Python Developer with AI Automation

Russell Tobin

Tampa (FL)

Hybrid

USD 68,880 - 74,390

Full time

14 days+

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Job summary

A recruitment agency is seeking a Python Developer with expertise in AI Automation for a hybrid role based in Tampa, FL. The ideal candidate has a Bachelor's degree and experience in machine learning frameworks such as TensorFlow and PyTorch. Responsibilities include developing machine learning models and collaborating with cross-functional teams. Competitive hourly pay ranges from $50 to $54.

Qualifications

Bachelor's degree in a relevant field.
Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn.
Proven experience with Python programming.

Responsibilities

Design, develop, and implement machine learning models using Python.
Perform data preprocessing, cleaning, and feature engineering.
Train and evaluate machine learning models.

Skills

Python programming

Machine learning frameworks

Statistical principles

Data handling libraries

Problem-solving skills

Communication

Teamwork

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

TensorFlow

PyTorch

Scikit-Learn

Pandas

NumPy

Job description

Overview

Position: Python Developer with AI Automation

Location: Tampa, FL - hybrid onsite (LOCAL CANDIDATES ONLY!)

Base pay range

$50.00/hr - $54.00/hr

Responsibilities

Design, develop, and implement machine learning models using Python.
Perform data preprocessing, cleaning, and feature engineering.
Train and evaluate machine learning models.
Integrate models into production systems.
Collaborate with cross-functional teams to meet project goals.
Continuously improve model performance and scalability.
Document model development processes and findings.

Qualifications

Bachelors degree in Computer Science, Engineering, or a related field.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
Proven experience with Python programming language.
Strong understanding of statistical and mathematical principles.
Experience with data handling libraries such as Pandas and NumPy.
Excellent problem-solving skills.
Strong communication and teamwork abilities.

Employment type