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Associate Director – Data & AI Recruitment
PRINCIPAL 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.
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.
Seniority level
Not Applicable
Employment type
Full-time
Job function
Information Technology
Industries
Technology, Information and Media and Software Development
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