Position Title: Machine Learning Engineer
Department: Data Engineering
Reports to: Manager of Data Engineering
Classification: Salary (Exempt)

SKILL/EXPERIENCE/PROFICIENCY REQUIREMENTS

• Technical Skills: Proficiency in Python or R, with experience in machine learning libraries (e.g., TensorFlow, PyTorch) and data manipulation, data visualization (Matplotlib or Seaborn) and Structured Query Language (SQL).
• Knowledge of Machine Learning Algorithms: Strong understanding of supervised, unsupervised, and reinforcement learning techniques.
• Soft Skills: Strong problem-solving abilities, effective communication skills, and a collaborative mindset. Eagerness to learn and stay current with new technologies and methods.

EDUCATIONAL REQUIREMENTS

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Relevant coursework or certifications in machine learning is a plus.

LIMITATIONS AND DISCLAIMER

The above job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position.

• Data Acquisition & Cleaning: Collect and preprocess large datasets, ensuring data quality and transforming raw data into usable formats for model training.
• Exploratory Data Analysis (EDA): Perform data analysis to uncover patterns, trends, and insights that inform model development.
• Feature Engineering: Identify and create relevant features from raw data to enhance model accuracy and performance.
• Model Building & Selection: Develop, select, and fine-tune machine learning models using the most appropriate algorithms for various business applications.
• Model Validation & Deployment: Validate models through rigorous testing, ensuring they meet performance standards, and deploy them into production environments.