5 days ago
Helsinki, FinlandSenior
Responsibilities
- Build and deploy ML-based software systems for advertising experiences and campaigns.
- Work with image, video, audio, text, and structured performance datasets.
- Contribute to the MLOps and data platform and productionize AI/ML applications.
- Build scalable data pipelines and develop and maintain services under SLA.
- Collaborate with product, engineering, infrastructure, data scientists, colleagues, and customers to translate needs into solutions.
- Participate in planning, retrospectives, knowledge sharing, meetings, pair programming, debugging, and team improvement.
- Stay current with generative AI, computer vision, natural language processing, explainability, and other ML innovations.
Requirements
- 5+ years of experience developing and deploying production-quality software.
- 2+ years of experience delivering software services powered by machine learning.
- 2+ years of experience working with cloud infrastructure such as AWS or GCP.
- Fluency in Python; C++ or Java experience is a plus.
- Hands-on experience with modern ML frameworks such as PyTorch or TensorFlow.
- Knowledge of MLOps concepts and tools such as MLflow or Kubeflow.
- Experience with feature engineering, model evaluation, diagnostics, monitoring, and scalable ML data pipelines.
- Strong foundations in linear algebra, statistics, and calculus.
- Experience developing and maintaining services under SLA.
- Analytical problem-solving approach, customer focus, thoughtful architectural judgment, adaptability, resilience, and strong English communication skills.
- An M.Sc. in a relevant field is preferred.
- Ability and willingness to work from the office three days per week in a hybrid arrangement.
Benefits
- Healthcare packages, mental health services, paid holidays, and family leave.
- Equity options, performance-based rewards, competitive compensation, and career development opportunities.
- Hybrid work model combining office collaboration with remote work, with the option to work abroad for up to 30 days annually.
- Inclusive global culture with colleagues across more than 60 nationalities, 24 locations, and 13 countries.
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