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A leading tech consultancy in Singapore is seeking an experienced AI Engineer to help design, build, and scale AI-powered solutions. The ideal candidate will have strong programming skills in Python, experience with machine learning frameworks, and an understanding of MLOps practices. This role involves collaborating in cross-functional teams and advocating for responsible AI. Join a passionate team committed to crafting intelligent systems that make a real impact.
Let’s talk AI, engineering craft, and curiosity first.
You’re passionate about building intelligent systems that actually make it into production — not just notebooks that never leave the lab. You enjoy working close to real business problems, designing pragmatic AI solutions, and continuously sharpening your skills in a fast-moving field.
You care about code quality, explainability, ethics, and impact, and you’re excited by the idea of sharing knowledge with others through communities, talks, or mentoring.
If that sounds like you, keep reading.
As an AI Engineer at Zenika, you’ll work as a consultant embedded in client teams, helping design, build, and scale AI-powered solutions. You’ll bridge the gap between data science and software engineering, ensuring models are reliable, maintainable, and production-ready.
You’ll collaborate closely with product managers, data scientists, platform engineers, and developers — and you’ll play an active role in shaping AI practices both for our clients and within Zenika.
Design, build, and deploy AI/ML solutions into real production environments
Develop and maintain model pipelines (training, evaluation, deployment, monitoring)
Work with LLMs and GenAI use cases (e.g. RAG, prompt engineering, fine-tuning, agents)
Translate business problems into pragmatic AI architectures
Ensure models are scalable, observable, secure, and maintainable
Collaborate in cross-functional teams using agile and modern engineering practices
Advocate for responsible AI (ethics, bias, explainability, governance)
Share knowledge through internal talks, blogs, meetups, or client workshops
We’re more interested in how you think than ticking every box — but here’s what typically helps:
Strong programming skills in Python (and/or Java, Scala, Go)
Hands‑on experience with machine learning or deep learning frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
Experience taking models from experimentation to production
Familiarity with LLMs / GenAI ecosystems (OpenAI, Hugging Face, LangChain, etc.)
Understanding of MLOps practices (CI/CD, model versioning, monitoring)
Experience with cloud platforms (AWS, GCP, Azure) and containerisation
Solid software engineering fundamentals (testing, clean code, APIs)
Comfortable explaining complex ideas to both technical and non-technical audiences
Founded by developer Carl Azoury, Zenika is a consultancy built around community, transparency, and craftsmanship. Our passionate team advises clients with expertise in open‑source technologies and modern solutions.
Work with a global client base across 11 locations, accessing 28,000+ Zenika‑led training sessions worldwide
Partner with industry leaders like Google Cloud and Scrum.org, and engage in research, open‑source work, and conferences outside client projects
Connect and grow with fellow experts through our annual Techno Zaures, sharing skills and knowledge
Ready to code your story with us? Apply NOW!