Machine Learning Engineer

NextPathAI is hiring a Machine Learning Engineer for a 3-month contract based in Tampa, FL (onsite). This is a focused opportunity to take machine learning solutions from research through production, working alongside data scientists, software engineers, and domain experts to deliver actionable predictions, insights, and recommendations.

The role is hourly, with a compensation range of $55–$65 per hour. If you enjoy building end-to-end ML workflows and communicating results to diverse audiences, this contract can be a strong fit.

What you’ll do

• Research, develop, and optimize machine learning algorithms and models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Build end-to-end machine learning pipelines, covering data collection, preprocessing, model training, and evaluation.
• Deploy and monitor machine learning models in production environments, focusing on scalability, reliability, and performance.
• Partner with stakeholders to understand business objectives and translate them into machine learning solutions.
• Communicate and present results, including implications of model outputs, to both technical and non-technical audiences.

What you bring

• 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.
• Strong Python skills and familiarity with machine learning libraries including NumPy, Pandas, and Matplotlib.
• Working knowledge of TensorFlow, PyTorch, or Scikit-learn, plus 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 in a team setting.
• Excellent communication and presentation skills, including the ability to explain complex concepts clearly.

Technologies you’ll work with

TensorFlow, PyTorch, Scikit-learn, Python, NumPy, Pandas, Matplotlib, AWS, Azure, GCP