Sr. Machine Learning Engineer (NLP) at Denver, CO / St. Pete, FL

looking for a Sr. Machine Learning Engineer (NLP) to work on a 12+ Months, Contract (potential Extension or may Convert to Full-time) = Hybrid at Any One Location (St. Petersburg, FL 33716 / Denver, CO 80246) with a Direct Financial Client = only on W2 for US Citizen or Green Card Holders.

Notes from Hiring Manager

• This role will support the Data Science team.
• Responsible for maintaining AWS SageMaker environments and writing related processes.
• Strong skills in ML and Python are required.
• Java experience is a nice-to-have.
• AWS expertise is a significant plus.
• Contract-to-hire position.
• Location preference: St. Pete or Denver.

Duties

• 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.

Skills

Required

• 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

• 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.