Qualifications

• Bachelor's degree in computer science, software engineering, data science, engineering, information systems or a related field.
• Minimum of 2 years experience in software engineering, data science or similar IT field.
• Proficient in programming languages such as Python, Java or C++.
• Knowledge of data science libraries like Pandas, NumPy and Scikit-learn.
• Understanding of machine learning algorithms, metrics and feature engineering techniques.
• Experience with SQL and database management in a Linux environment.
• Familiarity with version control systems like Git.

Responsibilities

• Deploy and monitor machine learning models in production environments.
• Develop and optimize data processing and feature engineering pipelines.
• Build APIs and microservices to support machine learning models.
• Implement model performance monitoring and drift detection.
• Write efficient, well-documented code.
• Conduct code reviews and mentor junior engineers on software best practices.
• Perform data analysis and generate reports for business support.

Benefits

• Medical, dental and vision insurance.
• Company paid life insurance.
• 401(k) savings plan with company match.
• Paid time off and paid holidays.
• Results-based incentive pay program.
• Tuition reimbursement.
• Comprehensive information technology benefits.