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6 березня 2026

ML / AI Engineer (вакансія неактивна)

віддалено $3000–4000

We are looking for a talented ML / AI Engineer to join our team and help build intelligent systems and data-driven solutions. In this role, you will design, develop, and deploy machine learning models that power real-world applications.

You will work closely with data scientists, software engineers, and product teams to transform data into scalable AI solutions. The ideal candidate has 3+ years of hands-on experience in machine learning or artificial intelligence, strong programming skills in Python, and solid communication skills in English (B2+ or higher).

Responsibilities

  • Design, develop, and deploy machine learning and AI models
  • Build and maintain scalable ML pipelines and data workflows
  • Work with large datasets to train, evaluate, and optimize models
  • Collaborate with cross-functional teams to integrate ML solutions into products
  • Perform model evaluation, testing, and performance optimization
  • Implement and maintain data preprocessing and feature engineering pipelines
  • Monitor and improve model performance in production environments
  • Stay up to date with the latest advancements in AI and machine learning

Requirements

  • 3+ years of commercial experience in Machine Learning or AI engineering
  • Strong programming skills in Python
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Solid understanding of machine learning algorithms and statistical modeling
  • Experience with data preprocessing, feature engineering, and model evaluation
  • Experience working with large datasets and data pipelines
  • Familiarity with REST APIs and integrating ML models into applications
  • Experience with Git and collaborative development workflows
  • English level B2+ or higher

Nice to Have

  • Experience with MLOps tools and workflows
  • Knowledge of cloud platforms (AWS, GCP, or Azure)
  • Experience with Docker and Kubernetes
  • Familiarity with NLP, computer vision, or generative AI models
  • Experience with distributed data processing tools (Spark, Hadoop)