Senior AI Engineer - MLOps (f/m/div.)
Aufgaben
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.
Profil Education: M.Sc. or Ph.D. 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.g. 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
Education: M.Sc. or Ph.D. 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.g. 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
Kontakt & Wissenswertes
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.
Willkommen in Lissabon
Unsere Standort-Vorteile
Gute Anbindung an öffentliche Verkehrsmittel
Gute Anbindung an öffentliche Verkehrsmittel, Dienstrad Leasing, die Wahl zwischen einem kostenlosen Öffi-Ticket für die Kernzone Wien, einem gestützten Klimaticket oder einem Mitarbeitenden-Parkplatz
Vergünstigungen für Mitarbeiter
Vergünstigte Einkaufskonditionen bei uns und unseren Partnerunternehmen, gestützte Kultur- und Freizeitveranstaltungen
Flexibles und mobiles Arbeiten
Gleitzeit und moderne Arbeitszeitmodelle von Teilzeit bis zu Jobsharing, Home-Office und eingearbeitete freie Fenstertage
Gesundheit und Fürsorge
Arbeitsmedizinische Vorsorge und Beratung durch internes ärztliches Personal, kostenlose Impfungen, attraktive Gesundenversicherung, psychosoziale und therapeutische Beratung, persönliche Gesundenvorsorge, Workshops und Vorträge zum Thema Gesundheit, betriebliche Altersvorsorge ab dem 3. Jahr bei Bosch
Trainingsmöglichkeiten und Zertifizierungen
Breites Angebot an Gesundheits- und Sportaktivitäten
Verpflegungsmöglichkeiten vor Ort
Gesunde und schmackhafte Verpflegung zu gestützten Preisen in unserem Betriebsrestaurant und in der Cafeteria, kostenloser Kaffee in unseren Kaffeeküchen
Krankenversicherung
Austausch mit Kollegen auf der ganzen Welt
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