Senior Machine Learning Engineer
What we’re looking for:
We’re seeking a hands-on, results-driven Machine Learning Engineer to design and deploy intelligent systems that drive customer value and business insights at scale. You’re someone who thrives on collaboration, values clean and reproducible code, and is energized by turning complex data into actionable models. This is a hybrid (preferred) / remote position; however, to be eligible for hire, candidates must reside within the Czech Republic or Slovakia, with in-office presence for onboarding.
5+ years of experience building, deploying, and optimizing machine learning models in production environments
Proficiency in Python (preferred), with experience using frameworks like Scikit-learn, PyTorch, or TensorFlow
Strong software engineering principles (version control, CI/CD pipelines, modular code design)
Experience with data manipulation, and ETL tools like Pandas, Spark, SQL, Dbt, Airflow
Understanding of MLOps practices and familiarity with cloud platforms (AWS, GCP, or Azure)
Solid grasp of statistical modeling, supervised/unsupervised learning, model evaluation, and experiment design methodologies
Fluency in AI-assisted engineering, using tools like Copilot, Claude Code, or Cursor as a natural part of the workflow
Strong interpersonal skills when working with business partners across the organization
Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, or a related technical field; Master’s preferred
What you’ll do:
Build, train, and deploy machine learning models to support initiatives in customer intelligence, personalization, recommendation, forecasting, NLP and computer vision
Partner with business stakeholders, and engineers to deliver scalable solutions that enhance the customer experience and business performance
Operationalize ML pipelines using modern MLOps practices (e.g., automated retraining, monitoring, CI/CD)
Optimize model performance, accuracy, and fairness through iterative testing and improvement
Collaborate cross-functionally to translate business problems into ML opportunities
Contribute to our growing ML codebase by writing maintainable, documented, and testable code
Stay informed on emerging tools and technologies and bring forward new approaches to enhance our capabilities
How you’ll be measured:
Performance and scalability of deployed machine learning models
Contribution to successful deployment and automation of ML workflows
Collaboration effectiveness across technical and business teams
Quality, reliability, and reproducibility of code and pipelines
Innovation in developing new applications or improving existing models
How you’ll make a difference:
As a Machine Learning Engineer at Custom Ink, your work will power smarter customer experiences and unlock new data-driven capabilities across the company. You’ll help elevate the role of machine learning as a core enabler of Custom Ink’s mission—bringing people together through custom apparel and shared moments. Your contributions will accelerate strategic initiatives and influence how we understand and serve our customers.
The perks!
Contractor Wellness: Multisport card and access to mental health wellness program with Soulmio.
Professional Development: Grow your career with access to training programs, English classes, certifications, and tuition assistance.
Friendly Team Environment: A beautiful office in Karlín with a full fridge, amazing coffee, and an Xbox. Every Tuesday, company breakfast, occasional lunches and dinners, and regular team buildings (game nights).
In this role, you will be eligible for equity compensation, aligning your contributions with the company's long-term success.