Machine Learning Engineer (Mid-Level)
Core
Design, train, evaluate, and deploy machine learning models and pipelines for a recruitment technology product.
Role type
Mid-level machine learning engineer (production)
Builds
Production ML systems, end-to-end ML pipelines, and ML infrastructure/tooling
Domain
Recruitment technology, Machine Learning
Deliverable
production ML models
Required skills
Python, TensorFlow/PyTorch/scikit-learn, model selection, evaluation metrics, feature engineering, validation, MLOps tools, cloud platforms (AWS SageMaker/GCP Vertex AI), Kubernetes, Docker, A/B testing, production model monitoring
Preferred skills
Experience in startup or fast-moving product environments
Technologies
TensorFlow, PyTorch, scikit-learn, AWS SageMaker, GCP Vertex AI, Kubernetes, Docker
Responsibilities
Design and train ML models for production, build end-to-end ML pipelines, collaborate with product and engineering to deliver ML solutions, debug and improve production model performance, write maintainable code and contribute to ML infrastructure, participate in code reviews
Seniority
Mid-level, hands-on IC
