Senior 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 seeking an experienced engineer to work at the intersection of applied machine learning, large-scale data, and user-facing products. You will design, build, and deploy innovative ML solutions that directly impact user experiences. You will own the full ML lifecycle and ensure that models are integrated seamlessly into our production environments.

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

• Apply expertise in statistical modelling and machine learning to perform deep data analysis and feature selection.
• Break down discrete steps of ML pipelines and improve their robustness in real-world applications.
• Develop and maintain data pipelines to process and prepare data for model training and evaluation.
• Design and conduct A/B tests to evaluate model performance and impact on business metrics.
• Implement and manage model observability to track accuracy, bias, and drift.
• Collaborate with data engineers to ensure high-quality data ingestion for intelligent systems.

Things that will make you stand out

• Strong foundational knowledge of various ML algorithms and the ability to select the right tool for the job.
• Hands-on experience with cloud-native ML services, preferably on GCP using Vertex AI.
• Proficiency in Python and its associated data science libraries.
• Experience with data storage technologies and their scaling characteristics.
• Excellent communication skills and a thrive-in-ambiguity mindset.

Nice to have

• Experience with graph databases such as Neo4j.
• Familiarity with API development using REST or GraphQL.
• Experience deploying ML solutions in e-commerce or financial services.

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.