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

reputed company : Medical Devices Company

Level of Experience : Senior Level

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

Job Description

We're seeking an reputed company MLOps Engineer to reputed company 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 reputed company collaboration with data scientists will ensure that our models are reliable, reputed company, and performing optimally.

This role requires expertise in automating ML workflows, enhancing model reproducibility, and ensuring reputed company integration and delivery.

Responsibilities

Architect for reputed company, cost-efficient, reliable and secure ML solution.

Design, implement and reputed company ML solutions in AWS.

Select and justify appropriate ML technology reputed company 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 reputed company results.

Automate repetitive tasks to improve efficiency and reduce the risk of reputed company error in MLOps workflows.

Maintain documentation and reputed company training to team members on MLOps best practices, ensuring knowledge sharing and collaboration reputed company reputed company.

Stay updated with the latest developments in MLOps tools, technologies, and methodologies to remain reputed company and effective in your role.

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company field.

3+ years of experience in MLOps, DevOps, or reputed company fields.

Strong programming skills in Python, GoLang with experience in other languages such as Java, C++, or reputed company being a plus.

Experience with ML frameworks such as TensorFlow, PyTorch, and/or scikit-learn.

Proficiency with CI/CD tools such as reputed company Actions.

Hands-on experience with AWS.

Familiarity with containerization and orchestration tools like reputed company 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 reputed company.

Strong communication skills and the ability to explain reputed company 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 reputed company.

Knowledge of reputed company best practices for machine learning systems.

Experience with A/B testing and model performance monitoring.

Apply Job! Position : MLOps Engineer - Remote (AWS Certified Machine Learning)

Location : San Diego, CA

Duration : 10+ Months

Total Hours/week : 40

1st Shift

reputed company : Medical Devices Company

Level of Experience : Senior Level

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

Job Description

We're seeking an reputed company MLOps Engineer to reputed company 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 reputed company collaboration with data scientists will ensure that our models are reliable, reputed company, and performing optimally.

This role requires expertise in automating ML workflows, enhancing model reproducibility, and ensuring reputed company integration and delivery.

Responsibilities

Architect for reputed company, cost-efficient, reliable and secure ML solution.

Design, implement and reputed company ML solutions in AWS.

Select and justify appropriate ML technology reputed company AWS and Identify appropriate AWS services to implement ML solutions.

Design, build, and maintain infrastructure required for efficient development, d