Machine Learning Engineer Lead
M
Mutt DataData Products and Machine Learning
Argentina, United States, Brazil, Colombia, Spain, UruguayLead
Salary not disclosed
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Job Details
- Languages
- English, Spanish
- Required Skills
- AWSDockerPythonETLGCPKerasKubernetesMachine LearningMLFlowPyTorchTensorflowCI/CDDevOps
Requirements
- Demonstrated leadership skills and experience in client interactions.
- Demonstrated work experience in roles such as Machine Learning Engineer, ML Architect or similar.
- In-depth understanding of AI/ML principles, including neural networks and various ML models.
- Familiarity with Modern Data Architectures and DevOps methodologies.
- Previous involvement with data processing ETL and ML workflows.
- Understanding of Deep Learning frameworks like Keras, PyTorch, Tensorflow.
- Strong grasp of Python and proficiency in at least one other strongly typed language.
- Knowledge of mathematical modeling and proficient statistical intuition.
- Experience in implementing Machine Learning-based systems and MLOps.
- Ability to develop strategic implementation plans.
- Intermediate level of English and advanced level of Spanish.
Responsibilities
- Effectively manage projects by engaging with customers to understand the scope of work.
- Lead teams, collaborating with Machine Learning and data engineers.
- Champion the productization of ML models following MLOps best practices.
- Collaborate with Machine Learning Engineers to develop meaningful ML Proof of Concepts (POCs).
- Oversee the lifecycle of Machine Learning models and optimize them as necessary.
- Translate business and mathematical/statistical requirements into software implementations.
- Explore emerging ML Engineering technologies and techniques.
- Participate in defining project roadmaps, timelines, and estimates.
- Document and disseminate industry-leading practices in AI/ML.
- Collaborate on hiring interview processes.
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