Overview
Skills
Job Details
Locals to TX and W2 Only.
Design and develop machine learning models and algorithms to address business challenges.
Collaborate with data scientists and product managers to define ML goals and project requirements.
Perform data preprocessing, feature engineering, and exploratory data analysis to prepare datasets for training.
Train, evaluate, and optimize models for accuracy, efficiency, and scalability.
Keep up with the latest research, trends, and tools in the AI/ML space and share insights with the team.
Participate in code reviews, contribute to development best practices, and write clean, maintainable code.
Document your work from methodology to results to support reproducibility and future development.
Work in a cross-functional team, contributing ideas and feedback to continuously improve processes and outcomes.
Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.
Experience building, training, and iterating on ML models in a production or research setting.
Solid Python programming skills and familiarity with data science tools.
Strong collaboration and communication skills able to work closely with both technical and non-technical teams.
Exposure to cloud platforms like AWS, Azure, or Google Cloud is a plus (but not required).