Senior ML Engineer

What you'll do:

• Design and implement scalable machine learning pipelines for various applications.
• Develop and deploy machine learning models using relevant frameworks and libraries.
• Build robust data ingestion and feature engineering pipelines for ML models.
• Collaborate with data engineers to productionize and monitor machine learning solutions.
• Optimize model performance, scalability, and reliability in production environments.
• Work with cloud platforms (especially AWS) to deploy and manage ML infrastructure.
• Implement model evaluation metrics and monitoring systems to track performance.

What will make you successful in this role:

• 5+ years of experience in machine learning engineering or related roles, with a strong focus on deploying and maintaining ML models in production.
• Strong programming skills in Python, with expertise in relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of machine learning algorithms, statistical modeling, and evaluation techniques.
• Experience with building and managing data pipelines for machine learning (feature stores, data validation).
• Familiarity with MLOps practices and tools for model deployment, monitoring, and versioning.
• Experience with cloud platforms like AWS, GCP or Azure.
• Proficiency in containerization technologies (e.g., Docker, Kubernetes) for deploying ML applications.
• Experience with stream processing technologies for real-time ML applications is a plus.

What we offer: 

• Competitive salary: range from 4500 EUR/month (gross), plus bonuses. We are open to considering your compensation based on your skills and experience. 
• Focus on growth: Budget for professional development, conferences, and regular performance reviews. 
• International projects: Work with clients from around the world. 
• Impactful work: Build platforms from scratch and see direct results. 
• Flexible work environment: Flexible hours and location, with trust and ownership given to employees. 
• Supportive culture: Friendly team environment with regular social events. 
• Wellness benefits: Annual budget for Benme wellness platform. 
• Extra perks: Tech tool gift, birthday day off, and other celebrations.