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They are made...**\n\n**Make it happen! 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This requires a commitment to constantly improve the transportation of people and things. We, at BorgWarner, made that commitment decades ago and have since been creating technologies to improve efficiency, emissions and performance in all types of vehicles.\nConstantly pursuing what’s next\nOur proven track record has made us industry leader in clean, energy\\-efficient propulsion system solutions for combustion, hybrid and electric vehicles. We uncover strong trends and use smart science and technology to address a future based on varying regulations, consumer demands and automaker requirements.\nProduct leadership that’s changing the world\nOur employees have earned trusted partnerships with customers and suppliers around the world. We leverage these relationships to gain a deeper understanding of the challenges at hand and then do what it takes to develop the next solution. Our strong operations and commercialization expertise result in high volume availability of competitive, efficient products that truly drive change.\nBorgWarner PowerDrive Systems is currently looking for “dynamic, results driven” individual to join as Intern for AOI and VCMI \\- Automated vision systems at our new production plant in Viana, Portugal.\nKey Responsibilities:\nSupport the Engineering team at the start of production for three automotive projects. Monitor production performance and implement solutions to improve false rejection rates and prevent false positives.\nProfile:* Bachelor's or Master's Degree in Electrical, Electronics or Electromechanical Engineering preferred\n* Strong analytical and organizational skills.\n* Basic knowledge of data analysis tools (Excel, Power BI, etc.).\n* Good communication skills and ability to work in a team.\n* Proactive and eager to learn in a dynamic environment.\n\n\nWhat we offer:* 12 months of internship Internship allowance\n* Meal allowance\n* Flexible working schedule\n\n\nInternal Use Only: Indirect Hourly\nGlobal Terms of Use and Privacy Statement \n\nCarefully read the BorgWarner Privacy Policy before using this website. Your ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms.\nPlease access the linked document by clicking here, select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.*Career Scam Disclaimer:* *BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third\\-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. 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learning algorithms).\n \n \n\nOur focus lies on implementing impactful solutions that generate value. With this in mind, great emphasis is placed on our development methodologies and problem-solving approaches. Python is the primary programming language, and whenever necessary, it is applied in a distributed manner, enabling scalable solution implementation.\n \n \n\nMain Responsibilities\n \n \n\nAs a Data Scientist \\& Machine Learning Engineer, you will have the opportunity to solve real-world problems across key industries (Education, Science, Banking, Telecommunications, and Retail). Your mission will involve applying various data science techniques—such as training and building predictive models, and analyzing and visualizing data—to specific challenges within these sectors, aiming to extract valuable insights through the extraction, preparation, and manipulation of large volumes of data.\n \n \n\n**Daily Responsibilities:** \n\nImplement solutions for data extraction, transformation, and standardization, turning raw data into meaningful and relevant information;\n \nResearch, analyze, and implement modern and efficient algorithms to make optimal use of the datasets under analysis;\n \nConduct exploratory data analyses and produce reports based on the data, enabling actionable conclusions;\n \nOptimize overall solutions using machine learning models and insights derived from data analysis.\n \n \n\n**Stacks:** \n\nPython, PySpark, R\n \n \n\nRequirements\n \nAcademic Background\n \n \n\nBachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, Computational Science, or related fields.\n \n \n\nProfessional Experience\n \n \n\nMinimum of 1 year of experience as a Data Scientist, with solid knowledge of SQL, data manipulation, and data visualization techniques.