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Python/NLP Developer [#4896]
Python/NLP Developer [#4896]Alteo Inc. • Montreal (administrative region), QC, CA
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Python / NLP Developer [#4896]

Python / NLP Developer [#4896]

Alteo Inc. • Montreal (administrative region), QC, CA
30+ days ago
Job type
  • Permanent
Job description

Alteo is looking for a Python / NLP Developer for a permanent position based in Montreal.

Responsibilities :

  • Maintain and implement new features in our search engine.
  • Develop and maintain a click analytics system to learn user preferences.
  • Design and improve an intelligent search assistant based on LLM models to assist users with their queries.
  • Optimize the backend systems responsible for processing data and enriching the AI models used in search.
  • Collaborate with NLP researchers, data scientists, and domain experts to experiment, test, and continuously improve our systems.
  • Participate in benchmarking campaigns to measure performance (accuracy, recall, response time, etc.) and optimize systems based on the results obtained.
  • Explore, design, and evaluate new approaches in NLP, such as prompt optimization, reinforcement learning, or hybrid symbolic / neural approaches.

Profile :

  • DEC / BAC in IT, Software Engineering or equivalent
  • 3+ years of relevant experience.
  • Professional experience in machine learning (ML) and natural language processing (NLP), best practices in experimentation and optimization, MLFlow, etc.
  • Knowledge of modern language models (LLM), how they work, and how they are used via prompting (prompt engineering) or fine-tuning.
  • Experience in Python (and / or Java) programming in a data processing and AI context.
  • Proficiency in common tools and libraries : LLM APIs for text completion with function calls (tool use), streaming, “chain of thoughts,” structured outputs, etc.
  • Understanding of classic and modern information retrieval (IR) methods, including TF-IDF, BM25, dense retrieval, RAG, etc.
  • Familiarity with collaborative software development tools : Git, CI / CD, containers, etc.
  • Ability to independently set up reproducible experiments (experimentation, A / B testing, performance logging, etc.).
  • Experience with large-scale production systems or microservice-oriented architectures (an asset).
  • Interest in conversational interfaces and intelligent assistants (an asset).
  • Tech stack : AWS infrastructure : EC2, ECS Fargate, RDS, S3; GitHub, Jenkins, SonarQube, Jira, and Confluence cloud; Windows, Linux, and MacOS work environments.
  • #J-18808-Ljbffr

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    PythonNLP Developer 4896 • Montreal (administrative region), QC, CA

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