Engineer: Machine Learning III
Core
Build and deploy machine learning and AI systems using Python, SQL, and modern ML frameworks.
Role type
Senior Machine Learning Engineer
Builds
Production ML models and AI systems
Domain
Data Science / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Apache Spark, Apache Flink, Apache Kafka, Docker, Kubernetes, MLflow, Kubeflow, Dataiku, Domino, Azure, AWS, GCP, NoSQL databases, microservice architectures, CI/CD, unit testing, code reviews, git, R
Preferred skills
Big data storage and processing solutions, machine learning model architectures
Technologies
pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Apache Spark, Apache Flink, Apache Kafka, Docker, Kubernetes, MLflow, Kubeflow, Dataiku, Domino, Azure, AWS, GCP
Responsibilities
Develop machine learning or AI systems, deploy models to production, work with modern ETL and orchestration frameworks, utilize cloud-based infrastructure
Seniority
Mid-Senior, hands-on IC