We are seeking a passionate and motivated Junior Machine Learning Engineer to join our team and gain hands-on experience in developing and deploying machine learning solutions. As a Machine Learning Engineer, you will work closely with experienced engineers and data scientists to build intelligent applications, analyze data, and develop models that solve real-world problems. You will have the opportunity to participate in all stages of the machine learning lifecycle, from data preparation and model development to evaluation, deployment, and monitoring.

Responsibilities:

• Assist in collecting, cleaning, and preparing datasets for machine learning projects.
• Develop, train, and evaluate machine learning models under the guidance of experienced team members.
• Apply machine learning techniques to classification, regression, clustering, and prediction problems.
• Assist in implementing data processing pipelines and feature engineering workflows.
• Collaborate with software engineers and data scientists to integrate machine learning models into applications.
• Evaluate model performance and help improve accuracy, reliability, and efficiency.
• Research emerging machine learning techniques, tools, and technologies.
• Document experiments, model results, and development processes.

Qualifications:

• Pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field.
• Strong understanding of fundamental machine learning concepts and algorithms.
• Programming experience in Python.
• Familiarity with machine learning libraries such as scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.
• Basic understanding of data preprocessing, feature engineering, statistical methods, and model evaluation techniques.
• Familiarity with SQL and data analysis techniques is a plus.
• Understanding of common machine learning evaluation metrics and model validation techniques is an advantage.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively as part of a team.
• Eagerness to learn new technologies and apply machine learning techniques to practical problems.