Machine Learning Engineer (NLP)

W2 project for Denver, CO and Tampa, FL candidates only!!!!

• Develop and maintain Python-based applications, APIs, and automation scripts.
• Collaborate with data scientists to deploy ML models into production systems.
• Support the development of data and model pipelines on AWS (S3, Lambda, SageMaker).
• Write clean, efficient, and testable code following best practices.
• Implement monitoring and logging to monitor system stability and performance.
• Optimize data processing workflows for ML training and inference.
• Contribute to CI/CD and MLOps development work.
• ML engineer to support the Data Scientists. Python is required
• AWS and Java are a big plus
• Some Azure, but mostly AWS
• Will write processes that interact with SageMaker
• Most of ML is custom projects. They want to use AWS SageMaker to prove out the project and then will be building a new application

Required Skills

• Strong Python programming skills.
• Understanding of machine learning concepts, preferably with experience using frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Familiarity with AWS services (e.g., S3, Lambda, EC2, or SageMaker).
• Solid understanding of APIs, data serialization formats (JSON, Parquet), and RESTful services.
• Experience with SQL and working with relational databases.
• Knowledge of Git, containerization (Docker), and CI/CD workflows.

Preferred Skills

• Experience operationalizing or supporting ML models in production.
• Exposure to data pipeline tools (AWS Glue, Airflow, Step Functions).
• Familiarity with Java.
• Experience with AWS SageMaker.

Education

Bachelor s degree in Computer Science, Engineering, or a related field, or equivalent experience.