The posting
Senior AI Engineer
About the Role
We are seeking a Senior AI Engineer with strong experience in AI/ML engineering, production software development and deployment, ideally within supply chain or retail environments.
In this role, you will build scalable, modular and production-ready AI solutions to address complex supply chain challenges. You will also contribute to system architecture, engineering best practices and technical mentorship within a high-impact engineering team.
Key Responsibilities
- Design and develop modular, portable and production-ready software deployable across major cloud platforms (AWS, GCP, Azure) and on-premise environments.
- Re-architect existing systems to translate complex business and retail requirements into scalable, reusable software components.
- Build AI-driven systems that integrate machine learning models into reliable, scalable business applications.
- Design and implement software architecture, microservices and APIs to support system scalability and maintainability.
- Establish and improve engineering practices, including coding standards, CI/CD, DevOps and MLOps workflows.
- Conduct code reviews, provide technical guidance to team members and promote engineering excellence.
- Ensure software meets security, performance, reliability and maintainability standards.
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Operations Research or a related field.
- At least 4 years of experience in AI/ML engineering or software engineering, with a focus on building and deploying production systems.
- Proficiency in Python and experience with SQL databases (MySQL, PostgreSQL) and NoSQL databases (e.g. MongoDB).
- Hands-on experience deploying infrastructure as code on at least one major cloud platform.
- Experience deploying applications in cloud and on-premise environments using Docker, Kubernetes and CI/CD pipelines.
- Strong understanding of microservices architecture, API development and system design.
- Familiarity with automated testing frameworks such as PyTest and tools for unit and integration testing.
Preferred Qualifications
- Experience deploying AI/ML models into production environments.
- Familiarity with workflow orchestration tools such as Airflow, Prefect or Ray.
- Experience with reporting and analytics tools such as Tableau or Holistics.
- Experience in supply chain AI applications, including inventory optimisation, demand forecasting or retail analytics.
Regret to inform that only shortlisted candidates will be notified.
www.dadaconsultants.com
EA Registration Number: R1878287
Business Registration Number: 201735941W.



