Technical leader at company building intelligent ML backbone for business processes. Mentoring engineers and solving complex challenges in production-grade ML systems.
Responsibilities
Engineer the future of our company by building an autonomous and intelligent backbone for our core business processes.
Be a technical leader and systems builder, tasked with solving complex challenges in production-grade ML.
Architect and own the most critical ML services that redefine efficiency.
Mentor other engineers and elevate the technical standards for the entire team.
Establish and adopt MLOps best practices across the team.
Design, build, and fine-tune foundational predictive engines, including models for forecasting, planning, and process optimization.
Partner with business and product leaders to translate ambiguous, high-impact business problems into well-defined machine learning solutions.
Support the automation of decisions and minimization of manual intervention in core business processes using AI and machine learning.
Continuously enhance business capabilities by exploring, prototyping, and advocating for new ML/AI trends and technologies.
Requirements
At least 6 years of relevant experience
Expert proficiency in Python and SQL
Proven hands-on experience architecting and deploying complex ML systems in production
Deep expertise in applying general ML methods to business challenges
Specific experience with time-series forecasting models for real-world applications
Deep experience deploying, monitoring, and maintaining ML systems in a production environment on a major cloud platform (GCP preferred)
Expert knowledge of MLOps principles, containerization (Docker, Kubernetes), and CI/CD for machine learning
Excellent communication skills, with the ability to articulate complex technical concepts and strategy to diverse stakeholders.
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