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Machine Learning Engineer

A startup focused on building innovative systems using Big Data and Machine Learning technologies.
Argentina
Machine Learning
Mid-Level Software Engineer
Remote
AI · Enterprise SaaS · E-Commerce

Description For Machine Learning Engineer

Mutt Data, a dynamic startup specializing in Big Data and Machine Learning technologies, is seeking a Machine Learning Engineer to join their remote team. The company focuses on building innovative systems for demand planning, budget forecasting, and various AI solutions including Generative AI for e-commerce platforms.

The role involves developing and optimizing machine learning models, implementing MLOps best practices, and building scalable data infrastructures. You'll work on everything from exploratory data analysis to feature engineering and model lifecycle management. The position requires strong expertise in Python, ML frameworks, and cloud platforms.

The company maintains strong partnerships with industry leaders like AWS, Google Cloud, Databricks, and H2O.ai. They value data-driven decision making, open teamwork, ownership, and maintaining a positive mindset. Their projects span across various domains including e-commerce, visual recognition, and recommendation systems.

What makes this role particularly attractive is the comprehensive benefits package, including a true remote-first culture, professional development opportunities with covered certifications, and unique perks like an annual team trip. The company emphasizes work-life balance with benefits like extra vacation time and flexible working conditions.

This is an excellent opportunity for a machine learning professional who wants to work on cutting-edge projects while being part of a dynamic, data-focused team. The role offers significant growth potential and the chance to work with modern technologies while solving real-world problems for various industries.

Last updated 23 days ago

Responsibilities For Machine Learning Engineer

  • 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

Requirements For Machine Learning Engineer

Python
  • 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)

Benefits For Machine Learning Engineer

  • Remote-first culture – work from anywhere
  • Gympass or sports club stipend
  • AWS & Databricks certifications fully covered
  • Food credits via Pedidos Ya
  • Birthday off + extra vacation week (Mutt Week)
  • Referral bonuses
  • Annual Mutters' Trip

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