Overview:

Infomaticae is looking for a machine learning engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize Infomaticae's machine learning models and algorithms.

Job Objectives:

• Design and develop machine learning algorithms and deep learning applications and systems for Infomaticae
• Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
• Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications
• Identify differences in data distribution that could potentially affect model performance in real-world applications
• Ensure algorithms generate accurate user recommendations
• Stay up to date with developments in the machine learning industry

Roles & Responsibilites:

• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field

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