AI ENGINEER - MLOPS (F/M/DIV.)

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 associates worldwide.
Job Description You will work as part of our global Data Science team to provide data driven AI solutions for our internal customers using state-of-the-art Machine Learning methods and tools.
In collaboration with other Bosch units you will enhance and operate our existing cloud based solutions as well as explore new potential Machine Learning use cases.
You will be able to discover the full world of our business data platform to generate insights into the data and in such way create an impact on the decision making process at Bosch.
Take responsibility.
You will work in direct exchange with our internal customers and international agile team of developers and Data Scientists to gain insights from our global business data platform.
Help shape the future.
As an employee of the global cross-functional Business Intelligence team (xBI), you will work on the future steering of Bosch together with Data Modelers, Data Engineers and Business Analysts.
Use freedom and creativity.
We live agile values ​​so that you can contribute your ideas and experiences for the benefit of the team and the company.
Think entrepreneurially.
As part of the leading in-house provider for data and analytics based solutions within Bosch, you will experience the start-up spirit with us and make your contribution through entrepreneurial thinking and acting.
Qualifications Education.
M.
c.
or Ph.
.
in one of the following areas.
Computer Science, Data Science, Mathematics, Statistics, Physics, Bioinformatics or other related areas.
Experience.
At least 3 years of professional experience in AI Engineering.
AI Engineering Know-How.
Expert skills in Python programming language with high code quality (Clean Code).
Proven track record in deploying ML & DL models into production covering the whole life cycle of the development of production-ready AI systems.
Proven track record in MLOps covering such areas as automation of models training, inference and post-deployment monitoring.
Expert skills in deployment technologies such as Docker, Kubernetes, MLFlow, Azure DevOps, GitHub Actions, Jenkins.
Expertise in creating automated data and ML pipelines with Microsoft Azure Cloud.
Experience in creating Web APIs with Python.
Experience in retrieving and persisting data from various data sources such as relational and non-relational databases, cloud blob storages, vector databases, Hadoop clusters etc.
Machine Learning Know-How.
good understanding of ML workflows such as model training, fine-tuning, inference and monitoring.
Basic understanding of machine and deep learning gained through previous work in such areas as e.
.
regression analysis, classification, anomaly detection, time series forecasting, clustering, pattern recognition, data mining, recommendation systems etc.
Personality.
Team player, committed, responsible and flexible.
Way of working.
Agile, analytical, proactive, result & solution-oriented and high code quality.
Enthusiasm.
Passion for AI Engineering, Data Science & advanced analytics, developing interdisciplinary approaches and products for customers and presenting complex issues in a simple manner.
Languages.
Fluent in English, written and spoken.
Strong communication skills 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.
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