Senior Machine Learning Engineer
6 days ago
Key responsibilities
- Architect, implement, and maintain ML-backed services and APIs (Python) with clear interfaces, tests, and observability.
- Build near-real-time computer vision pipelines meeting defined latency/throughput SLOs.
- Fine-tune/evaluate open-source models and optimize inference (e.g., batching, quantization, ONNX/TensorRT where appropriate).
- Collaborate on data contracts and schemas; ensure reproducible experiments and traceable releases.
- Own service reliability in production (monitoring, incident response, root-cause fixes).
- Document designs and decisions; conduct code reviews and mentor juniors.
Minimum qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or related field.
- 3–6 years industry experience delivering ML solutions in production using Python.
- Strong software engineering fundamentals (testing, packaging, type hints, CI).
- Hands-on with either real-time computer vision pipelines or LLM/RAG services, using open-source tooling.
- Experience serving models behind REST/gRPC and operating containerized services (Docker) on cloud or on-prem.
- Practical performance tuning (profiling, memory/latency trade-offs).
Preferred qualifications
- Multi-object tracking/forecasting experience.
- Retrieval-augmented generation pipelines and workflows.
- Experience with a model serving stack (e.g., Triton, TorchServe, vLLM/TGI) and GPU optimizations.
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