Verified Tech Jobs & Hiring Companies, Updated Every 24 Hours

🎁 Q4 JOINING BONUS Join BGSV by 31 December 2026 and receive a Joining Bonus equivalent to 1 month gross salary , subject to program eligibility and terms & conditions. About the Role We are looking for a Penetration Tester to join our AI Safety & Security team, working hands-on across Bosch's growing portfolio of AI-enabled products and internal tooling — LLM deployments, agentic AI systems, and Model Context Protocol – style tool-calling integrations. Under the direction of the team's Lead AI Safety & Security Engineer, you will execute structured test plans against real systems, covering both whether an AI system behaves safely (does it refuse harmful requests, stay within its intended scope) and whether it is secure (can it be manipulated via prompt injection or tricked into misusing its tools). This is an individual-contributor role on a newly forming team — you'll be running real engagements from day one, not just shadowing them. Key Responsibilities Execute penetration tests and safety evaluations against LLM-based features and AI agents, following test plans and specifications defined by the team lead. Run red-teaming and jailbreak testing to surface harmful, biased, or unsafe model outputs, and document reproducible findings. Test for prompt injection (direct and indirect), excessive agency, and tool/plugin abuse in agentic and MCP-style tool-calling systems. Verify human-in-the-loop and guardrail controls hold up under adversarial conditions, not just in normal use. Write clear, reproducible findings reports — evidence, severity, and a specific recommended fix — that both engineers and governance stakeholders can act on. Help build and maintain test tooling: adversarial-prompt scripts, jailbreak test cases, and MCP/tool-schema fuzzing scripts. Track published AI security research (OWASP LLM and Agentic Top 10s, MITRE ATLAS) and bring new attack techniques into the team's test suite. Work directly with AI/ML engineering teams to reproduce, triage, and confirm fixes for reported findings. Support the team lead in scoping and coordinating external red-teaming/pentest vendor engagements when work is outsourced. Required Qualifications Bachelor's degree in Computer Science, Machine Learning, or a related field. 2–5 years in penetration testing, security testing, or applied AI/ML security work. Hands-on experience testing LLM or agentic AI systems — prompt injection, jailbreaks, or tool/plugin abuse; coursework, CTFs, or independent projects count given how new this field is. Working familiarity with the OWASP Top 10 for LLM Applications and/or OWASP Top 10 for Agentic Applications. Comfortable scripting in Python and/or JavaScript/Node to automate test cases. Clear, precise technical writing for findings reports. Preferred Qualifications Exposure to the Model Context Protocol (MCP) or comparable agent tool-calling frameworks. Traditional penetration testing experience across web, API, or network targets. Familiarity with AI governance concepts (NIST AI RMF, ISO/IEC 42001, EU AI Act). Open-source security tooling contributions, CTF results, or a public research/write-up portfolio. Relevant Certifications (any of the following a plus) Offensive security / penetration testing — OSCP, GPEN, GWAPT, or CEH. AI-specific security — ISC2 AI Security Certificate or Certified AI Security Professional (CAISP). Why BOSCH? Because we do not just follow trends, we create them. Together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work. Benefits and Career Opportunities Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world Join in a dynamic and fast-growing global company ( English-speaking environment), with opportunity to work in global projects and being a part of innovation team contributing initiative ideas to the hi-tech world Onsite opportunities : short-term and long-term assignments in worldwide offices Engage in our diverse training programs which surely help strengthen both your personal and professionalism 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal 100% offered salary and mandatory social insurances in 2-month probation 15++ days of annual leave + 1-day of birthday leave Premium health insurance for employee and 02 family members Flexible working time and working model Lunch and parking allowance Good benefits of company activities such as: football, badminton, yoga, Aerobic, team building…

🎁 Q4 JOINING BONUS Join BGSV by 31 December 2026 and receive a Joining Bonus equivalent to 1 month gross salary , subject to program eligibility and terms & conditions. About the Role We are looking for a Lead AI Safety & Security Engineer to own safety evaluation and security testing across Bosch's growing portfolio of AI-enabled products and internal tooling — large language model deployments and agentic AI systems (including Model Context Protocol – style tool-calling integrations), and the enterprise services they connect to. You will lead both sides of the same coin: whether an AI system behaves safely (does it refuse harmful requests, avoid unsafe recommendations, stay within its intended scope) and whether it is secure (can it be manipulated via prompt injection, tricked into misusing its tools, or made to leak data it shouldn't). This is a cross-business-unit mandate, not a single product line — you will build the practice largely from the ground up. Key Responsibilities Design and run safety evaluations for LLM-based features and AI agents: red-teaming for harmful, biased, or unsafe outputs; jailbreak and guardrail-bypass testing; systematic benchmarking against known safety failure modes. Design and run security testing for the same systems: prompt injection (direct and indirect), excessive agency, tool/plugin abuse, and confused-deputy risks in agentic and MCP-style tool-calling architectures. Build and maintain a threat model covering the full path from user input through model reasoning to tool execution — identifying where a safety failure and a security failure are really the same underlying gap. Verify human-in-the-loop and guardrail controls are architecturally sound wherever an AI agent can take a consequential action (a write to a business system, an automated communication, a code change) — not just present in a UI that can be talked around. Scope, brief, and review the output of external red-teaming/pentest vendors; write test specifications and acceptance criteria for AI-specific engagements. Track and apply emerging frameworks — OWASP Top 10 for LLM Applications, OWASP Top 10 for Agentic Applications, the NIST AI Risk Management Framework, ISO/IEC 42001, and the EU AI Act — translating new research into concrete internal test requirements before it becomes an incident. Partner with AI/ML engineering teams across business units to get safety and security reviewed into system design, not only tested after the fact. Produce evidence and documentation supporting AI governance and compliance needs (ISO/IEC 42001 AI management system, EU AI Act risk assessments, internal responsible-AI review processes). Build test tooling as needed: adversarial-prompt harnesses, automated jailbreak/red-team pipelines, and MCP/tool-schema fuzzers. Mentor engineers on safe and secure AI system design, and grow the practice as it scales across more teams and products. Required Qualifications Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. 6+ years in security testing, AI/ML safety research, or a closely related discipline, with a track record of finding real issues in real systems. Practical experience testing or red-teaming LLM/agentic AI systems — prompt injection, jailbreaks, excessive agency, tool/plugin abuse — independent research or open-source contributions are acceptable given how new this specialty is. Working knowledge of at least one AI safety/governance framework (NIST AI RMF, ISO/IEC 42001, EU AI Act) and how it translates into concrete engineering requirements. Enough coding ability (Python and/or JavaScript/Node) to build evaluation harnesses and test tooling rather than rely solely on manual testing. Strong technical writing — comfortable producing findings and specifications that both engineers and governance/compliance stakeholders can act on directly. Preferred Qualifications Direct experience with the Model Context Protocol (MCP) or comparable agent tool-calling frameworks. Traditional penetration testing background (web/API/network), OSCP or equivalent. Experience contributing to a formal AI governance or compliance program. Publications, CTF/red-team competition results, or open-source security tooling in the AI safety/security space. Experience mentoring or building out a small safety/security testing team. Relevant Certifications (any of the following a plus) Offensive security / penetration testing — OSCP, OSWE, OSEP, GPEN, GWAPT, or CEH. AI-specific security — ISC2 AI Security Certificate, EC-Council Certified Offensive AI Security Professional, or Certified AI Security Professional (CAISP). AI governance / compliance — ISO/IEC 42001 Lead Auditor or Lead Implementer, or IAPP AI Governance Professional (AIGP). Why BOSCH? Because we do not just follow trends, we create them. Together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work. Benefits and Career Opportunities Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world Join in a dynamic and fast-growing global company ( English-speaking environment), with opportunity to work in global projects and being a part of innovation team contributing initiative ideas to the hi-tech world Onsite opportunities : short-term and long-term assignments in worldwide offices Engage in our diverse training programs which surely help strengthen both your personal and professionalism 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal 100% offered salary and mandatory social insurances in 2-month probation 15++ days of annual leave + 1-day of birthday leave Premium health insurance for employee and 02 family members Flexible working time and working model Lunch and parking allowance Good benefits of company activities such as: football, badminton, yoga, Aerobic, team building…

Analyze customer requirement suites in CAN Protocol / CAN Diagnosis (KwP, UDS). Design and Develop Embedded Software suites in CAN Protocol / CAN Diagnosis (KwP, UDS). Propose technical solution for customer demand or to resolve technical issue. Execute unit and functional tests with Automotive simulating Lab. Research new technology, new method to enhance performance of automotive system. Follow Development working process (V-Model) and ASPICE Bachelor of Engineering in Computer Science/ Electrical/ Electronics/ Mechatronics or relevant majors Have 3 years of experience in embedded software development. Fresh graduates with good academic background and passion in embedded system are welcome to apply. Good in C/C++ programming for Embedded Software, Compiler, make file, Python. Proficiency in scripting or automation tools (e.g., Python, Bash, PowerShell, or workflow automation platforms) Knowledge in CAN Protocol, Diagnosis (KwP, UDS), ISO 14229. Knowledge in Microcontrollers or Microprocessors, sensor / IO / UART. Knowledge in Real Time Operating System (RTOS), automation control, testing with debugger. Have ability to effectively apply AI tools in professional workflows Good English communication skills Why BOSCH? Because we do not just follow trends, we create them. Together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work. Benefits and Career Opportunities Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world Join in a dynamic and fast-growing global company ( English-speaking environment), with opportunity to work in global projects and being a part of innovation team contributing initiative ideas to the hi-tech world Onsite opportunities : short-term and long-term assignments in worldwide offices Engage in our diverse training programs which surely help strengthen both your personal and professionalism 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal 100% offered salary and mandatory social insurances in 2-month probation 15++ days of annual leave + 1-day of birthday leave Premium health insurance for employee and 02 family members Flexible working time and working model Lunch and parking allowance Good benefits of company activities such as: football, badminton, yoga, Aerobic, team building…

