ML Engineer - AI/Computer Vision

About Conntour

Conntour is a startup funded by top‑tier Silicon‑Valley investors (e.g. YC, General Catalyst and SV Angel).

We are building the next generation of defense‑tech automation systems, connecting distributed camera networks, sensors, and natural‑language interfaces to surface mission‑critical insights in real time.

Our platform is already protecting sensitive sites for private and government agencies, and we’re just getting started.

The Impact You’ll Make

As one of our first MLEs, you’ll shape everything from research direction to deployment strategy.

Youʼll own how computer‑vision and multimodal models are trained, packaged, and served.

Your work will improve the safety of civilians and responders in Israel and around the world.

You’ll have to influence architecture, culture, and team growth.

What You’ll Do

• Design end‑to‑end ML & LLM pipelines: Data ingestion, labeling, synthetic dataset generation, model registry, and rollout.
• Build multimodal VLM services: enable natural‑language querying, scene description, and system reasoning.
• Optimize real‑time video analytics: Profile GPU workloads, quantize/compile models with TensorRT, and stream inference results at sub‑second latency.
• Drive MLOps best practices: Continuous training, drift detection, self‑healing rollbacks, and A/B testing of models in production.
• Collaborate cross‑functionally: Partner with CV researchers, LLM prompt engineers, and backend teams to expose model insights via gRPC/REST and event streams.
• Advance safety & compliance: Implement zero‑trust networking, secret management, and audit trails for our multi‑tenant clusters in high‑security environments.

What We’re Looking For

• 3 + years building ML or MLOps systems.
• Production experience with Docker & Kubernetes and modern CI/CD.
• Strong backgorund in computer‑vision pipelines (classification, detection, tracking) and common frameworks (PyTorch, TensorFlow, OpenCV).
• Comfort profiling GPU workloads and squeezing every millisecond from CUDA/TensorRT or similar.

Big Bonuses:

• Proven track record deploying and maintaining on‑prem or edge solutions.
• Hands‑on experience fine‑tuning or integrating LLMs (RAG, LoRA, agents).
• Knowledge of stream‑processing for high‑volume video data.
• Background working with government or regulated customers where security and auditability are strict.
• Experience Rust or Go

Why Conntour

• Cutting‑edge tech — Every line of code touches the frontier of AI: multimodal transformers, GPU acceleration, and LLM reasoning.
• Mission with real‑world stakes — Your work will literally help prevent incidents and save lives in Israel and around the world.
• Founder‑level ownership — Join as one of the first ten employees and shape both product and culture while earning meaningful equity.