
AI Expert
11 hours ago
About the Role
We're seeking an expert in AI who has depth and breadth in the field. While hands-on expertise in Generalised Artificial Intelligence is expected, we believe every problem needs a tailored approach. You should have the judgment to choose the right method, whether it's Natural Language Processing, computer vision, classical Machine Learning, or data pipelines, and the curiosity to keep learning as new technologies emerge.
This role involves building practical, scalable AI solutions that solve real business problems. You'll work across the entire lifecycle, from data preparation to deployment, while staying close to the business context and ensuring the solutions we build are impactful, not just experimental. We value people who are proactive, willing to take ownership, and ready to drive initiatives that go beyond day-to-day coding.
What You'll Work On
- Designing, building, and integrating AI models with a focus on scalability, efficiency, and adaptability.
- Supporting Model Operations practices to help models move from research to reliable production systems.
- Handling key parts of data preparation: cleaning, preprocessing, transformation, and validation.
- Writing maintainable, high-quality code with reusability in mind.
- Building APIs, pipelines, and prototypes that make AI solutions tangible and useful.
- Collaborating with AI engineers, developers, and product owners to turn ideas into working systems.
- Taking initiative in projects, contributing ideas, driving small experiments, and helping shape how we build solutions.
- Staying current with the fast-moving AI ecosystem, and applying approaches that fit the problem.
Required Skills and Qualifications
- Solid foundation in AI/Machine Learning, with hands-on exposure to developing, integrating, and evaluating Generalised Artificial Intelligence models.
- Familiarity with multiple AI domains such as Natural Language Processing, computer vision, recommendation systems, classical Machine Learning.
- Experience with one or more Machine Learning/Deep Learning frameworks: PyTorch, TensorFlow, or SciKit-learn.
- Exposure to agentic AI systems (frameworks like LangChain, LlamaIndex, CrewAI, Agno) and evaluation of Generalised Artificial Intelligence systems.
- Strong data handling skills (exploration, cleaning, preprocessing).
- Ability to prototype quickly and build simple APIs to demonstrate solutions.
- Problem-solving mindset and communication skills, you should be able to explain not just how something works but also why it matters.
Preferred Qualifications
- Experience applying AI to real-world projects (academic, internship, or professional).
- Curiosity and adaptability to explore new tools, frameworks, and problem domains.
Requirements
- 1-3 years experience.
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