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Machine Learning Engineer Lead

MUTT DATA

Key Facts

Remote From: 
Argentina
Full time
English

Other Skills

  • •
    Collaboration
  • •
    Communication
  • •
    Leadership
  • •
    Teamwork
  • •
    Curiosity
  • •
    Mentorship
  • •
    Problem Solving

Roles & Responsibilities

  • Experience leading and mentoring teams in Data projects, guiding technical decisions, and fostering team growth.
  • Proven ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams.
  • 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).

Requirements:

  • Lead and mentor the team, fostering skill development and best practices.
  • Guide the creation of SPECs and ensure clear documentation.
  • Act as the main point of contact for stakeholders, ensuring alignment between technical and business goals.
  • Develop and optimize data and ML solutions, integrating best practices for scalability and monitoring.

Job description

🚀 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 Lead 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

    • 🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

    Responsibilities 🤓
  • Lead and mentor the team, fostering skill development and best practices.
  • Guide the creation of SPECs and ensure clear documentation.
  • Act as the main point of contact for stakeholders, ensuring alignment between technical and business goals.
  • Develop and optimize data and ML solutions, integrating best practices for scalability and monitoring.
  • Oversee the full lifecycle of data pipelines and models—from EDA and feature engineering to deployment and continuous improvement.
  • Build Proof of Concepts (POCs) to validate and refine solutions.
  • Optimize performance, latency, memory, and throughput across data systems.
  • Design and maintain feature stores and data pipelines to support workflows.
  • Research and implement emerging technologies to enhance solutions.
  • Participate in candidate interviews and evaluations to help Mutt grow.

    • Required Skills 💻
  • Experience leading and mentoring teams in Data projects, guiding technical decisions, and fostering team growth.
  • Proven ability to collaborate with stakeholders, translate business needs into technical solutions, and align priorities across teams.
  • 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 ✨
  • Experience with ML workflows (Airflow, MLflow, H2OAI, Databricks).
  • Background in AdTech or Generative AI projects.
  • Understanding of Deep Learning frameworks (Keras, PyTorch, TensorFlow).
  • Solid command of English for understanding and communicating technical concepts (Design Documents, etc.).
  • Basic knowledge of Docker.

    • 🎁 Perks
  • Remote-first culture – work from anywhere! 🌍
  • AWS & Databricks certifications fully covered 🚀
  • In-Company English Lessons.
  • Birthday off + an extra vacation week (Mutt Week! 🏖️)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
    •
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