<div><b>🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀</b></div><div><a href="https://himalayas.app/companies/mutt-data">Mutt Data</a> is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.</div><div>We’re looking for a <b>Machine Learning Engineer </b>to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀</div><h3>🚀 What We Do</h3><ul><li>Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.</li><li>Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.</li><li>Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.</li><li>Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.</li><li>Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.</li><li>Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.</li></ul><h3>🌟 Our Partnerships</h3><ul><li>Amazon Web Services</li><li>Astronomer</li><li>Databricks</li></ul><h3>🌟 Our Values</h3><ul><li>📊 We are Data Nerds</li><li>🤗 We are Open Team Players</li><li>🚀 We Take Ownership</li><li>🌟 We Have a Positive Mindset</li><div>🔍 Curious about what we’re up to? Check out <a rel="nofollow ugc noopener noreferrer" class="postings-link" href="https://blog.muttdata.ai/tag/Case%20Studies/1" target="_blank">our</a> case studies and dive into our<a rel="nofollow ugc noopener noreferrer" class="postings-link" href="https://blog.muttdata.ai/" target="_blank"> blog post</a> to learn more about our culture and the exciting projects we’re working on! 🚀</div></ul><h3>Responsibilities 🤓</h3><ul><li>Develop and optimize ML models, ensuring scalability, monitoring, and integration with MLOps best practices.</li><li>Implement client requirements, from exploratory data analysis (EDA) to feature engineering and model lifecycle management.</li><li>Build ML Proof of Concepts (POCs) to validate and refine solutions.</li><li>Optimize models for performance, latency, memory, and throughput.</li><li>Apply statistical analysis techniques and develop regression models.</li><li>Design and maintain feature stores and data pipelines for ML workflows.</li><li>Research and implement emerging ML/AI techniques to enhance solutions.</li><li>Collaborate with stakeholders to align technical solutions with business needs.</li></ul><h3>Required Skills</h3><ul><li>Experience implementing ML-based systems, including model lifecycle management, monitoring, and MLOps pipeline setup.</li><li>Strong proficiency in Python (Pandas, Numpy, Jupyter, Scikit-Learn, XGBoost, Plotly).Knowledge of