Product Designer, Remote in Latvia
MWDN
Own product features from discovery through implementation for an Israeli online cyber defense company. Design complex SaaS workflows, dashboards, responsive interfaces, and reusable Figma components.
Ашу
Salve.Inno — 2024 жылы құрылған, штаб-пәтері Польшадағы Гданьск қаласында орналасқан рекрутинг және консалтинг компаниясы. Оның шағын командасы арнайы рекрутинг стратегиялары, жаһандық қашықтан кандидат іздеу, кандидаттарды іріктеу және мансап сайттары арқылы жұмысқа қабылдау тәжірибесін ұйымдастыру көмегімен бизнеске қызметкерлер жалдауға көмектеседі. Компания консалтинг, маркетинг және логистика салаларында жұмыс істейді, сондай-ақ маркетинг, форекс және iGaming бағыттарындағы мамандарды іріктеу тәжірибесіне ие. Salve.Inno ұйымдарға коммуникация, әртүрлілік, теңдік және инклюзия, сондай-ақ тиімдірек жұмысқа қабылдау процестерін дамыту мәселелерінде қолдау көрсетеді, қашықтан жұмыс істеу мүмкіндіктерін жариялайды және жаһандық таланттар нарығына арналған консалтинг қызметтерін ұсынады.
Senior Machine Learning Engineer, Applied AI and MLOps Lead
Lead production AI solutions and MLOps for an international organisation. Shape predictive models, governance, deployment, and scalable machine learning architecture.
Сипаттама
- Own machine learning models from development through production monitoring and retraining.
- Lead applied AI projects in customer lifetime value, churn, fraud, and abuse prevention.
- Build and improve MLOps frameworks, automated deployments, CI/CD, environment promotion, and model lifecycle management.
- Create monitoring for model performance, data drift, data quality, and business outcomes.
- Set model retraining strategies, escalation procedures, and continuous improvement practices.
- Use SHAP and feature attribution to make models more transparent and interpretable.
- Set standards for model governance, documentation, version control, reproducibility, and auditability.
- Partner with Data Engineering on scalable pipelines, feature engineering, and dependable data infrastructure.
- Turn business challenges into practical, scalable AI solutions with Product, Risk, Commercial, and other teams.
- Review production model performance to improve accuracy, reliability, and business impact.
- Maintain production standards for stability, scalability, maintainability, and operational efficiency.
- Guide and mentor fellow engineers.
- Balance fast MVP delivery with lasting production reliability and scalability.
Талаптар
- Bring 5–8 or more years of professional experience building, deploying, and maintaining machine learning models in production.
- Have advanced Python skills and strong software engineering foundations.
- Understand machine learning algorithms, model evaluation, feature engineering, and predictive modelling.
- Have practical experience with production ML issues such as data leakage, model drift, data quality, and model stability.
- Have hands-on experience with Apache Spark or PySpark for distributed computing and large-scale data processing.
- Have used MLflow or a comparable platform for managing the machine learning lifecycle.
- Have designed, implemented, and maintained CI/CD pipelines, preferably with GitHub Actions.
- Have advanced SQL skills and experience working with large, complex datasets.
- Understand model deployment, monitoring, drift detection, retraining, and production maintenance.
- Have implemented model explainability and interpretability methods such as SHAP.
- Have delivered AI/ML solutions that produced measurable commercial or operational improvements.
- Understand model governance, versioning, documentation, and reproducibility requirements.
- Be able to design scalable, reliable, and maintainable machine learning architectures.
- Bring strong analytical thinking and problem-solving skills.
- Communicate complex technical ideas clearly to non-technical stakeholders.
- Have worked across teams such as Data Engineering, Product, Risk, and Commercial.
- Balance fast development and MVP delivery with sound production engineering.
- Show leadership through mentoring, technical influence, and engineering best practices.
- Take a proactive, independent, results-oriented approach to delivering AI solutions.
Артықшылықтар
- Competitive compensation based on experience and qualifications.
- Comprehensive employee training and professional development programmes.
- Opportunities to lead high-impact AI and machine learning initiatives.
- Exposure to advanced machine learning technologies and modern MLOps practices.
- An international workplace with cross-functional collaboration.
- Company, team, and group events.
- Birthday and loyalty benefits.
- Opportunities for professional growth and technical leadership.
- Additional employee benefits and incentives.
Ұқсас жұмыс орындары
Product Designer (Remote, Slovenia)
MWDN
Design cybersecurity product interfaces, workflows, and dashboards for an online cyber defense company. Lead feature design from problem definition through implementation.
Ашу
Product Designer, Bulgaria (Remote)
MWDN
Design intuitive cybersecurity SaaS experiences across workflows, dashboards, and mobile interfaces. Own features from discovery through implementation in partnership with developers and design system teams.
Ашу
Product Designer (Remote, Israel)
MWDN
Design end-to-end product features for complex sales workflows, including dashboards and responsive mobile experiences. Work with developers, validate ideas through user research, and contribute to a reusable design system.
Ашу
Product Designer, Cybersecurity (Ukraine, Remote)
MWDN
Design intuitive cybersecurity product interfaces, workflows, dashboards, and mobile experiences. Work with developers on the design system and deliver polished product features.
Ашу
Remote Product Designer in Greece
MWDN
Design intuitive cybersecurity workflows, dashboards, and mobile experiences for an international cyber defense company. Use Figma and work closely with developers to bring product designs to life.
Ашу
Product Designer, Cybersecurity
MWDN
Босния және ГерцеговинаҚашықтанТолық жұмыс күніОрта деңгейАға маманҚажетті Тіл: ағылшын тіліӨнім дизайнеріDesign intuitive interfaces for an Israeli online cyber defense company, taking product features from problem definition through implementation. Work across web and mobile experiences.
Ашу
Senior Advisor, Green Climate Fund Pipeline and Capture Lead
Catholic Relief Services
Америка Құрама Штаттары96 113 $ – 117 498 $ / жыл
ҚашықтанТолық жұмыс күніАға маманҚажетті Тіл: ағылшын тіліТүсіру менеджеріLead Catholic Relief Services’ Green Climate Fund pipeline strategy, capture planning, and proposal readiness. Coordinate country teams, consultants, donors, and climate fund stakeholders.
Ашу
Product Designer (Remote, Estonia)
MWDN
Design complex workflows, dashboards, and responsive experiences for an online cyber defense product. Take features from problem definition through design and implementation with developers.
Ашу
Product Designer, Remote in Albania
MWDN
Design clear, data-heavy interfaces for a cybersecurity product, guiding features from research and prototyping through implementation. Partner with developers and help shape responsive web and mobile experiences.
Ашу