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Company

Apixio · 1 day ago

Senior MLOps Engineer

United States

Full-time

Remote

Senior Level

$152K/yr - $228K/yr

5+ years exp

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AnalyticsArtificial Intelligence (AI)

H1B Sponsor Likely

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Responsibilities

Design, implement, and maintain scalable MLOps infrastructure and pipelines using Apache Spark, Python, and other relevant technologies.

Collaborate with data scientists and software engineers to deploy machine learning models into production environments.

Develop and automate CI/CD pipelines for model training, testing, validation, and deployment.

Implement monitoring, logging, and alerting solutions to track model performance, data drift, and system health.

Optimize and tune machine learning workflows for performance, scalability, and cost efficiency.

Ensure security and compliance requirements are met throughout the MLOps lifecycle.

Work closely with DevOps teams to integrate machine learning systems with existing infrastructure and deployment processes.

Provide technical guidance and support to cross-functional teams on best practices for MLOps and model deployment.

Stay updated on emerging technologies, tools, and best practices in MLOps and machine learning engineering domains.

Perform troubleshooting and resolution of issues related to machine learning pipelines, infrastructure, and deployments.

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.

MLOpsApache SparkPythonCI/CD pipelinesMachine learning conceptsAWSAzureGoogle Cloud PlatformMLFlowTensorFlowPyTorchScikit-learnDockerKubernetesGitDatabricksJenkinsGitLab CIAzure DevOpsHealthcare Domain expertiseNLP models

Required

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.

Proven experience (5+ years) as a MLOps Engineer, Software engineer, DevOps Engineer or related role.

Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

Strong understanding of machine learning concepts, algorithms, and frameworks such as MLFlow, TensorFlow, PyTorch, or Scikit-learn.

Knowledge of big data processing technologies such as Apache Spark for handling large-scale data and distributed computing.

Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP) and familiarity with services like AWS SageMaker, Azure Machine Learning, or Google AI Platform.

Understanding of containerization technologies like Docker and container orchestration tools like Kubernetes for managing machine learning workflows in production environments.

Proficiency in version control systems (e.g., Git) and CI/CD tools for automating the deployment and management of machine learning models.

Strong problem-solving skills and attention to detail, with the ability to troubleshoot complex issues in distributed systems.

Preferred

Hands-on experience with Databricks for data engineering and analytics (nice to have).

Experience designing and implementing CI/CD pipelines for machine learning workflows using tools like Jenkins, GitLab CI, or Azure DevOps.

Knowledge of version control systems (e.g., Git) and collaborative development workflows.

Masters degree in information technology, computer science, software engineering, or data science preferred.

Healthcare Domain expertise.

Experience productionizing large NLP models.

Benefits

Exceptional benefits, including medical, dental and vision, FSA/HSA

Generous vacation policy

Company

Apixio

Glassdoor

4.0

Connected Care Platform at the intersection of health plans and providers

Founded in 2009

San Mateo, California, USA

201-500 employees

http://www.apixio.com

H1B Sponsorship

Apixio has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (9)

2022 (10)

2021 (11)

2020 (5)