ML Ops Engineer (Alpharetta, GA)

• Design and build scalable machine learning services and data platforms.
• Utilize benchmarks, metrics, and monitoring to measure and improve services.
• Research, design, implement and validate cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes.
• Work with data scientists to implement ML, AI and NLP techniques for article analysis and attribution.

• Strong DevOps, Data Engineering and ML background with AWS
• Experience with one or more of MLOps tools: ModelDB, Kubeflow, Pachyderm, and Data Version Control (DVC)etc. 
• Experience in Distributed computing, Data pipelines, and AI/ML.
• Experience setting up and optimizing DBs for production usage for ML app context
• Experience in Docker, Kubernetes, Jenkins.
• Experience in Spark, Kafka, HDFS, Cassandra
• Strong Python, Apache Spark, Kubernetes 

• BS in Computer Science, Information Technology, Business / Management Information Systems, or related field
• Typically, minimum of 4 years - Professional Experience in Coding, Designing, Developing and Analyzing Data.  Typically has an advanced knowledge and use of one or more front / back end languages / technologies and a moderate understanding of the other corresponding end language / technology from the following but not limited to; two or more modern programming languages used in the enterprise, experience working with various APIs, external Services, experience with both relational and NoSQL Databases.

• 5+ years of experience MUST HAVE RECENT hands-on coding experience Senior, Lead, SME, or Architect levels only

• React tools Agile environment Familiar with AWS, Docker, Kubernetes, JIRA 7+ years of experience

• 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.

Department: Scout
This is a full time position