Lead Software Engineer - AI/ML
USD 176K-210K (estimate) Senior-level Full Time
Tasks
- Build scalable ML infrastructure
- Collaborate with data scientists and product teams
- Configure CI/CD pipelines
- Design machine learning platforms
- Develop model deployment tools
- Develop model monitoring tools
- Develop model training tools
- Develop platform APIs
- Implement automation pipelines
- Implement secure production code
- Integrate data engineering and feature management
- Integrate model serving capabilities
- Manage model lifecycle
- Monitor platform reliability
- Produce architecture/design artifacts
- Provision infrastructure
- Troubleshoot platform issues
Perks/Benefits
- Backup childcare
- Comprehensive health care coverage
- Financial coaching
- Mental health support
- On-site health and wellness centers
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
AI Platform | AWS SageMaker | Airflow | Azure Machine Learning | CI/CD | Cloud AI Platform | CloudFormation | Databricks | Docker | Feature Store | Google Cloud | Google Cloud AI | Google Cloud AI Platform | Infrastructure as Code | Kubernetes | ML metadata | MLOps | Machine Learning | Microservices | Model Monitoring | Model Registry | Model versioning | Pandas | PyTorch | Python | REST APIs | SQL | Scikit-learn | Snowflake | Spark | TensorFlow | Terraform | “as-code”
Education
N/A
Regions
Countries
States
Cities
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