Principal Software Engineer

4 semanas atrás

Lisboa, Lisboa, Portugal Xcede Recruitment Solutions Tempo inteiro

PRINCIPAL SOFTWARE ENGINEER (ML / AI) (Lisbon office x1 day a month, OR fully remote in Portugal) Xcede are delighted to be hiring for a Principal ML Engineer on behalf of a market-leading client.
In this role, you'll be at the forefront of designing and deploying advanced, scalable, and high-performing Data & AI solutions.
We're seeking an experienced Backend Engineer with a proven track record in building robust software systems who is eager to innovate in the ever-evolving field of AI specifically.
Responsibilities Design for Scale: Engineer secure, reliable, and high-performance backend systems and data infrastructures that scale seamlessly.Pioneer Innovation: Lead the AI division to develop and deliver cutting-edge AI models in production environments.Set the Standard: Showcase engineering excellence by driving best practices in coding, reviews, and the software development lifecycle.Inspire and Guide: Mentor senior engineers and tech leaders, helping them grow both technically and professionally.Boost Performance: Spearhead efforts to optimize system performance, streamline data pipelines, and enhance ETL workflows.Integrate with Precision: Collaborate across teams to ensure smooth incorporation of AI solutions into Kaizen's architecture.Stay Ahead of the Curve: Identify and implement emerging technologies to maintain our edge in innovation.Define the Future: Shape the AI technical strategy to align with long-term goals, separate from immediate product priorities.What You'll Bring Over 10 years of software development experience across various languages and paradigms, with 5+ years in Python.Proven expertise in designing, optimizing, and scaling distributed systems and microservice architectures.Hands-on experience with message brokers like Kafka or RabbitMQ and advanced messaging patterns.Familiarity with DevOps/MLOps practices and containerization tools.A self-driven approach to tackling complex problems with a focus on performance, security, observability, and quality.A passion for monitoring and troubleshooting production systems to make data-informed decisions.Outstanding communication skills to bridge the gap between technical teams and diverse stakeholders.Bonus Points Expertise in classic ML, deep learning, and generative AI algorithms.A deep understanding of the ML lifecycle and its differences from traditional software development.Experience building data-intensive, AI-driven products.Knowledge of experimentation platforms, feature serving, and model serving.Proficiency with big data technologies like Apache Spark, Delta Lake, Kafka, Flink, and NoSQL databases.
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