About the job
At Qodea, we are a pioneering global technology group, designed for the challenges of tomorrow. We provide exceptional professionals the opportunity to engage in high-stakes projects that can define their careers. Joining us means you will not only tackle complex projects, but also solve problems that have yet to be addressed.
Our elite team is sought after by global leaders like Google, Snap, Diageo, PayPal, and Jaguar Land Rover when the stakes are high and deadlines seem unattainable. We are not your typical consultancy; instead, we operate at the intersection of technology, design, and human behavior to deliver rapid, impactful results. This is work that makes a difference, and it’s something you’ll be proud to discuss with your peers.
We seek individuals who embody:
- Innovation in addressing the most challenging issues.
- Accountability for every outcome.
- Integrity in all actions.
Role Overview
We are in search of a visionary engineer to spearhead our machine learning engineering function. You will oversee the complete lifecycle of machine learning models that drive key product features, from selection and prototyping to large-scale production deployment. This role demands a combination of profound mathematical expertise and top-tier engineering skills to tackle complex business challenges through intelligent systems.
As a Principal Machine Learning Engineer at Qodea, you will:
- Lead the selection, design, and prototyping of ML models for recommendation and predictive analytics.
- Architect robust ML lifecycles utilizing Directed Acyclic Graphs (DAGs) and automated pipelines to ensure production resilience.
- Establish strategies for model observability, tuning, and optimization to guarantee sustained post-deployment accuracy.
- Collaborate with product managers to diagnose problems and deliver effective AI-driven solutions.
- Mentor team members and remain abreast of advancements in generative AI and large language models (LLMs).
- Facilitate the integration of ML models into backend processes, ensuring low latency and high availability.
What Sets You Apart:
- Extensive experience in designing and deploying production-grade machine learning systems at scale.
- Proficient programming skills in Python, with substantial experience in libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
- Proven track record in natural language processing, semantic search, or recommendation engines.
- Demonstrated ability to lead cross-functional teams and shape technical roadmaps.
- In-depth knowledge of large-scale data processing technologies like Apache Beam, Spark, or Flink.
Preferred Qualifications:
- Experience in fine-tuning and deploying large language models in a production environment.
- Familiarity with vector databases and technologies such as Elasticsearch.
- Advanced degree in Computer Science, Statistics, or a related quantitative field.

