Software Engineer (f/m/div.) at Bosch Group

Braga, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

07 May, 26

Salary

0.0

Posted On

06 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Anomaly Detection, Java, Python, JavaScript, Spring Boot, React, Node.js, Docker, SDLC, Code Reviews, Automated Testing, SMT Manufacturing, Statistical Tools, Analytical Mindset, English

Industry

Software Development

Description

Company Description 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. With over 300 specialized associates and around 15 nationalities, Bosch activities in Lisbon are focusing on sales, marketing, communication, training, nearshoring services and shared support for human resources services to Europe. The diversity, commitment and know-how of the team are the key success factors of this organization. Bosch Service Solutions develops and delivers Customer Experience, Mobility and Monitoring solutions for companies and their customers. Our teams find fast and efficient solutions for thousands of people on a daily basis – from claim management to life-saving emergency calls, among other services. Define the standards and become a pioneer together with around 9000 associates worldwide. Job Description Design a new class of Machine Learning to map AOI parameters with optimal anomaly detection Define a generic framework for AOI data and automatic export of relevant data Integrate the ML in the whole process Increase the quality anomaly detection with innovate ML Produce a generic framework to handle AOI data Integrate the AI solution in the AOI software Qualifications Results-driven Software Engineer with 2 years of experience designing, developing, and maintaining scalable software applications. Proficient in multiple programming languages including Java, Python, and JavaScript, with strong expertise in Machine learning methods. Experienced in modern frameworks and technologies such as Spring Boot, React, Node.js, and Docker. Skilled in full software development lifecycle (SDLC), from requirements gathering and architecture design to testing and deployment. Passionate about writing clean, maintainable code and driving continuous improvement through code reviews and automated testing. Demonstrated ability to collaborate cross-functionally with product, QA, and design teams to deliver high-quality software solutions on time. Preference is given to technical background on SMT manufacturing: Generalist knowledge and experience on SMT technologies (Reflow, Wave, Pick&Place, Paste printing, AOI) and manufacturing procedures, Very good experience with statistical tools, Analytical mindset, Availability to travel; Good communications and relationship skills, High level in English knowledge is mandatory. Additional Information What we offer you: Challenges in an international environment | career opportunities in one of the best companies in the world | flexible hours | medical services | discounts for employees | sports and health related activities | canteen | good access to public transports | space for creativity. Success stories don´t just happen. They are made... Make it happen! We are looking forward to your application! Legal Entity: Bosch Service Solutions S.A.

Responsibilities

The role involves designing a new class of Machine Learning to map AOI parameters with optimal anomaly detection and defining a generic framework for AOI data handling. Responsibilities also include integrating the ML solution into the entire process to increase anomaly detection quality.