AI Engineer

2 weeks ago

Montreal, Quebec, Canada Alexa Translations Full time

About Alexa Translations
Alexa Translations specializes in providing translation services for the legal, financial, and securities sectors. Leveraging proprietary A.I. technology and a team of highly specialized linguistic experts, we deliver unmatched speed and quality. Our machine translation engine is best-in-class and specifically trained for the French-Canadian market. Backed by two decades of award-winning client service, we strive to set the industry standard.

About the Role
We are seeking a seasoned AI engineer to develop our next-generation intelligent translation and translation-related service engine using Generative AI (GenAI) and Large Language Model (LLM) technologies. The successful candidate will work closely with our GenAI team lead, develop and implement state-of-the-art algorithms, and collaborate with our software team to deploy models. A solid background in deep learning, machine learning, natural language processing, and big data is essential. The ideal candidate will stay current with the technological cutting edge and build applications of LLM and GenAI to machine translation with best industry practices.

Responsibilities
• Design, build, and test models in collaboration with machine learning engineers and data scientists.
• Contribute to technological innovations by staying current with GenAI and LLM advancements 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.

Requirements
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 1+ years of industry experience developing GenAI and LLM applications is preferred.
• Proficiency in Python programming and software development practices, with experience in building and maintaining scalable, production-grade software systems.
• Working knowledge and project-based record of all of the following: prompt tuning, RAG, ICL.
• Working knowledge and project-based record of at least one of the following is a plus: continued pre-training, instruction fine-tuning, Agent.
• Strong problem-solving skills, attention to detail, and the ability to work independently and collaboratively in a fast-paced environment.
• Hands-on experience with Huggingface APIs or Amazon Bedrock.
• Expert skills of Python, including PyTorch, TensorFlow, Pandas, etc.
• Experience with cloud platforms like AWS, GCP, or Azure
• Self-driven, self-motivated with excellent time management skills
• Excellent communication skills, with the ability to convey complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
• Familiarity with GPU programming and optimization techniques for accelerating deep learning computations.
• Ability to adapt to shifting priorities without compromising deadlines and momentum.
• Prior experience in generative AI research, projects, or internships, with contributions to open-source projects or publications in relevant conferences or journals.

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