We are looking for a Software Engineer, Machine Learning to join a small, agile team focused on building scalable machine learning systems for enterprise customers. This role offers the opportunity to work in a fast-paced, innovative environment where your contributions directly impact the product. You will be responsible for taking machine learning models from prototype to production, ensuring performance and scalability in real-world applications. Our client is a fast-growing technology company focused on enabling businesses to build and deploy their own AI models. Their platform allows enterprises to securely and efficiently train AI models on proprietary data, providing flexibility and robustness. Backed by top-tier VCs and leading technology companies, the team consists of engineers, researchers, and industry experts committed to pushing the boundaries of AI technology. As a Software Engineer, Machine Learning , your role will involve taking full ownership of the end-to-end development of machine learning systems. You will design, train, and deploy production-ready models, handle data pipelines, and continuously improve the performance of existing models. The position requires you to be highly adaptable, comfortable working in a startup environment, and able to tackle diverse challenges related to real-world data and machine learning workflows. Key Responsibilities: Design and implement production-ready machine learning models and data pipelines. Collect, process, and analyze data to identify areas for model improvement. Work on model debugging and quickly iterate to handle unique customer cases. Continuously analyze the performance of existing models and apply latest research to improve accuracy. Collaborate closely with the engineering team to optimize the performance of machine learning systems in production. What we can offer you: Competitive salary and benefits package Opportunities to work on cutting-edge machine learning technologies A dynamic, fast-paced work environment with the potential for rapid career growth Exposure to a range of machine learning techniques and frameworks A collaborative team culture Relevant Keywords: The ideal candidate will be experienced with Python , scikit-learn , Keras , TensorFlow , PyTorch , and have a solid understanding of data structures and algorithms . Familiarity with big data technologies like BigQuery , Spark , and Kafka is a plus, as is knowledge of SQL and relational databases .