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Senior Machine Learning Engineer
  • Warsaw
Senior Machine Learning Engineer
Warszawa, Warsaw, Masovian Voivodeship, Polska
Cyclad
18. 1. 2025
Informacje o stanowisku

Senior Machine Learning Engineer

Miejsce pracy: Warszawa

Technologies we use

Expected

  • Python
  • VSCode
  • Jupyter Notebooks
  • Hadoop
  • Spark
  • Kafka
  • GitHub Actions
  • Harness
  • Jenkins
  • Google BigQuery

Optional

  • Java
  • C++
  • Scala
  • Google Cloud Platform

About the project

We are looking for a Senior Machine Learning Engineer to join a renowned American apparel brand. In this role, youll enhance consumer experiences by identifying improvement opportunities and prototyping solutions. Youll collaborate with data scientists, analysts, and engineers to develop and deploy ML models for e-commerce sites, in-store portals, and mobile apps, driving personalized consumer experiences.

Project information:

•Industry: Retail

•Remote work: 100% remote from EU

•Budget: B2B: 165 - 175PLN/net/h + VAT

•Contract length: long-term cooperation

•Working hours: Flexible. There is a required overlap with the USA team twice per week until 18-19:00 CET.

•Start date: ASAP

Your responsibilities

  • Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, model retraining, model deployment and metadata tracking
  • Identify new opportunities to improve business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset.
  • Work with data scientists and analysts to create and deploy new product features on the e-commerce website, in-store portals, and mobile app
  • Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation
  • Write efficient and scalable software to ship products in an iterative, continual-release environment
  • Contribute to and promote good software engineering practices across the team and build cloud-native software for ML pipelines
  • Contribute to and re-use community best practices
  • Embody the values and passions with empathy to engage with colleagues from multiple backgrounds

Our requirements

  • University or advanced degree in Engineering, Computer Science, Mathematics, or related field.
  • 7+ years in software development, with strong experience in developing and deploying ML systems in large data science environments.
  • Proficient in Python, with tools like VSCode and Jupyter Notebooks; familiarity with Java, C++, or Scala is a plus.
  • Experienced with big data tools (Hadoop, Spark, Kafka) and cloud platforms, preferably GCP with serverless architecture.
  • Expertise in CI/CD processes using GitHub Actions, Harness, Jenkins.
  • Skilled in data warehousing (Google BigQuery) and independently managing Kubeflow pipelines.
  • Knowledgeable in feature engineering, feature stores, and audit processes.
  • Strong foundation in software engineering practices, including testing, CI, code reviews, and documentation.
  • Experience with ML orchestration systems (Kubeflow, Step Functions, ML Flow, Airflow, TFX) and containerization (Docker, Kubernetes).
  • Strong reasoning to balance solution vs risk taking

This is how we organize our work

This is how we work

  • in house

Team members

  • IT administrator

Development opportunities we offer

  • intracompany training
  • substantive support from technological leaders
  • technical knowledge exchange within the company

What we offer

  • Opportunity to participate in an innovative project in a multinational environment.
  • Full-time job agreement based on b2b.
  • 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 foreign language classes
  • sharing the costs of professional training & courses
  • life insurance
  • remote work opportunities
  • flexible working time
  • extra social benefits
  • employee referral program

Recruitment stages

  • HR Screen
  • Technical interview

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.

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