Senior AI Engineer

The Senior AI Engineer translates business needs into actionable AI solutions, focusing on the design, deployment, and operation of robust machine learning applications in an e-commerce context.

Quick Facts

• Team Structure: Collaborative with business and product teams
• Work Environment: Fast-paced operational environment

Responsibilities

• Translate business needs into clear analytical and AI problem statements.
• Design, build, validate, deploy, and operate AI/ML solutions in production.
• Develop scalable data and AI pipelines to support customer analytics and reporting use cases.
• Industrialize analytical models, ensuring robustness, scalability, and cost efficiency.
• Collaborate with business stakeholders and product-oriented teams for adoption and value delivery.
• Apply AI engineering, MLOps, governance, security, and compliance standards.
• Contribute to reusable components, best practices, and continuous improvement of AI capabilities.

Must Haves

• Minimum 3 years of relevant experience in AI/ML engineering or data science.
• Proven experience in Data Science and Machine Learning.
• Strong experience designing and deploying production-grade AI/ML solutions end-to-end.
• Hands-on experience with Azure, Databricks, PySpark, and Python.

Nice to Haves

• Experience in e-commerce or omnichannel environments.
• Good understanding of MLOps, deployment, orchestration, monitoring, and operationalization of AI solutions.
• Experience in customer analytics, behavioral analysis, and segmentation.