Artificial Intelligence Engineer Lisboa

Artificial Intelligence Engineer
Lisboa
Lisboa, Lisboa, Portugal

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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
- 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. Responsibilities1. Design for Scale: Engineer secure, reliable, and
- performance backend systems and data infrastructures that scale seamlessly. 2. Pioneer Innovation: Lead the AI division to develop and deliver
- 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
- 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 Rabbit
MQ and advanced messaging patterns. 4. Familiarity with Dev
Ops/MLOps practices and containerization tools. 5. A
- 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
- 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
- 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 No
SQL databases. Seniority level
Not Applicable
Employment type
Full-time
Job function
Information Technology
Industries
Technology, Information and Media and Software Development#J-18808-Ljbffr