AI ML Developer

About the Role

This AI ML Developer role at fanplay iot involves building efficient, data-driven artificial intelligence systems that advance predictive automation capabilities.

As a key member of the team, you will be responsible for designing and developing machine learning algorithms and deep learning applications, solving complex problems with multilayered data sets, and optimizing existing machine learning libraries and frameworks.

You will collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications, ensuring algorithms generate accurate user recommendations.

Key Responsibilities

• Study and transform data science prototypes and apply appropriate machine learning algorithms and tools.
• Run machine learning tests and experiments, and document findings and results.
• Train, retrain, and monitor machine learning systems and models as needed.
• Construct optimized data pipelines to feed machine learning models.
• Consult with managers to determine and refine machine learning objectives.
• Extend existing machine learning libraries and frameworks.

Skills & Qualifications

• Impeccable analytical and problem-solving skills.
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch.
• Familiarity with data structures, data modeling, and software architecture.
• Excellent time management and organizational skills.
• Desire to learn.
• Preferred qualifications: proven experience as a machine learning engineer or similar role, familiarity with Python, Java, and R, excellent communication and collaboration skills, innovative mind with a passion for continuous learning.
• General knowledge of building machine learning systems.
• Bachelor's degree (or equivalent) in computer science, mathematics, or related field.

What You'll Learn

This role offers a unique opportunity to learn from experienced professionals and contribute to the development of cutting-edge machine learning systems.

You will gain hands-on experience with machine learning frameworks, data structures, and software architecture, and develop a deep understanding of probability, statistics, and algorithms.

As you work on complex problems and optimize existing machine learning libraries and frameworks, you will develop your analytical and problem-solving skills, and learn to collaborate effectively with cross-functional teams.

Resume Tip

When applying for this role, be sure to highlight your experience with machine learning frameworks, data structures, and software architecture, as well as your analytical and problem-solving skills.

Use specific examples to demonstrate your ability to design and develop machine learning algorithms and deep learning applications, and to collaborate effectively with cross-functional teams.

Emphasize your desire to learn and your passion for continuous learning, and be sure to include any relevant certifications or training programs you have completed.