Manager, Machine Learning Engineering
USA - FL - Kirkman Point 1, United States
R
USD 163K-219K Mid-level Full Time
Tasks
- Collaborate cross functionally with product UX data platform and architecture
- Drive adoption of new tools and engineering practices
- Ensure compliance with ethical guidelines data privacy and governance
- Lead AI ML engineering delivery for GenAI LLM applications
- Manage pod of full stack AI ML engineers
- Review designs and make technical tradeoffs
- Run Agile ceremonies and manage sprint capacity
- Set technical direction and remove roadblocks
- Track delivery status and escalate risks
- Translate roadmap into scoped sequenced engineering work
- Uphold code quality testing security observability and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS EMR | Agents | Agile | Apache Spark | Azure | Backlog Refinement | CI/CD | Cloud Development | Cloud Development Kit | Cloud Development Kit CDK | CloudFormation | Code Quality | CosmosDB | Data Privacy | Docker | Documentation | Encryption | Estimation | Fine Tuning | GCP | Git | Glue | Hugging Face | IAM | Infrastructure as Code | JSON | Java | JavaScript | Jenkins | KMS | Kafka | Kinesis | Kubernetes | LLM-Ops | Langchain | MongoDB | Node.js | Observability | Prompt engineering | PyTorch | Python | RAG | REST | RabbitMQ | React | Responsible AI | Retrospectives | SQS | Scrum | Security | Sprint Planning | TensorFlow | Terraform | Testing | Vector Databases | Vertex AI | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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