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The vacancy lacks clarity on tasks and compensation, but provides a solid tech stack and reasonable requirements.
AI quality score3.8 / 10
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Overview
We are looking for a Senior ML Engineer with at least 2 years of experience in ML/AI, proficient in Python and FastAPI, and deep knowledge in at least 2 out of 4 ML domains.
Requirements
- •Experience: 2+ years in ML/AI.
- •Language: Python + FastAPI.
- •ML Stack: depth in at least 2 out of 4 domains:
- •Classical ML: sklearn, XGBoost, CatBoost (scoring, fraud, recommendations).
- •CV: YOLO, SAM, OpenCV (model deployment for detection/segmentation).
- •LLM & RAG: LangChain, Milvus, prompt engineering, agents.
- •Audio/Speech: Whisper, NeMo, Triton (ASR); Piper, CosyVoice (TTS).
- •Airflow (DAG, debugging) + basic MLOps (versioning, monitoring).
- •Bonus: Expertise in 3 or 4 domains from the list above.
- •Serving & MLOps: Triton, vLLM, MLflow, DVC.
- •Tools: Embeddings (fastembed), queues (Kafka, Celery/Redis), Dify, Streamlit.
- •CI/CD & DevOps: OpenShift, ArgoCD (GitOps), Prometheus, Grafana.
Skills
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