Sr Machine Learning Engineer
USA - FL - Kirkman Point 2, United States
USD 135K-181K Senior-level Full Time
Tasks
- Apply LLMOps and MLOps best practices
- Communicate technical strategy to stakeholders
- Conduct AI research and experimentation
- Develop multi step agentic workflows
- Drive end to end AI ML lifecycle ownership
- Establish large language model evaluation frameworks
- Identify and resolve technical blockers
- Implement model agent versioning and deployment
- Implement responsible AI frameworks
- Orchestrate multi-agent systems
- Own AI ML platform CI CD pipelines
- Partner with cross-functional stakeholders
- Provide technical leadership for AI architecture
- Set up observability and monitoring
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Automated Deployment | Azure | CI/CD | Classification | Cloud Native | Cloud platform | Clustering | Container Orchestration | Data Quality | Deep learning | Docker | Drift Detection | Embeddings | Evaluation Frameworks | Generative AI | Google Cloud | Google Cloud Platform | Hallucination detection | Infrastructure as Code | Kubernetes | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Monitoring | Model versioning | Multi-Modal | Multi-modal Models | Observability | Prompt Optimization | Prompt engineering | Python | Regression | Responsible AI | Rollback | Safety Guardrails | Statistical modeling | Supervised Learning | Terraform | Unsupervised Learning | Vector Databases | “as-code”
Education
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