Senior Machine Learning Engineer
Core
Designing, developing, and maintaining scalable machine learning models and pipelines to translate business requirements into data-driven solutions.
Role type
Senior Machine Learning Engineer (MLOps & Deployment)
Builds
Scalable ML models, data processing workflows, and production ML pipelines
Domain
Cloud-based Machine Learning and Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, PySpark, TensorFlow, PyTorch, XGBoost, scikit-learn, MLflow, AWS/GCP/Azure/Databricks, Kubernetes, CI/CD, automated retraining, evaluation metrics
Preferred skills
MLOps practices, containerized environments
Technologies
Python, SQL, PySpark, TensorFlow, PyTorch, XGBoost, scikit-learn, MLflow, AWS, GCP, Azure, Databricks, Kubernetes
Responsibilities
Design, build, and deploy scalable ML models and pipelines; Develop and optimize data processing workflows; Deploy and monitor ML models in cloud environments; Collaborate with cross-functional teams to improve model performance
Seniority
Senior, hands-on IC