Machine Learning Engineer

About Crudcook

Digital Engineering and Enterprise Modernization

Role Overview – Machine Learning Engineer

Machine Learning and AI

This is a great opportunity to take your academic or internship experience to the next level and work on real-world applications in a fast-paced, impact-driven environment.

Key Responsibilities

• Assist in building and deploying

  machine learning models

  for real-world use cases.
• Work on

  data collection, preprocessing, and feature engineering

  pipelines.
• Contribute to the

  training, testing, and tuning

  of models using Python and ML frameworks.
• Collaborate with product, engineering, and data teams to translate business problems into ML solutions.
• Document work, learn from senior engineers, and contribute to knowledge sharing within the team.
• Stay updated with the latest research, trends, and tools in AI/ML.

Required Qualifications

• 0–1 year of experience

  through internships or academic projects in

  Machine Learning / Data Science

  .
• Proficiency in

  Python

  and hands-on familiarity with libraries like

  scikit-learn, pandas

  , and at least one of

  TensorFlow or PyTorch

  .
• Strong understanding of

  ML concepts

  such as supervised/unsupervised learning, model evaluation, and overfitting.
• Experience working with datasets (Kaggle, personal projects, internships, etc.).
• Bachelor’s or Master’s degree in

  Computer Science, Data Science, Engineering

  , or a related field.
• Good problem-solving skills, strong communication, and a learning mindset.

Why Join Us?

• Work on

  high-impact AI projects

  from day one.
• Mentorship from experienced AI engineers.
• Collaborative and fast-growing team focused on building world-class tech solutions.
• Be part of a

  mission-led company

  building global products with a local heart.