Lead Applied Machine Learning software engineering technical competency
Identify, research and realize key machine learning technical capabilities in the industry
Lead design and build mid to high complexity machine learning systems
building data pipelines in getting the data required to build and evaluate ML models.
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications.
Apply applicable policies and standards while working toward specific objective.
Independently directs implementation of new initiatives for machine learning technology solutions.
Job Qualifications
Bachelor’s Degree (MS+ is preferred) in Computer Science/Engineering or a related quantitative discipline.
Minimum of 7+ years full time hands-on software engineering experience
Minimum of 3-5 years full time hands-on machine learning or artificial intelligence software engineering experience
3+ years of experience with programming languages such as Python, Java.
Experience in deploying machine learning models in microservice architecture on a cloud environment.
Experience in building models for deep learning, speech recognition and natural language processing systems
Experience using frameworks for machine learning and data science like scikit-learn, keras, pandas, numpy, XGBoost, TensorFlow, pytorch.
New Talent
Deerfield Illinois
United States
Customer Service / Call Center
(No Timezone Provided)
Lead Applied Machine Learning software engineering technical competency
Identify, research and realize key machine learning technical capabilities in the industry
Lead design and build mid to high complexity machine learning systems
building data pipelines in getting the data required to build and evaluate ML models.
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications.
Apply applicable policies and standards while working toward specific objective.
Independently directs implementation of new initiatives for machine learning technology solutions.
Job Qualifications
Bachelor’s Degree (MS+ is preferred) in Computer Science/Engineering or a related quantitative discipline.
Minimum of 7+ years full time hands-on software engineering experience
Minimum of 3-5 years full time hands-on machine learning or artificial intelligence software engineering experience
3+ years of experience with programming languages such as Python, Java.
Experience in deploying machine learning models in microservice architecture on a cloud environment.
Experience in building models for deep learning, speech recognition and natural language processing systems
Experience using frameworks for machine learning and data science like scikit-learn, keras, pandas, numpy, XGBoost, TensorFlow, pytorch.