Innovation Manager
2 weeks ago
We are seeking an experienced and innovative Senior AI Specialist to join our team at PERSOLKELLY SINGAPORE PTE. LTD. The ideal candidate will have a strong background in AI engineering and a strong understanding of machine learning concepts, including neural networks, optimization algorithms, and evaluation metrics. This role requires a blend of deep technical expertise, creativity, and strategic thinking to build scalable AI solutions and optimize advanced generative models.
About the Team
Our team works closely with data engineers to ensure the efficiency and accuracy of data pipelines and collaborates with product managers, data scientists, and engineers to understand requirements and deliver AI-driven solutions. As a key member of our team, you will play a critical role in driving innovation and delivering business value.
Key Responsibilities:
- Develop efficient, maintainable code while adhering to best practices in software engineering.
- Optimize and fine-tune AI models for improved performance, scalability, and accuracy.
- Explore various retrieval strategies, such as information retrieval, nearest-neighbor searches, or knowledge graph-based approaches, to enhance generative AI models.
- Continuously refine Retrieval Augmented Generation (RAG) methods, including embedding, chunking, and search algorithm optimization through experimentation and feedback.
- Partner with data engineers to ensure the efficiency and accuracy of data pipelines.
Requirements:
- 2+ years of experience in AI engineering.
- Proficiency in Python programming.
- Experience in building scalable AI solutions using modern technology stacks, including cloud services, data pipelines, databases, and necessary tooling.
- Familiarity with CI/CD processes and test-driven development.
- Experience in developing Restful APIs for AI models.
- Strong understanding of machine learning concepts, including neural networks, optimization algorithms, and evaluation metrics.
- Knowledge of Retrieval Augmented Generation (RAG) techniques.
- Familiarity with prompt engineering techniques such as instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies.
- Excellent communication and collaboration skills.
- Strong analytical and organizational skills, capable of managing multiple projects.
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