Machine Learning Engineer Senior

About the role

🚀 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.