ML/AI Engineer III - Model Lifecycle & Impact

Sprouts Farmers Market, Inc.

Phoenix (AZ)

Hybrid

USD 130,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Competitive pay
Sick time plan
Vacation accrual plan
Opportunities for career growth
15% discount for you and one other in‑
15% discount for you and one other in‑
Flexible schedules
Employee Assistance Program (EAP)
401(K) Retirement savings plan with a
401(K) Retirement savings plan with a

Job summary

Sprouts Farmers Market, Inc. in Phoenix, AZ, seeks a seasoned Data Scientist/ML Engineer to own design, delivery and operation of ML models and AI-enabled features. You will translate complex business questions into data-driven solutions, run experiments, monitor models, and share findings with engineering and business partners.

This role requires 5+ years of experience and strong Python/SQL skills. The position offers a hybrid work arrangement with in-office presence Tuesday through Thursday

Qualifications

  • 5+ years of data science, machine learning, or AI engineering experience.
  • Strong proficiency in Python and SQL with production experience in ML frameworks, experimentation, feature engineering, model registries, and model monitoring.

Responsibilities

  • Own the design, delivery, operation, and continuous improvement of ML models and AI-enabled features.
  • Conduct detailed analysis to translate business questions into data-driven solutions.
  • Design experiments and implement model lifecycle, monitoring, and explainability practices.
  • Explain findings to engineering and business partners and ensure shared understanding.
  • Provide technical guidance and training to associate and intermediate engineers; delegate work as needed.
  • Operate models independently and contribute to AI strategy and governance.

Skills

Python
SQL
ML frameworks
Experimentation
Feature engineering
Model monitoring

Job description

Sprouts Farmers Market, Inc. in Phoenix, AZ, seeks a seasoned Data Scientist/ML Engineer to own design, delivery and operation of ML models and AI-enabled features. You will translate complex business questions into data-driven solutions, run experiments, monitor models, and share findings with engineering and business partners.

This role requires 5+ years of experience and strong Python/SQL skills. The position offers a hybrid work arrangement with in-office presence Tuesday through Thursday

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