Python Developer

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.