Machine Learning Engineer (f/m/d)

At NXAI, we're always excited to meet forward-thinking minds eager to shape the future of AI. We work at the cutting edge of technology with a team of technical experts to continue creating excellent solutions.

As Machine Learning Engineer (f/m/d), you will play a key role in building the bridge between research and production, ensuring xLSTM/ViL models are optimized, portable and ready for deployment. Your areas of responsibility include:

• Deep Learning & Model Development

• Model Optimization & Deployment

• Data Handling & Preprocessing

• Performance Profiling & Debugging

Requirements

You may be a good fit if you have:

• Strong PyTorch skills for writing, debugging and optimizing models.

• Profound understanding of transformers, LSTMs and attention mechanisms.

• Time Series Forecasting expertise for long-sequence modeling.

• Knowledge of converting models to ONNX format for deployment, TensorRT or MIGraphX for efficient inference and TorchScript for exporting optimized models.

• Core skills in software engineering and its best practices: structured, modular Python code for ML pipelines and basic C++ knowledge.

• Experience with time-series data pipelines (Dask, Pandas, PySpark) and image preprocessing (OpenCV, torchvision).

• Understanding of NVIDIA Nsight or PyTorch Profiler for speed/memory optimizations.

• Proficiency in applying memory-efficient training strategies (mixed precision, gradient checkpointing).

What you'll get:

• We offer you the opportunity to work in a key position at the forefront of a fast-growing company.

• Competitive salary in line with the market, plus a tailored benefits package.

• Benefit from a diverse and probably one of the best teams in the field of new evolving AI technology, where professional excellence is the guiding principle.

• The chance to make a real impact and shaping the future of AI.