\n \n \n\nTechnical Skills\n \n \n\nExperience in Python programming, particularly with machine learning and mathematical libraries such as NumPy, SciPy, scikit\\-learn, pandas, Keras, TensorFlow, PyTorch, or PySpark.\n \n \n\nMachine Learning Knowledge\n \n \n\nExperience with supervised and unsupervised machine learning techniques, as well as data mining and pattern recognition algorithms.\n \n \n\nData Exploration\n \n \n\nEnthusiasm for exploring, preparing, and transforming data, converting raw data into useful information.\n \n \n\nLanguages\n \n \n\nProficiency in English, both spoken and written.\n \n \n\n**Bonus Points:** \n\nExperience with Microsoft Azure, GCP, and/or AWS;\n \nKnowledge of statistics and mathematical concepts, such as linear and logistic regression, data distribution, and normality tests.","price":"Negotiable Salary","unit":"per year","currency":null,"company":"Indeed","language":"en","online":1,"infoType":1,"biz":"jobs","postDate":"1758675333000","seoName":"data-scientist-machine-learning-engineer","supplement":null,"author":null,"originalPrice":null,"soldCnt":null,"topSeller":null,"source":1,"cardType":null,"action":"https://pt.ok.com/en/city-arcos-de-valdevez/cate-math-stats-info-sciences/data-scientist-machine-learning-engineer-6382265952601912/","localIds":"26","cateId":null,"tid":null,"logParams":{"tid":"0c06bc33-59b4-49bd-840a-6cf569d1fa85","sid":"1c650dda-268d-404e-aabb-079a84a0ccdb"},"attrParams":{"summary":null,"highLight":["Apply data science techniques to real-world problems","Work with Python and machine learning frameworks","Opportunity in education, banking, and telecom industries"],"employment":[{"icon":"https://sgj1.ok.com/yongjia/bkimg/8hvituaa__w72_h72.webp","name":"Job Type","value":"Full-time","unit":null},{"icon":"https://sgj1.ok.com/yongjia/bkimg/is8j0f44__w72_h72.webp","name":"Workplace type","value":"Onsite","unit":null},{"icon":"https://sgj1.ok.com/yongjia/bkimg/ji66qqr0__w72_h72.webp","name":null,"value":"Viana do Castelo,Viana do Castelo","unit":null}]},"addDate":1758614527547,"categoryName":"Math Stats Info Sciences","postCode":null,"secondCateCode":"science-technology","kycTag":null,"pictureUrls":null,"isFavorite":false}],"localIds":"18,49","pageTitle":"Math Stats Info Sciences in Arcos de Valdevez","topCateCode":"jobs","catePath":"4000,4374,4382","cateName":"Jobs,Science Technology,Math Stats Info Sciences","breadCrumbSeo":{"type":"BreadcrumbList","itemListElement":[{"position":1,"name":"Home","item":"https://pt.ok.com/en/city-arcos-de-valdevez/","@type":"ListItem"},{"position":2,"name":"Jobs","item":"https://pt.ok.com/en/city-arcos-de-valdevez/cate-jobs/","@type":"ListItem"},{"position":3,"name":"Science Technology","item":"https://pt.ok.com/en/city-arcos-de-valdevez/cate-science-technology/","@type":"ListItem"},{"position":4,"name":"Math Stats Info Sciences","item":"http://pt.ok.com/en/city-arcos-de-valdevez/cate-math-stats-info-sciences/","@type":"ListItem"}],"@type":"BreadcrumbList","@context":"https://schema.org"},"cateCode":"math-stats-info-sciences","total":5,"sortList":[{"sortName":"Best Match","sortId":0},{"sortName":"Newest First","sortId":1}],"breadCrumb":[{"name":"Home","link":"https://pt.ok.com/en/city-arcos-de-valdevez/"},{"name":"Jobs","link":"https://pt.ok.com/en/city-arcos-de-valdevez/cate-jobs/"},{"name":"Science Technology","link":"https://pt.ok.com/en/city-arcos-de-valdevez/cate-science-technology/"},{"name":"Math Stats Info Sciences","link":null}],"tdk":{"type":"tdk","title":"Arcos de Valdevez Math Stats Info Sciences Job Listings - 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Data Mastermind Wannabe64228435477505120
Indeed
Data Mastermind Wannabe
