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Machine Learning Engineer

Mutt Data · company siteEstimate171w
Posted 39 months ago — may be filled

1 · Can you apply from ?

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2 · What reaches you

1Pay
2Platform fee− $0
3Payout fee · Wise− $0 – $6.11
≈ In your money
$3,829 / month

Wise fee page, checked 25 Sep 2026
Fixed fees assume one withdrawal a month.

3 · How you get paid

Unknown — ask the company

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First money
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4 · Your working hours

Not stated

The ad doesn’t say which hours. Ask the company.

5 · Trust

Company site · found 26 Sep 2026
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Experience not statedNo degreeSQLPythonAWSDocker and containersMachine learningData analysis

Full description

Shown as posted, in English

🚀 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. Databricks (Workflows, Jobs, Repos).   🎁 Perks 🌍 Remote-first cultur e – 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! 👶 Monthly Childcare Reimbursement  – Because supporting families matters too

Apply on the company site
Top pay
JobMutt Data · company siteEstimatePosted 171w ago

Machine Learning Engineer

Posted 39 months ago — may be filled

1 · Can you apply from ?

Not open

The ad doesn’t say — see the full posting.

4 · Your working hours

Not stated

The ad doesn’t say which hours. Ask the company.

5 · Trust

Company siteFound 26 Sep 2026
No one should ask you to pay to work.
Something wrong?Report this post

They ask for

Full description

Shown as posted, in English

🚀 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. Databricks (Workflows, Jobs, Repos).   🎁 Perks 🌍 Remote-first cultur e – 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! 👶 Monthly Childcare Reimbursement  – Because supporting families matters too