Related skills
python machine learning microservices mlops containers📋 Description
- Design and deploy ML models for cloud-native services
- Collaborate with data engineers/scientists to productionize ML models and data pipelines
- Collaborate with cross-functional teams to design and deploy MLOps at scale
- Integrate AI/ML into production systems (inference APIs, anomaly detection)
- Design and optimize data models and persistence for transactional and analytical workloads
- Enable intelligent AI features in user-facing applications
🎯 Requirements
- 8+ years of professional software development experience
- Experience developing microservices in containerized environments
- Experience with LLM-based apps, RAG pipelines, and AI-driven decision systems
- Python
- Relational databases and data warehouses
- Experience integrating AI capabilities into applications (inference APIs, ML pipelines)
🎁 Benefits
- Flexible PTO + all Federal holidays off
- Health, dental and vision insurance
- 401k with employer match
- Professional development (training, certifications, conferences)
- Paid cloud developer accounts
- Annual social events (540 Week, hackathon, charity golf tournament)
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