Sr Machine Learning Operations Engineer

Blue River Technology; United States; Remote; USD 226,000 - 275,000; Full time

Job summary

A leading technology firm is seeking an MLOps Engineer for a fully remote full-time position. You will be responsible for designing, developing, and implementing MLOps solutions to enhance machine learning model delivery. Candidates should possess a Master's degree in Computer Science and extensive experience in cloud computing and machine learning frameworks.

Qualifications

• Master’s degree and 4 years related experience required.
• Skills in cloud platforms, MLOps, and CI/CD processes are critical.
• Experience with container orchestration and data management is essential.

Responsibilities

• Lead design and implementation of MLOps solutions.
• Build scalable data pipelines and model systems.
• Automate model deployment and infrastructure provisioning.

Skills

Python

Java

ETL workflows

AWS GLUE

Spark

Kafka

HDFS

BigQuery

PyTorch

TensorFlow

Kubernetes

Terraform

Grafana

Datadog

Education

Master’s degree in Computer Science

Tools

GitLab

GitHub

Jenkins

Databricks

SageMaker

CloudFormation

Airflow

GCP Composer

Job description

• 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.