AI Engineer II / AI Engineer III

Responsibilities

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Develop innovative AI solutions for challenging business problems.

Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.

Build backend systems that interact with other microservices.

Train and optimize machine learning models.

Engineer machine intelligence systems and infrastructure for real-world production use at scale.

Explore data features and manipulate data with SQL and scripts.

Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like Scikit-learn)

Should be able to understand the problem statement and be able to justify the usage of AI/ML as a solution

Be able to quickly prototype and provide results

Be able to understand requirements and fine tune them to provide results for concrete problems

Key Qualifications

Strong coding experience in Python and working with related libraries (NumPy/Pandas/matplotlib).

Familiarity with machine learning frameworks (Keras/PyTorch/Tensorflow) and relevant libraries.

Excellent knowledge and good practical skills in major ML algorithms as applied to Natural Language Processing and Computer Vision.

Practical experience with deep learning projects is highly valued.

Ability to improve the accuracy, runtime, scalability and reliability of machine intelligence systems.

Strong in understanding underlying math and algorithms.

Passion for continuing to learn state-of-the-art techniques in ML/Data science.