Machine Learning Engineer | eBike at Bosch Group

Braga, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

29 Apr, 26

Salary

0.0

Posted On

30 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Python, Data Science, Probability, Statistics, Algorithms, Signal Processing, Data Structures, Data Modeling, Software Architecture, Agile Development, Communication Skills, Analytical Skills, Problem-Solving Skills, Customer-Centric Mindset

Industry

Software Development

Description

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 Service Solutions in Lisbon develops and offers Customer Experience, Mobility, and Monitoring solutions for its clients, and plays a prominent role in providing Engineering and Software Development services in the technology market. Every day, our teams find fast, efficient, and innovative solutions for thousands of people. 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 Identify business problems and solve them by finding data and methods, resulting in measurable business improvements. Identify the most effective solution for a given problem that can range from mathematical/statistical to machine learning or deep learning models. Deploy and continuously monitor the solution to ensure business impact Exchange with other ML engineers, data-scientists, business stakeholders, HW and SW experts that will help you delivering valuable and robust solutions. Qualifications Completed degree in mathematics, computer science, physics, software. Knowledge in machine learning model development, evaluation and optimization. Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms. Experience with Python and relevant libraries (Pytorch, Tensorflow, Sklearn, Scipy, Numpy, Pandas, Matplotlib, Pyplot, Dask, QT, Streamlit, Holoviz, MLFlow and DVC) Experience with code versioning tools, like Git Study and transform data science prototypes and apply appropriate machine learning algorithms and tools. Knowledge with signal processing techniques (filtering, resampling, etc). Familiar with data structures, data modeling, and software architecture Interest in working in distributed teams using agile development methods. Strong team skills, very good communication skills, goal-oriented. Motivated and creative with high analytical skills, product-focused and customer-centric mindset. Analytical and problem-solving skills Very good language skills in English (written and spoken). Additional Information Work #LikeABosch means: ⚖️ Flexible work conditions 🔀 Hybrid work system 🌐 Exchange with colleagues around the world 🧑‍⚕️ Health insurance and medical office on site 📚 Training opportunities 📈 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 parking lot 🍽️ Canteen 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

Identify business problems and solve them using data and methods to achieve measurable improvements. Deploy and monitor solutions to ensure business impact while collaborating with other engineers and stakeholders.