[Hiring] Expert Artificial Intelligence/Machine Learning Engineer @Ciklum

Role Description

Ciklum is looking for an Expert Artificial Intelligence/Machine Learning Engineer to join our team full-time in Poland. As an Expert Artificial Intelligence/Machine Learning Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Client builds software for biopharmaceutical process development and manufacturing. The client suite combines AI, mechanistic modeling, and bioprocess expertise to build predictive digital twins for process understanding, optimization, and better decision-making. They are building a SaaS platform where reliability, maintainability, reproducibility, and scientific value matter.

Responsibilities

• Productionizing proven work from Process Model Scientists into maintainable ML code
• Integrating ML and hybrid models into production workflows
• Improving ML codebase structure so future use cases are faster to build
• Designing reusable abstractions for repeated modeling patterns
• Implementing feature transformations and supporting feature design with Process Model Scientists
• Building internal tools or frameworks when they reduce repeated work, for example reporting, evaluation, or validation utilities
• Proposing new ML ideas, libraries, interchangeable modules, or architecture improvements when they can make Process Model Scientist work faster, safer, or easier to reuse
• Implementing model-related fixes without degrading core scientific or business metrics
• Supporting regression analysis when model behavior, training results, feature behavior, or inference outputs change
• Debugging failed Flyte runs when the issue is related to model code, application logic, dependencies, or execution behavior
• Collaborating with the team when issues cross into orchestration, artifacts, experiment tracking, or platform behavior
• Helping Process Model Scientists move faster by reducing the amount of software engineering work they need to do themselves

Qualifications

• Strong Python and software engineering skills
• Experience building maintainable production code for ML, AI, or model-driven applications
• Good understanding of ML workflows: training, evaluation, inference, validation, and regression risks
• Experience with ML frameworks such as PyTorch, TensorFlow, Scikit-learn, JAX, or similar
• Ability to reason about feature transformations, model behavior, validation logic, metrics, and scientific constraints
• Familiarity with ML workflow, experimentation, and scalable training tools such as Flyte, Kubeflow, MLflow, Ray, Optuna, or similar
• Understanding of systems design in software
• Technical maturity to standardize modeling code when possible, regardless of the specific framework being used
• Ability to bring useful new ideas, libraries, and engineering practices to help Process Model Scientists move faster
• High autonomy: understands unclear problems, proposes solutions, pushes back when needed, and improves the system instead of only executing tasks
• Ability to work remotely with at least 4 hours of overlap with CET working hours
• B.S. in Engineering, Computer Science, Software Engineering, AI Engineering, Machine Learning, Data Science with strong model/metrics focus, or a closely related technical field

Benefits

• Strong community: Work alongside top professionals in a friendly, open-door environment
• Growth focus: Take on large-scale projects with a global impact and expand your expertise
• Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications
• Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies
• Flexibility: Enjoy flexibility – full remote working possibilities
• Care: We've got you covered with company-paid premium medical package through Luxmed
• Benefits: Access the MyBenefit cafeteria platform, allowing you to choose perks that best suit your lifestyle and needs