Machine Learning Engineer / Researcher (IR-556)

[…] is a software development company delivering innovative solutions since 2007. We operate across North America, Latin America, the Nordic region, the UK, and Europe. We specialize in industries like Fintech, Healthcare, EdTech, Construction, Hospitality, and more, partnering with startups, mid-sized businesses, and Fortune 500 companies to drive innovation and scalability.

Our clients include Jaguar Motors, Universal Pictures, Harley-Davidson, and many more where our teams are making daily impact

Together, our team delivers solutions that make a difference. Learn more at [link] Our client is a management consulting and technology firm focused on transforming global healthcare and diverse industries through data-driven strategies, cutting-edge analytics, and advanced AI solutions. This role sits within a focused research initiative dedicated to adapting small language models (SLMs) to specialized, high-value domain applications.

Experience: 3+ years in Machine Learning Engineering or Applied ML, with hands-on experience fine-tuning transformer-based language models. Core Tech Stack: Advanced Python and PyTorch proficiency. Frameworks & Ecosystem: Deep fluency in the Hugging Face ecosystem, including Transformers, PEFT, Datasets, Accelerate, and TRL.

Fine-Tuning Expertise: Practical command of SFT with LoRA/QLoRA, alongside the judgment to reason about CPT and RL/preference methods. Model Selection: Strong understanding of base model architectures, to