Principal Ai Engineer
2 meses atrás
We are looking for a talented and passionate Principal AI Engineer with a deep understanding of distributed systems, microservices architecture, and extensive experience in Python. This is an exciting opportunity for someone with a strong foundation in software engineering and a passion for building high-quality, data-intensive, and AI-powered systems. You will have the autonomy to lead complex projects while collaborating with cross-functional teams to deliver impactful solutions.
Responsibilities: Design, implement, and optimize scalable, high-performance distributed systems and microservices.Develop and maintain systems using Python and other relevant technologies.Utilize message brokers such as Kafka or RabbitMQ to design and implement messaging patterns.Work autonomously on highly complex tasks, ensuring performance, security, observability, and code quality.Lead and participate in the implementation of DevOps/MLOps practices, including containerization technologies (Docker, Kubernetes, etc.).Collaborate with cross-functional teams, providing technical insights and guidance to stakeholders.Monitor, troubleshoot, and improve production systems to ensure optimal performance and uptime.Make data-driven decisions to address system issues or enhance functionality.Requirements: 5+ years of experience with Python in production environments.10+ years of experience in software development, working with a diverse set of programming languages and paradigms.Proven track record of designing, implementing, and scaling performant distributed systems and microservice architectures.Deep understanding of classic Machine Learning, Deep Learning, and Generative AI algorithms.Familiarity with the ML development lifecycle and its differences from traditional software development workflows.Experience with message brokers such as Kafka or RabbitMQ and understanding of messaging patterns.Solid experience in DevOps/MLOps practices, including containerization technologies (e.g., Docker, Kubernetes).Familiarity with big data technologies such as Apache Spark, Delta Lake, Apache Kafka, Apache Flink, and NoSQL databases.
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