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Company

Original Job Post

NAVEX · 1 week ago

Senior Staff Software Engineer, Machine Learning Operations

United States

Full-time

Remote

Senior Level

$125K/yr - $125K/yr

8+ years exp

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ConsultingInformation Technology

Hiring Manager

Amber Battle

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Responsibilities

Set up and maintain infrastructure on cloud platforms such as AWS and Azure for machine learning workloads

Collaborate with DevOps teams to ensure efficient deployment and scaling of machine learning models

Design and implement end-to-end machine learning pipelines, incorporating tools and services for data preprocessing, model training, and deployment

Develop and maintain automated workflows for continuous integration and continuous deployment (CI/CD) of machine learning models

Deploy machine learning models into production environments and manage their lifecycle

Implement monitoring solutions to track model performance, data drift, and other relevant metrics

Work closely with data scientists to understand model requirements and assist in model development

Collaborate with software engineers to integrate machine learning components into applications and services

Utilize machine learning frameworks to build and deploy models

Stay updated on the latest advancements in MLOps tools and technologies and recommend improvements to existing workflows

Incorporate FinOps principles into cloud cost management strategies, optimizing machine learning workloads for cost efficiency and collaborate with finance and hosting operations to monitor, analyze, and control expenses

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Full-Stack DevelopmentSaaS SystemsMLOpsCloud Platforms AWSCloud Platforms AzureMachine Learning Frameworks TensorFlowMachine Learning Frameworks PyTorchMachine Learning Frameworks Scikit-learnContainerization DockerContainerization KubernetesModel Pipeline ToolsData Pipeline Tools (Apache Kafka)CI/CD PrinciplesScripting PythonScripting BashProblem-SolvingCommunicationTeam CollaborationFinOps PrinciplesCloud Cost Management

Required

A bachelor’s degree in computer science or be good enough that we won’t notice through equivalent prior work-related experience

8+ years full-stack software development experience, ideally in a SaaS or micro service-based system

Proven experience in MLOps or related roles

Strong proficiency in cloud platforms, especially AWS or Azure

Experience in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)

Experience with model pipeline and registry tools, detecting and preventing model drift, automating model monitoring, and ensuring model accuracy

Experience with data pipeline tools, such as Apache Kafka, and distributed processing systems, such as Apache Spark

Solid understanding of CI/CD principles and tools

Strong scripting and programming skills (e.g., Python, Bash)

Excellent problem-solving skills

Excellent verbal and written communication skills and a commitment to participate effectively with a team and collaborate with people across a variety of levels with diverse backgrounds