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Blue River Technologies

Sr Machine Learning Operations Engineer

United States

RemoteFull time roleSenior Level

4 months ago

About the Job

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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About the Company

Blue River Technologies Logo

Blue River Technologies

Sunnyvale, CA, USA

51-100

In 2011, two Stanford graduate students, Jorge (the former head of precision agriculture at Trimble) and Lee (a PhD student and roboticist), met while taking Steve Blank's Lean LaunchPad course. They converged on a wild ambition: to make farming more sustainable through robotics and computer vision. Together, they built and tested their idea in California's Central Valley - proving the applicability of machine learning, computer vision, and robotics to the field of agriculture. With an idea, support from friends & family, and a grant from the NSF, Blue River Technology was born. The first smart machine—the lettuce bot—focused on lettuce thinning, a traditionally time-intensive and expensive task of eliminating unwanted lettuce seedlings, The lettuce bot automated this arduous process by taking images, identifying which plants to remove, spraying them, and verifying the accuracy and performance of the system, all in real time. See & Spray is the next generation of Blue River's technology. See & Spray machines leverage deep learning to enable our machines to identify a greater variety of plants—both crops & weeds—with better accuracy, and then make crop management decisions on the spot. Custom nozzle designs enable <1-inch spray resolution, and powerful software powers faster and more agile crop protection. See & Spray is currently operating in weeding for cotton and soybeans.