Machine Learning Engineer
Job in
Germany, Pike County, Ohio, USA
Listed on 2026-06-03
Listing for:
ParshipMeet Holding GmbH
Full Time
position Listed on 2026-06-03
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer, Data Scientist
Job Description & How to Apply Below
Location: Germany
# Machine Learning Engineer (all genders)
* Hamburg, Dresden, Berlin
* Data & AI
* Immediately* Mid/Senior Level
* Full Time
* Permanent We are looking for a Machine Learning Engineer (all genders) to build, deploy, and operate production-grade ML solutions in the cloud. You are hands-on, analytical, and pragmatic – able to translate business problems into well-scoped ML tasks and to decide when ML is (and isn’t) the right approach.
Does that sound like you? Then this is the perfect position for you.##
** Minimum Qualifications
*** Proven professional experience delivering and operating ML systems in production.
* Strong Python skills and experience with Docker, AWS/GCP.
* Solid ML fundamentals, NLP basics and strong model evaluation practice.
* Hands-on experience building end-to-end ML pipelines.
* Experience working with large datasets and SQL.
* Strong analytical problem-solving: ability to decompose ambiguous business problems. and determine whether ML is appropriate.
* Strong collaboration and communication: align cross-functionally, make decisions transparent, document well, and give/receive feedback constructively.##
Preferred Qualifications
* Experience with No
SQL databases and/or distributed processing and/or streaming.
* Practical experience with LLM applications and production agent orchestration.
* Cloud security and platform basics.
* Experience mentoring engineers and setting pragmatic engineering standards.## What you can expect
* Design, develop, deploy, and continuously improve ML models and taking ownership from prototype to production.
* Build reproducible data/ML pipelines.
* Containerize ML services and batch jobs using Docker to enable consistent, scalable deployments.
* Deploy and operate ML solutions in AWS or GCP.
* Monitor, troubleshoot, and harden models in production and iterate based on evidence and stakeholder feedback.
* Successfully collaborate with Data Engineering, Software Engineering, Product, and business stakeholders.
* Evaluate models rigorously using appropriate metrics, including robustness and fairness considerations.
* Build and maintain AI agents and orchestration workflows.
* Contribute to team excellence through constructive code reviews, knowledge sharing, and mentoring.
At Parship Meet, we help millions of people around the globe meet, date, and fall in love. We want our teams to be as diverse as our customer base. Constantly adding new perspectives is key to our success. We will never judge anyone by age, sex, family background, color of skin, religious beliefs nor sexual orientation. For us, it’s all about skills, competencies, and you as a human being!##
Who we areWith a global presence in over 190 countries and more than 400 employees, Parship Meet Group is one of the four leading international Dating and Video providers. Our diversified portfolio consists of nine apps supporting millions of users every day in their search for like-minded people, an exciting date, or a long-term relationship. True to the motto:
Meet – Date – Fall in Love.
Your contact person
Jan-Peter Horn Talent Acquisition Manager
** Does this sound like what you're looking for? Great! Here you have the opportunity to apply and upload your application documents in just a few minutes. Please complete our application form as fully as possible. Mandatory fields are marked with an . We look forward to receiving your application!
**** Upload attachments
** You can upload either an entire application document or individual documents here. The following file formats are possible:
Word (doc, docx), PDF, JPG, PNG, GIF. A single document must not exceed the size of 7 MB. Please do not upload PDF and Word documents that are password protected.## What we offer you Flexible working style
Part-time opportunities
Central office
Subsidized transportation
Training & Development plans
Food and soft drinks
Health benefits
Retirement plans
Shopping discounts
Volunteer opportunities
Legendary parties
Team Building Events
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