Machine Learning Engineer

Chicago

**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.