Technical Lead (Machine Learning)

1 hour, 12 minutes ago
Full-time
Lead
Software Development
AVOMIND

AVOMIND

AVOMIND is a global recruitment firm based in Berlin, specializing in hiring commercial, strategy, and analytics & insights talent for companies and candidates worldwide. With a focus on executive search and embedded recruitment, AVOMIND connects high-...

Professional Services
11-50
Founded 2019

Description

  • Lead the end-to-end execution of machine learning systems, including data pipelines, training workflows, evaluation frameworks, inference architecture, and production deployment.
  • Fine-tune and optimize models using techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), direct preference optimization (DPO), and model distillation.
  • Design, build, and operate scalable inference systems with a focus on latency, cost efficiency, and reliability.
  • Develop and maintain data pipelines for synthetic and real-world training datasets.
  • Build evaluation frameworks to measure model performance, robustness, safety, and bias.
  • Optimize production deployments through GPU utilization, memory efficiency, inference optimization, and scaling strategies.
  • Partner with application engineering teams to integrate machine learning systems into backend, desktop, and mobile products.
  • Continuously improve production systems through monitoring, rapid iteration, and data-driven optimization.

Requirements

  • Proven experience building and deploying production-grade machine learning systems used by real users.
  • Strong expertise with large language models, including model behavior, limitations, and failure modes.
  • Experience developing scalable ML infrastructure, training pipelines, and inference systems.
  • Strong software engineering skills with the ability to write maintainable, production-quality code.
  • Experience balancing production constraints such as latency, reliability, scalability, cost, and safety.
  • Strong ownership mindset with the ability to independently drive technical initiatives from design through deployment.
  • Excellent communication and collaboration skills in cross-functional engineering teams.
  • Experience with Python (preferred).
  • Experience with PyTorch and/or JAX (preferred).
  • Experience with GPU-based model training and inference systems (preferred).

Interested in this position?

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