Senior Machine Learning Engineer

USD 173K-267K (estimate) Senior-level Full Time Found 10d ago

Tasks

• Address ML system challenges and improve performance
• Align ML strategy with business goals
• Collaborate with data scientists and engineers
• Deploy and monitor ML models
• Design scalable ML architectures
• Develop and maintain ML pipelines
• Explore and adopt new ML tools and frameworks
• Implement MLOps practices and CI/CD
• Mentor team members

Perks/Benefits

• Career development support
• Culture of growth
• Inclusive community

Skills/Tech-stack

AWS | Automation | Azure | CI/CD | Cloud services | Data Science | Databricks | Distributed Systems | GCP | Infrastructure as Code | Kubeflow | ML Lifecycle | ML concepts | ML models | MLOps | MLflow | Monitoring | Problem Solving | PyTorch | Python | Resilience | Scikit-learn | Shell | Stakeholder management | Team Collaboration | Technical mentoring | TensorFlow | “as-code”