ML Ops Engineer
2 weeks ago
Title:
ML Ops Engineer
@ Alpharetta
,
GA
Terms of Hire: Full time
Job description:
ML Ops Engineer with 5-8 years of experience who will be responsible for taking Data Science models and scaling them out to production by creating DevOps pipelines that automate the data collection, prep, transform, analyze, experiment, train, validate, serve, monitor, etc. stages.
Responsibilities:
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.
Skills Highly Preferred:
Strong DevOps, Data Engineering and ML background w
ith
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
CLIENT Minimum Qualifications
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; t
wo or more modern programming languages used in the enterprise, e
xperience working with various APIs, external Services, e
xperience with both relational and NoSQL Databases.
What are the 3-4 non-negotiable requirements of this position?
5+ years of experience MUST HAVE RECENT hands-on coding experience Senior, Lead, SME, or Architect levels only
What are the nice-to-have skills?
React tools Agile environment Familiar with AWS, Docker, Kubernetes, JIRA 7+ years of experience
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.
Department: Scout
This is a full time position
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