Junior Machine Learning Engineer

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.

Requirements

• 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

What We Offer:

* Hands-on experience working on real-world AI/ML projects.

* Mentorship and guidance from experienced AI/ML professionals.

* Opportunity to learn and apply cutting-edge technologies.

* Collaborative and supportive work environment.

* Competitive internship compensation.

This internship will be from 1 to 3 Months