The Role
As ML-Engineering Lead, you'll drive ML project execution from concept to deployment, collaborate with R&D, and develop diverse ML applications.
Summary Generated by Built In
At D-Fend Solutions, our people are our greatest strength — and technology is our passion. Our team of innovators and subject matter experts, including veterans of elite military intelligence technology units, is transforming the way organizations protect themselves from drone threats.
As the global leader in cyber-takeover counter-drone technology, we design and deliver advanced, software-defined solutions that empower our customers to detect, take control, and safely land unauthorized drones — with precision and reliability.
Every day, we push the boundaries of innovation to meet real-world security challenges across industries and environments. We’re proud of our cutting-edge technology, our global reach, and the impact we make in securing the skies.
We’re seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment — those who want to be part of the next generation of airspace security innovation.
Join D-Fend Solutions and help make the world a safer place.
Become a D-Fender! Work with the world’s leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
The Opportunity We are starting a new ML/AI organization directly reporting to the CTO, to pioneer next-generation capabilities for our industry-leading defense systems. As a Founding ML-Engineering Lead, you will be the technical cornerstone of this initiative. This is a high-impact role designed for a practitioner who seeks total technical ownership of the machine learning lifecycle. You will be responsible for taking novel AI projects from initial concept through data collection, design, implementation, and evaluation, all the way to deployment.
The Technical Challenge Our ML initiatives span a diverse technical landscape. You will lead projects that range from field-oriented applications, where high accuracy and reliability are paramount, to research-oriented tools and agentic workflows designed to enhance our R&D capabilities and accelerate complex data analysis. Working in deep collaboration with our R&D teams, you will leverage unique, proprietary data to solve problems at the forefront of the counter-drone industry.
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.
Skills Required
- M.Sc. in Electrical Engineering, Computer Science, or related field
- At least 7 years of experience building, training, and deploying ML models
- Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow)
- Experience building AI agents (e.g., RAG systems, agentic workflows)
- Proven ability to implement machine learning tasks from research to solution
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The Company
What We Do
D-Fend Solutions is a leading provider of RF cyber-takeover technology for counter-drone (C-UAS) operations. Their flagship product, EnforceAir, allows organizations to detect, identify, and safely neutralize rogue drones in sensitive environments like military zones, airports, and critical infrastructure. By using non-kinetic, cyber-based mitigation, they ensure operational continuity and safety, helping organizations maintain control of their airspace against evolving drone threats.
