Machine Learning Engineer Lead

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

The company 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