urgent Requirement on ML OPS Engineer

Hi,
Hope you are doing great,
I have urgent Requirement on ML OPS Engineer 
ML OPS Engineer 
Location: Remote, United States
Visa : All ( Must be genuine and should have excellent comm skills )


Top Required Skillsets:

Experience in all aspects of the software development lifecycle: design, functional and technical requirements, coding, debugging, testing, release, and operational support.
Significant experience using and leading others in tools like: Terraform or CloudFormation and Amazon Web Services (Lambda, API Gateway, IAM, SageMaker, Bedrock, DynamoDB), MLflow, Docker, Serverless framework, GitHub, GitHub Actions, Terraform Cloud, bash, Linux, YAML, Python or Node.js.
Strong understanding of machine learning concepts and algorithms, the AWS cloud platforms, and knowledge of version control systems, CI/CD pipelines, and infrastructure-as-code practices.
POSITION SUMMARY:

A MLOps Engineer is responsible for bridging the gap between machine learning development and operations. They must have a strong understanding of machine learning concepts and algorithms, as well as proficiency in programming languages such as Python. Experience with the AWS cloud platforms along with knowledge of version control systems, CI/CD pipelines, and infrastructure-as-code practices. They need to be familiar with data processing and storage technologies, including both SQL and NoSQL databases. Understanding of monitoring and logging tools is crucial for maintaining and optimizing ML models in production. Additionally, MLOps engineers should have experience with model experimentation platforms, model deployment, scaling, and A/B testing. Strong problem-solving skills and the ability to collaborate effectively with data scientists, software engineers, and other stakeholders are vital for success in this role.

QUALIFICATIONS:

Experience in all aspects of the software development lifecycle: design, functional and technical requirements, coding, debugging, testing, release, and operational support.
Significant experience using and leading others in tools like: Terraform or CloudFormation and Amazon Web Services (Lambda, API Gateway, IAM, SageMaker, Bedrock, DynamoDB), MLflow, Docker, Serverless framework, GitHub, GitHub Actions, Terraform Cloud, bash, Linux, YAML, Python or Node.js.
Experience with agile scrum software development methodologies.

MINIMUM QUALIFICATIONS:

Bachelor's degree in IT or related field.
Minimum of 5 years of experience in a MLOps Engineer role and Amazon Web Services including previous experience in creating environments using infrastructure as code for mission critical applications.

Thanks & Regards 
Mahesh B 
Technical Recruiter 
Shift Code Analytics, Inc 
5118 Sylvester loop, Tampa, Florida 33610 
Direct: +1 813-547-8962
Email: mkumar@shiftcodeanalytics.com 
www.shiftcodeanalytics.com.

 

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