testing : Experience in designing and executing hardware testing plans to validate functionality and identify potential issues. Manufacturing : Understanding of manufacturing processes and design for manufacturability (DFM) principles. Problem Solving : Strong analytical and problem-solving skills to effectively troubleshoot hardware issues and identify root causes. Communication Skills : Excellent written and verbal communication skills to effectively collaborate with cross-functional teams. Analytical Skills : Ability to analyze complex data and draw meaningful conclusions to inform design decisions. LTE : Knowledge of Long-Term Evolution ( LTE ) wireless communication standards and their implementation in hardware. Wi-Fi : Familiarity with Wi-Fi wireless communication protocols and their integration into hardware designs. GNSS : Understanding of Global Navigation Satellite Systems ( GNSS ) and their application in hardware solutions. BLE : Experience with Bluetooth Low Energy ( BLE ) technology and its implementation in hardware. CAN : Knowledge of Controller Area Network ( CAN ) communication protocol and its use in automotive and industrial applications. RS-485 : Familiarity with the RS-485 serial communication standard and its application in hardware designs. SPI : Understanding of Serial Peripheral Interface ( SPI ) protocol and its implementation in hardware. I2C : Knowledge of Inter-Integrated Circuit ( I2C ) protocol and its application in hardware designs. Relays : Experience in designing and integrating relay circuits into hardware systems. Power Supply Circuits : Expertise in designing and implementing efficient and reliable power supply circuits. Micro-Controller Design : Experience in designing and integrating micro-controllers into hardware systems. Sensing Circuits : Ability to design and implement circuits for various types of sensors. VCU : Understanding of Vehicle Control Unit ( VCU ) functionality and integration with hardware components. BMS : Knowledge of Battery Management System ( BMS ) principles and their application in hardware designs. Chargers : Experience in designing and implementing charging circuits for various battery types. Power-Train : Familiarity with power-train systems and their integration with hardware components. Instrument Clusters : Understanding of instrument cluster design and integration with hardware components. RCA : Ability to perform Root Cause Analysis ( RCA ) to identify and resolve hardware issues. Experience Required: The ideal candidate will possess a minimum of 10-18 years of relevant experience in hardware design and development. This level of experience indicates a high degree of proficiency and the ability to lead complex hardware projects. What We Offer Salary: Work Mode: Onsite

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 experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes 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 with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .

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 Loads Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and experienced Senior Engineer to join our team in Bangalore. This role is crucial for advancing our engineering capabilities within the automotive industry. The ideal candidate will possess a strong analytical background and a proven ability to solve complex problems related to vehicle dynamics and performance. Key Responsibilities The Senior Engineer will be responsible for a range of tasks including vehicle testing, measurement, and dynamic analysis. They will also be expected to contribute to project management and ensure the successful completion of engineering projects. Required Skills & Qualifications Analytical Skills: Demonstrated ability to analyze complex data, identify trends, and draw meaningful conclusions to support engineering decisions. Problem-Solving Skills: Proven ability to identify, analyze, and resolve complex engineering problems effectively and efficiently. Communication Skills: Excellent written and verbal communication skills to effectively convey technical information to both technical and non-technical audiences. Adams/View: Proficiency in using Adams/View for multi-body dynamics simulation and analysis. Adams/Car: Experience with Adams/Car for vehicle dynamics simulation and analysis. Insight: Familiarity with Insight for performing dynamic simulations. Motion View: Experience with Motion View for visualizing and analyzing motion data. Hypergraph: Ability to utilize Hypergraph for data analysis and visualization. NASTRAN: Experience with NASTRAN for finite element analysis. MATLAB: Proficiency in using MATLAB for numerical computation and simulation. Simulink: Experience with Simulink for dynamic system modeling and simulation. Adams Command Language: Ability to use the Adams Command Language for scripting and automation. Python: Programming skills in Python for data analysis and automation. MS Office: Proficiency in MS Office suite, including Excel , PowerPoint , and Word . Linux: Working knowledge of Linux operating system. Vehicle Testing: Experience in planning and executing Vehicle Testing procedures. Measurement: Ability to perform and interpret Measurement data. DOE: Understanding of DOE (Design of Experiments) principles and application. Dynamic Analysis: Strong understanding of Dynamic Analysis principles. Vibration Fatigue: Knowledge of Vibration Fatigue analysis and mitigation techniques. Project Management: Ability to manage Project Management tasks effectively. Qualifications: A degree in Automobile, Mechanical, or Design Engineering is required. Acceptable degrees include PhD , M.E/M.Tech , or B.E/B.Tech . Experience Required: 3 - 5 years of relevant experience in the automotive industry. What We Offer Salary: