ML Data Scientist

$86,600 - $155,200 yearly
  • The Resume Review - Recruiting Department
  • Alpharetta, GA, USA
  • Jan 14, 2022
Full time Manufacturing

Job Description

Job description
Summary of This Role
Works throughout the software development life cycle and performs in a utility capacity to create, design, code, debug, maintain, test, implement and validate applications with a broad understanding of a variety of languages and architectures.  Analyzes existing applications or formulate logic for new applications, procedures, flowcharting, coding and debugging programs.  Maintains and utilizes application and programming documents in the development of code.  Recommends changes in development, maintenance and system standards.  Creates appropriate deliverables and develops application implementation plans throughout the life cycle in a flexible development environment.
Machine Learning Engineer (Hands-on development; product engineering)
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
  • Level: Senior or Above