Emonics LLC

Compensation

Full Description

Position Overview Emonics LLC is seeking a curious and motivated Machine Learning Intern to join our AI/ML team in Dallas. This internship provides hands-on exposure to real-world projects involving data analysis, model building, and algorithm optimization. It’s an ideal opportunity for students or recent graduates who want to apply their academic knowledge in a professional setting and gain practical experience in machine learning and data science. Key Responsibilities Assist in developing, training, and evaluating machine learning models. Preprocess, clean, and analyze datasets to extract valuable insights. Support data scientists and engineers in implementing ML workflows and pipelines. Research new algorithms and frameworks to improve model performance. Visualize results and present findings to the project team. Document methodologies, experiments, and outcomes for internal use. Required Qualifications Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field. Fundamental understanding of machine learning algorithms (supervised and unsupervised). Proficiency in Python and experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with data analysis tools like Pandas, NumPy, or Jupyter Notebooks. Strong problem-solving, analytical, and communication skills. Preferred Qualifications Exposure to cloud platforms (AWS, Azure, or GCP) for model deployment. Experience with data visualization tools (Matplotlib, Seaborn, Power BI). Previous internship, coursework, or personal projects in AI or ML. What You’ll Gain Hands-on experience with real-world datasets and ML development cycles. Mentorship from experienced data scientists and engineers. Opportunities to contribute to impactful AI solutions. A potential path toward a full-time position at Emonics LLC. How to Apply Submit your resume and a brief cover letter highlighting your academic background and interest in machine learning to: