Hybrid
Full Time
- Design, develop, and implement knowledge-based AI models and LLMs to solve complex business problems.
- Collaborate with cross-functional teams to identify opportunities for AI-driven solutions and develop custom use cases.
- Conduct research and stay updated on the latest advancements in AI, machine learning, and NLP technologies.
- Optimize and fine-tune AI models for performance, accuracy, and scalability.
- Develop and maintain documentation for AI models, algorithms, and processes.
- Ensure the ethical and responsible use of AI technologies in all implementations.
- Provide technical guidance and mentorship to junior AI engineers and data scientists.
- Work closely with stakeholders to understand business requirements and translate them into technical specifications.
- Evaluate and integrate third-party AI tools and platforms as needed.
- Monitor and analyze the performance of AI models, making necessary adjustments to improve outcomes.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience in developing and implementing knowledge-based AI models and LLMs.
- Strong programming skills in Python, TensorFlow, PyTorch, or similar AI frameworks.
- Experience with natural language processing (NLP) and understanding of language models.
- Familiarity with data management, data mining, and data visualization techniques.
- Excellent problem-solving skills and ability to work independently and collaboratively.
- Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.
- Experience in the paints industry or similar sectors is a plus.
AkzoNobel
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