Key responsibilities: Ensure the stability, scalability, and performance of the data pipelines solution. Monitor and maintain batch data pipelines in a cloud-based environment. Improve operational processes including incident handling, performance monitoring, and issue resolution. Optimize Databricks workloads to improve efficiency and reduce costs. · Analyze and fine-tune the cloud infrastructure for better cost optimization. Technical Skills: Solid understanding of common issues in cloud-based data pipelines and analytics solutions Working knowledge of Databricks and Lakehouse architecture in a cloud environment. Working with Batch accounts, IAC, GitHub, IAM, and CI/CD pipelines Experience with command-line scripting (e.g., PowerShell ). Experience with data pipeline orchestration tools (e.g. Azure Data Factory) Understanding of monitoring and logging tools is a plus. Soft Skills: Excellent problem-solving and critical thinking skills, with a proactive approach to incident management and root cause analysis. Strong communication and coordination abilities, capable of working effectively across cross-functional and international teams. High level of ownership, with a strong drive for operational excellence, efficiency, and continuous improvement. Education: Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field. Professional Experience: Experience in operating and maintaining large-scale cloud data solutions in production environments. Proven experience as a Data Engineer, with a strong focus on Azure Data factory and Databricks. Experience working in an automotive domain is a plus. Languages: Fluent in English (written and spoken); additional languages are a plus. 3-5 years Experience in cloud infra and Devops

This position will be contracted through Bosch’s external vendor under a one-year agreement. Bosch Engineering Process, Methods & Tools (MS/EPM-XC) is a key enabler of engineering excellence and AI transformation within Bosch Cross-Domain Computing Solutions (XC). Our mission is to improve engineering productivity through innovative processes, tools, automation, data analytics, and AI-driven solutions. Together with global XC organizations, we develop and operate engineering platforms, automation frameworks, DevOps solutions, data analytics systems, and Generative AI applications that help engineers deliver high-quality software faster and more efficiently. As part of our AI Transformation journey, we leverage GenAI, intelligent agents, and advanced software engineering practices to drive the future of AI-assisted engineering across Bosch XC. As an AI Engineer, your typical work activities include: Developing AI-powered tools and applications for engineering use cases. Building and integrating GenAI and AI agent solutions. Working with data pipelines, analytics, and machine learning workflows. Supporting AI model deployment and evaluation. Collaborating with global teams to improve engineering productivity. Contributing to software development, testing, and automation activities. Learning and applying the latest AI, cloud, and DevOps technologies. The job might be fit for you if you have: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related technical field. Strong programming skills in Python and a solid foundation in software engineering principles. Basic understanding of Generative AI, Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), or modern AI application development. Familiarity with AI development frameworks and tools such as LangChain, LangGraph, Semantic Kernel, OpenAI-compatible APIs, or similar ecosystems. Knowledge of cloud platforms, APIs, container technologies, and modern development practices. Understanding of data processing, prompt engineering, model evaluation, and AI application lifecycle. Experience with Git, CI/CD, testing, and collaborative software development workflows. Strong analytical thinking, problem-solving, and debugging skills. Excellent communication and teamwork abilities, with a proactive and growth-oriented mindset. Passion for learning emerging technologies and applying AI to solve real-world engineering challenges. Good English communication skills and the ability to collaborate effectively with global stakeholders. Nice to have Hands-on experience building AI copilots, AI agents, chatbots, or workflow automation solutions. Familiarity with any of cloud platform like Azure AI, AWS, Google Cloud, or enterprise AI platforms. Exposure to DevOps, MLOps, LLMOps, or software quality engineering practices. Contributions to personal projects, open-source initiatives, hackathons, or AI communities. WHY BOSCH? Because we do not just follow trends, we create them. Together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you set high expectations for your learning journey? So do we. At Bosch, you’ll explore, grow, and challenge yourself in a dynamic and innovative environment. Internship Benefits & Learning Opportunities at Bosch • Monthly Internship Allowance, plus Meal and Parking support. • 1 paid leave day + 1 sick leave day for each internship month. • 1 birthday leave day if your birthday falls during the internship period. • Accident insurance provided throughout the internship. • Opportunity to observe and engage in international projects and innovation. • Access to our diverse training programs which surely help strengthen both your personal and professionalism. • Participation in various company activities such as football, yoga, badminton, and team building.

