ML Engineer
ML Engineer Middle On-site
ID: 19007
8 декабря 2025 г.
Активна
Беларусь, Минск
Требуемый опыт
От 3 до 6 лет
Формат работы
Полный день
📞Способы связи
📄 Оригинальный текст вакансии
#Middle #Минск #vacancy #MLEngineer
🔥Middle ML Engineer🔥
Location: Minsk, Belarus, office
🇺🇸English В2+
📩 Contacts:
Telegram: @ekaterina_interexy 💬
Responsibilities:
🖇Design, develop, and deploy scalable ML models for real-world applications.
🖇Collaborate with data scientists, engineers, and product teams to integrate ML solutions into production systems.
🖇Conduct data preprocessing, feature engineering, and model optimization.
🖇Evaluate model performance and ensure continuous improvement.
🖇Stay up to date with the latest research and technologies in AI/ML.
🖇Participate in code reviews and contribute to best practices in ML development.
Must-have:
⚡️3+ years of experience in Machine Learning, Data Science, or related fields.
⚡️Strong programming skills in Python (TensorFlow, PyTorch, scikit-learn, etc.).
⚡️Solid understanding of statistics, data modeling, and ML algorithms.
⚡️Experience with cloud platforms (AWS / GCP / Azure) and MLOps tools (Docker, Kubernetes, MLflow, etc.).
⚡️Hands-on experience with data pipelines and model deployment in production environments.
⚡️Proficiency in SQL and working with large datasets.
Nice-to-have:
💡Experience with Deep Learning, NLP, or Computer Vision.
💡Familiarity with LLMs, RAG pipelines, or generative AI.
💡Knowledge of data engineering tools (Airflow, Spark, Kafka).
💡Exposure to A/B testing, recommendation systems, or forecasting models.
💡Experience in microservice architecture and API development.
💡Advanced degree (MSc/PhD) in Computer Science, AI, or a related field.
🌐 Языки
английский (B2 — Средне-продвинутый)
🛠 Навыки
Cloud Technologies
Docker
Kubernetes
MLflow
Python (computer programming)
PyTorch
scikit-learn
SQL
TensorFlow
🎯 Домены
AI
ML
🤖 ИИ навыки
analyse pipeline database information
architecture regulations
build recommender systems
cloud security and compliance
computational fluid dynamics
Computer Vision
create data models
Data Engineering
Deep Learning
developmental psychology
Hadoop
levels of software testing
Machine Learning
manage ICT virtualisation environments
ML (computer programming)
Natural language processing
Python (computer programming)
repair pipelines
software components libraries
solution deployment
Spark
SQL
Statistics
use specialised computer models for weather forecasting
* Навыки определены автоматически с помощью нейросети
🤖 ИИ домены
Artificial Intelligence
Cloud Computing
Computer Vision
Data Science
Deep Learning
Generative AI
Machine Learning
MLOps
Natural Language Processing
Software Development
* Домены определены автоматически с помощью нейросети
📢 Информация о публикации
🔗 Оригинальные посты (1)
Канал:belit_jobs