Talent.com
Esta oferta de trabalho já não está disponível no seu país.
Principal Machine Learning Engineer

Principal Machine Learning Engineer

XcedeLisbon, Portugal, Portugal
Há 8 dias
Descrição do cargo

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.
    • Criar um alerta de emprego para esta pesquisa

    Machine Learning Engineer • Lisbon, Portugal, Portugal