Principal Machine Learning Engineer - Argentina

We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.

You will join an exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.

Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.

We look for people who embody

Innovation to solve the hardest problems.

‍Accountability for every result.

‍Integrity always.

Role overview

We are looking for a visionary engineer to lead the machine learning engineering function. You will be responsible for the end-to-end lifecycle of models that power core product features, from selection and prototyping to large-scale production deployment. This role requires a blend of deep mathematical understanding and elite engineering skills to solve complex business problems through intelligent systems.

As a Principal Machine Learning Engineer at Qodea, you’ll

• Lead the algorithm selection, design, and prototyping of ML models for recommendation and predictive analytics.
• Architect robust ML lifecycles, using DAGs and automated pipelines to ensure robustness in production.
• Define strategies for model observability, tuning, and optimisation to ensure sustained accuracy post-deployment.
• Collaborate with product managers to define problems and deliver effective AI-driven solutions.
• Mentor team members and stay current with advancements in generative AI and LLM-based agents.
• Guide the integration of ML models into backend flows, ensuring low latency and high availability.

Things that will make you stand out

• Extensive experience designing and deploying production-grade machine learning systems at scale.
• Expert-level programming skills in Python with deep experience in Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Proven experience in areas such as natural language processing, semantic search, or recommendation engines.
• Demonstrated ability to lead cross-functional teams and influence technical roadmaps.
• Deep knowledge of large-scale data processing technologies like Apache Beam, Spark, or Flink.

Nice to have

• Experience fine-tuning and deploying LLMs in production.
• Familiarity with vector databases and search technologies like Elasticsearch.
• Advanced degree in Computer Science, Statistics, or a related quantitative field.

What we want from you

We are building a world-class delivery centre in Buenos Aires and want the best engineering talent in the region. We believe the best work happens when we collaborate in person. We expect a genuine effort to be present in the office one to two days a week when not on project work to help build our culture and engage in spontaneous problem-solving. Your energy and presence will be vital in making our studio a hub of creativity and innovation.

Benefits

We believe in supporting our team members both professionally and personally. Here's how we invest in you

10 days PTO + 17 days paid public holidays

Pension

Law 19032 (Social Security)

Family allowance

National Employment Fund

Accident Insurance

Life Insurance

Work from Home Allowance

Private Medical Insurance

• Birthday leave
• 10 paid learning days per year
• Bonusly 100 points per month to recognise colleagues
• Visit website
• We are a global technology group, headquartered in London.
• We deploy experts and frontier technology, like AI, to help organisations thrive through change.
• We have over 600 professionals (>75% hands-on technical talent) spread across Europe, North America and Asia, and are backed by Marlin Equity Partners.
• High stakes work for high calibre people.
• Our customers call us when deadlines seem impossible.
• When others have already tried and failed.
• When it absolutely has to work.
• This is work that leaves a mark.
• Work you'll want to tell your friends about.
• Work that matters.
• We often solve problems that don't have answers yet.
• And we're looking for people who want to do the same.