AI Solutions Engineer

Overview

AI Solutions Engineer specializing in developing and deploying machine learning models for business and research value.

What you'll do

• Develop and program integrated software solutions for the development and deployment lifecycle of ML models.
• Train and validate models using appropriate evaluation metrics and techniques.
• Optimize and tune hyperparameters to improve performance and generalization.
• Deploy ML models to production environments with scalability, reliability, and efficiency.
• Monitor and maintain deployed models and update them for changing data or requirements.
• Design ML systems and experiments, and regularly train systems for efficiency.
• Design, develop, test, and maintain ML pipelines to produce scalable models.

What you'll need

• Four-year or graduate degree in computer science, statistics, mathematics, data science, or a related discipline, or commensurate work experience.
• Typically 4–7 years of work experience in computer programming, machine learning, algorithms, statistical methods, or related fields.
• Prefer 3–5 years of experience if you have an advanced degree.
• Knowledge of ML algorithms and tools for researching and implementing ML approaches.
• Ability to apply machine learning and statistical modeling techniques to business or research problems.
• Experience working with CI/CD teams to deploy models to production.

Details

• Job schedule: Full time.
• Shift: No shift premium (India).