Machine Learning Engineer
Indexed 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 case studies and dive into our blog post 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 culture – 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!
Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/machine-learning-engineer-mutt-data
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