About this opportunity
Beacon Hill lists this Machine Learning Engineer opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Job Description – Duties:
Collaborate with data scientists, software engineers, and DevOps teams to develop and deploy ML models
Build, test, and deploy ML Ops pipelines on AWS
Manage and monitor production ML systems to ensure optimal performance, reliability, and scalability
Design and implement automated workflows for data cleaning, feature engineering, model training, and model deployment
Develop and maintain documentation for ML Ops processes and procedures
Continuously improve ML Ops pipeline performance and efficiency
Troubleshoot and resolve issues related to ML model performance, data quality, and infrastructure
Requirements:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Minimum of 5-7 years of experience in ML Ops, DevOps, or related roles
Strong knowledge of AWS services and tools related to ML Ops, such as SageMaker, Step Functions, Lambda, and CloudFormation
Hands-on experience building and deploying ML models in production using AWS
Proficiency in Python and/or other programming languages commonly used in ML, such as R, Java, or Scala
Familiarity with containerization technologies such as Docker and Kubernetes
Excellent problem-solving skills and attention to detail
Ability to work independently as well as in a team environment
Strong communication skills and ability to explain technical concepts to non-technical stakeholders
Knowledge, Skills, Abilities and Behaviors:
Knowledge of machine learning concepts, algorithms, and frameworks.
Knowledge of software engineering principles and best practices, such as version control, continuous integration, and agile development methodologies.
Strong understanding of data analysis and data manipulation techniques.
Ability to design and implement scalable, secure, and fault-tolerant ML Ops pipelines on AWS.
Ability to analyze and interpret data to identify patterns, trends, and anomalies, using advanced data manipulation techniques.
Outstanding communication skills (verbal, written, visualization, and listening).
Self-starter who can work independently as well as in a team setting.
Hands-on technologist with the ability to help drive the strategy and mentor others.
Giving and receiving effective feedback across all interactions.
Interest in understanding customer perspectives to aid in the development of the right solution.
Interest in understanding business needs to aid in developing solutions that are right for the broader organization.
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.