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Job Details

MLOps Engineer - Remote [Urgent need]

  2026-04-24     Millenniumsoft     San Diego,CA  
Description:

Overview

Join to apply for the MLOps Engineer - Remote [Urgent need] role at MillenniumSoft Inc

Level of Experience: Senior Level

Employment Type: Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT)

Location: San Diego, CA

Duration: 10 Months

Total Hours per week: 40.00

1st Shift

Client: Medical Devices Company

Job Category: Technical/Engineering

Seniority level: Mid-Senior level

Employment type: Full-time (note: the original listing specifies Contract on W2; see details above)

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.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 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 Qualifications

  • 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.

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