ML-Engineering Lead

Description

What 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.