AI Engineer

About the Role

Key Responsibilities

• Design and implement autonomous AI/ML programs that enhance marketing strategies and drive operational efficiency.
• Collaborate with cross-functional teams to translate business objectives into machine learning solutions.
• Develop and deploy models using techniques in supervised, unsupervised, and weakly supervised learning.
• Solve business problems by leveraging advanced artificial intelligence and machine learning approaches including design, mapping, and implementation of solutions.
• Provide guidance on data science and AI best practices.
• Engage with business partners to identify and scope out project needs.
• Communicate complex technical ideas clearly to stakeholders through presentations and technical documentation.
• Monitor and ensure data integrity through structured audits and reconciliation practices.
• Stay current with emerging AI technologies and propose relevant applications for business innovation.

Requirements

• Master's or PhD in Computer Science, Mathematics, Statistics, or a related quantitative field.
• 2+ years of hands-on experience building and deploying machine learning solutions.
• Ability to work cross-functionally to understand business goals and communicate solutions that meet the business objectives.
• Strong programming skills in object-oriented languages (e.g., Python, C++), with familiarity in machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Experience with cloud computing platforms (Google Cloud, Azure, and AWS) is a plus.
• Hands-on experience building ML solutions from existing libraries.
• Proven ability to collaborate across disciplines and explain technical concepts to non-technical audiences.
• Self-driven with a passion for learning and solving ambiguous problems.
• Travel may be required (team collaboration / conferences / vendor meetings).

Nice to Have

• Experience with cloud computing platforms such as Google Cloud, Azure, and AWS.

Qualifications

• Master's or PhD in Computer Science, Mathematics, Statistics, or a related field.
• 2+ years of experience in building and deploying machine learning solutions.

Benefits & Perks

• Full-time positions are eligible for paid time off, health, dental, vision, life and disability benefits.
• Part-time positions are eligible for dental, vision, life, and disability benefits.
• The pay range for this position is $102,900.00 - $135,000.00 per year with the opportunity for additional compensation pursuant to the company's bonus plan.
• Exact pay will be based on factors including relevant education, qualifications, certifications, experience, level, shift, geographic location, and organizational needs.
• For additional information concerning benefits, visit our Benefits and Career Development page: https://learn.bswift.com/ulta