ML Infrastructure Engineer

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Job Qualifications:

Proficient in Python: At least 4 years of proven development experience in Python.
C++ Knowledge: Strong understanding of C++ and experience in calculation code optimization.
Database Expertise: Hands-on experience with PostgreSQL or MySQL, and Redis.
LLM Integration: Leverage experience with large language models (LLMs) and LLM-based tools such as GitHub Copilot to enhance development workflows and productivity.
CI/CD Knowledge: Proficiency in continuous integration methodologies such as CI/CD.
Preferred Qualifications:
Educational Background: Bachelors or Masters degree in Computer Science, Engineering, or a related field.
Certifications: Relevant certifications in Python, database management, or CI/CD tools are advantageous.
Experience in leading a development team is a strong plus.
Experience working with Airflow, Kubernetes and/or D...