Machine Learning Engineer

A startup building innovative systems using Big Data and Machine Learning technologies for demand planning, budget forecasting, and AI solutions.
Machine Learning
Mid-Level Software Engineer
Remote
51 - 100 Employees
AI

Description For Machine Learning Engineer

Mutt Data, an innovative startup specializing in Big Data and Machine Learning solutions, is seeking a Machine Learning Engineer to join their remote-first team. The company focuses on building cutting-edge systems for demand planning, budget forecasting, and AI solutions, partnering with industry leaders like AWS, Google Cloud, and Databricks.

The role involves developing and optimizing machine learning models, implementing MLOps best practices, and building scalable data infrastructures. You'll work on exciting projects ranging from Generative AI for e-commerce to deep learning models for visual recognition and recommendation systems.

As an ML Engineer, you'll be responsible for the entire machine learning lifecycle, from exploratory data analysis to feature engineering and model deployment. The ideal candidate should have strong Python skills, experience with ML frameworks, and cloud platform knowledge.

The company offers an attractive benefits package including partial USD compensation, remote work flexibility, professional development through certified courses, and unique perks like annual team trips. Their culture emphasizes data-driven decision making, team collaboration, and continuous learning.

This position is perfect for someone passionate about machine learning, eager to work with modern technologies, and looking to make an impact in a growing startup environment. You'll have the opportunity to work on diverse projects while contributing to innovative solutions across various industries.

Last updated 20 days ago

Responsibilities For Machine Learning Engineer

  • 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

Requirements For Machine Learning Engineer

Python
  • 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)

Benefits For Machine Learning Engineer

Medical Insurance
Education Budget
  • 20% of salary in USD
  • Remote-first culture
  • Gympass or sports club stipend
  • AWS & Databricks certifications fully covered
  • Food credits via Pedidos Ya
  • Birthday off + extra vacation week (Mutt Week)
  • Referral bonuses
  • Annual Mutters' Trip

Interested in this job?

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