Machine Learning Engineer


  • Machine Learning (ML)
  • Agile
  • Object-Oriented Programming
  • Git
  • Big data
  • Graph databases
  • Data
  • Messaging
  • NumPy
  • Continuous integration

Job Description

Location: Durham, NC
Salary: TBD
Description: Our client is currently seeking a Machine Learning Engineer

Qualifications & Requirements.

  • 5+ years of proven experience in implementing Big data solutions in data analytics space.
  • 1+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker.
  • Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.
  • Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, tensorflow, etc.).
  • Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
  • Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies.
  • Strong knowledge of developing highly scalable distributed systems using Open-source technologies.
  • Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).
  • Solid experience in Agile methodologies (Kanban and SCRUM).


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