MLOps Engineer - Remote (AWS Certified Machine Learning)

Position : MLOps Engineer - Remote (AWS Certified Machine Learning) Location : San Diego, CA Duration : 10+ Months Total Hours/week : 40 1st Shift Client : Medical Devices Company 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) Job Description • We're seeking an experienced MLOps Engineer to lead the operationalization of our Machine Learning workloads. • As a key team member, you'll be responsible for designing, building, and maintaining infrastructure required for efficient development, deployment, and monitoring of machine learning workloads. • Your close collaboration with data scientists will ensure that our models are reliable, scalable, and performing optimally. • This role requires expertise in automating ML workflows, enhancing model reproducibility, and ensuring continuous integration and delivery. 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. Apply tot his job Apply tot his job

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