Machine Learning Engineer

🚀 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! 🐶🚀 🚀 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](https://blog.muttdata.ai/tag/Case%20Studies/1) case studies and dive into our [blog post](https://blog.muttdata.ai/) to learn more about our culture and the exciting projects we’re working on! 🚀 Responsibilities 🤓 * 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. Required Skills * 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 Skills 😉 * 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. 🎁 Perks * **🌍 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](https://www.youtube.com/watch?v=dq1x2krHGb8&t=2s)** – an unforgettable getaway with the team!