Machine Learning Engineer; NLP
Listed on 2025-12-31
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IT/Tech
Machine Learning/ ML Engineer, Data Engineer
Machine Learning Engineer (NLP)
St. Petersburg, FL (Hybrid) | Hourly rate: $100‑110/hr.
Job DescriptionDevelop 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, Sage Maker). 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.
- 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, Sage Maker).
- 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.
- Strong Python programming skills.
- Understanding of machine learning concepts, preferably with experience using frameworks such as scikit‑learn, Tensor Flow, or PyTorch.
- Familiarity with AWS services (e.g., S3, Lambda, EC2, Sage Maker).
- 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.
- Experience operationalizing or supporting ML models in production.
- Exposure to data pipeline tools (AWS Glue, Airflow, Step Functions).
- Familiarity with Java.
- Experience with AWS Sage Maker.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
Equal Opportunity EmployerEqual opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors… Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM’s discretion.
Benefits- Medical, dental and vision benefits
- Dependent care flexible spending account
- 401(k) plan
- Voluntary life/short term disability/whole life/term life/accident and critical illness coverage
- Employee assistance program
- Sick leave in accordance with regulation
- AWS Lambda
- Amazon EC2
- Amazon S3
- Application Programming Interface (API)
- Best Practices
- Computer Programming
- Computer Science
- Continuous Deployment/Delivery
- Continuous Integration
- Data Formats
- Data Management
- Data Modeling
- Data Processing
- Data Science
- Docker
- Git
- JSON
- Java
- Machine Learning
- Natural Language Processing (NLP)
- Production Systems
- Python Programming/Scripting Language
- REST (Representational State Transfer)
- SQL (Structured Query Language)
- Scripting (Scripting Languages)
The Computer Merchant, LTD (TCM) has provided Information Technology Solutions and enterprise staffing services to Fortune 1000, mid to small sized corporations, as well as Federal, state, and local governments for over 30 years.
Our commitment to your professional and financial success: evaluate your background, experience and qualifications, and then recommend contract jobs that are the best match for your goals.
Fast Facts & Recognition: 41 year track record, 63,000 consultants, access to 11 million consultants, centralized client delivery, Supplier Diversity Certification as a Veteran Business Enterprise.
Company Size: 1,500 to 1,999 employees
Industry: Staffing/Employment Agencies
Founded: 1980
Website:
Career Growth Opportunities- Develop your skills
- Improve your earnings potential
- Gain greater control over your career
Senior (5+ years of experience)
Tagged as:
Industry, Machine Learning, Natural Language Processing, NLP, United States
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