SMTS/LMTS - AI ML Engineers
Tasks
- Analyze product strategy and technical feasibility
- Communicate and motivate cross functional teams
- Design implement test deliver scalable AI solutions
- Drive technical roadmaps and own entire SDLC
- Lead code reviews and design sessions
- Lead data services design development quality strategy
- Make design decisions using HLD and LLD
- Provide architectural guidance and mentorship
- Troubleshoot complex production issues
Perks/Benefits
- 1 to 1 coaching
- Adoption Assistance
- Fertility benefits
- Generous parental leave
- Health and well being reimbursement
- On-demand training
- Volunteer opportunities
Skills/Tech-stack
Cloud Native | Context engineering | Continuous Deployment | Continuous integration | Data Pipelines | Data Systems | Distributed Systems | Evaluation and Benchmarking | Event Driven | Event-driven architecture | Injection prevention | JVM Tuning | Java | Kubernetes | Machine Learning | Multithreading | NFR | Orchestration | Prompt injection | Prompt injection prevention | PySpark | Python | RAG | Real Time | Real-time Data | Real-time data systems | Retrieval-Augmented Generation | SLI | SLO | System design
Education
N/A
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