Data Scientist / Machine Learning Engineer
Core
Design, build, and operationalize end-to-end data science solutions translating complex business problems into measurable value across various sectors.
Role type
Medior/Senior Data Scientist & ML Engineer
Builds
Simulations, digital twins, and Large Language Models-as-a-service products
Domain
Data Science & AI, Cloud-native deployment
Deliverable
production ML models
Required skills
Python (pandas, NumPy, scikit-learn), Deep Learning frameworks (TensorFlow/Pytorch), MLOps toolchains (MLflow, Airflow, Azure ML SDK), Containerization & Orchestration (Docker, Kubernetes), Infrastructure-as-code (Terraform/Bicep), CI/CD pipelines (Azure DevOps/GitHub Actions), Feature engineering, Algorithm selection
Preferred skills
Reinforcement learning, Causal inference, GenAI, AutoML, Project leadership, Mentoring
Technologies
Python, TensorFlow, PyTorch, MLflow, Docker, Kubernetes, Terraform, Bicep, Azure DevOps, GitHub Actions, Azure ML SDK
Responsibilities
Execute data science projects from definition to production implementation; Advise clients on scalable feature engineering and cloud-native deployment patterns; Operationalize models using MLOps/DevOps best practices; Mentor junior colleagues through code reviews and knowledge sharing; Stay updated on latest developments in AI/ML and translate insights into new services
Seniority
Medior (3+ years) or Senior (5+ years), hands-on IC with mentorship responsibilities
