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 NoSQL 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 ParshipMeet, 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 are
With a global presence in over 190 countries and more than 400 employees, ParshipMeet 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.
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