Reach out directly about this role
#vacancy #remote #RF #ML Vacancy: ML Engineer Location: RF
We are looking for a strong developer to join our team, who builds production solutions based on LLMs, not just trains models in a notebook.
Critically important: ✅ Real experience in developing RAG pipelines and working with LLMs in production. ✅ Solid backend (Python) + experience in implementing ML models as services. ✅ You are more of a developer than a Data Scientist.
🛠 Stack and technologies: Core: Python (3+ years in commercial development) Orchestration & MLOps: Airflow / Argo Workflows, MLflow, Jenkins Big Data & Streaming: Hadoop, PySpark, Kafka Deployment: Docker, Kubernetes, Seldon / Kserve ML/LLM: Experience with ML models, NLP, LLMs (RAG, fine-tuning, deployment)
To apply: @dobysh_v
from 3 years
Experience
Full-time
Employment
Remote
Work Format
Senior
Grade
Data Science & ML
Specialization
By country
Data Science & ML
Specialization