Objectives of this role

Design and develop machine learning algorithms and deep learning applications
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

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 and 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

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AI / ML Engineer

Job Description

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