200+ applicants

Company

CitiusTech · 1 week ago

MLOps Engineer

United States

Contract

Remote

Senior Level, Lead/Staff

10+ years exp

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AnalyticsArtificial Intelligence (AI)

H1B Sponsor Likely

Hiring Manager

Ganesh N.

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Responsibilities

Architect for scalable, cost-efficient, reliable and secure ML solution.

Design, implement and deploy ML solutions in AWS.

Select and justify appropriate ML technology within AWS and Identify appropriate AWS services to implement ML solutions.

Design, build, and maintain infrastructure required for efficient development, deployment, and monitoring of machine learning models.

Implement CI/CD pipelines for machine learning applications to ensure smooth development and deployment processes.

Collaborate with data scientists to understand and implement requirements for model serving, versioning, and reproducibility.

Monitor and optimize model performance in production, identifying and resolving issues proactively to ensure optimal results.

Automate repetitive tasks to improve efficiency and reduce the risk of human error in MLOps workflows.

Maintain documentation and provide training to team members on MLOps best practices, ensuring knowledge sharing and collaboration within the team.

Stay updated with the latest developments in MLOps tools, technologies, and methodologies to remain current and effective in your role.

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.

MLOpsAWSPythonCI/CDTensorFlowPyTorchScikit-learnDockerKubernetesAWS CDKCloudformationJavaC++ScalaMLflowTectonSeldonAWS EMRApache SparkA/B testing

Required

10+ Years of experience

Bachelor's or master’s degree in computer science, Engineering, or a related field

AWS Certified Machine Learning – Specialty (Mandatory)

3+ years of experience in MLOps, DevOps, or related fields

Strong programming skills in Python, GoLang with experience in other languages such as Java, C++, or Scala being a plus

Experience with ML frameworks such as TensorFlow, PyTorch, and/or scikit-learn

Proficiency with CI/CD tools such as Github Actions

Hands-on experience with AWS

Familiarity with containerization and orchestration tools like Docker and Kubernetes

Knowledge of infrastructure-as-code tools such as AWS CDK and Cloudformation

Strong understanding of machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment

Excellent problem-solving skills and the ability to work independently as well as part of a team

Strong communication skills and the ability to explain complex technical concepts to non-technical stakeholders

Preferred

AWS Certified Machine Learning – Specialty

Experience with feature stores, model registries, and monitoring tools such as MLflow, Tecton, or Seldon

Familiarity with data engineering tools such as AWS EMR, Glue and Apache Spark

Knowledge of security best practices for machine learning systems

Experience with A/B testing and model performance monitoring

Company

CitiusTech

Glassdoor

3.5

Major provider of technology services and solutions to healthcare technology companies, providers, payers and life sciences organizations

Founded in 2005

Princeton, New Jersey, USA

5,001-10,000 employees

http://citiustech.com

H1B Sponsorship

CitiusTech 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)

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Trends of Total Sponsorships

2023 (359)

2022 (385)

2021 (437)

2020 (425)