Senior Machine Learning Engineer

- PhD in Computer Science, Statistics, Economics, or a related technical discipline with at least 8 years of relevant experience, or an MS with a minimum of 10 years of experience in machine learning and software engineering. - Over 8 years of hands-on experience in designing, building, and deploying AI models, including Reinforcement Learning algorithms, Recommendation Systems, and fine-tuned Large Language Models (LLMs). - Strong understanding of mathematics, statistics, and engineering principles necessary for constructing robust systems. - Proven expertise in scaling and maintaining production-grade ML services with a focus on ML Operations, including versioning and automated monitoring. - Passionate about uncovering new business opportunities with experience in scalable and efficient AI solutions. - Experience collaborating with engineering, product, and operational teams for effective solution execution. - Strong analytical and problem-solving skills with a bias for taking initiative. Preferred: - Background in the automotive industry, especially in ML/AI systems development while ensuring regulatory compliance. - Knowledge of model interpretability and responsible AI practices. - Proficiency in designing and implementing data pipelines using Directed Acyclic Graphs (DAGs). - Familiarity with constructing microservices with gRPC and/or GraphQL endpoints. - Experience with Databricks for machine learning lifecycle management and production deployment.