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 outcomes.

Qualifications:

· 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 environment.

Preferred 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).