Overview
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
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.
Company:
NXAI
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
