Mutt Data / Datos
Machine Learning Engineer Lead
nuevaDesde Argentina
- Argentina
- Remoto
- Lead
Requisitos
- python
- sql
- aws
- gcp
- azure
- machine learning
- growth marketing
- email marketing
- • inglés
Suma si tenés
- docker
- inteligencia artificial
La búsqueda
🚀 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
Los datos de requisitos los extrae Maru del aviso: ante cualquier duda, manda el aviso original.