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.

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