Sr. Applied Machine Learning Engineer

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, NLP • Minimum 5+ years of experience in applied machine learning, with a track record of delivering enterprise products • Proven experience in Generative AI, including fine-tuning, optimizing, and evaluating LLMs, RAG pipelines, and Agentic AI systems • Strong proficiency with AI/ML/NLP techniques, resources and methodologies (ex: Huggingface, Spacy, Scikit-learn, Pytorch). • Strong communication skills and the ability to collaborate effectively with cross-functional teams • Comfortable supporting production systems and debugging challenges in distributed systems • Demonstrated effectiveness in using AI tooling to accelerate research and development workflows • Growth mindset and low ego- you’re eager to pick up new tools and technologies, learn from others, and being open to changing course when it’s right • Start-up experience or comfort in 0→1 product environments. • Familiarity with Kubernetes is a plus. • Experience integrating machine learning models and data driven algorithms into larger system architectures.