AI/ML Solutions Manager of Software Engineering
USD 160K-201K (estimate) Mid-level Full Time
Tasks
- Adopt enterprise authorized AI assisted engineering practices
- Apply SDLC and TLM automation to improve delivery
- Collaborate with data scientists, ML engineers, and product teams
- Define requirements and deliver platform features
- Drive reliability, scalability, and performance improvements
- Ensure secure high quality production code for APIs and automation
- Integrate data engineering feature management and model serving
- Lead engineering teams for ML platforms and infrastructure
- Mentor engineers and foster continuous learning
- Oversee delivery of model training deployment and monitoring tools
- Represent ML platform engineering in cross functional forums
- Set strategy for ML platform initiatives
Perks/Benefits
- Backup childcare
- Financial coaching
- Health care coverage
- Mental health support
- Retirement savings plan
- Tuition reimbursement
Skills/Tech-stack
AI Platform | AWS CloudFormation | AWS SageMaker | Agile | Airflow | Apache Spark | Azure Machine Learning | CI/CD | Cloud AI Platform | Databricks | Docker | Feature Stores | Google Cloud | Google Cloud AI | Google Cloud AI Platform | Infrastructure as Code | Kubernetes | MLOps | Machine Learning | Microservices | Model Registry | Model versioning | Monitoring | Pandas | PyTorch | Python | REST APIs | SQL | Scikit-learn | Snorkel AI | Snowflake | TensorFlow | Terraform | “as-code”
Education
N/A
Regions
Countries
States
Cities
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