**We’re looking for bright Data Mastermind Wannabes to join our team** ---------------------------------------------------------------------- At Critical TechWorks, we are at the cutting edge of BMW Group’s technologies, and our Data Mastermind Wannabes are the next generation of innovators and problem\-solvers. This role is intended for motivated learners eager to dive into the world of data engineering/analytics by mastering industry\-leading technologies and using software development best practices. If you're passionate about data, love a challenge, and are ready to embark on an exciting learning journey, this is your opportunity to become a **Data Engineer Mastermind.** **Please, note that this position is for a Data Engineering role and not a Data Science/Analytics role.** **Your Journey as a Data Mastermind Wannabe:** * **Intensive Learning Program:** Participate in our **one\-month** **on\-site Academy** **starting on February 9th, 2026****.** Training will be **fully in\-person**, and after its completion, our hybrid model of three days per week in the office will apply. You'll learn fundamental concepts of data engineering, software development, cloud infrastructure (AWS), databases, and DevOps practices. * **Hands\-on Experience:** After completing the Academy, join a multidisciplinary team to refine your skills continuously to develop solutions for real\-world BMW applications. * **Fullstack** **Developmen**t: Work across the fullstack, from developing data transformation solutions, to robust data pipelines at scale. * **Mentorship and Support:** Benefit from the guidance and support of our expert team, ready to help you navigate challenges and celebrate victories. * **Agile Methodology Participation**: Actively engage in Scrum events, contributing to the agile development process. ### **Whatever you’re working on, here’s the lowdown on the technical skills you’ll be developing:** * **Cloud Computing Foundations:** Understand the basics of AWS and cloud platforms to support scalable data solutions. * **Infrastructure as Code:** Get to grips with tools like Terraform for automated and replicable data environments. * **Programming for Data:** Develop proficiency in programming with a focus on Python, the lingua franca of data engineering. * **Data Modeling and SQL:** Learn the art of structuring data and querying databases to extract actionable insights. * **Big Data Technologies:** Familiarize yourself with the Big Data ecosystem, including tools like Hadoop, Cassandra, and Apache Spark. ### **The Essential Skills for Your Journey** * A degree in IT or experience in software engineering is mandatory to grasp the technical foundations. * Be a **team player** with **excellent English oral and written skills.** * Have a strong **motivation for software development** and the listed technical domains. * Be ready to **adapt** **and learn continuously** in a dynamic workplace. ### **CTW's Daily Toolkit** Apart from great technical skills, our environment is fast\-paced and 100% agile, and prioritizes autonomy, teamwork, interaction and resilience. This means our **Data Mastermind** **Wannabes** must also possess the following: * **Embrace agile** and its implementation frameworks namely **Scrum**, to make the most out of all its events and work to keep evolving a high\-performing team. * **Be available to be a cross\-functional team** **member** by using and developing new skills and enabling a fully responsible team able to cover the whole product lifecycle. * **Be available to travel** abroad for short periods, as required, to support all the phases of the product development cycle when needed. * Have **excellent English oral and written skills**. German communication skills will be a plus. ### **Who we are** Critical TechWorks seeks a distinct and treasured corporate culture, that is very much our own. This means: * **Growth and Innovation:** Be a key player in shaping the future of mobility through innovative ideas. * **Engineering Excellence:** Immerse yourself in an environment valuing engineering process, where we create, innovate, lead, and make a tangible impact. * **Autonomy and Collaboration:** Thrive in a culture that blends autonomy with teamwork, contributing to groundbreaking developments. * **Continuous Learning:** Embrace constant skill enhancement in a dynamic workplace, where your contributions impact cutting\-edge technology projects. Join Critical TechWorks on our journey of innovation, excellence, and redefining the future of motion, one product at a time. *At Critical Techworks, we are creating an inclusive culture that values our people’s different viewpoints and experiences, regardless of sexual orientation, gender identity, age, color, ethnicity, religion, or disability.*
HJ3Q+2W Braga, Portugal
Negotiable Salary
Senior MLOps Engineer (f/m/div.)63822693875969121
Indeed
Senior MLOps Engineer (f/m/div.)
