Machine Learning Engineer

Market insights

Stack

Apply

Upload your CV — we will connect you with the employer directly through our pool.

Description

An ML Engineer will support the Marketing Department by building, improving, and operationalizing Machine Learning models, scoring workflows, and model-powered APIs. The role will focus on the engineering side of ML projects, including model training, evaluation, deployment readiness, automation, CI/CD, containers, monitoring, and model lifecycle management. Bachelor’s Degree in a technical related field; computer science, engineering, mathematics, or statistics background is a plus; Strong programming skills in Python; Good knowledge of SQL and data manipulation; Good knowledge of Machine Learning algorithms and model evaluation methods; Experience with Python ML-related packages such as pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch, TensorFlow or similar; Experience with building training, validation, scoring, and retraining workflows; Experience with API development using FastAPI, Flask, or similar frameworks would be a plus; Practical understanding of Docker-based packaging and deployment of Python/ML solutions; Understanding of CI/CD principles for ML or software projects; Knowledge of experiment tracking, model versioning, and model registry tools such as MLflow or similar; Knowledge of model monitoring, logging, testing, and reproducibility practices; Familiarity with containerization (Docker), workflow orchestration tools (like Airflow or Prefect), or local cluster management (Kubernetes) for ML pipelines would be a plus; Knowledge of LLMs, RAG, or AI application development would be a plus; Ability to write clean, maintainable, and documented code; Ability to work independently and collaboratively; Excellent knowledge of Armenian, Russian, and English languages.

Employer contacts (email/phone/telegram) are hidden from the public preview — send your CV, and we will connect you directly.