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Machine Learning Ops Engineer

The Judge Group Malvern, PA

  • Expired: over a month ago. Applications are no longer accepted.
Job Description
Location: Malvern, PA
Salary: 30-62hr
Description: Our client is currently seeking a Machine Learning Ops Engineer.  They are an AWS shop, So someone with strong cloud knowledge and experience with ML Ops would be great.

Qualifications & Requirements:
  •  1.Sagemaker 
  •  2.Glue ETL 
  • 3.Spark 
  •  4.Kubernetes 
  • 5.Docker/Container 

  • Solid understanding of machine learning fundamental 
  • Bring your deep expertise in cloud architecture / DevOps to analyze and recommend enterprise-grade solutions for operationalizing AI / ML analytics 
  • Develop end-to-end (Data/Dev/ML)Ops pipelines based on in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably. 
  • Designs and builds pipelines that shorten development cycles for our software and AI/ML systems: 
  • Build and automate our AI/ML workstream from data analysis, experimentation, operationalization, model training, model tuning to visualization. 
  • Improve and maintain our automated CI/CD pipeline. 
  • Assist data scientists with model evaluation and training (includes versioning, compliance and validation). 
  • Build and maintain data pipelines for analytics, model evaluation and training (includes versioning, compliance and validation). 
  • Work with AI/ML practitioners to solve complex problems and create unique solutions for MLOps. 
  • Continuously evaluate the latest packages and frameworks in the ML ecosystem 
  • Experience in configuring AWS environment (i.e. EC2, S3, DB’s etc.) Data(Glue, EMR,etc.) and AWS Services (Step & Lambda Functions etc.) 
  • Familiarity with container technologies including AWS Fargate, Docker and Kubernetes 
  • Proficient in AWS, DevOps, CI/CD and Microservices 
  • Expert in Container technologies like Kubernetes and Docker 
  • Experience with Full Stack Development including Python, Java, Spring Boot, Typescript, JavaScript and Angular 
  • Experience developing and managing packages and APIs using Python 
  • Knowledge in web service development, design and specifications writing with REST 
  • Must be proactive, demonstrate initiative and be a logical thinker 
  • Excellent analytical, problem solving, and communication and collaboration skills 
  • General knowledge of agile software development concepts and processes Bonus points if: 
  • AWS Certified Machine Learning - Specialty Preferred  
•Experience in Domino Data platform certification Requirement]
  • [Experience Requirement]
  • [Management Requirement]
  • [Process Oversight Requirement]
  • [Specific Skills Requirement]
  • [Additional Requirements]

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