Machine Learning Engineer
Core
Lead the design, development, and deployment of machine learning models and predictive analytics pipelines to power business outcomes.
Role type
Senior Machine Learning Engineer (Production & MLOps)
Builds
Scalable ML models, predictive analytics pipelines, and automated data workflows
Domain
Data Engineering & Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, statistical modeling, machine learning algorithms, MLOps practices, CI/CD tools
Preferred skills
Big data tools (Spark, EMR), containerization (Docker, ECS, EKS), serverless architecture
Technologies
PyTorch, TensorFlow, MLflow, SageMaker Pipelines, Airflow, pandas, scikit-learn
Responsibilities
Lead design and deployment of ML models; build predictive analytics pipelines; architect cloud-based data solutions; automate data workflows; mentor junior data scientists
Seniority
Senior, hands-on IC