Machine Learning Engineer

Job description

**🚀 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. - Databricks (Workflows, Jobs, Repos). - Experience with MarTech. ### 🎁 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! - **👶 Monthly Childcare Reimbursement** – Because supporting families matters too