Senior AI Engineer
The Senior AI Engineer plays a vital role in translating business needs into actionable AI solutions, focusing on design, deployment, and robust machine learning applications within an e-commerce context.
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 / 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.
Other Details:
Team Structure: Collaborative with business and product teams.
Work Environment: Fast-paced operational environment.