MLOps Engineer

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:

• Were seeking an experienced MLOps Engineer to lead the operationalization of our Machine Learning workloads.
• As a key team member youll 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 costefficient 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:

• Bachelors or Masters 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 scikitlearn.
• Proficiency with CI/CD tools such as Github Actions.
• Handson experience with AWS.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Knowledge of infrastructureascode tools such as AWS CDK and Cloudformation.
• Strong understanding of machine learning lifecycle including data preprocessing model training evaluation and deployment.
• Excellent problemsolving 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 nontechnical 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.