Senior Machine Learning Engineer

Requirements

• Strong proficiency in Python, TensorFlow, PyTorch, scikit-learn.
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Deep understanding of NLP, Computer Vision, or Recommendation Systems.
• Strong grasp of data structures, algorithms, and distributed computing.
• Soft Skills: Excellent problem-solving, leadership, and communication abilities.

Responsibilities

• Model Development: Design, train, and optimize machine learning models for production use.
• Architecture & Scalability: Build robust, scalable ML pipelines and data processing systems.
• Research & Innovation: Stay ahead of emerging AI/ML trends and integrate cutting-edge techniques.
• Collaboration: Work closely with data scientists, software engineers, and product managers to align ML solutions with business goals.
• Mentorship: Guide and review the work of junior ML engineers and data scientists.
• Deployment & Monitoring: Implement CI/CD for ML models, ensuring performance, reliability, and fairness.

What we offer

• Direct cooperation with the already successful, long-term, and growing project.
• Flexible work arrangements.
• Collaborative and supportive team culture.
• Truly competitive salary.
• Help and support from our caring HR team.