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Senior Machine Learning Engineer Miejsce pracy: Warszawa Technologies we use Expected Python TensorFlow PyTorch Scikit-learn AWS Microsoft Azure Google Cloud Platform Spark Airflow Operating system Windows About the project In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are seeking a highly experienced Senior Machine Learning Engineer to join a remote development team. The role focuses on designing, deploying, and maintaining scalable machine learning solutions in production environments, with a strong emphasis on MLOps practices and ML lifecycle management using MLflow. The candidate will collaborate closely with data scientists, data engineers, architects, and business stakeholders to deliver reliable, production-grade ML systems. Type of project: IT Services Office location: Poland Work mode: Remote Budget: 130-150 PLN net /h- b2b Project length: long term Only candidates with citizenship in the European Union and residence in Poland Start date: ASAP (depending on candidate availability) Your responsibilities Design, develop,and deploy machine learning models for production environments Implement and manage MLflow for experiment tracking, model versioning, and model deployment Optimize ML pipelines for performance, scalability, reliability, and cost efficiency Implement end-to-end ML pipelines covering training, validation, deployment, monitoring, and retraining Apply MLOps best practices to ensure scalability, reproducibility, and operational stability Collaborate with data scientists to operationalize models and improve model performance Work closely with data engineers to integrate ML solutions with data pipelines and data platforms Build and maintain containerized ML applications using Docker and Kubernetes Implement CI/CD pipelines for automated testing, deployment, and monitoring of ML models Monitor model performance, data drift, and system health; perform root cause analysis when issues arise Ensure security, compliance,and best practices across cloud-based ML deployments Our requirements Minimum 8 years" experience in machine learning engineering or related roles Strong proficiency in Python and modern machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Hands-on experience with MLflow for model lifecycle management in production environments Solid understanding of MLOps principles, including CI/CD, containerization, and orchestration Experience deploying and operating ML workloads on cloud platforms (AWS, Azure, or GCP) Good knowledge of data engineering concepts and tools such as Spark and Airflow Strong problem-solving skills and ability to work in complex, distributed environments Excellent verbal and written communication skills in English This is how we organize our work This is how we work at the clients site you focus on a single project at a time you have influence on the technological solutions applied you develop the code "from scratch" you focus on product development you focus on code maintenance agile scrum Team members fullstack developer devOps project manager This is how we work on a project Clean Code code review Continuous Deployment Continuous Integration documentation issue tracking tools testing environments Development opportunities we offer development budget intracompany training mentoring substantive support from technological leaders technical knowledge exchange within the company What we offer Remote working model Full-time job agreement based on b2b and employment contract Private medical care with dental care (covering 70% of costs) rehabilitation package. Family package option possible Multisport card (also for an accompanying person) Life insurance Benefits sharing the costs of sports activities private medical care sharing the costs of professional training & courses life insurance remote work opportunities flexible working time integration events dental care no dress code extra social benefits Recruitment stages HR screen Tech meeting Cyclad In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting edge technologies that shape the world of the future. Please enclose the following statement in your application:I hereby give consent for my personal data contained in the submitted application documents to be processed by Cyclad sp. z o.o., ul. Chłodna 48/1, 00-872 Warszawa, including my image, in relation to my participation in the recruitment process. I acknowledge that the above consent may be withdrawn at any time. If you are interested in participating in future recruitment processes, please enclose the following statement in your application:I hereby give consent for my personal data contained in the submitted application documents to be processed by Cyclad Sp. z o.o., Cyclad sp. z o.o., ul. Chłodna 48/1, 00-872 Warszawa, including my image, in relation to my participation in future recruitment processes. I acknowledge that the above consent may be withdrawn at any time.The Personal Data Controller is Cyclad Sp. z o.o., ul. Chłodna 48/1, 00-872 Warszawa, e-mail: office@cyclad.pl, contact with the Data Protection Officer is available via e-mail: IOD@cyclad.pl. Personal data collected through job applications (CV) within the scope provided for in labor regulations shall be processed in order to allow performance of the ongoing recruitment pursuant to Art. 6(1)(a) of Regulation (EU) no. 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of individuals with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (further referred to as GDPR). In case of giving consent to processing of data for future recruitment processes – personal data shall be processed under theconsent, pursuant to Art. 6(1)(a) of the GDPR. If the Application form contains data referred to in Art. 9(1) of the GDPR, it shall be necessary to have the candidates consent for the processing of such data (Art. 9(2)(a) of the GDPR). The consent can be revoked at any time. Withdrawal of the consent shall not affectthe lawfulness of the processing that had been performed under the consent prior to its withdrawal. Personal data provided by the candidate related to:- participation in a selected recruitment process will be stored until the recruitment process is completed for a given position,- participation in future recruitment processes will be stored until the candidates consent to the processing of their data for this purpose is withdrawn, no longer, however, than for 5 years since the last update of the candidate’s data.Personal data may be disclosed to employees or associates of the Company, entities providing support to the Company on the basis of outsourced services or in accordance with data processing agreements, to entities authorized under the law, as well as to entities collaborating with the Company within the scope of job placement, in order to conduct recruitment processes. After the employee’s consent, personal data may also be disclosed to a potential employer for whom the recruitment process is being conducted.Submission of the candidate’s personal data within the scope under Art. 221 of the Labor Code is obligatory for participation in the recruitment process. Submission of other data by the candidate is voluntary. No submission of personal data within the required scope or objection to the processing ofsuch data shall result in lack of possibility to include the Application in the recruitment processes conducted by the Company.The candidate has the right to access and rectify the contents of their data, remove such data, limit its processing, transfer such data, submit objection to the processing and revoke the consent at any time, without affecting the lawfulness of the processing conducted under such consent before it waswithdrawn. The candidate also has the right to file a complaint with the President of the Office for Personal Data Protection when they consider the processing of their personal data to be a violation of the provisions of the GDPR.