Om rollen
As an AI/ML Engineer at WiseScore, you’ll build and deploy machine learning models that power real-world solutions across industries. From data exploration to production-grade pipelines, you’ll work on high-impact projects where explainability, scalability, and performance matter.
Ansvarsområden
Design and implement ML models for classification, prediction, and automation tasks
Build scalable ML pipelines using tools like TensorFlow, PyTorch, Vertex AI, or SageMaker
Apply MLOps practices for versioning, monitoring, and deployment
Collaborate with data engineers and product teams to deliver end-to-end AI solutions
Ensure model fairness, transparency, and regulatory alignment
Communicate insights and technical findings clearly to stakeholders
Krav
3–6 years of experience in ML engineering or applied data science
Strong Python skills and experience with libraries like scikit-learn, XGBoost, or PyTorch
Cloud experience (GCP, AWS, or Azure) with hands-on ML deployment
Familiar with ML pipelines, model serving, and performance optimization
Master’s in Computer Science, AI, or a related field
Börkrav
Experience with LLMs, LangChain, or Hugging Face - LLMs and embedding models
Familiarity with feature stores, model registries, or synthetic data
Understanding of AI ethics, bias detection, and explainability tools
Vad vi erbjuder
Remote flexibility with the option to work hybrid depending on project and location
Opportunity to work on cutting-edge digital and AI transformation initiatives across industries
Global project exposure, collaborating with clients and teams across Europe, the U.S., and emerging markets
30 days of paid vacation in your first year, plus performance-based bonuses
A mission-driven team with strong values around ethics, sustainability, and open innovation
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