Machine Learning Engineer Lead

Job description

**🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀** Muttdata 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](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 🤓 - 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](https://www.youtube.com/watch?v=dq1x2krHGb8&t=2s)** – an unforgettable getaway with the team! - **👶 Monthly Childcare Reimbursement** – Because supporting families matters too