Senior Machine Learning Engineer, Edge ML, IoT

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The Formula Consulting

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

🎯 Recruiter

🤝 B2B

Recruitment • B2B

The Formula Consulting is a Berlin-based recruitment and HR consultancy specializing in IT talent acquisition for small and medium-sized companies. They offer end-to-end hiring services including job ad optimization, candidate experience and process improvement, onboarding support (up to three months), and employer branding and retention strategies focused on leadership development and conflict-free communication. The firm focuses on data and tech roles (Data Analytics, Data Science, Data Engineering, Data Warehouse, Product, IT project management), runs diversity initiatives (e. g. , pinkparrot) and supports clients across German-speaking markets.

📋 Description

• You will be part of a 35-person team of technology-driven sensor, IoT, and hardware engineers. • Together with your colleagues you will take on the following tasks: You are part of the team building a next-generation localization product with a learning map architecture. • You develop computer vision models (dataset preparation, auto-labeling, training optimization, edge/cloud deployment) and integrate visual and acoustic sensor data into the system. • You process multi-modal sensor data (images, radar, acoustics) under challenging field conditions such as jamming or sensor degradation. • You run machine learning and AI models directly on local sensors instead of on cloud servers and train models directly on edge hardware (e.g., NVIDIA Jetson). • You implement scalable models for low-latency applications. • You combine GPU-accelerated vision models (CUDA, TensorRT, DeepStream) with scalable backend services. • You work on real-time networking for highly scalable distributed systems. • Together with Sensor Fusion Engineers, MLOps, and DevOps Engineers you enable fast and secure deployments. • You monitor systems, troubleshoot incidents, and continuously improve observability.

🎯 Requirements

• At least 5 years of professional experience in the IT field (e.g., software engineering). • At least 2 years of full-time professional experience as a Machine Learning Engineer, ideally with a focus on acoustics. • At least 2 years of experience in the IoT field. • Fluent in Python and relevant frameworks. • Strong experience with the embedded Linux ecosystem. • Initial experience with cloud platforms. • You have worked for the same employer for at least 2 consecutive years. • Fluent English; any additional spoken language is a plus. • You are motivated to work exclusively in an operational, hands-on role (not in management) for the next 3–5 years.

🏖️ Benefits

• 30 days of vacation. • Health insurance package.