Machine Learning Engineer

TL;DR

Machine Learning Engineer (AI Engineering): Develop and deploy scalable, high-performance AI-driven systems with an accent on model optimization, MLOps, and integration into production environments. Focus on building and maintaining data pipelines, implementing CI/CD for ML models, and applying the latest AI technologies.

Location: Hybrid in Greece

Company

hirify.global is a company seeking a Machine Learning Engineer to join their dynamic team to build cutting-edge AI solutions.

What you will do

• Deploy machine learning models and integrate AI tools into production systems.
• Optimize and fine-tune models for performance, scalability, and efficiency.
• Collaborate with data engineers and data scientists to develop and maintain data pipelines.
• Implement MLOps best practices including CI/CD and monitoring of ML models.
• Set up pipelines for A/B testing of model variations to evaluate and enhance performance.
• Stay updated with the latest advancements in machine learning and AI technologies.

Requirements

• Must be located in Greece or able to work hybrid there.
• BSc/MSc in Computer Science, Data Science, Machine Learning, or related field.
• 3+ years experience in machine learning/AI and DevOps/MLOps.
• Strong programming skills in Python and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with containerization (Docker), CI/CD pipelines (Jenkins, GitLab CI), and cloud platforms (AWS, GCP, Azure).
• Fluency in English language.

Culture & Benefits

• Attractive remuneration package.
• Private health insurance.
• Corporate pension fund.
• Intellectually stimulating work environment.
• Continuous personal development and international training opportunities.

Hiring process

• Intro chat with Talent Acquisition.
• Interview with the future team.
• Role-specific take-home task.
• Final interview.