SMTS/LMTS - AI ML Engineers
Tasks
- Analyze product strategy and technical feasibility
- Design implement test deliver scalable AI solutions
- Drive technical roadmaps and own entire SDLC
- Lead code reviews and design sessions
- Lead design development and quality strategy for data services
- Make design decisions for performance scalability and reliability
- Provide architectural guidance and mentorship
- Troubleshoot complex production issues
Perks/Benefits
- 1-on-1 coaching
- Adoption Assistance
- Fertility benefits
- Generous parental leave
- On-demand training
- Volunteer opportunities
- Well-being reimbursement
Skills/Tech-stack
AI Trust Layer | AI trust | Benchmarking | Context engineering | Continuous Deployment | Continuous integration | Data Architecture | Data Pipelines | Data Systems | Distributed Systems | Evaluation | Event Driven | Event-driven architecture | Information Retrieval | JVM Tuning | Java | Kubernetes | Machine Learning | Multithreading | NFR | Object-Oriented | Object-oriented programming | Orchestration | Prompt injection | PySpark | Python | RAG | Real Time | Real-time Data | Real-time data systems | Retrieval-Augmented Generation | SLI | SLO | Trust Layer
Education
N/A
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