Quicklizard, a leader in dynamic pricing solutions, is seeking a Senior AI Engineer to join our pioneering team. You'll strategically design, implement, and manage AI/ML cloud solutions that directly impact our client's revenue and optimize pricing for millions of products across hundreds of brands. This role offers the opportunity to make a real difference in a dynamic, technology-focused company.

Quicklizard is revolutionizing retail with our dynamic pricing B2B SaaS platform, leading the charge in automating and optimizing pricing strategies with AI-driven insights. Our comprehensive solution, embraced by retailers and brands across over 40 markets, delivers actionable pricing recommendations that drive business growth and profitability. Since 2018, we've been empowering a wide range of industries, including consumer electronics, beauty, and apparel, to seamlessly integrate pricing strategies across online and offline channels.

We're looking for ambitious individuals who are passionate about making a significant impact in the retail tech space. If you're motivated by innovation and eager to contribute to a pioneering company shaping the future of retail pricing, Quicklizard offers the perfect opportunity to challenge yourself and grow with us. Join us in our mission to transform pricing strategies into proactive, visionary actions that redefine retail success.

Your Role and Impact

As a senior member of our team, you will

• Design and develop end-to-end ML services and Generative AI solutions, including architecture, development, and the entire MLOps lifecycle.
• Architect scalable and reliable systems with observability, logging and tracing to enable quick detection, understanding and resolution of run-time issues
• Collaborate with diverse teams, both internal and external to the R&D group, to drive product innovation and client success.

What We’re Looking For

To excel in this role, candidates should possess the following qualifications and experiences:

• A Master’s or higher in Computer Science, Physics, Applied Mathematics or a related field, demonstrating a strong foundation in analytical thinking.
• 5+ years of applied experience in designing and implementing AI/ML systems, and a proven track record of using data to drive business results.
• Proficiency in Python, SQL, and large-scale data ecosystems (e.g., Hadoop, Spark).
• Experience with data engineering principles, including ETL pipelines, data quality control and data scalability.
• Experience with MLOps infrastructure: CI/CD, data & model versioning control, observability, and deployment.
• Strong working knowledge and expertise in machine learning, statistical modeling, and data mining.
• Excellent communication and problem-solving skills.

Nice-to-Haves

• Experience with AWS cloud platforms (Sagemaker, Athena, EMR), is a valued plus.
• Practical understanding of containerization with Docker and orchestration with Kubernetes.
• A solid grasp of economic principles, such as demand & supply dynamics, price elasticity, and optimization strategies.
• Hands-on familiarity with key Python packages (e.g., polars/pandas, statsmodels, scikit-learn, pytorch, xgboost, etc.).