Machine Learning Engineer

Key responsibilitiesArchitect, 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 qualificationsBachelor’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).