Manager – Data Science & MLOps
MT-MF-Red Tag, United States
USD 150K-220K (estimate) Senior-level Full Time
Tasks
- Architect and evolve MLOps platforms across cloud environments
- Coach team members and set technical direction
- Collaborate with data scientists, ML engineers, and cross-functional teams
- Communicate strategy and progress to senior leadership
- Contribute to architecture and design reviews
- Define enterprise ML strategy and standards
- Develop and enforce model development, deployment, and management pipelines
- Drive adoption of ML tools and platforms
- Establish observability, reliability, and governance standards for ML systems
- Lead and scale data science and MLOps teams
- Lead or support large-scale ML workloads performance and cost optimization
- Maintain hands-on technical involvement (~50%)
- Stay updated with latest ML and AI frameworks and methodologies
- Support GenAI/LLMOps initiatives
- Support deployment of ML models in edge and embedded systems
Perks/Benefits
- 401k
- Dental insurance
- Education assistance
- Fitness Center
- Food and coffee services
- Health insurance
- On-site wellness
- Vision insurance
Skills/Tech-stack
AWS SageMaker | Azure ML | Citrine | Cloud Environments | Cost analysis | Data Governance | Data Ingestion | Databricks ML | Docker | Feature Engineering | GitHub Actions | Hugging Face | Kubernetes | LLM Frameworks | Langchain | Lifecycle Management | ML Lifecycle | ML Lifecycle Management | MLflow | Metadata Management | Model Deployment | Model Monitoring | Multi-cloud | Multi-cloud environments | Observability | OpenAI | Prompt management | PyTorch | Python | Spacelift | Terraform | Transformers
Education
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