Mutt Data
Machine Learning Engineer Senior
- Location
- Argentina
- Work type
- Remote
- Salary
- Not listed
- Posted
- (3 years ago)
Apply on Mutt Dataโs site (opens in a new tab)
You apply on the employerโs own site.
About the role
๐ Join Our Data Products and Machine Learning Development Remote Startup! ๐
ย
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
ย
Weโre looking for a Machine Learning Engineer to help take our expertise to the next level. If you consider yourself a data nerd like us, weโd love to connect! ๐ถ๐
๐ 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.
๐ Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
๐ Our Values
- ๐ We are Data Nerds
- ๐ค We are Open Team Players
- ๐ We Take Ownership
- ๐ We Have a Positive Mindset
ย
๐ Curious about what weโre up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects weโre working on! ๐
Responsibilities ๐ค
- 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 ๐
- 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.
- Databricks (Workflows, Jobs, Repos).
- Experience with MarTech.
ย
๐ Perks
- ๐ Remote-first culture โ work from anywhere!
- ๐ย In-Company English Lessons.
- ๐ช Wellhub or sports club stipend to stay active
- ๐ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- ๐ Food credits via Pedidos Ya โ because great work deserves great food.
- ๐ Birthday off + an extra vacation week (Mutt Week! ๐๏ธ)
- ๐ค Referral bonuses โ help us grow the team & get rewarded!
- โ๏ธ๐๏ธ Annual Mutters' Trip โ an unforgettable getaway with the team!
- ๐ถ Monthly Childcare Reimbursementย โ Because supporting families matters too