Senior Machine Learning Engineer (Customers)

The company We are a rapidly growing startup developing solutions that utilise Virtual Agents to handle manual customer and marketplace operations tasks. Virtual agents blend deterministic Python code, LLM reasoning and agentic AI capabilities to undertake this work, along with a fallback to human experts. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology will transform the way businesses interact with their customers. We are looking for a Senior Machine Learning Engineer to join our team, focusing on building and optimizing machine learning models to improve customer experience and streamline operations. Responsibilities: * Design, develop, and deploy machine learning models for customer-facing applications. * Collaborate with product and engineering teams to identify opportunities for machine learning applications. * Implement and maintain machine learning pipelines for data processing, model training, and evaluation. * Experiment with different machine learning algorithms and techniques to improve model performance. * Evaluate model performance and iterate on model design and implementation. * Stay up-to-date with the latest advancements in machine learning and apply them to our solutions. * Mentor and guide junior engineers. Qualifications: * Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. * 5+ years of experience in machine learning and data science. * Strong proficiency in Python and relevant machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). * Experience with natural language processing (NLP) and large language models (LLMs). * Experience with cloud platforms (e.g., AWS, GCP, Azure). * Experience with model deployment and monitoring. * Excellent problem-solving and communication skills. Bonus points: * Experience with customer service or customer support systems. * Experience with reinforcement learning. * Experience with MLOps practices. Benefits: * Competitive salary * Stock options * Health insurance * Paid time off * Professional development budget