Lead AI Engineer @ E.L.F. BEAUTY
placeAhmedabad, Gujarat, India
attach_money $200,000
businessOn Site
scheduleFull Time
Posted 20 hours ago
Your Application Journey
Interview
Email Hiring Manager
****** @elfbeauty.com
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Job Details
About e.l.f. Beauty
e.l.f. Beauty, Inc. champions clean, cruelty free beauty with exceptional value since 2004. With a multi-brand portfolio that includes e.l.f. Cosmetics, e.l.f. SKIN, Well People, Keys Soulcare, and Naturium, we have paved our way to becoming the #2 mass cosmetics brand in the US and the fastest growing among the top 5.
Job Summary
As the Lead AI Engineer at e.l.f. Beauty, you will design, develop, and deploy advanced AI solutions across our enterprise. You will lead the development of production-grade AI and machine learning models, manage the entire model lifecycle, collaborate with cross-functional teams, and mentor junior engineers.
Responsibilities
- Design and develop robust AI/ML models (recommendation engines, NLP, computer vision, forecasting).
- Manage model lifecycle from prototyping to deployment and monitoring.
- Collaborate with product, data engineering, MLOps and business teams.
- Perform feature engineering, data wrangling, and exploratory analysis.
- Build and maintain scalable AI infrastructure using cloud services and MLOps best practices.
- Mentor junior AI/ML engineers.
- Continuously improve models with new research and retraining techniques.
Requirements
- Bachelor’s or Master’s in Computer Science, Data Science, ML or related field.
- 14+ years of IT experience; minimum of 6+ years in AI/ML engineering.
- Experience with LLM-based applications and prompt-driven architectures.
- Solid understanding of RAG patterns, vector databases, and containerized services in AWS ECS.
- Familiarity with AWS Bedrock, AWS RDS, and CI/CD pipelines using Terraform or AWS CDK.
- Proficiency in Python and experience with React front-end environments.
Key Skills/Competency
- AI Engineering
- Machine Learning
- Production Models
- Cloud Infrastructure
- MLOps
- LLM Applications
- Python
- Data Engineering
- Containerization
- CI/CD
How to Get Hired at E.L.F. BEAUTY
🎯 Tips for Getting Hired
- Research e.l.f. Beauty's culture: Study the company values and recent achievements.
- Customize your resume: Highlight extensive AI/ML experience and projects.
- Emphasize cloud skills: Showcase AWS, Azure, or GCP expertise.
- Prepare technical answers: Review LLM fine-tuning and containerization topics.
📝 Interview Preparation Advice
Technical Preparation
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Practice deploying containerized apps on AWS ECS.
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Revise LLM fine-tuning and parameter-efficient methods.
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Refresh cloud infrastructure and MLOps tools.
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Simulate production AI model lifecycle exercises.
Behavioral Questions
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Describe a time managing cross-functional projects.
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Explain mentoring junior team members effectively.
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Share experiences overcoming deployment obstacles.
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Discuss decision-making during high-pressure releases.
Frequently Asked Questions
What technical skills does e.l.f. Beauty look for in a Lead AI Engineer?
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How does e.l.f. Beauty approach AI model lifecycle management?
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