Senior Machine Learning Operations Engineer, Blue River Technology

$226.2-275k

AWS

Kubernetes

GCP

Python

Java

Kafka

Airflow

Tensorflow

Terraform

Jenkins

Spark

Kubeflow

Grafana

PyTorch

BigQuery

Sagemaker

Datadog

Mid and Senior level

Remote from US

Agriculture machinery company

Be an early applicant

Agriculture machinery company

201-500 employees

B2BAgricultureMachine Learning

Be an early applicant

$226.2-275k

AWS

Kubernetes

GCP

Python

Java

Kafka

Airflow

Tensorflow

Terraform

Jenkins

Spark

Kubeflow

Grafana

PyTorch

BigQuery

Sagemaker

Datadog

Mid and Senior level

Remote from US

201-500 employees

B2BAgricultureMachine Learning

Company mission

To create intelligent machinery that solves monumental challenges for our customers.

Job

Company

Role

Who you are

Master’s degree in Computer Science or related field
4 years of related experience
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)

What the job involves

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

Our take

The global farming market is rigorously growing to keep up with demand. Blue River Technology is a farming equipment maker using computer vision, machine learning, robotics and product management to develop machines that optimize chemical usage and reimagining routine processes within farming.

Acquired by one of the largest names in agriculture - John Deere - Blue River commits to remaining independent in ways of working and culture. The company is also stepping into new-world territory working with AI to combat invasive weeds and other large-scale farming issues.

It’s impressive what has been developed by Blue River Technology for an industry that is so heavily relied upon, yet has been slower to digitize. It will be exciting to see how the company develops its idea of autonomous farming into the future picture of the industry.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

15% employee growth in 12 months

Glassdoor (3.8)

Company

Funding (last 2 of 3 rounds)

Dec 2015

$17m

SERIES B

Mar 2014

$10m

SERIES A

Total funding: $30.1m

Company HQ

Santa Clara, CA

Leadership

Willy Pell

(CEO)

Willy joined Blue River Technology in 2012 as a Senior Director of Autonomous Systems, they then became the VP of Autonomy and New Ventures in 2021 and CEO in 2023.

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