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Job Search

Altimetrik

Canada / Global

Python Developer

Job Description

Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization’s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.

Altimetrik helps get companies get “unstuck”. We’re a technology company that lives organizations a process and context to solve problems in unconventional ways. We’re a catalyst for organization’s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable.

At least 8 years of experience as Python Developer.

Demonstrated proficiency with key Python libraries for backend development, data processing, and AI/ML (e.g.,

FastAPI /Flask/Django, Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, LangChain, LlamaIndex).

Exposure in SQL/PL-SQL, RDBMS or any other database systems implementation and query.

Experience with AI development frameworks and concepts, including Retrieval-Augmented Generation (RAG), Machine Learning Control Plane (MCP), and Large Language Models (LLMs).

Proficiency in containerization technologies such as Docker and orchestration platforms like Kubernetes.

Ability to think strategically and the ability to engage resources outside of their direct control to achieve objectives.

Capable of writing and building components to integrate into new or existing systems.

Documentation experience for complex software components.

Ready to work within a collaborative environment with teams.

Creative thinking for identifying new opportunities.

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