At deeplify, we develop AI-powered software that analyzes data from non-destructive testing methods - like X-rays, ultrasound, and 3D imaging to automatically detect defects and automate the whole inspection process. Our solution supports industrial inspectors by streamlining the defect identification process, reducing manual work and lowering costs, across industries such as aerospace, energy, automotive and more.

Backed by top European investors and a growing customer base, we’re rapidly expanding our team to build innovative, industrial-grade solutions.

Tasks

As a Data Science Working Student at deeplify, you’ll help shape the future of AI in NDT by building core features and modern architecture for our product. You’ll work across the entire stack, contributing to backend, and the MLOps pipeline.

🧠 MLOps:

Design, develop, and maintain our whole MLOps pipeline, including data processing, model training and evaluation, CI/CD and monitoring, Retraining/Continuous Learning
Implement solutions for on-premise or on-cloud AI deployment and continuous learning systems.

Backend:

Maintain and enhance our database by adding new columns and tables as needed. Expand and improve our backend by implementing new routes, features, and functionalities.

👁️ Data Science:

Take part in research and customer projects to integrate AI solutions into the inspection workflowBuild multimodal models to process inspection data from multiple sensors together with textual input.

Requirements

You must be enrolled in a university

What You Need to Succeed:

🎓 Skills & Experience:
You are currently enrolled in a Bachelor's or Master's degree program. We welcome applicants from various academic backgrounds, most important is that you are a very talented data scientist with hands-on experience in computer science and software development
A solid theoretical background in machine learning
Familiarity with machine learning workflows and working with AI models, especially Computer Vision models, in production. Experience with ML frameworks, preferably PyTorch.
Experience in agile teams, and collaboration in coding
Adept at reviewing state-of-the-art research, distilling key insights, and transforming them into workflows and practical solutions.
Big Plus: Experience in ML Ops
You are fluent in English

➕Nice to have Skills:

Knowledge of cloud solutions using AWS
Experience with LLMs
Experience with Multimodal AI

✨ Personality & Attitude:

Growth Mindset: You believe talents can be developed through hard work, good strategies, and input from others. You have passion and perseverance for long-term goals.
Getting Things Done: You say what you do and do what you say. You are not afraid to get hands-on, initiate new ideas, build the required set-up, and make decisions to drive results.
Problem-Solving Skills: You have the ambition to learn in a fast-paced environment, take on complex tasks, and find creative solutions to small and big problems.Authenticity: Whether you are an introvert or extrovert, a doer or an analytical type, you share your knowledge and are not afraid to take a stance when needed.

Benefits

Why Join the deeplify Team?

Great Team & Culture: Collaborate with passionate professionals in an environment that values creativity, initiative, and experimentation.

Growth & Ownership: Thrive in a fast-paced startup, offering extensive opportunities for personal and professional development along with significant autonomy in your role.

Competitive Compensation: Earn a competitive monthly income as part of a comprehensive package.

Flexible Working Hours: Enjoy the freedom to work from home on your own terms, emphasizing tangible output over lengthy meetings.

Support & Development: Benefit from a diverse team from across the world committed to advancing your skills, sharing productivity hacks, and helping you reach your full potential.

Industry Leadership: Join an early-stage Industrial AI startup backed by some of Europe's top investors, with growing ARR, where you'll contribute to pioneering solutions in non-destructive testing.

Ready to make an Impact?

If you're passionate about leveraging your Data Science and MLOps expertise to drive innovation in industrial AI, we’d love to hear from you. Apply now and join us in revolutionizing non-destructive testing for a safer, more efficient future.

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