MLOps Engineer - Remote [Urgent need]

OverviewJoin to apply for the MLOps Engineer - Remote [Urgent need] role at MillenniumSoft IncLevel of Experience: Senior LevelEmployment Type: Contract on W2 (Need US Citizens or GC Holders or GC EAD or OPT or EAD or CPT)Location: San Diego, CADuration: 10 MonthsTotal Hours per week: 40.001st ShiftClient: Medical Devices CompanyJob Category: Technical/EngineeringSeniority level: Mid-Senior levelEmployment type: Full-time (note: the original listing specifies Contract on W2; see details above)ResponsibilitiesArchitect 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.QualificationsBachelor'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 QualificationsAWS Certified Machine Learning - SpecialtyExperience 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.Referrals increase your chances of interviewing at MillenniumSoft Inc by 2xGet notified about new Mechanical Engineer jobs in San Diego, CA. #J-18808-Ljbffr

Created: 2026-04-20