almost 3 years ago
Buenos Aires, ArgentinaStaff+
Responsibilities
- Lead and mentor the team while fostering technical growth and best practices.
- Guide the creation of specifications and maintain clear technical documentation.
- Serve as the primary stakeholder contact to align technical and business goals.
- Develop and optimize scalable data and machine learning solutions with monitoring and MLOps practices.
- Oversee data and model lifecycles from exploratory data analysis and feature engineering through deployment and continuous improvement.
- Build proofs of concept to validate and refine solutions.
- Optimize performance, latency, memory, and throughput across data systems.
- Design and maintain feature stores and data pipelines.
- Research and implement emerging technologies.
- Participate in candidate interviews and evaluations.
Requirements
- Experience leading and mentoring teams on data projects and guiding technical decisions.
- Ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams.
- Experience implementing ML-based systems, including model lifecycle management, monitoring, and MLOps pipeline setup.
- Strong proficiency in Python, Pandas, NumPy, Jupyter, Scikit-Learn, XGBoost, and Plotly.
- Knowledge of SQL.
- Experience with AWS, GCP, or Azure.
- Preferred experience with Airflow, MLflow, H2OAI, or Databricks.
- Preferred background in AdTech or Generative AI projects.
- Understanding of Keras, PyTorch, or TensorFlow.
- Solid command of English for technical communication and documentation.
- Basic knowledge of Docker.
Benefits
- Remote-first work-from-anywhere arrangement.
- AWS, dbt, Google Cloud, Azure, and Databricks certifications fully covered.
- In-company English lessons.
- Birthday off and an additional vacation week.
- Referral bonuses.
- Monthly Maslow credits for the benefits marketplace.
- Annual team trip.
- Monthly childcare reimbursement.
Tech Stack
Categories
Data EngineeringML Engineering
About Muttdata
Muttdata provides consulting and delivery of custom machine-learning and AI systems, data platforms, and big-data pipelines for digital-native startups and enterprises. The privately held company, founded in 2017 and headquartered in Buenos Aires, is an AWS Advanced Consulting Partner with the AWS Advertising and Marketing Technologies Competency. Notable customers include Mercado Libre, Coca-Cola FEMSA Mexico, ClassDojo, and PayClip.