Machine Learning Engineer

About the job

🤠 What you'll be doing

• Design, develop, and deploy machine learning models in production environments
• Build and maintain scalable data pipelines to support model training and inference
• Collaborate with data scientists to translate prototypes into robust, production-ready solutions
• Optimize machine learning models for performance, scalability, and reliability
• Implement MLOps best practices for continuous integration, delivery, and monitoring of ML systems
• Develop APIs and services to expose machine learning models to applications and users
• Troubleshoot and debug issues in machine learning workflows and infrastructure
• Evaluate and implement new tools, frameworks, and platforms to improve the ML lifecycle
• Work closely with software engineers and data engineers to ensure seamless integration
• Document processes, architectures, and solutions for maintainability and knowledge sharing

🤓 Skills & qualifications

• 3+ years of experience as an ML engineer or in a related role
• Strong programming skills in Python and familiarity with frameworks like TensorFlow, PyTorch, or Scikit-learn
• Proficiency in deploying models using containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes)
• Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) for machine learning workflows
• Expertise in data engineering and big data technologies (e.g., Spark, Hadoop)
• Knowledge of MLOps tools and practices (e.g., MLflow, Airflow, CI/CD pipelines)
• Familiarity with software engineering principles, version control systems, and APIs
• Strong problem-solving skills and the ability to work on cross-functional teams
• Fluent in [Language A] and [Language B] + professional-level English
• Passion for creating scalable, reliable, and impactful machine learning solutions

😍 Movify offers

• Exciting opportunities to work on state-of-the-art machine learning applications
• A culture that values innovation, autonomy, and collaboration
• Ongoing training and certifications to keep you ahead in the fast-evolving ML landscape
• Access to cutting-edge tools and technologies
• Flexible work arrangements and a focus on work-life balance
• Competitive salary with performance-based incentives
• A supportive team environment that encourages learning and growth
• Regular team-building activities and a vibrant, inclusive company culture
• The chance to shape the future of machine learning applications at our client side