Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
About the role
- Senior Machine Learning Engineer responsible for designing, building, and deploying ML solutions. Joining a global tech group tackling high-impact projects in Buenos Aires.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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