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Python à Canada

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Lead Python Developer
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Distributed Systems Software Engineer, Python / Go

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Telco Cloud Engineer (5G, OpenRan, OpenStack, Python) - Americas or APAC
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Lead Python Developer

Citi
Mississauga
CAD 90 000 - 150 000
Description du poste

The Applications Development Technology Lead Analyst is a senior-level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Responsibilities:
  1. Partner with management teams to ensure appropriate integration of functions to meet goals and identify system enhancements for new products and process improvements.
  2. Resolve high-impact problems through evaluation of complex business and system processes, adhering to industry standards.
  3. Provide expertise in applications programming, ensuring design aligns with the architecture blueprint.
  4. Develop standards for coding, testing, debugging, and implementation based on advanced system flow knowledge.
  5. Gain comprehensive understanding of how business areas like architecture and infrastructure support business goals.
  6. Perform in-depth analysis to define issues and develop innovative solutions.
  7. Serve as an advisor or coach to mid-level developers and analysts, assigning work as needed.
  8. Assess risks in business decisions, ensuring compliance with applicable laws and regulations, and managing control issues transparently.
Qualifications:
  1. Experience in designing, building, and maintaining scalable ETL/ELT data pipelines.
  2. Proficiency with big data frameworks like Apache Spark, Hadoop, Kafka.
  3. Programming skills in Python or Scala.
  4. Knowledge of data processing frameworks and cloud platforms (AWS, Azure, GCP).
  5. Strong SQL and database technology expertise.
  6. Experience with orchestration tools such as Apache Airflow or Prefect.
  7. Experience with building large-scale document processing applications using supervised learning models and LLMs.
  8. Experience with Agentic RAG frameworks like LangChain, CrewAI, and Vector Databases.
  9. Knowledge of model evaluation, tuning, and monitoring tools like Ray Tune and MLFlow.
  10. Familiarity with fine-tuning open-source LLMs and containerization (Docker, Kubernetes) is a plus.
Education:
  1. Bachelor’s degree or equivalent experience; Master’s degree preferred.

This description provides a high-level overview of the role. Additional duties may be assigned as needed.

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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