Cedent Consulting
Machine Learning Architect
Cedent Consulting, Alpharetta, Georgia, United States, 30239
Title: Machine Learning Architect (hands-on, ML apps, product engineering) @ Alpharetta, GATerms of Hire: Full Time.
Job description:Machine Learning ArchitectRoles and ResponsibilitiesLead 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.CLIENT Minimum Qualifications
Bachelor's Degree.Relevant Experience or Degree in: Computer Science, Management Information Systems, Business or related field.Typically Minimum 6 Years Relevant Experience.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.You Will Enjoy:An opportunity to be a part of a great culture, an awesome team, a challenging work environment, and some fun along the way!Apply today to learn more and be part of our Growth story.All applications will be kept strictly confidential and once shortlisted, our team will be in touch with you for further discussions.
Department: ScoutThis is a full-time position.
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Job description:Machine Learning ArchitectRoles and ResponsibilitiesLead 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.CLIENT Minimum Qualifications
Bachelor's Degree.Relevant Experience or Degree in: Computer Science, Management Information Systems, Business or related field.Typically Minimum 6 Years Relevant Experience.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.You Will Enjoy:An opportunity to be a part of a great culture, an awesome team, a challenging work environment, and some fun along the way!Apply today to learn more and be part of our Growth story.All applications will be kept strictly confidential and once shortlisted, our team will be in touch with you for further discussions.
Department: ScoutThis is a full-time position.
#J-18808-Ljbffr