(Senior) Machine Learning Engineer (m/f/d)

Quantum On Demand; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading materials science startup in Berlin seeks an experienced professional to drive materials intelligence and AI adoption. Key responsibilities include enhancing ML/AI infrastructure and co-developing models. The ideal candidate holds a relevant degree and has significant experience in cloud services like AWS and programming with Python. Flexible working hours, generous vacation, and a competitive salary are part of the package.

Leistungen

Flexible working hours

30 days of vacation

1,000 EUR personal development budget

Free coffee and snacks

Work equipment of your choice

Qualifikationen

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

Aufgaben

• Enhance ML/AI infrastructure with best practices.
• Co-develop new ML/AI models.
• Oversee data management operations.

Kenntnisse

Building and maintaining ML/AI platforms

Deploying ML models

Data management

Python programming

Cloud services (e.g., AWS)

Kubernetes

Communication skills

Ausbildung

Bachelor’s or Master’s degree in Computer Science or Data Science

Tools

Kubernetes

Kubeflow

MLflow

Apache Spark

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. You’ll 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

• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, or similar)
• Demonstrated experience in building and/ormaintainingML/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 environments
• Solid understanding of container orchestration tools like Kubernetes
• Hands-on 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 that’s 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 1,000 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 but it’s much closer to everyday life than you think. Whether it\'s 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 that’s pretty cool, and so do we. What about you? If you\'re ready to dive into the world of chemical simulations and make a significant impact, we\'d 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 [e-mail]. Please apply for this position only through our careers page at https://quantistry.com/career including your CV.