Machine Learning Engineer

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