Machine Learning Engineer
Argentina
Operations /
Remote Full Time /
Remote
🚀 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 a Machine Learning Engineer to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀
🚀 What We Do
- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
🌟 Our Partnerships
- Amazon Web Services
- Google Cloud
- Astronomer
- Databricks
- Kaszek
- Product Minds
- H2O.ai
- Soda
Responsibilities 🤓
- Develop and optimize ML models, ensuring scalability, monitoring, and integration with MLOps best practices.
- Implement client requirements, from exploratory data analysis (EDA) to feature engineering and model lifecycle management.
- Build ML Proof of Concepts (POCs) 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 ML workflows.
- Research and implement emerging ML/AI techniques to enhance solutions.
- Collaborate with stakeholders to align technical solutions with business needs.
Required Skills
- Experience implementing ML-based systems, including model lifecycle management, monitoring, and MLOps pipeline setup.
- Strong proficiency in Python (Pandas, Numpy, Jupyter, Scikit-Learn, XGBoost, Plotly).Knowledge of SQL
- Experience with cloud platforms (AWS, GCP, Azure).
Nice to Have Skills 😉
- Experience with ML workflows (Airflow, MLflow, H2OAI, Databricks, or similar).
- Background in modern LLM technologies.
- Understanding of Deep Learning frameworks (Keras, PyTorch, TensorFlow).Basic knowledge of Docker.
🎁 Perks
- 💰 20% of your salary in USD
- 🌍 Remote-first culture – work from anywhere!
- 💪 Gympass 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!
