Machine Learning Architect
Location
Alpharetta, GA | United States
Job description
Title: Machine Learning Architect (hands-on, ML apps, product engineering)@ Alpharetta , GA
Terms of Hire: Full Time.
Job description: Machine Learning Architect 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.
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 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
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.
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