About TSG
TSG, a publicly traded defense high-tech group, develops advanced systems for the Israeli defense industry.
We specialize in cutting-edge technological solutions in the fields of intelligence, command and control, and cybersecurity, continuously integrating new technologies into mission-critical systems.
As part of our continued growth, TSG Group, a leading defense high-tech company, is seeking a Technical Lead / Team Lead - AI & Machine Learning to join a core team working on advanced, mission-critical AI solutions.
Role Overview
The team’s mission is to bridge the gap between research and production, designing robust AI solutions for critical and operational environments.
Key Responsibilities
- Lead a cross-functional team of ML engineers, fostering a culture of technical excellence and continuous learning.
- Combine hands-on technical leadership with people leadership – including architecture design, core development, code reviews, deployment, and production support.
- Serve as a technical authority in your area of expertise, providing high-level guidance and implementing best practices across additional AI domains.
- Work closely with Project Managers, System Architects, and external customers to translate complex operational requirements into scalable AI solutions.
- Own and oversee the end-to-end engineering lifecycle, including deployment of robust models in classified environments, on-premise systems, and edge platforms.
Requirements
- 5+ years of experience in Machine Learning / Data Science, including at least 2 years in a technical leadership role.
- Strong proficiency in Python and ML frameworks such as PyTorch and/or TensorFlow, with production-grade coding standards.
- Proven experience developing ML projects and deploying them to production.
- Deep expertise in at least one core AI domain, with strong conceptual understanding of others, including:
- Generative AI
- NLP / RAG pipelines
- Computer Vision
- Reinforcement Learning
- Tabular ML / Deep Learning algorithms
- Strong problem-solving skills and critical thinking.
- Experience with Docker, Kubernetes, and Linux, particularly in on-premise or edge environments.
Advantages
- Experience with model optimization (C++, TensorRT, ONNX, Quantization).
- Experience with ML CI/CD, model versioning, and testing strategies.
- Background in defense, security, or intelligence environments.
*This position is open to women and men alike.