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

Information Technology

51-250 (150)

Founded 2017

23 open positions

Links

View All Jobs

Machine Learning Engineer

4 months, 3 weeks ago

Argentina

Full-time

Mid Level

Software Development

Apache Airflow AWS Azure Databricks dbt Deep Learning Docker Feature Engineering GCP Jupyter Keras LLM Machine Learning MLflow MLOps NumPy Pandas Plotly Python PyTorch Scikit-learn SQL TensorFlow XGBoost

Apply Now

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 23

Description

Develop and optimize machine learning models with scalable, monitorable MLOps integration.
Implement client requirements from exploratory data analysis through feature engineering and model lifecycle management.
Build machine learning proof of concepts to validate and refine solutions.
Optimize models for performance, latency, memory, and throughput.
Apply statistical analysis techniques and develop regression models.
Design and maintain feature stores and data pipelines for machine learning workflows.
Research and implement emerging ML and AI techniques to improve solutions.
Collaborate with stakeholders to align technical solutions with business needs.

Requirements

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 workflow tools such as Airflow, MLflow, H2OAI, Databricks, or similar (nice to have).
Background in modern LLM technologies (nice to have).
Understanding of deep learning frameworks such as Keras, PyTorch, or TensorFlow (nice to have).
Basic knowledge of Docker (nice to have).

Benefits

Remote-first culture with the ability to work from anywhere.
In-company English lessons.
Wellhub or sports club stipend.
Fully covered certifications for AWS, DBT, Google Cloud, Azure, and Databricks.
Food credits via Pedidos Ya.
Birthday off plus an extra vacation week (Mutt Week).
Referral bonuses.
Annual Mutters' Trip with the team.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

AI/ML Engineer

Fieldwire 251-1K Construction & Engineering

Fieldwire, a Hilti construction technology company, is hiring a fully remote AI/ML Engineer in the United States to build and deploy machine learning systems that convert 360° jobsite captures into actionable insights for construction teams.

United States Full-time Mid Level Machine Learning Engineer

$152k-$220k

Agile Computer Vision Deep Learning Generative AI Machine Learning

16 hours, 49 minutes ago

Apply

16 hours, 49 minutes ago

AI Product Engineer

Kyivstar 1K-5K Wireless Telecommunication Services

Kyivstar.Tech is seeking an AI Product Engineer to turn business needs into AI-powered products by combining product ownership, full-stack development, and production delivery.

Anywhere Full-time Senior Full-stack Engineer Machine Learning Engineer

AWS Azure CI/CD Cybersecurity Docker GraphQL MLOps Node.js Python React REST API

1 day, 17 hours ago

Apply

1 day, 17 hours ago

Senior Machine Learning Engineer

Coderio 51-250 Internet Software & Services

Coderio is seeking a Senior Machine Learning Ops Engineer to architect, automate, and deploy scalable machine learning solutions while connecting data science with software engineering across international client initiatives.