Remote Intermediate Machine Learning Engineer

Description:

• Employment Hero is seeking an Intermediate Machine Learning Engineer to play a crucial role in developing and deploying machine learning models and systems.
• The successful candidate will apply a wide range of machine learning algorithms, including supervised, unsupervised, and reinforcement learning, to real-world problems.
• Responsibilities include data preprocessing techniques, model performance assessment, hyperparameter tuning, and deploying machine learning models to production environments.
• Proficiency in Python, common ML libraries like TensorFlow and scikit-learn, and working with databases (SQL and NoSQL) is required.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for scalable model deployment is essential.
• Strong software engineering principles, modular code design, and testing frameworks knowledge are necessary for this role.

Requirements:

• Proficiency in various machine learning algorithms and their applications.
• Knowledge of data preprocessing techniques, model performance assessment, and hyperparameter tuning.
• Experience in deploying machine learning models to production environments using containerization and orchestration tools.
• Familiarity with cloud platforms for scalable model deployment and data storage.
• Strong programming skills in Python and familiarity with common ML libraries.
• Understanding of software engineering principles, modular code design, and testing frameworks.
• Proficiency in working with databases (SQL and NoSQL).

Benefits:

• Enjoy working in a culture that values revolutionizing employment and offers flexibility in a remote-first business.
• Benefit from a generous budget for your home office and cutting-edge tools and technology.
• Receive 20 days Annual Leave, plus VN Public Holidays, and funds for professional development and English learning courses.
• Access to a Premium Healthcare Insurance Program for you and your loved ones, along with full gross salary paid social insurance.
• Participate in sports club activities funded by Employment Hero and monthly team bonding events.
• Be part of reward and recognition programs and the Employee Share Option Program.
• Attend the Annual Global Gathering in various locations, with the next one planned in Bali in September 2024.