Machine Learning Engineer

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
• Astronomer
• Databricks

Our Values

• We are Data Nerds
• We are Open Team Players
• We Take Ownership
• We Have a Positive Mindset

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

• Remote-first culture – work from anywhere!
• In-Company English Lessons.
• Wellhub or sports club stipend to stay active
• AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
• 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!