**Company Description** The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future. Bosch Car Multimedia, S.A. belongs to the Automotive Electronics division and is focused on making the vehicles our third living space. About 3\.600 associates are committed to develop and produce high quality technology that shape change in mobility worldwide. The company' success lies in its highly specialized and innovative team, and on the technological know\-how which makes Bosch the leading supplier in the automotive market. At Bosch, we shape the future by inventing high\-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock\-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential. **Job Description** **Your contribution to something big:** * **MLOps Strategy \& Architecture**: + Collaborate on the MLOps strategy for our hybrid cloud environment, ensuring alignment with business objectives, security requirements, and best practices + Collaborate on the technical design of a MLOps platform that provides a self\-service approach to the MLOps loop problems, such as data ingestion, feature engineering, model training, model validation, model deployment, model monitoring + Evaluate and select appropriate MLOps tools and technologies + Develop and maintain comprehensive documentation for MLOps processes and infrastructure * **Hybrid ML\-loop Implementation**: + Design and implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud and on\-premises resources using Terraform + Implement robust security measures to protect sensitive Data and ML models in both cloud and on\-premises environments + Implement and/or integrate tools to deliver the full MLOps loop + Develop and implement monitoring dashboards and alerts to proactively identify and resolve MLOps platform issues * **Collaboration \& Leadership**: + Work closely with data scientists, software engineers, and infrastructure teams to deliver a high\-quality MLOps solution + Provide technical leadership and mentorship to junior engineers + Communicate effectively with stakeholders at all levels, including technical and non\-technical audiences + Stay up to date with the latest MLOps trends and technologies + Participate in code reviews and contribute to the development of best practices **Qualifications** **Education**: * MSc or Ph.D. in Computer Science, Data Science, Machine Learning or a related field **Experience**: * 3\+ years of experience in MLOps, Data Engineering or similar roles, with a strong focus on AI/ML use\-cases **Technical Skills**: * Proven experience designing, implementing, integrating, and maintaining **Data infrastructure** and **MLOps solutions** * Strong knowledge of **Cloud solutions**, preferably **Azure** * Experience with on\-premises infrastructure management, including server management, networking, and storage * Experience with **containerization** and **orchestration** tools like Docker, Kubernetes, and Apache Airflow * Strong scripting and automation skills, such as **Python** and Bash * Strong understanding of **DevOps** principles and practices * Experience with **CI/CD pipelines**, preferably **GitHub Actions** * Proficiency in **IaC tools**, preferably **Terraform** **Soft Skills**: * Excellent problem\-solving skills * Effective communication skills, team player, and capable of collaborating across functional areas * Proactive, customer and result\-oriented personality * Fluent in English, written and spoken * Experience working in Agile/SAFe environments **Additional Information** **Work \#LikeABosch includes:** * ️ Flexible work conditions Hybrid work system Exchange with colleagues around the world * ️ Health insurance and medical office on site (psychology and general clinic) 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!**
R. 25 de Abril 104, 4710-913 Braga, Portugal
Negotiable Salary
Intern for Automated Vision Systems (M/F/D)63822690416769122
Indeed
Intern for Automated Vision Systems (M/F/D)
Reliably delivering what’s needed today There are few challenges as important today as creating solutions that support a cleaner, more energy\-efficient world. This requires a commitment to constantly improve the transportation of people and things. We, at BorgWarner, made that commitment decades ago and have since been creating technologies to improve efficiency, emissions and performance in all types of vehicles. Constantly pursuing what’s next Our proven track record has made us industry leader in clean, energy\-efficient propulsion system solutions for combustion, hybrid and electric vehicles. We uncover strong trends and use smart science and technology to address a future based on varying regulations, consumer demands and automaker requirements. Product leadership that’s changing the world Our employees have earned trusted partnerships with customers and suppliers around the world. We leverage these relationships to gain a deeper understanding of the challenges at hand and then do what it takes to develop the next solution. Our strong operations and commercialization expertise result in high volume availability of competitive, efficient products that truly drive change. BorgWarner PowerDrive Systems is currently looking for “dynamic, results driven” individual to join as Intern for AOI and VCMI \- Automated vision systems at our new production plant in Viana, Portugal. Key Responsibilities: Support the Engineering team at the start of production for three automotive projects. Monitor production performance and implement solutions to improve false rejection rates and prevent false positives. Profile:* Bachelor's or Master's Degree in Electrical, Electronics or Electromechanical Engineering preferred * Strong analytical and organizational skills. * Basic knowledge of data analysis tools (Excel, Power BI, etc.). * Good communication skills and ability to work in a team. * Proactive and eager to learn in a dynamic environment. What we offer:* 12 months of internship Internship allowance * Meal allowance * Flexible working schedule Internal Use Only: Indirect Hourly Global Terms of Use and Privacy Statement Carefully read the BorgWarner Privacy Policy before using this website. Your ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.*Career Scam Disclaimer:* *BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third\-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact BorgWarner through BorgWarner’s website to verify the authenticity of any employment opportunities.*