Department Information ' EPC ' is a department of BGSV company, belongs to Automotive Powertrain Solution domain. We develop embedded SW for 'Engine / Vehicle control unit ' which controls key vehicle engine functions (e.g., power performance, energy consumption efficiency, emissions, diagnosis, communication) and additional drive-ability features. We are looking for 3 Embedded Software Engineer (1-3 YoE) for Platform Projects (Base Software Platform, Diagnosis, Device Encapsulation Library, Software-in-the-Loop (SiL)) who involve engineering, design, coding, debugging and ensuring quality through CI/CT and automotive development processes. Your Main Roles and Responsibilities Analyze customer requirements, design and develop embedded software/test suites in automotive power-train domain Collaborate with cross-functional teams to define, design, and deliver new features. Develop clean, efficient, and well-documented code following coding standards. Answer customer queries, propose technical solutions for customer issues and integration support. Develop and maintain CI/CD pipelines for automated build, integration, and testing. Participate in Problem identification & resolution (e.g., record anomaly found during testing, analyze, troubleshoot) Perform static & dynamic testing from System level down-to SW component level using HiL / SiL environment, e.g., System / System integration testing SW / SW integration testing SW component static analysis Mandatory Qualifications Bachelor's or master's degree in electrical engineering, Electronics Engineering, Mechatronics, Computer Science, Software Engineering, or a closely related technical field. From 1 to 3 years of experience is required. Have knowledge of Micro controller/Embedded System and other hardware related topics: GPIO, SPI, memory, actuator, sensor, Schematic/Layout reading Programming Languages: good in Embedded C language SW development process: Familiarity and practical experience with V-Model or Agile / Kanban methodologies in the context of Embedded development. Version Control & CI/CD: Proven experience with Git, Git Actions, and Jenkins. Good written and verbal communication skills in English. Additional Opportunities : Software-in-the-Loop (SiL) We are also open to candidates with limited experience in embedded systems but have relevant skills and experience in Software-in-the-Loop (SiL) / Virtual ECU (vECU) development, particularly in the following areas: Strong interest in developer tooling, internal tools, and engineering application development. Experience designing, developing, integrating, and debugging developer tools and engineering applications. Proficiency in technologies such as Rust, TypeScript, Python, and C#. Experience with development workflow automatio Nice to Have Experience in Real Time Operating System (RTOS) Experience in using Emulators, Simulators, debugging and Test Equipment Experience in scripting language (e.g., Java (referable), Python, Perl, C++, C#, TypeScript or workflow automation platforms) Experience developing desktop applications or engineering tools. Automotive Standards: Experience with AUTOSAR / ASPICE Practical experience to use AI effectively for research and self-study WHY BOSCH? Because we don't just follow trends, we create them. Because together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work. Benefits and Career Opportunities Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world Join a dynamic and fast-growing global company ( English-speaking environment) Engage in our diverse training programs which surely help strengthen both your personal and professionalism 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal 100% monthly salary and mandatory social insurances in 2-month probation Meal, Commuting and Parking allowance Premium health insurance for you and 02 family members 15++ days of annual leave + 1 day of birthday leave Flexible working time Free in-house entertainment facilities and sport activities : football, badminton, yoga, Aerobics…. Vibrant culture : Enjoy team-building events, company trips, year-end parties, tech talks, charity & CSR initiatives Onsite opportunities : short-term and long-term assignments

🎁 Q4 JOINING BONUS Join BGSV by 31 December 2026 and receive a Joining Bonus equivalent to 1 month gross salary , subject to program eligibility and terms & conditions. About the Role As a Software-Hardware Integration Verification and Validation Engineer , you will play a key role in ensuring the seamless integration, verification, and validation of hardware and low-level software for next-generation System-on-Chip (SoC) and Chiplet platforms . You will work at the intersection of hardware and software, covering board bring-up, BSP and device driver integration, bootloader and Linux configuration, hardware interface debugging, and system-level validation . Through hands-on development and testing across RPU/APU environments and high-speed interfaces such as PCIe and UCIe , you will contribute to the reliability and technical excellence of Bosch’s Automotive Chiplet Systems (ACS) project. Learn more about Bosch’s Automotive Chiplet technology: https://www.bosch-semiconductors.com/stories-and-events/chiplet-revolution/ Main Responsibilities Low-Level Software Development: Develop board support packages ( BSPs ) and register-level programming for chiplets; microcontrollers, PMICs, … Implement and debug device drivers and configure and initialize peripherals . Configure Realtime Processor Units (RPU) & Application Processor Units (APUs) of Chiplets Bootloader Customization: Customize and configures Bootloader for RPUs and U-Boot for APUs, Implementation of secure boot Configur e Linux kernel (integration of driver, optimization of performances) Interface Implementation & debugging: Integrate and troubleshoot communication interfaces (e.g. I2C, SPI, CAN, PCI, UCIe, USB, LPDDR, Camera, Display Port) Implement and debug communication protocols at hardware and software levels. Hardware-Software Integration: Perform board bring-up and validation for hardware platforms; Debug hardware interfaces using oscilloscopes, logic analyzers, and protocol analyzers. Develop test tool for Hardware-specific test also covering system test level Education: Completed university studies in Computer Science, Electrical Engineering, Software Engineering, or a closely related technical discipline. Minimum 4+ years of relevant experience Proficient in English Hardware Experience and Knowledge Board bring-up and validation for custom hardware platforms Debugging hardware interfaces using oscilloscopes, logic analyzers, and protocol analyzers. SW debugging tools NOR-Flash, DRAM, UFS Low-Level Software Development: Register-level programming for Microprocessor / SoC (e.g. ARM /A78 series,…), and Microcontrollers (e.g. ARM Cortex M series, Cortex R series...) Development of device drivers and peripheral initialization Bootloader & OS Expertise: Bootloader customization for RPU U-Boot customization for APU Linux OS: driver integration, kernel configuration, and performance tuning Real-Time Operating Systems (RTOS): task scheduling, interrupt handling, and deterministic execution. Interface Knowledge: Practical experience with (I2C, SPI, Ethernet, CAN, PCI, UCIe, USB, LPDDR, Camera, Display Port) Debugging and implementing communication protocols at hardware and software levels. Prefer Key Achievements Successfully enabled multiple new hardware boards from prototype to production. Integrated custom Linux drivers for high-speed interfaces. Optimized bootloader and kernel for reduced startup time and improved reliability. Experience in verification and validation of RPU, APU, SoC, Chiplets in context of an automotive system Personality and Working Practice: You thrive in a dynamic and fast-paced work environment, embracing challenges and change. You work proactively, self-organized and you are keenly interested in taking over responsibility. You are highly collaborative and eager to contribute to team success, with a strong willingness to continuously learn and improve. Your "out-of-the-box thinking" helps to achieve creative and effective solutions to complex problems. You exhibit a hands-on mentality, eager to delve into technical details and provide direct support to developers and team members. You are highly motivated in tailoring and optimizing processes to enhance efficiency and overall project outcomes. Why BOSCH? Because we do not just follow trends, we create them. Together we turn ideas into reality, working every day to make the world of tomorrow a better place. Do you have high standards when it comes to your job? So do we. At Bosch, you will discover more than just work. Benefits and Career Opportunities Working in one of the Best Places to Work in Vietnam and Top 30 of the Most Innovative Companies all over the world Join in a dynamic and fast-growing global company ( English-speaking environment), with opportunity to work in global projects and being a part of innovation team contributing initiative ideas to the hi-tech world Onsite opportunities : short-term and long-term assignments in worldwide offices Engage in our diverse training programs which surely help strengthen both your personal and professionalism 13th-month salary bonus + attractive performance bonus (you'll love it!) + annual performance appraisal 100% offered salary and mandatory social insurances in 2-month probation 15++ days of annual leave + 1-day of birthday leave Premium health insurance for employee and 02 family members Flexible working time and working model Lunch and parking allowance Good benefits of company activities such as: football, badminton, yoga, Aerobic, team building…

