Sr Machine Learning Operations Engineer

Sorry, this job was removed at 08:17 p.m. (CST) on Tuesday, Jul 08, 2025
Hiring Remotely in US
Remote
Artificial Intelligence • Software
The Role

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. 

#LI-DNI

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The Company
Sunnyvale, CA
182 Employees
Year Founded: 2011

What We Do

We’re Blue River, a team of innovators driven to radically change agriculture by creating intelligent machinery. We empower our customers – farmers - to implement more sustainable solutions: optimize chemical usage, reimagining routine processes, and improving farming yields year after year. We believe that focusing on the small stuff – pixel-by-pixel and plant-by-plant - leads to big gains. By partnering with John Deere, we are innovating computer vision, machine learning, robotics and product management to solve monumental challenges for our customers.

Our people are at the heart of what we do. Through cross-discipline collaboration, this mission-driven and daring team is eager to define the new frontier of agricultural robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won’t give up until we’ve made a tangible and positive impact on agriculture.

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