machine learning engineer

The company provides recruitment services for a global leader in the technology industry, focusing on the development of AI-driven solutions to enhance operational efficiency and customer experiences.

• Design and implement machine learning models using Python, TensorFlow, or PyTorch to address specific business problems;
• Collaborate with data scientists and software engineers to deploy models into production environments;
• Optimize and fine-tune models for scalability, accuracy, and efficiency in real-world applications;
• Develop and maintain pipelines for data preprocessing, feature engineering, and model training;
• Conduct experiments to evaluate model performance and iterate on improvements based on business needs.

• Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch;
• Strong background in data structures, algorithms, and statistical modeling techniques;
• Experience with cloud platforms like AWS, Google Cloud, or Azure for model deployment and scaling;
• Knowledge of SQL and databases for data extraction and preprocessing tasks;
• Familiarity with version control systems and collaborative development workflows;
• Understanding of MLOps practices for model monitoring, logging, and continuous integration;
• Experience with hyperparameter tuning and model optimization techniques;
• Ability to work independently and manage multiple tasks in a fast-paced environment.

• No conditions specified