YUGENOX·JOBS

Machine Learning Engineer Lead

Muttdata · Argentina

remoteData & AnalyticsOperations

About the role

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀

Muttdata 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, DBT, Google Cloud, Azure & 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! • 👶 Monthly Childcare Reimbursement – Because supporting families matters too

Text as published by Muttdata. We don't edit postings; apply and ask questions on the employer's site.

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Posted
Nov 2, 2023 (36 months ago)
First seen by us
Nov 7, 2026
Still listed
Nov 10, 2026
Source
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