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Associate Full Stack Machine Learning Engineer Jobs in Georgia

Senior Machine Learning Engineer

Atlanta, GA

$117.80K - $155.30K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which serves as Inovalon's central AI and machine learning hub. This team partners with Provider, Payer, and ...

Senior Machine Learning Engineer

Atlanta, GA · On-site +1

$117.80K - $155.30K/yr

The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which ... Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$117.80K - $155.30K/yr

The Senior Machine Learning Engineer will design, train, and deploy machine learning models ... full-stack ML feature work. • Healthcare domain experience or exposure to HIPAA-regulated ...

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Associate Full Stack Machine Learning Engineer information

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Georgia? The most popular types of Full Stack Machine Learning Engineer jobs in Georgia are:
What cities in Georgia are hiring for Associate Full Stack Machine Learning Engineer jobs? Cities in Georgia with the most Associate Full Stack Machine Learning Engineer job openings:
Machine Learning Engineer

Other

Posted 18 days ago


Job description

Job Description Machine Learning Engineer Roles and Responsibilities Lead the end-to-end architecture and development of machine learning solutions. Implement machine learning algorithms into services and pipelines to be consumed at large-scale. Engineer large scale development systems using full-stack, distributed shallow and deep-learning technologies and big data technologies.

Architect and develop a highly scalable, distributed, multi-tenant set of microservices backend solutions. Be a part of a highly productive and creative engineering team What Are We Looking For in This Role. Highly Preferred: MS or PhD in Machine learning, Computer Vision, Natural Language Processing or a related field.

5+ years of experience architecting and developing AI and machine learning applications Ability to think critically, question assumptions and devise solutions to challenging technical problems. Hands-on experience with one or more of the following technologies: --Machine Learning: TensorFlow, PyTorch, Spark ML/MLib etc. --ML Technologies: NLP, Computer Vision and related technologies.

--Back end web-services: Java, Spring Boot, Python, Kubernetes, Docker - Big Data technologies: Kafka, Apache Spark, MapR, Hbase, Hive, HDFS etc. Minimum Qualifications Bachelor's Degree Relevant Experience or Degree in: Computer Science, Management Information Systems, Business or related field Typically Minimum 6 Years Relevant Exp Four-year college degree and 6 or more years, and/or a high school diploma with 8 or more years professional experience with full life cycle design and development