Junior Machine Learning Engineer

Job Overview

Advansys is looking for a Junior Machine Learning Engineer to join our dynamic team. This is an excellent opportunity for recent graduates or individuals with foundational experience in machine learning to advance their careers in a supportive and innovative environment. You will assist in the development, implementation, and monitoring of machine learning models and algorithms.

Key Responsibilities

• Assisting in the design and implementation of machine learning models under the guidance of senior engineers.


• Conducting data cleaning and preprocessing to prepare datasets for training models.


• Supporting the evaluation and fine-tuning of machine learning algorithms.


• Collaborating with cross-functional teams to understand project requirements and objectives.


• Documenting processes, model training, and outcomes clearly and comprehensively.


• Staying updated with industry trends and best practices in machine learning and AI.


• Participating in team meetings and contributing to brainstorming sessions.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.


• Basic understanding of machine learning concepts and algorithms.


• Familiarity with programming languages such as Python or R, and experience with ML libraries (e.g., scikit-learn, TensorFlow, or Keras).


• Experience with data manipulation and analysis tools such as Pandas and NumPy.


• Strong analytical and problem-solving skills.


• Good communication skills and the ability to work effectively in a team environment.


• Enthusiasm for learning new technologies and techniques in AI/ML.


• Internship or project experience in machine learning or data analysis is a plus.

Benefits

Hybrid working model
Social and medical insurance
Transportation