Data & Machine Learning Engineer (All genders)

Skdse

Munich, Bavaria
Onsite
Posted 2026-10-11

Tailor my CV for this job, free View job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.

Got this interview? Our apps help you get the job.

Prep SarthiFree 7-min demoPractise this interview with an AI interviewer, out loud.Unlimited mocks · $9.99/month →Live Sarthi30 min free demoAnswer hints during the real call, hidden from supported screen sharing.Unlimited interviews · $9.99/2 days · Windows →

Skills named in this job

Machine learning
AWS
Agile
Airflow
Azure
ERP
GCP
MLOps
PyTorch
Python

Read from the description itself, not inferred.

This role on the market

1,260 open learning roles across 276 companies are on ApplySarthi right now, most of them in Bengaluru (54), Hyderabad (25), Delhi NCR (11).

AI Director - Machine Learning | Fully RemoteEscapevelocityentertainmentinc
Learning Practitioners – Japanese BilingualIBM
Mitarbeiter*in für Trainer*innenbildung & Blended LearningSpecial Olympics Deutschland
Senior Machine Learning EngineerBenjamin
Senior Machine Learning Engineer, Perception - Autonomous DrivingNvidia

What learning roles keep asking for: Machine learning (60%), Python (47%), PyTorch (31%), LLMs (27%), Deep learning (20%), AWS (19%), Generative AI (16%), C++ (15%) — counted across their open postings here.

AWS jobs · Airflow jobs · Azure jobs · ERP jobs

Skdse has 41 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for learning roles keep coming back to Machine learning, Python, PyTorch, LLMs. Practise those questions before you sit with Skdse.

Questions you are likely to be asked

Why do you want to join Skdse?
What is your experience with Machine learning? Tell me one thing you learned the hard way.
How did you know your model was actually good, and not just good on your test set?
Tell me about a time the data was messy or wrong. What did you do?
How would you explain your model's result to someone who is not technical?

Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.

Practise the Data & Machine Learning Engineer (All genders) at Skdse interview free →

At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world’s most demanding environments.

We believe that true security stems from relentless innovation. By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions.

Why Join Us?

The software and systems you work on directly protect personnel and defend European and national sovereignty.
You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms.
We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&D backing.

About the Team

The Operations Excellence team sits within the COO organization and serves as a strategic partner to managers, team leads, and colleagues across Stark. By delivering data-driven insights, leading critical projects, and driving continuous process improvement, we help the organization operate more efficiently, scale effectively, and achieve its goals faster.

As an individual contributor, you will take end-to-end ownership of complex initiatives with significant business impact. Working closely with cross-functional stakeholders, you will have the opportunity to influence key decisions, shape core operating processes, and contribute directly to the success of one of Europe’s fastest-growing unicorns.

Your Mission

As Data & Machine Learning Engineer, you own the data infrastructure and ML model development for the OAA team's AI use cases. You build the pipelines that feed models with clean, reliable data from both operational systems and back-office sources, deploy models into production, and ensure they perform reliably — from yield prediction on the line to anomaly detection in financial data.

Responsibilities

Design and build data pipelines from operational (MES, ERP) and back-office sources feeding ML models
Develop ML models for production and back-office use cases — from experimentation through to production deployment
Deploy models into production: serving infrastructure, monitoring, drift detection, and retraining workflows
Work with the OAA Lead and stakeholders to scope and validate ML use cases — feasibility, data availability, ROI
Collaborate with the Automation Engineer to integrate model outputs into automated workflows
Maintain and improve deployed models as data distributions and operational conditions evolve
Document data pipelines, model architectures, feature definitions, and deployment configurations

Required Skills

4–7 years in data engineering or ML engineering
Demonstrated experience deploying ML models to production: not just research or notebook-level work
Python: core language for data engineering and ML development
SQL: data extraction, validation, and pipeline development
ML frameworks: scikit-learn, PyTorch, or equivalent
MLOps fundamentals: model versioning, serving, monitoring, retraining
MSc in Data Science, Computer Science, Statistics, or equivalent

Nice-To-Have

Data pipeline tooling: Airflow, dbt, or equivalent
Cloud data platforms: AWS, GCP, or Azure
Experience with industrial, time-series, or back-office financial data

Equal Opportunity:

At Stark Defence, we are committed to building a diverse, inclusive, and high-performing team. We operate in an industry where women, as well as other minority groups, are systematically under-represented. We actively encourage applications from candidates of all backgrounds and identities.

If you are excited about this role, we encourage you to apply even if you don't meet all the listed qualifications—ability and impact cannot be summarised in a few bullet points. We value unique perspectives, adaptability, and a drive to solve high-stakes challenges.

Security Clearance:

Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process.

Find more English Speaking Jobs in Germany on Arbeitnow

Match this job to your CV

ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.

Check my match →

Similar open roles

Need answers during your interview? Try Live Sarthi.

Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.

Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
Answers start in about 1.5 secondsResponse time varies with your connection and model.
From your own CVYour projects and your experience, not a generic script.
30 minutes freeThen ₹99 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.

Try Live Sarthi free →

A Windows app, from the same team as ApplySarthi.

Listed on arbeitnow · posted 2026-10-11. ApplySarthi collects openings and links to application pages; the role is advertised by Skdse, not by us.