Principal Machine Learning Engineer Lisboa

Principal Machine Learning Engineer
Lisboa
Lisboa, Lisboa, 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.