Overview
On Site
Compensation information provided in the description
Full Time
Skills
Natural Language Processing
Scripting
Collaboration
Data Processing
Training
Machine Learning Operations (ML Ops)
Python
scikit-learn
TensorFlow
PyTorch
Amazon S3
Amazon EC2
JSON
Apache Parquet
RESTful
SQL
Relational Databases
Git
Docker
Continuous Integration
Continuous Delivery
Workflow
Machine Learning (ML)
Extract
Transform
Load
Amazon Web Services
Step-Functions
Java
Amazon SageMaker
Computer Science
TCM
DICE
Job Details
JOB TITLE: Machine Learning Engineer (NLP)
JOB LOCATION: St. Petersburgh, FL (Hybrid)
WAGE RANGE*: $100-110/hr.
JOB NUMBER: 36593999
JOB DESCRIPTION:
Duties
Required
Preferred
Education
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
Equal 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 including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include 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. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
#Dice
JOB LOCATION: St. Petersburgh, FL (Hybrid)
WAGE RANGE*: $100-110/hr.
JOB NUMBER: 36593999
JOB DESCRIPTION:
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.
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.
Equal 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 including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include 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. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
#Dice
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.