Machine Learning Engineer

What You’ll Do

• Design, build, and deploy ML pipelines and LLM-powered applications from scratch.
• Fine-tune, prompt, and integrate state-of-the-art LLMs (e.g., OpenAI, LLaMA, Mistral).
• Apply advanced techniques like retrieval-augmented generation (RAG), tool use, and embedding search.
• Collaborate with product and engineering to build AI-driven features for real-world call centre use cases (e.g., agent coaching, auto summarization, sentiment analysis).
• Own experiments end-to-end — from hypothesis to deployment — with minimal supervision.
• Optimize model inference (latency, memory) for production-scale workloads.
• Set up scalable infrastructure for model training, evaluation, and continuous improvement.
• Help shape our ML/AI roadmap and contribute to technical strategy.

What We’re Looking For

• 3+ years of experience as an ML Engineer
• Deep expertise in NLP and LLMs (e.g., transformers, LoRA, vector search, prompt engineering).
• Strong Python skills and hands-on experience with frameworks like Hugging Face Transformers, LangChain, OpenAI, PyTorch.
• Experience deploying ML models in production (e.g., APIs, containers, cloud-based services).
• Comfort working in early-stage/startup environments — fast pace, lots of ambiguity, high impact.
• Ability to work autonomously and make product-informed decisions with minimal oversight.

Application Process:

If you are a motivated individual who thrives in a dynamic and supportive work environment, we’d love to hear from you. Please note that any offer of employment will be conditional upon the completion of background and reference checks, including a criminal record check and/or credit check (where applicable).

We value diversity and encourage applications from people with disabilities. Accommodation is available upon request throughout the selection process.

We appreciate all applications; however, only those shortlisted will be contacted by our Talent Acquisition Team.