Entry level machine learning engineer Jobs in Louisville, KY

Key Responsibilities : Model Development & Deployment : Design, develop, and deploy machine learning models to solve business problems.Data Preprocessing : Gather, clean, and preprocess data for model training and evaluation.Algorithm Selection : Choose and implement appropriate machine learning algorithms (supervised, unsupervised, deep learning, reinforcement learning, etc based on the problem and dataset.Performance Evaluation : Evaluate and optimize the performance of machine learning models using appropriate metrics (accuracy, precision, recall, F1 score, etc.Collaboration : Work closely with data engineers, software developers, and business stakeholders to understand requirements and deliver scalable solutions. Skills & Qualifications : Experience : At least 2-3 years of experience in machine learning and data science roles.Programming Languages : Proficiency in Python, R, or other programming languages commonly used in machine learning. Experience with libraries such as TensorFlow, PyTorch, scikit-learn, etc.Tools : Experience with data processing and manipulation tools (SQL, Pandas, Numpy), cloud platforms (AWS, Azure, GCP), and version control systems (GitDesirable Skills : Knowledge of deep learning, NLP, computer vision, or reinforcement learning.Experience in deploying machine learning models in production environments.Familiarity with data visualization tools (Matplotlib, Seaborn, Tableau Equal Opportunity Employer We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship / immigration status, veteran status, or any other status protected under federal, state, or local law.