Senior Machine Learning Engineer

The Senior Machine Learning Engineer will develop and scale advanced machine learning solutions that transform complex operational data into accurate, reliable customer experiences. In this role, you will lead the development of computer vision and multimodal models, taking innovative approaches from experimentation through production deployment. You will fine-tune models, build robust data pipelines, and establish evaluation frameworks to continuously improve accuracy, performance, and efficiency. Working across Engineering and Fulfillment Operations, you will help strengthen real-time processing systems and expand service capabilities into new markets. You will also contribute to scalable cloud infrastructure, reliable model monitoring, and high engineering standards. This is an opportunity to combine technical leadership and hands-on machine learning expertise in a fast-moving, innovation-driven environment.

• Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related discipline, or equivalent practical experience.

• At least 3 years of experience in machine learning engineering.

• Proven experience developing, deploying, and maintaining machine learning models in production environments.

• Strong proficiency in Python and software engineering best practices, including automated testing, data validation, and asynchronous programming.

• Hands-on experience with computer vision, multimodal models, or vision-language models.

• Familiarity with machine learning frameworks and libraries such as PyTorch, Hugging Face Transformers, PEFT, or vLLM.

• Experience with model fine-tuning, prompt design, performance evaluation, and image processing tools such as OpenCV.

• Experience with cloud-based machine learning platforms, preferably Google Cloud.

• Familiarity with containerization, orchestration, and monitoring tools such as Docker, Kubernetes, GitHub Actions, or Datadog.

• Strong technical ownership, analytical thinking, and problem-solving skills, with the ability to lead complex initiatives and make sound technical decisions.

• Excellent communication and collaboration skills, including the ability to explain technical concepts and work effectively across teams.

• Familiarity with Kotlin, Java, message-driven architectures, or Protocol Buffers is an advantage.

• Experience in lottery, gaming, financial technology, or other regulated industries is considered a plus.