Product Machine Learning Engineer

Mutt Data; Argentina; A distancia; ARS 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

A remote-first data startup is seeking a Product Machine Learning Engineer to enhance their marketing optimization platform. You will design, deploy, and maintain ML models, collaborating closely with product teams. Responsibilities include building data pipelines, monitoring model performance, and implementing emerging ML techniques. Ideal candidates should have strong Python skills, experience with cloud platforms, and a solid understanding of machine learning fundamentals.

Servicios

Remote-first culture

In-Company English Lessons

Wellhub or sports club stipend

AWS & Databricks certifications covered

Food credits via Pedidos Ya

Birthday off + extra vacation week

Referral bonuses

Annual Mutters' Trip

Formación

• Solid understanding of machine learning fundamentals.
• Experience deploying ML-based systems to production.
• Strong Python skills for data manipulation and analysis.

Responsabilidades

• Design and maintain data pipelines and ML workflows.
• Develop and deploy machine learning models.
• Monitor model performance and update as necessary.

Conocimientos

Machine learning fundamentals

Feature engineering and model fine-tuning

Model tracking/versioning/monitoring

Cloud platforms (AWS)

Containerization (Docker)

Python skills (NumPy, SciPy, Pandas)

SQL proficiency

Descripción del empleo

Overview

Join Our Data Products and Machine Learning Development Remote Startup!

Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

We’re looking for aProduct Machine Learning Engineerto help take our expertise —and our internal optimization platform— to the next level. If you consider yourself a data nerd like us, we’d love to connect!

As a key contributor, you'll play a pivotal role in designing, deploying, and maintaining ML models that power our product formarketing campaign budget optimization and allocation. You’ll work closely with the product team and business stakeholders, bringing robust systems into production, introducing fresh technical insights, and ensuring our models deliver real business impact.

If you thrive on building scalable ML pipelines, solving complex challenges, and shaping products that drive decision-making at scale, we’re eager to connect with you!

Curious about what we’re up to? Check out our case studies and blog posts to learn more about our culture and the exciting projects we’re working on!

Responsibilities

• Design, build, and maintain robust data pipelines and ML workflows for training and inference.
• Develop, test, and deploy machine learning models into production environments.
• Model Development: research, train, evaluate, and tune ML Models ensuring scalability, robustness, and integration using MLOps best practices (model versioning, CI/CD, automated retraining) and applying Statistical Analysis techniques.
• Monitoring & Maintenance: Track model performance, detect drift, retrain, and update/optimize them.
• Create ML Proof of Concepts (POCs) to validate, enhance, and refine already implemented solutions.
• Research and implement emerging ML/AI techniques to enhance solutions.
• Work with data scientists, data engineers, and product managers to align ML solutions with business needs.
• Write clear documentation, enforce best practices in code, testing, and reproducibility.

Required Skills

• Solid understanding of machine learning fundamentals (supervised, unsupervised, evaluation metrics, overfitting, etc.).
• Experience with feature engineering and model fine-tuning.
• Model tracking/versioning/monitoring (MLflow, Airflow, Grafana or similar).
• Cloud platforms (AWS) and containerization (Docker).
• Experience deploying ML-based systems to production, including full model lifecycle management, monitoring, and MLOps pipeline setup.
• Strong Python skills (NumPy, SciPy, Pandas, Plotly, XGBoost, Statsmodels).
• SQL proficiency; familiarity with relational database management systems (Postgres).

Nice to Have Skills

• Experience using Bayesian modeling libraries (through PyMC/Bambi or similar).
• Experience in the Marketing Tech ecosystem (Google Ads/Meta Ads or similar)
• Experience working in the development and integration of machine learning solutions into a SaaS Product (software as a service).
• Detect model impact in the clients' business beyond lab metrics
• Work with product non-tech stakeholders to interpret how we can solve business problems with ML/AI
• Experience on Model Serving (REST APIs, FastAPI, Kubernetes).
• Experience building ETL/ELT pipelines.
• Research Exposure: Reading and adapting academic papers into production & Contributing to open-source ML projects.
• Experience building and maintaining automated data ingestion, training, and deployment pipelines

Perks

• Remote-first cultur e – work from anywhere!
• In-Company English Lessons.
• Wellhub or sports club stipend to stay active
• AWS & Databricks certifications fully covered (reward salary increase for AWS certifications!)
• Food credits via Pedidos Ya – because great work deserves great food.
• Birthday off + an extra vacation week (Mutt Week!)
• Referral bonuses – help us grow the team & get rewarded!
• Annual Mutters' Trip – an unforgettable getaway with the team!