Python Developer

Job Description About Brite Brite Systems is an Information Technology company specializing in consulting and software development. We have successfully implemented solutions for the public and private sectors since 2006. We focus on providing our clients with simplified, innovative technology solutions to improve and streamline the user experience. Brite Systems confidently bring the right people, customized approach, and successful track records to each opportunity. If you are looking to be part of a strong, collaborative culture, Brite Systems is the place for you to grow your career. About the Role We are seeking an experienced Python AI Model Developer to join our team and drive the development of cutting-edge artificial intelligence solutions. You will be responsible for designing, implementing, and deploying machine learning models that solve complex business problems and deliver measurable value to our clients. Key Responsibilities - Design and develop machine learning models using Python and relevant AI/ML frameworks - Implement end-to-end ML pipelines from data preprocessing to model deployment - Optimize model performance through feature engineering, hyperparameter tuning, and algorithm selection - Collaborate with data scientists, software engineers, and product teams to translate business requirements into technical solutions - Deploy models to production environments and monitor their performance in real-world scenarios - Conduct model validation, A/B testing, and performance analysis - Stay current with latest AI/ML research and integrate innovative techniques into existing workflows - Document model architecture, methodologies, and results for stakeholder communication - Troubleshoot and debug model issues in development and production environments Required Qualifications - Bachelor's degree in computer science, Data Science, Mathematics, or related technical field - 3-5 years of hands-on experience developing AI/ML models in Python - Strong proficiency in Python and ML libraries (scikit-learn, pandas, NumPy, matplotlib/seaborn) - Experience with deep learning frameworks (TensorFlow, PyTorch, or Keras) - Solid understanding of machine learning algorithms, statistics, and model evaluation techniques - Experience with data preprocessing, feature engineering, and data visualization - Knowledge of SQL and working with databases - Familiarity with version control systems (Git) and collaborative development workflows - Experience deploying models to production using cloud platforms (AWS, Azure) - Strong problem-solving skills Preferred Qualifications - Experience with MLOps tools and practices (MLflow, Kubeflow, Docker, Kubernetes) - Knowledge of big data technologies (Spark, Hadoop) - Experience with natural language processing (NLP) or computer vision projects - Familiarity with model optimization techniques and edge deployment - Experience with API development (FastAPI, Flask) Technical Skills - Programming: Python (advanced), SQL, basic knowledge of R or Scala - ML/AI Frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost, LightGBM - Data Tools: pandas, NumPy, Jupyter, Apache Spark - Cloud Platforms: AWS (SageMaker, EC2, S3) or equivalent Azure services - Development Tools: Git, Docker, Linux/Unix command line - Databases: PostgreSQL, MongoDB, or similar Brite Systems is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.