AI/ML Engineer

TL;DR

AI/ML Engineer: Assessing and developing novel AI-based solutions for core hirify.global products with an accent on enhancing and generating new product features using evolving AI/ML architectures, tools, and models. Focus on integrating AI/ML models with massive real-time signal recordings and optimizing model accuracy, latency, and energy efficiency.

Location: Onsite in Dresden, Germany

Company

hirify.global develops and produces solutions in Test & Measurement, Technology Systems, and Networks & Cybersecurity, aiming for a safer and connected world.

What you will do

• Develop value-generating capabilities with ML and generative AI models and techniques.
• Integrate AI/ML models into hirify.global products with massive real-time signal recordings.
• Analyze data quality and performance metrics to optimize model accuracy, latency, and energy efficiency.
• Collaborate with stakeholders to ensure an iterative business-driven approach.
• Collaborate with MLOps engineers in the transition from prototypes into production-ready deployments.
• Stay up-to-date on emerging AI/ML research and adapt techniques to use-cases and opportunities.

Requirements

• MSc/PhD in Electrical Engineering, Communications Engineering or a related field.
• 2+ years of experience in AI/ML exploration and development (e.g., transformer, autoencoder, self-supervised learning).
• Experience in applying AI/ML at product-ready scale, e.g., in signal processing, audio or computer vision pipelines.
• Proficient in cloud-native AI development and deployment while adhering to MLOps best practices.
• Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, MLFlow).
• Expertise in communications and signal processing (e.g., FFTs, radio channel models, modulation types).
• Fluent English required.

Nice to have

• Papers in recognized journals / conferences.
• Contributions to or publishing of own open source projects.
• German language skills are a plus.

Culture & Benefits

• hirify.global fosters a culture of equal opportunities, encouraging applications regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, sexual orientation, and identity.
• Insights into daily adventures, passionate team, and innovative technologies behind their solutions.