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Machine Learning Engineer Lead

2 weeks, 6 days ago
Argentina
Full-time
Lead
Machine Learning Engineer
Data Science and Analytics
Apache Airflow AWS Azure Databricks dbt Deep Learning Docker Feature Engineering GCP Generative AI Jupyter Keras Machine Learning MLflow MLOps NumPy Pandas Plotly Python PyTorch Scikit-learn SQL TensorFlow XGBoost
Apply Now
MUTT DATA

MUTT DATA

MUTT DATA specializes in creating and implementing custom machine learning and AI solutions that enhance business performance through automated systems and cost-efficient data architectures.

Internet Software & Services
51-250
Founded 2017
View All Jobs 15

Description

  • Lead and mentor the team, fostering skill development and best practices.
  • Guide the creation of SPECs and maintain clear documentation.
  • Serve as the main point of contact for stakeholders and align technical work with business goals.
  • Develop and optimize data and machine learning solutions with a focus on scalability and monitoring.
  • Oversee the full lifecycle of data pipelines and models, from EDA and feature engineering through deployment and continuous improvement.
  • Build proof of concepts to validate and refine solutions.
  • Optimize performance across data systems, including latency, memory, and throughput.
  • Design and maintain feature stores and data pipelines to support workflows.
  • Research and implement emerging technologies to improve solutions.
  • Participate in candidate interviews and evaluations.

Requirements

  • Experience leading and mentoring teams in data projects.
  • Proven ability to collaborate with stakeholders and translate business needs into technical solutions.
  • Experience implementing ML-based systems, including model lifecycle management, monitoring, and MLOps pipeline setup.
  • Strong proficiency in Python, including Pandas, NumPy, Jupyter, Scikit-Learn, XGBoost, and Plotly.
  • Knowledge of SQL.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Experience with ML workflows such as Airflow, MLflow, H2OAI, or Databricks is preferred.
  • Background in AdTech or Generative AI projects is preferred.
  • Understanding of deep learning frameworks such as Keras, PyTorch, or TensorFlow is preferred.
  • Solid English communication skills for technical documentation and discussions is preferred.
  • Basic knowledge of Docker is preferred.

Benefits

  • Remote-first culture with the ability to work from anywhere.
  • Fully covered certifications for AWS, DBT, Google Cloud, Azure, and Databricks.
  • In-company English lessons.
  • Birthday off plus an extra vacation week (Mutt Week).
  • Referral bonuses.
  • Monthly benefits credits through Maslow.
  • Annual team trip with the company.

Interested in this position?

Apply directly on the company website

Apply Now

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