Sr Machine Learning Operations Engineer

Job Responsibilities

• Lead the design, development and implementation of on-premise and cloud MLOps solutions that support the delivery of machine learning model.
• Improve stability, security, efficiency and scalability of systems.
• Build scalable and efficient data pipelines and model training and deployment systems.
• Develop and maintain monitoring and management tools to ensure the reliability and performance of on-premises MLOps infrastructure.
• Drive automation initiatives for model deployment and infrastructure provisioning.

Qualifications

• Master’s degree in Computer Science or related field.
• 4 years of related experience.
• Required skills:
  • Application development with object-oriented programming languages, including Python/Java (4 yrs).
  • Experience building ETL workflows, data warehouse solutions, and data management using AWS GLUE, Spark, Kafka, RDBMS, HDFS, and BigQuery (4 yrs).
  • Experience in developing and maintaining full model lifecycle solutions, including model training, evaluation, inference, deployment, and monitoring using ML frameworks including PyTorch/TensorFlow, workflow orchestration tools including Kubeflow/Airflow, cloud workflow platforms including Databricks/SageMaker, and APM monitoring tools including Grafana and Datadog (4 yrs).
  • Build infrastructure and SDK tooling to provide data scientists and ML Engineers with access to specialized data augmentation, curation, and visualization tools for CVML model development (3 yrs).
  • Create CI/CD build and release pipelines with GitLab/GitHub/Jenkins for code and model deployment, and using Terraform/CloudFormation for infrastructure deployment (2 yrs).
  • Analyze and build job orchestration services to scale machine learning tasks on both on-premises and cloud infrastructure in a cost-effective way, including Kubernetes, Airflow, GCP Composer, and Kubeflow (3 yrs).
  • Experience with container orchestration with Kubernetes, microservices architecture, and cloud platforms including AWS and GCP (3 yrs). 
• This is a 100% remote position.

Full time. $226,158 - $275,000/year. Please visit https://bluerivertechnology.com/join-us/ to apply. 

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