Role Description
We are partnering with one of the leaders in the logistics domain to find a passionate and skilled AI Engineer to drive the next generation of technological advancements in the logistics sector
As an AI Engineer, you'll be at the epicenter of efforts to revolutionize logistics operations. Working closely with a team of dedicated professionals, you'll design, implement, and optimize AI-driven solutions that streamline our processes, enhance efficiency, and provide unrivalled service to customers.
Key Responsibilities:
- Design and Development: Architect, develop, and deploy scalable machine learning models tailored for logistics challenges.
- Collaboration: Partner with data scientists, software engineers, and domain experts to translate business requirements into AI solutions.
- Optimization: Continuously monitor, validate, and improve existing models to ensure accuracy and relevance.
- Research: Stay updated with the latest advancements in AI and ML. Prototype and test new techniques that can offer improvements.
- Documentation: Create detailed documentation for algorithms, models, and tools for internal references and scaling.
- Deployment: Collaborate with the engineering team to integrate AI capabilities into production systems.
Who we are looking for
- A Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s or Ph.D. in AI, ML, or related fields is a plus.
- Minimum of 3 years of experience in designing and implementing machine learning algorithms and models.
- Proficiency in Python, TensorFlow, PyTorch, or similar AI/ML frameworks.
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying models at scale.
- Strong understanding of data structures, algorithms, and software design.
- Familiarity with logistics or supply chain management is a bonus.
What's the offer
- Competitive salary and benefits package.
- Opportunity to work with a forward-thinking team in one of the fastest-growing industries.
- Continuous learning and development opportunities.
- Collaborative and inclusive work environment.
- Flexibility in work arrangements.
