Senior Generative AI Engineer

2 weeks ago

Montreal, Quebec, Canada Alexa Translations Full time
About Alexa Translations

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 Senior 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 be working in the R&D Team which reports to the VP of Technology with the objective to develop and implement state-of-the-art algorithms by fast prototyping. We expect our Senior Generative AI Engineer to stay current with the technological cutting edge and drive the application of LLM and GenAI to translation, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data. You'll play a pivotal role in pushing the boundaries of applying GenAI to translation scenarios and create innovative solutions.

Responsibilities
  • Research and implement state-of-the-art LLM techniques including continued pre-training, supervised fine-tuning, reinforcement learning from human or AI feedback (PPO, DPO, GRPO, etc.), and LLM deployment while also focusing on prompt engineering and GenAI more broadly.
  • Work closely with our expert advisor to strategize, plan, and design technical roadmaps and features of GenAI products.
  • Develop prototypes of GenAI and LLM application to translation use cases.
  • Provide technical leadership and mentorship to junior engineers, guiding them in best practices, algorithms, and technologies related to generative AI and LLMs, fostering a culture of innovation and continuous learning within the team.
  • Drive technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia.
  • Stay updated with the latest advancements and research trends in generative AI, attending conferences, workshops, and seminars, and actively contributing to the AI research community through publications and presentations
  • Work closely with DevOps Engineers, software engineers, designers, and product managers to understand project requirements, align on technical solutions, and deliver high-quality generative AI solutions that meet business objectives and user needs.
  • Communicate technical strategies effectively across teams and manage stakeholder expectations.
Requirements
  • Master in Computer Science, Data Science, Statistics, or Engineering. PhD or equivalent experience is preferred.
  • 3 years of industry experience developing GenAI and LLM applications.
  • Working knowledge and project-based record of all of the following: prompt tuning, RAG, SFT.
  • Working knowledge and project-based record of at least one of the following: continued pre-training, PPO/DPO/GRPO, Agent system (including MCP server).
  • Proficiency in programming languages such as Python, with experience in software development and version control systems (e.g., Git).
  • Hands-on experience with Huggingface APIs or Amazon Bedrock. Experience with both is preferred.
  • Expert skills of PyTorch, TensorFlow, Pandas, etc.
  • Experience with cloud platforms like AWS, GCP, or Azure
  • Excellent problem-solving skills, critical thinking, and the ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills, with the ability to articulate complex technical concepts effectively and work cross-functionally with diverse teams.
  • Self-driven, self-motivated with excellent time management skills
  • Excellent organizational, communication, and interpersonal skills
  • Ability to adapt to shifting priorities without compromising deadlines and momentum.

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