Data Scientist Machine Learning

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR projects. You will be responsible for the end-to-end development and deployment of machine learning models, collaborating closely with cross-functional teams to deliver impactful solutions.

Responsibilities

• Develop and train machine learning models for various applications
• Perform feature engineering to enhance model performance
• Select appropriate algorithms based on project requirements
• Tune and optimize model performance for deployment
• Clean and preprocess data to ensure model accuracy
• Design experiments to validate and improve model outcomes
• Collaborate within a small team to integrate machine learning solutions
• Manage end-to-end deployment of machine learning models

Preferred Qualifications

• Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Experience with SQL for data querying and manipulation
• Strong skills in statistical analysis and data visualization
• Critical thinking and effective communication abilities

Rule14 is an AI company and technology incubator focused on applying new approaches to uncover patterns and extract valuable intelligence within big data.

Whether helping businesses gain insight on customer loss prevention, designing targeted revenue enhancement campaigns, or uncovering fraud, waste and abuse within government programs, Rule14 empowers organizations assessing massive amounts of data for real-time decision-making.

Nventr.ai focuses on applying artificial intelligence to real-world operational environments where reliability, speed, and accuracy are critical. The company builds systems that integrate AI directly into day-to-day workflows, enabling better decision-making, automation, and coordination between software and physical operations.