As a Data Scientist, you will help shape the future of manufacturing by transforming complex engineering and production challenges into data-driven solutions that create measurable business value. Working at the intersection of Artificial Intelligence, Machine Learning and Industrial Analytics, you will analyse manufacturing data to uncover patterns, identify root causes and drive process improvements. Your insights will support smarter decisions, enhance product quality and increase operational efficiency across manufacturing environments. You will develop and validate AI/ML models and advanced analytics solutions for use cases such as: Quality improvement and process optimization Anomaly detection and root cause analysis Predictive maintenance and failure prediction Productivity and yield improvement Process stability monitoring Decision support for engineering and manufacturing teams As part of a multidisciplinary team, you will collaborate closely with Process Experts, Technology Development Engineers, Data Analysts, MES/PLC specialists, Data Engineers, MLOps teams, IT professionals and business stakeholders to ensure solutions are scalable, explainable and aligned with real operational needs. You will contribute throughout the entire solution lifecycle, from problem definition and data exploration to model development, validation, deployment support and continuous improvement. In addition, you will help standardize and reuse analytical methods, models and best practices across projects and locations, supporting Bosch's digital transformation journey and Industry 4.0 initiatives. What distinguishes you: Education MSc or PhD in Data Science, Artificial Intelligence, Machine Learning, Computer Science, Mathematics, Statistics, Engineering, Physics or a related field. Academic or professional background in machine learning, statistics, optimization or data-driven problem solving. Experience Experience developing Machine Learning, Artificial Intelligence or Advanced Analytics solutions. Hands-on experience working with complex datasets in industrial, engineering, manufacturing or technical environments. Experience contributing to end-to-end data science projects, including data preparation, model development, validation and deployment. Exposure to manufacturing, process development, industrialization, quality improvement or equipment-related analytics is considered an advantage. Know-how 1. Machine Learning & Advanced Analytics Knowledge of machine learning methods, including regression, classification, clustering, anomaly detection, forecasting and optimization. Experience applying techniques such as feature engineering, model evaluation, hyperparameter tuning and model explainability. Familiarity with deep learning approaches is a plus. 2. Statistics & Experimental Methods Knowledge of statistical analysis, probability and experimental data analysis. Experience with hypothesis testing, regression analysis, statistical significance and data interpretation. Understanding of process variability, capability analysis, performance indicators and Design of Experiments (DoE). 3. Programming & Data Science Tools Proficiency in Python and good knowledge of SQL. Experience with data science and machine learning libraries such as Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, Seaborn, Plotly, PyTorch or TensorFlow. Familiarity with Git and collaborative software development practices. 4. MLOps & Industrial Deployment Understanding of MLOps concepts, including model versioning, testing, reproducibility, CI/CD and monitoring. Experience with cloud-based AI platforms, preferably Databricks, is an advantage. Knowledge of APIs, containers and deployment concepts is beneficial. 5. Industrial Data & Manufacturing Systems Experience working with structured, semi-structured and time-series data. Familiarity with manufacturing systems and data sources such as MES, PLC, SCADA, Historian systems, test systems or production databases. Understanding of manufacturing KPIs such as OEE, yield, scrap, downtime, cycle time, rework and process capability is an advantage. Languages Fluent English, written and spoken. Working Style and Methods Structured and analytical approach to problem-solving. Ability to transform complex challenges into practical, scalable solutions. Strong collaboration skills with both technical and non-technical stakeholders. Clear communication skills and ability to present analytical insights in an actionable way. Strong focus on quality, reusability and continuous improvement. Personality Curious and eager to learn new technologies and methodologies. Proactive, collaborative and solution-oriented mindset. Strong sense of ownership and accountability. Passion for data, innovation and making a tangible impact in industrial environments. Work #LikeABosch includes: ⚖️ Flexible work conditions 🔀 Hybrid work system 🌐 Exchange with colleagues around the world 🛡️ Health insurance 🧑‍⚕️ Medical office (psychology and general clinic) & Social Services Office on site 📚 Training opportunities (p.e., technical training, foreign languages training) & certifications 📈 Opportunities for career progression and continuous professional development 💲 Access to great discounts in partnerships and Bosch products 🏋️ Sports and health related activities 🚉 Great access to public transports 🚌 Free transport from Porto 💰 Flexible benefits platform 🅿️ Free parking lot 🍽️ Canteen Success stories don´t just happen. They are made... Make it happen! We are looking forward to your application!