ML ENGINEER/Remote

Apetan Consulting; Deutschland; Remote; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

Apetan Consulting in Germany is seeking an ML Engineer to design, develop, deploy, and maintain machine learning models and solutions. The role involves working with data, developing ML algorithms, and collaborating with data scientists and software engineers to build scalable AI/ML applications.

The position focuses on production-ready pipelines, model evaluation, feature engineering, and staying up-to-date with emerging AI/ML techniques and tools.

Qualifikationen

• Candidate holds a Bachelor's or Master's degree in CS, engineering, math, statistics, or a related field.
• Strong Python programming skills and knowledge of ML algorithms.
• Experience with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.

Aufgaben

• Develop, train, and deploy ML models as part of end-to-end solutions.
• Prepare and analyze datasets for model development and evaluation.
• Improve model performance, scalability, and reliability in production.
• Collaborate with data scientists, software engineers, and product teams.
• Maintain ML pipelines and code quality with proper documentation.

Kenntnisse

Python

Data preprocessing

Feature engineering

Model evaluation

SQL

Ausbildung

Bachelor's/Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field

Tools

Scikit-learn

TensorFlow

PyTorch

Jobbeschreibung

ML Engineer

Location-Remote

Job Summary

We are looking for an ML Engineer to design, develop, deploy, and maintain machine learning models and solutions. The role involves working with data, developing ML algorithms, and collaborating with data scientists and software engineers to build scalable AI/ML applications.

Key Responsibilities

• Develop, train, and deploy machine learning models.
• Prepare, clean, and analyze datasets for model development.
• Implement machine learning algorithms for business and product use cases.
• Evaluate model performance and improve accuracy, scalability, and reliability.
• Develop reusable ML pipelines and integrate models into applications.
• Monitor model performance and troubleshoot production issues.
• Work with data scientists, software engineers, and product teams.
• Perform feature engineering and model optimization.
• Maintain ML code, documentation, and development processes.
• Stay updated with emerging AI/ML techniques and tools.

Required Skills

• Bachelor's/Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
• Strong programming skills in Python.
• Good knowledge of Machine Learning algorithms and statistics.
• Experience with frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Strong understanding of data preprocessing, feature engineering, and model evaluation.
• Experience with SQL and data manipulation.