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Machine Learning Engineer

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: NextPathAI
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 55 - 65 USD Hourly USD 55.00 65.00 HOUR
Job Description & How to Apply Below

NextPathAI is hiring a Machine Learning Engineer for a 3-month contract in Tampa, FL (onsite). In this role, you will research, build, deploy, and monitor machine learning solutions while partnering with data scientists, software engineers, and domain experts to deliver actionable insights, predictions, and recommendations. This contract opportunity is designed for engineers who want hands‑on ownership across the machine learning lifecycle, from pipeline development to production performance.

Compensation: USD 55–65 per hour
.

Responsibilities
  • Research, develop, and optimize machine learning algorithms and models using frameworks such as Tensor Flow
    , Py Torch , or Scikit-learn
    .
  • Build end‑to‑end machine learning pipelines, including data collection
    , preprocessing
    , model training
    , and evaluation
    .
  • Deploy and monitor machine learning models in production environments, focusing on scalability
    , reliability
    , and performance
    .
  • Collaborate with stakeholders to understand business goals and translate them into machine learning solutions.
  • Communicate and present project results and implications to both technical and non‑technical audiences.
Requirements
  • Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Experience applying machine learning to real‑world use cases such as natural language processing
    , computer vision
    , recommender systems
    , or anomaly detection
    .
  • Proficiency in Python and key libraries including Num Py
    , Pandas
    , and Matplotlib
    .
  • Familiarity with machine learning frameworks including Tensor Flow
    , Py Torch , or Scikit‑learn
    , and cloud platforms such as AWS
    , Azure
    , or GCP
    .
  • Knowledge of machine learning best practices, including data quality
    , feature engineering
    , model validation
    , and hyperparameter tuning
    .
  • Strong problem‑solving and analytical skills, with the ability to work independently or as part of a team.
  • Excellent communication and presentation skills, including the ability to explain complex concepts in clear terms.
Technologies

Tensor Flow
, Py Torch ,
Scikit‑learn
, Python
, Num Py
, Pandas
, Matplotlib
, AWS
, Azure
, GCP

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