Alexa Translations provides translation services in the legal, financial, and securities sectors by leveraging proprietary A.I. technology and a team of highly specialized linguistic experts. Unmatched in speed and quality, our machine translation engine is best-in-class and specifically trained for the French-Canadian market. If that wasn’t enough, our technology is backed by two decades of award-winning client service.
About the Role
We are looking for a Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will report to the team lead on GenAI, develop and implement state-of-the-art algorithms by fast prototyping, and collaborate with the software team to deploy models. We expect our Generative AI Engineer to stay current with the technological cutting edge and build applications of LLM and GenAI to machine translation with best industry practices, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data.
Responsibilities
● Research and implement state-of-the-art LLM techniques including continued pre-training, instruction fine-
tuning, preference alignment, and LLM deployment while also focusing on prompt engineering and GenAI more
broadly.
● Work closely with machine learning engineers and data scientists to design, build, and test models.
● Contribute to technological innovations by staying current to the cutting-edge achievements of GenAI and LLM
from industry and academia.
● Develop efficient and scalable algorithms for training and inference of generative models, leveraging deep
learning frameworks such as TensorFlow or PyTorch and optimizing performance on diverse hardware platforms.
● Train and evaluate generative models using appropriate metrics and benchmarks, fine-tuning model parameters, architectures, and hyperparameters to optimize performance, stability, and generalization.
● Work closely with software and DevOps engineers to deploy GenAI models.
● Document code, algorithms, and experimental results, following best practices for reproducibility, version
control, and software engineering, and contribute to internal knowledge sharing and continuous improvement
initiatives.
