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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote role and visible ML title increase applicants, but senior, specialized hiring reduces density.
Core ML engineering and MLOps skills are highly transferable across industries.
Explicit 8+ years, principal ML leadership, and required architecture and MLOps expertise enforce strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design and lead scalable, high-quality software solutions focusing on ML workloads and microservices architecture.
Drive software architecture decisions and collaborate with research and product teams to deliver MLOps pipelines and AI projects globally.
Mentor development teams, conduct code reviews, manage technical debt, and identify new technology trends to advance company projects.
Minimum Requirements
Minimum 8+ years of professional software development experience.
Proven experience leading machine learning-based systems development.
Strong expertise in software engineering principles, software architecture design, data pipelines, and familiarity with cloud platforms (Azure, AWS, GCP).
Experience working in Agile/Scrum environments; excellent English communication skills.
Ideal Candidate Profile
Experienced in shaping technical direction on critical global AI/ML projects involving MLOps and agentic pipelines.
Comfortable leading cross-functional collaboration between research, product, and engineering teams.
Skilled in mentoring and guiding developers with an emphasis on coding best practices and scalable architecture solutions.