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
- Principal Machine Learning Engineer at Qodea responsible for leading ML model lifecycle and collaborating on AI solutions in Buenos Aires delivery center.
Responsibilities
- 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.
Requirements
- 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.
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
Tech skills
Location requirements
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