Machine Learning Engineer
We’re looking for a Machine Learning Engineer with hands-on expertise in the design, implementation, DevOps, and management of deep learning models.
You will work with other ML engineers to understand requirements and enhance our framework to load and prepare a dataset, train, validate models and generate reports. You are an expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from databases to our training framework and into technical validation reports. You possess excellent communication skills and strive in a fast-paced and ever-changing environment. Above all, you are passionate about machine learning, deep learning and how to wield it to meet technical requirements and empower other parts of the business.
Responsibilities
Architect, design, build and maintain our machine learning infrastructure;
Implement machine learning algorithms, tools and custom solutions to empower the engineering teams;
Design training reports to validate models, detect bias and dataset inconsistencies;
Innovate and keep yourself on the cutting edge of machine learning and artificial intelligence.
Minimum qualifications
BS or MS in computer science, computer engineering, software engineering, or any other equivalent field;
2-5 years of experience in machine learning, or demonstrated experience;
Experience in natural language understanding, computer vision, machine learning, data mining, deep learning and/or artificial intelligence;
Strong programming skills in one or more of the following: Python, C/C++, Java, Scala, R;
SQL, NoSQL and data architecture skills;
Excellent analytical skills and an ability to explore complex data sets and extract insights;
Experience applying machine learning to business challenges;
Experience in Deep Learning, Neural Networks and Computer Vision;
Enthusiasm to work in a fast-paced engineering team.
Desirable assets
Experience with training frameworks like TensorFlow;
Hands-on experience with large-scale data processing;
Experience leveraging cloud platforms like AWS to automate, process and distribute tasks.
Technical environment
Python, C++, Scikit-learn, Keras, Tensorflow, PostgreSQL, Linux, AWS.
by via developer jobs - Stack Overflow
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