ML Ops Engineer - CEDENT
Alpharetta, GA
About the Job
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:
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.
- 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.
Source : CEDENT