Junior AI Engineer - Hybrid, Mentorship & Growth

Placements24; