Junior Machine Learning Engineer

What role you will play in team: You will be a key member of our growing machine learning team, contributing to the development and deployment of cutting-edge AI solutions. You'll work alongside experienced engineers, learning and growing your skills in a collaborative environment.

What you will do: You will be involved in the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. You will also contribute to the improvement of our existing machine learning models.

Key responsibility:

• Develop and implement machine learning algorithms
• Preprocess and clean large datasets
• Develop and maintain machine learning pipelines
• Evaluate and improve the performance of machine learning models
• Collaborate with other engineers to integrate machine learning models into our products
• Document your work and share your knowledge with the team

Required Qualification and Skills:

• Bachelor's degree in Computer Science, Engineering, or a related field
• Proficiency in Python and common machine learning libraries (scikit-learn, TensorFlow, PyTorch)
• Experience with data preprocessing and feature engineering
• Understanding of common machine learning algorithms (e.g., linear regression, logistic regression, decision trees, support vector machines, neural networks)
• Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure)

Benefits Included:

• Competitive salary and benefits package
• Opportunities for professional development
• A collaborative and supportive work environment
• Flexible work arrangements
• Paid time off and holidays

A Day in the Life: A typical day might involve working on data preprocessing, training a new machine learning model, evaluating model performance, or collaborating with other engineers on a project.