MillenniumSoft Inc ยท 4 months ago
MLOps Engineer - Remote (AWS Certified Machine Learning)
United States
Full-time
Remote
Mid, Senior Level
3+ years expMillenniumSoft Inc is seeking an experienced MLOps Engineer to lead the operationalization of Machine Learning workloads for a Medical Devices Company. The role involves designing, building, and maintaining the infrastructure necessary for efficient development, deployment, and monitoring of machine learning models, while collaborating closely with data scientists to ensure optimal model performance.
Staffing & Recruiting
No H1B
U.S. Citizen Only
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
Qualification
Required
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
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
Company
MillenniumSoft Inc
Hire us to hire for you Staffing is not a straightforward activity.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Sailaja Mashetty
Partner - Customer Sucess
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