Python Application Developer

We are seeking a Mid-Level Python Developer with experience in RStudio, and a focus on Artificial Intelligence (AI) and Machine Learning (ML) modeling to join our team. The ideal candidate will have a strong background in Python and RStudio, coupled with hands-on experience in developing AI and ML models. This role involves collaborating with cross-functional teams to design, develop, and implement advanced analytics solutions that drive business decisions and enhance operational efficiency. This position is hybrid (On-Site 2 days a week in Bethesda, MD).Key Responsibilities: AI/ML Development: Design, develop, and deploy machine learning models and algorithms using Python along with RStudio to solve complex business problems Data Analysis and Preprocessing: Perform data collection, cleaning, and preprocessing to ensure the quality and integrity of datasets used for AI/ML projects Model Training and Evaluation: Train, test, and validate machine learning models to ensure accuracy, robustness, and scalability. Use techniques such as cross-validation and hyperparameter tuning Integration: Integrate AI/ML models into existing systems and workflows, ensuring seamless operation and compatibility Collaboration: Work closely with data scientists, data engineers, and other stakeholders to understand business requirements and translate them into technical solutions Documentation: Maintain comprehensive documentation of code, models, processes, and experiments to ensure reproducibility and knowledge sharing Continuous Learning: Stay updated with the latest advancements in AI, ML, and related technologies. Experiment with new tools, frameworks, and methodologies to continuously improve skills and project outcomesQualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field 3-5 years of experience in Python programming using RStudio with a focus on AI and ML development Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch, scikit-learn) Experience with data manipulation and analysis using libraries such as pandas, NumPy, and dplyr Familiarity with AI/ML model deployment techniques and tools Knowledge of data visualization tools and libraries (e.g., ggplot2, Matplotlib, Seaborn) Ability to work independently and as part of a team in a fast-paced environmentPreferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services Understanding of big data technologies (e.g., Hadoop, Spark) Knowledge of version control systems (e.g., Git) and collaborative development platforms (e.g., GitHub, GitLab)