Principal Machine Learning Engineer Setúbal

Principal Machine Learning Engineer
Setúbal
Setúbal, Setubal, Portugal

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
- leading client. In this role, you’ll be at the forefront of designing and deploying advanced, scalable, and
- 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
- evolving field of AI specifically. Responsibilities
Design for Scale: Engineer secure, reliable, and
- performance backend systems and data infrastructures that scale seamlessly. Pioneer Innovation: Lead the AI division to develop and deliver
- 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
- 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 Rabbit
MQ and advanced messaging patterns. Familiarity with Dev
Ops/MLOps practices and containerization tools. A
- 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
- 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
- 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 No
SQL databases.