Senior ML Engineer (AI)

TL;DR

Senior ML Engineer (AI): Taking ownership of the end-to-end machine learning delivery cycle, including building, testing, deploying, and supporting solution components. Focus on transforming business goals into data science problems and contributing to the experiment design process.

Location: Hybrid work mode. Relocation package offered for candidates from other regions

Company

hirify.global is a company.

What you will do

• Take ownership of the end-to-end machine learning delivery cycle, including building, testing, deploying, and supporting solution components.
• Lead the design of complex ML systems from scratch, considering architectural aspects, user needs, and non-functional requirements.
• Transform business goals into data science problems and define relevant proxy metrics and non-functional requirements.
• Create and maintain DS-powered services in a production environment, collaborating with other teams and contributing to the backend systems and infrastructure.
• Mentor and onboard junior team members, supporting a culture of continuous learning and best practices.

Requirements

• Comprehensive experience autonomously implementing and leading ML projects, with a proven track record of successes and lessons learned.
• Expert-level proficiency in classic machine learning, deep learning, and advanced mathematics.
• Strong practical knowledge of MLOps instruments for managing the ML model lifecycle.
• Solid software system design skills to contribute to overall architecture, and the ability to design ML systems from scratch.
• Proficiency in Python and its frameworks for streaming, batch, and async data processing.
• Common knowledge of technologies for backend integration (e.g., Golang).

Culture & Benefits

• Stable salary, official employment
• Health insurance
• Hybrid work mode and flexible schedule
• Relocation package offered for candidates from other regions
• Access to professional counseling services including psychological, financial, and legal support
• Diverse internal training programs