
11 - 50 employees
Founded 2020
🎯 Recruiter
👥 HR Tech
🤝 B2B
Recruitment • HR Tech • B2B
OnHires is a global IT recruitment and staffing partner that sources, vets, and places technical and creative talent for fast-growing companies. They provide services including vetted developers, sourcing, executive search, talent mapping, RPO, HR consulting, and flexible hiring models (subscription, pay-per-hire, hourly), with a focus on fast, high-quality hires and scalable talent pipelines.
🔥 13 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
Founded 2020
🎯 Recruiter
👥 HR Tech
🤝 B2B
Recruitment • HR Tech • B2B
OnHires is a global IT recruitment and staffing partner that sources, vets, and places technical and creative talent for fast-growing companies. They provide services including vetted developers, sourcing, executive search, talent mapping, RPO, HR consulting, and flexible hiring models (subscription, pay-per-hire, hourly), with a focus on fast, high-quality hires and scalable talent pipelines.
• Design and scale production ML systems for LLM-based applications. • Build training and evaluation pipelines for continuous model improvement. • Fine-tune foundation models using modern adaptation techniques such as LoRA, QLoRA, SFT and DPO. • Optimize inference performance, latency and GPU utilization. • Develop high-quality training datasets and evaluation frameworks. • Own deployment, monitoring and reliability of ML services in production. • Help define engineering standards while mentoring a small, high-calibre ML team.
• Experience building and shipping production ML systems used by real users. • Strong Python and PyTorch (or JAX) experience. • Hands-on experience with LLM fine-tuning and inference optimization. • Deep understanding of ML infrastructure, distributed training or GPU-based systems. • Strong engineering mindset with a focus on scalability, reliability and code quality. • Comfortable taking ownership in a fast-moving startup environment.
• Competitive cash compensation plus equity • Remote-first environment with long-term growth opportunities
Apply Nowđź•’ May 29
Senior Machine Learning Scientist driving ML projects for fitness marketplace. Building advanced AI-driven features at Sweatpals to enhance user experience.
đź•’ April 3
Applied ML Engineer at Cantina Labs building data pipelines for video generation models. Excited about AI's role in creativity and social interactions.
🇪🇺 Europe – Remote
đź’µ $200k - $260k / year
⏰ Full Time
🟡 Mid-level
đźź Senior
🤖 Machine Learning Engineer