Machine Learning Engineer Senior

3 г. назад

ArgentinaLATAMSeniorRemote

machine learningbig data

Machine Learning Engineer role at startup focused on Big Data and Machine Learning.

🚀 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! 🐶🚀

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.

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.

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.
Amazon Web Services
Astronomer
Databricks
📊 We are Data Nerds
🤗 We are Open Team Players
🚀 We Take Ownership
🌟 We Have a Positive Mindset
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).