Senior ML Engineer - ML Ops & Production Systems (Remote)

Billennium; Warszawa; Hybrid; PLN 260,000 - 420,000; Full time

Benefits offered by this job

Udemy for Business

Private medical care

Multisport card

Language lessons

Shopping vouchers

Remote/hybrid work options

Job summary

Billennium is seeking a Senior Machine Learning Engineer in Poland to lead production ML systems and the evolution of ML infrastructure. You will drive cloud-based deployment, MLOps, and scalable data pipelines while collaborating with data scientists.

Join a senior, hands-on team where you mentor engineers, guide best practices, and help translate business needs into reliable ML solutions across cross-functional teams.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• 5+ years of professional ML engineering experience.
• Production ML systems design and maintenance.
• Proficient Python and cloud deployment (AWS).

Responsibilities

• Design scalable ML architectures and production systems.
• Build and improve MLOps pipelines (CI/CD, tracking, versioning, monitoring).
• Collaborate with data scientists to deploy models to production.
• Develop and maintain Python-based services and ML infra.
• Mentor engineers and data scientists on software engineering and ML best practices.
• Translate business requirements into technical solutions; evaluate new technologies.

Skills

Python

ML Frameworks (TensorFlow/PyTorch)

MLOps

Cloud (AWS)

Data pipelines

Mentoring

Communication

Education

Bachelor's degree in CS/Engineering or related

Tools

MLflow

GitLab CI/CD

Deployment tooling

Job description

Billennium is seeking a Senior Machine Learning Engineer in Poland to lead production ML systems and the evolution of ML infrastructure. You will drive cloud-based deployment, MLOps, and scalable data pipelines while collaborating with data scientists.

Join a senior, hands-on team where you mentor engineers, guide best practices, and help translate business needs into reliable ML solutions across cross-functional teams.