Entry level Machine Learning Engineer - Any Discipline

As an Entry-Level Machine Learning Engineer, you will be involved in designing, developing, and implementing machine learning models and solutions. You will work closely with senior engineers and data scientists to tackle real-world problems, improve existing systems, and contribute to new ML initiatives. This position is open to candidates from any discipline, and we welcome those who are passionate about technology and eager to learn.

Key Responsibilities:

• Assist in the development and implementation of machine learning models and algorithms.
• Collaborate with cross-functional teams to identify and address data-related challenges.
• Conduct data preprocessing, feature extraction, and exploratory data analysis.
• Support the evaluation and optimization of existing machine learning systems.
• Stay updated with the latest industry trends and advancements in machine learning.

Qualifications:

• Master/Bachelor degree in any discipline (e.g., Computer Science, Mathematics, Engineering, Physics, Mechanical, etc.).
• Basic understanding of machine learning concepts and algorithms.
• Knowledge of programming languages such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., TensorFlow, Scikit-learn) is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• A genuine interest in artificial intelligence and machine learning technologies.