Machine Learning Engineer Senior - Databricks

🚀 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 to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀

• 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.
• Amazon Web Services

• Astronomer

• Databricks
• 📊 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! 🚀

• 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.
• 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).
• Experience with ML workflows (Airflow, MLflow, H2OAI, Databricks, or similar).

• Background in modern LLM technologies.

• Understanding of Deep Learning frameworks (Keras, PyTorch, TensorFlow).Basic knowledge of Docker.
• 🌍 Remote-first cultur e – work from anywhere!

• 🚀  In-Company English Lessons.

• 💪 Wellhub or sports club stipend to stay active

• 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered

• 🍕 Food credits via Pedidos Ya – because great work deserves great food.

• 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)

• 🤝 Referral bonuses – help us grow the team & get rewarded!

• ✈️ 🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!

• 👶 Monthly Childcare Reimbursement  – Because supporting families matters too