3 days ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.Direct message the job poster from XcedeAssociate Director – Data & AI RecruitmentPRINCIPAL MACHINE LEARNING ENGINEER(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.Responsibilities1.
Design for Scale: Engineer secure, reliable, and high-performance backend systems and data infrastructures that scale seamlessly.2.
Pioneer Innovation: Lead the AI division to develop and deliver cutting-edge AI models in production environments.3.
Set the Standard: Showcase engineering excellence by driving best practices in coding, reviews, and the software development lifecycle.4.
Inspire and Guide: Mentor senior engineers and tech leaders, helping them grow both technically and professionally.5.
Boost Performance: Spearhead efforts to optimize system performance, streamline data pipelines, and enhance ETL workflows.6.
Integrate with Precision: Collaborate across teams to ensure smooth incorporation of AI solutions into Kaizen's architecture.7.
Stay Ahead of the Curve: Identify and implement emerging technologies to maintain our edge in innovation.8.
Define the Future: Shape the AI technical strategy to align with long-term goals, separate from immediate product priorities.What You'll Bring1.
Over 10 years of software development experience across various languages and paradigms, with 5+ years in Python.2.
Proven expertise in designing, optimizing, and scaling distributed systems and microservice architectures.3.
Hands-on experience with message brokers like Kafka or RabbitMQ and advanced messaging patterns.4.
Familiarity with DevOps/MLOps practices and containerization tools.5.
A self-driven approach to tackling complex problems with a focus on performance, security, observability, and quality.6.
A passion for monitoring and troubleshooting production systems to make data-informed decisions.7.
Outstanding communication skills to bridge the gap between technical teams and diverse stakeholders.Bonus Points1.
Expertise in classic ML, deep learning, and generative AI algorithms.2.
A deep understanding of the ML lifecycle and its differences from traditional software development.3.
Experience building data-intensive, AI-driven products.4.
Knowledge of experimentation platforms, feature serving, and model serving.5.
Proficiency with big data technologies like Apache Spark, Delta Lake, Kafka, Flink, and NoSQL databases.Seniority levelNot ApplicableEmployment typeFull-timeJob functionInformation TechnologyIndustriesTechnology, Information and Media and Software Development#J-*****-Ljbffr