(Senior) Machine Learning Engineer (mfd)

Quantistry; Berlin; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading AI and materials science company in Berlin seeks a knowledgeable professional to drive ML/AI infrastructure development. You will collaborate with a talented team to enhance existing models and ensure seamless integration into the platform. Ideal candidates will possess a relevant degree and significant experience in deploying ML models in production. This role offers flexible working hours and a competitive salary.

Leistungen

Flexible working hours and home office days

30 days of vacation per year

Personal development budget of 1000 EUR per year

Top-notch coffee for only 1 EUR

Free fruit and a large selection of drinks

Work equipment of your choice

Competitive salary reflective of experience

Qualifikationen

• Minimum of 3 years experience working with cloud providers (AWS).
• At least 4 years of experience with Python or similar programming languages.
• Solid understanding of container orchestration tools like Kubernetes.

Aufgaben

• Shape and enhance ML / AI infrastructure.
• Co-develop existing and new ML / AI models.
• Oversee data management operations.

Kenntnisse

Building and maintaining ML/AI platforms

Deploying ML models in production

Experience with cloud providers (AWS)

Python or similar programming languages

Container orchestration tools (Kubernetes)

Kubeflow, MLflow, Apache Spark

Strong communication skills

Ausbildung

Bachelor's or Master's degree in Computer Science, Data Science or similar

Jobbeschreibung

Your Mission

As part of a world-class interdisciplinary team you will drive materials discovery and development into a new era. Your work will accelerate the adoption of AI in chemistry and materials science integrating and developing advanced solutions in our Quantum- and AI-powered materials intelligence platform Quantistry Lab. Youll play a pivotal role in shaping our technology with significant freedom to define the model delivery pipeline guide model development and ensure seamless integration into our platform.

Your key responsibilities will include:

• Shape and enhance our ML / AI infrastructure with strong support from our platform development team to implement best practices and efficient workflows
• Co-develop both existing and new ML / AI models actively contributing to the end-to-end lifecycle from design through deployment
• Oversee data management operations in close collaboration with our platform team to ensure data quality and accessibility
• Regularly deploy code to production through our CI / CD pipeline ensuring reliability and robustness in a live environment

Your Talents

• Bachelors or Masters degree in a relevant field (e.g. Computer Science Data Science or similar)
• Demonstrated experience in building and / or maintaining ML / AI platforms
• Proven track record of deploying ML models in production environments including dataset preparation and automation
• Minimum of 3 years experience working with cloud providers (AWS)
• At least 4 years of experience with Python or similar programming languages with extensive experience in production environment s
• Solid understanding of container orchestration tools like Kubernetes
• Hands‑ons experience in frameworks such as Kubeflow MLflow and / or Apache Spark
• Strong communication skills with a collaborative approach to working in an interdisciplinary team
• Experience or keen interest in data platform engineering is a plus

You might not tick all the boxes and thats ok apply anyways! Even though we have clearly defined roles we are an early-stage startup and there are so many things to do that every team member can define their own role to a certain extent.

Your Package

• Flexible working hours and home office days.
• 30 days of vacation per year.
• Personal development budget of 1000 EUR per year.
• Top‑notch coffee at our favorite coffee shop next door for only 1 EUR.
• Free fruit and a large selection of drinks (including soda juices Mate).
• Work equipment of your choice.
• A competitive salary reflective of your experience.

About us

Chemical simulations this might sound abstract and academic buts its much closer to everyday life than you think. Whether its a smartphone toothpaste or the oil on a bicycle chain : all these products contain an incredible amount of chemical know-how. And in all these cases the development process started in a lab at some point.

During hundreds of development cycles researchers have worked their way toward the optimal properties of a material or a chemical agent. Until the ideal conductivity of a semiconductor is achieved or the desired viscosity of a cosmetic product is given. This takes a lot of time and of course a lot of money.

We have the opinion that this can be done more easily nowadays! The Quantistry Lab - our cloud-native simulation platform - replaces countless development cycles in the lab. It reduces the costs of researching companies accelerates their R&D and improves their environmental footprint at the same time. Our customers think thats pretty cool and so do we. What about you

If youre ready to dive into the world of chemical simulations and make a significant impact wed love to hear from you.

Quantistry - The New Way to R&D

Additional Information

Quantistry is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex disability age sexual orientation gender identity national origin or genetic information.

Contact Information

Your contact person is Katja. If you have any questions please send an email to Please apply for this position only through our careers page at including your CV.

Key Skills

• Laboratory Experience
• Vendor Management
• Design Controls
• C / C++
• FDA Regulations
• Intellectual Property Law
• ISO 13485
• Research Experience
• SolidWorks
• Research & Development
• Internet Of Things
• Product Development

Employment Type : Full-Time

Experience : years

Vacancy : 1