Machine Learning Specialist

Highbrow Technology Inc; Manaus; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A technology company based in Manaus is seeking a skilled Python Developer with a proven track record on coding platforms. The ideal candidate will have over 4 years of experience in production environments, expert-level proficiency in Python and core libraries, alongside a Bachelor's or Master's degree in Computer Science. Applicants should be comfortable in fast-paced, research-driven environments and familiar with cloud platforms. This position focuses on high-level problem-solving and system design.

Qualificações

• 4+ years of professional experience writing Python in production environments.
• Deep understanding of data structures and algorithms.
• Experience with distributed systems and APIs.

Conhecimentos

Expert-level proficiency in Python

Strong proficiency in Pandas

Strong proficiency in NumPy

Proven problem-solving skills

Familiarity with cloud environments

Formação académica

Bachelor's or Master's in Computer Science

Descrição da oferta de emprego

Required Qualifications

• Proven track record on coding platforms — e.g., top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions.
• 4+ years of professional experience writing Python in production environments.
• Expert‑level proficiency in Python and core libraries (Pandas, NumPy, AsyncIO, FastAPI, or similar).
• Bachelor's or Master's in Computer Science, Software Engineering, or a related field.

Preferred Qualifications

• Deep understanding of data structures, algorithms, and problem‑solving at scale.
• Experience with system design, clean architecture, and performance optimization.
• Working level proficiency in ML / DS.
• Strong experience with distributed systems, APIs, or data processing pipelines.
• Familiarity with cloud environments (AWS, GCP, or Azure) and CI / CD workflows.
• Experience in open‑source contributions or building developer tools.
• Comfort working in fast‑paced, research‑driven environments.