
Advanced AI Professional
6 days ago
About our AI Engineer Role
We're seeking a skilled AI professional with both depth and breadth in the field. They should have hands-on expertise in GenAI and strong judgment to choose the right approach for each problem.
This role involves building practical, scalable AI solutions that solve real business challenges. 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.
Key Responsibilities:
- Designing, building, and integrating AI models with a focus on scalability, efficiency, and adaptability.
- Supporting MLOps 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.
Requirements:
- Solid foundation in AI/ML, with hands-on experience developing, integrating, and evaluating GenAI models.
- Familiarity with multiple AI domains such as NLP, computer vision, recommendation systems, classical ML.
- Experience with one or more ML/DL frameworks: PyTorch, TensorFlow, or SciKit-learn.
- Exposure to agentic AI systems (frameworks like LangChain, LlamaIndex, CrewAI) and evaluation of GenAI 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:
- Experience applying AI to real-world projects (academic, internship, or professional).
- Curiosity and adaptability to explore new tools, frameworks, and problem domains.
A successful candidate will have 1-3 years of experience in the field.
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