Machine Learning Engineer

Softhq - Bentonville, AR

Full-time - Mid Level

Bentonville, AR

Professional, Scientific, and Technical Services

About the position

The Machine Learning Engineer at SoftHQ, Inc. is responsible for defining MLOps processes, automating model training pipelines, and collaborating closely with Data Scientists to refactor model training pipelines. This role requires a strong understanding of the retail domain and experience in retail data science projects, particularly in optimization and forecasting techniques. The engineer will also implement standard DevOps tools and ensure the platform's scalability, reliability, and performance while minimizing cloud spend in Azure.

Responsibilities

• Defines MLOps processes and assists in model deployments
• Works closely with Data Scientists in refactoring the model training pipelines
• Automate model training pipelines
• Employ AI/ML architectural knowledge as well as standard DevOps pipelines to achieve data science objectives
• Implement standard DevOps tools (e.g., Git, Jenkins, Docker, CI/CD pipelines)
• Recommend appropriate technologies/applications to enable strategic data management, model management, and risk considerations
• Ensure platform is scalable, reliable, and performant
• Assists in outlining new integration patterns with on demand solutions

Requirements

• Proficiency in Spark, Java/Scala, Hadoop, Kafka, Python
• Solid experience of SQL and NoSQL database technologies
• Experience in developing REST APIs, event & message driven applications using Kafka or other messaging queue
• Experience in building batch and streaming data pipelines
• Experience working in Agile/Scrum setup
• Experience working with Data Scientist in converting model to production code
• Experience with building model inference pipelines
• Hands on experience in defining CI/CD pipelines for enterprises e.g. Concord/Jenkins/etc.
• Experience deploying applications in Google Cloud Platform
• MS degree in Computer Science or related field