What are the responsibilities and job description for the Senior Machine Learning Engineer position at RK Management Consultants, Inc.?
Title: Sr Machine Learning Engineer
Location: Chicago, IL
Role Type: 9 Months Contract
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.
