Machine Learning Engineer – Edge ML, IoT

🔥 0 minutes ago

🗣️🇩🇪 German Required

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Logo of The Formula Consulting

The Formula Consulting

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 engineering enthusiasts specializing in sensors, IoT, and hardware. • Together with your colleagues you will take on the following tasks: • You will develop a next-generation localization product with a learning-based map architecture. • You will design and implement visual and acoustic sensor systems for drone detection. • You will develop a multi-sensor perception and fusion system for the drone early-warning system. • You will run machine learning and AI models directly on local sensors instead of on cloud servers. • You will design scalable machine learning models and deploy them directly onto the drone-detection devices. • You will implement scalable intelligence with low-latency inference. • Together with Fusion Engineers, MLOps and DevOps Engineers you will enable fast and secure deployments. • You will monitor systems, troubleshoot incidents, and continuously improve observability. • If you wish, you can support on-site deployments, collect sensor data, and validate the technology in controlled field trials.

🎯 Requirements

• Due to security regulations for this role, citizenship of an EU member state is required. • You must be officially registered (resident) in an EU country. • Minimum 5 years of professional experience in IT (e.g., software engineering). • Minimum 2 years of full-time professional experience as a Machine Learning Engineer, ideally with a focus on acoustics. • Minimum 2 years of experience in the IoT domain. • Fluent in Python and familiar with the relevant frameworks. • Strong experience with the Embedded Linux ecosystem. • Initial experience with cloud platforms. • You have worked at least 2 consecutive years for the same employer. • Fluent English; any additional spoken language is a plus. • You are comfortable working in the defense sector. • You thrive in a dynamic startup or scaleup environment. • You are motivated to work operationally and hands-on (not in management) for the next 3–5 years. • Ideally experience with fleet data, Bash, Golang, C/C++, MLOps, and DevOps. • Ideally willing to travel 2–3 days per quarter for field trials. • You are familiar with the following buzzwords: #MachineLearning #EdgeAI #TinyML #SensorFusion #ComputerVision #DeepLearning #MLOps #ModelInference #EmbeddedAI #SignalProcessing #PyTorch #TensorFlow #ONNX #Cpp #CUDA #Docker #Kubernetes.

🏖️ Benefits

• 30 days of vacation per year. • Health insurance package.

Apply Now

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