ML-Engineering Lead

DescriptionWhat You Will Do:End-to-End Ownership: Lead the full technical execution of ML projects, ensuring every stage—from data acquisition to deployment—meets our rigorous standards.R&D Collaboration: Partner closely with R&D departments to design data collection strategies and integrate ML-based tools and agents into their specialized workflows.Versatile Implementation: Develop models and intelligent systems for a variety of use cases, ranging from real-time field performance to autonomous research-support tools.Technical Authority: Act as a founding voice for ML implementation and strategy within the CTO’s office.Qualifications:M.Sc. in Electrical Engineering, Computer Science, or a related technical field.At least 7 years of experience building, training, and deploying ML models.Proficiency in Python and deep familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow).Experience building AI agents (e.g., RAG systems, agentic workflows, or tool-calling implementations) is a significant plus.Proven ability to take a machine learning task from the research phase to a fully implemented and evaluated solution.