Job description
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 include: 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.
Hybrid working model Social and medical insurance Transportation 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.
This job post has been translated by AI and may contain minor differences or errors.
