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Machine Learning Architect

KLM Careers Alpharetta, GA

  • Expired: October 06, 2021. Applications are no longer accepted.

Machine Learning Architect

Alpharetta, Georgia

The ML Architect is esponsible for overseeing Application systems, architecture, design, data workflow, logical processes, and system interfaces. Assure synergy between software and hardware architecture to maximize that relationship. Determine and develop architectural approaches and solutions, conduct business reviews, document current systems, and develop recommendations on how to proceed with the applications. Responsible for ensuring optimal application and system performance.

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


1. Bachelor's Degree

2. Relevant Experience or Degree in: Computer Science, Management Information Systems, Business or related field

3. Typically Minimum 8+ Years Relevant Exp

4. Four-year college degree and 8 or more years, and/or a high school diploma with 10 or more years professional experience in full life cycle design and development to include IT architecture, banking industry experience, and understanding client requirements

5. MS or PhD in Machine learning, Computer Vision, Natural Language Processing or a related field. - Highly Preferred:

6. 5+ years of experience architecting and developing AI and machine learning applications - Highly Preferred:

7. Hands-on experience with one or more of the following technologies: - Highly Preferred: (Please indicate which you have experience with:)

--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.

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Alpharetta, GA



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