(Senior) Machine Learning Engineer (mfd)

Quantistry; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading AI and materials science company in Berlin is seeking a talented individual to join their interdisciplinary team focused on driving materials discovery and development. Your role will be pivotal in leveraging AI for advancing their cloud-native materials intelligence platform, Quantistry Lab. Responsibilities include enhancing ML infrastructure, co-developing models, and ensuring data management while receiving competitive compensation and benefits. Flexible working hours and personal development opportunities await the right candidate.

Leistungen

Flexible working hours and home office days

30 days of vacation per year

Personal development budget of 1000 EUR per year

Free coffee and drinks

Work equipment of your choice

Qualifikationen

• Minimum of 3 years experience working with cloud providers (AWS).
• At least 4 years of experience with Python or similar programming languages in production environments.
• Demonstrated experience building and/or maintaining ML/AI platforms.

Aufgaben

• Shape and enhance ML/AI infrastructure for efficient workflows.
• Co-develop existing and new ML/AI models.
• Ensure data quality and accessibility through collaboration.

Kenntnisse

Machine Learning/AI platform development

Python programming

Cloud services (AWS)

Container orchestration (Kubernetes)

Data management

Collaboration in teams

Ausbildung

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

Tools

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.

Responsibilities

• Shape and enhance our ML/AI infrastructure with strong support from our platform development team to implement best practices and efficient workflows.
• Co‑develop 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 Master’s degree in a relevant field (e.g., Computer Science, Data Science or similar).
• Demonstrated experience 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 in production environments.
• Solid understanding of container orchestration tools like Kubernetes.
• Hands‑on experience with 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.

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 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. The development process starts in a lab and continues through hundreds of cycles to achieve optimal properties. We believe this can now be done more easily and efficiently. Our cloud‑native simulation platform, Quantistry Lab, replaces countless development cycles, reducing research costs and accelerating R&D while improving environmental footprint. Join us and make a significant impact.

Equal Opportunity Employer

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.