Universal, a global leaf tobacco supplier, is looking to solve complex business challenges through the development of advanced AI models and systems.
Requirements
- Proficiency in programming languages such as .net, Python, or R.
- Experience with cloud platforms and big data tools.
- Strong understanding of model lifecycle, MLOps, and performance optimization.
- Experience with SQL or NoSQL databases
- Strong understanding of data governance, privacy, and ethical AI
- Ability to write clean, maintainable code and follow coding standards
- Experience with edge AI or deploying models to production environments
Responsibilities
- Architect and implement scalable AI systems using advanced machine learning techniques.
- Lead model development, training, evaluation, and deployment for production environments.
- Optimize system performance through rigorous testing, tuning, and monitoring.
- Collaborate with stakeholders to align AI solutions with business goals and technical requirements.
- Guide junior engineers through code reviews, technical mentorship, and best practices.
- Develop reusable components and contribute to internal AI frameworks and libraries.
- Stay current with AI research and emerging technologies to inform solution design.
Other
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
- 3–5 years of experience in AI/ML engineering, with proven success in deploying scalable solutions.
- Excellent communication and leadership skills.
- Ability to work in the United States.
- All applicants must be authorized to work in the United States.