Tv. do Salgueiro 4, 4900-323 Viana do Castelo, Portugal
Negotiable Salary
Data Analytics Consultant63822659559555123
Indeed
Data Analytics Consultant
**THE TEAM THAT WILL WELCOME YOU:** Advisory – Data Analytics **LOCATION:** Braga **YOUR MISSION:** Join the Data Analytics team, actively contributing to value creation through strategic analysis and interpretation of data, enabling informed decision-making and supporting innovation and operational efficiency for our clients. **YOUR RESPONSIBILITIES:** * Develop and implement advanced analytical models; * Prepare and conduct exploratory analysis of large data volumes; * Build and optimize interactive dashboards and reports; * Participate in multidisciplinary data analysis and interpretation projects; * Support communication of analysis results to internal and external stakeholders. **WHAT WE EXPECT FROM YOU:** * Bachelor’s or Master’s degree in Computer Engineering, Applied Mathematics, Statistics, Information Systems Management, or related fields; * 1 to 2 years of professional experience in similar roles; * Strong proficiency in Microsoft Power BI (Desktop Application, Service, and Power Query); * Solid knowledge of Office tools, particularly Excel; * Basic knowledge of programming languages such as Python, SQL, DAX, and M Power Query; * Analytical mindset, attention to detail, organizational skills, client orientation, and results-driven approach; * Good communication skills and a collaborative team spirit. **WHAT CAN IMPRESS US:** * Knowledge of Management Control, Corporate Finance, or other financial areas; * Certification in Power BI or equivalent tools; * Prior experience in Big Data environments and Cloud technologies; * Familiarity with predictive techniques and models; * Knowledge of Machine Learning or Large Language Models. **WHAT DO WE OFFER?** * Opportunity to join a prestigious international firm, ranked as the 5th largest in the Audit and Consulting sector in Portugal and worldwide; * Chance to support and advise diverse companies across various sectors, sizes, and business areas at both strategic and operational levels; * Permanent employment contract; * Salary package tailored to the candidate's profile and professional experience; * Benefits according to BDO’s current policy; * Clear career progression opportunities; * Hybrid work model (4700\-924, Braga, Portugal)
R. 25 de Abril 104, 4710-913 Braga, Portugal
Negotiable Salary
Data Scientist & Machine Learning Engineer63822659526019124
Indeed
Data Scientist & Machine Learning Engineer
Data Science Mid\-level Lisboa, Braga, Viana do Castelo The Data Science area is dedicated to data analysis and modeling, solving diverse and multidisciplinary problems with the support of knowledge from various fields (mathematics, software engineering, and machine learning algorithms). Our focus lies on implementing impactful solutions that generate value. With this in mind, great emphasis is placed on our development methodologies and problem-solving approaches. Python is the primary programming language, and whenever necessary, it is applied in a distributed manner, enabling scalable solution implementation. Main Responsibilities As a Data Scientist \& Machine Learning Engineer, you will have the opportunity to solve real-world problems across key industries (Education, Science, Banking, Telecommunications, and Retail). Your mission will involve applying various data science techniques—such as training and building predictive models, and analyzing and visualizing data—to specific challenges within these sectors, aiming to extract valuable insights through the extraction, preparation, and manipulation of large volumes of data. **Daily Responsibilities:** Implement solutions for data extraction, transformation, and standardization, turning raw data into meaningful and relevant information; Research, analyze, and implement modern and efficient algorithms to make optimal use of the datasets under analysis; Conduct exploratory data analyses and produce reports based on the data, enabling actionable conclusions; Optimize overall solutions using machine learning models and insights derived from data analysis. **Stacks:** Python, PySpark, R Requirements Academic Background Bachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, Computational Science, or related fields. Professional Experience Minimum of 1 year of experience as a Data Scientist, with solid knowledge of SQL, data manipulation, and data visualization techniques. Technical Skills Experience in Python programming, particularly with machine learning and mathematical libraries such as NumPy, SciPy, scikit\-learn, pandas, Keras, TensorFlow, PyTorch, or PySpark. Machine Learning Knowledge Experience with supervised and unsupervised machine learning techniques, as well as data mining and pattern recognition algorithms. Data Exploration Enthusiasm for exploring, preparing, and transforming data, converting raw data into useful information. Languages Proficiency in English, both spoken and written. **Bonus Points:** Experience with Microsoft Azure, GCP, and/or AWS; Knowledge of statistics and mathematical concepts, such as linear and logistic regression, data distribution, and normality tests.
Tv. do Salgueiro 4, 4900-323 Viana do Castelo, Portugal
Negotiable Salary
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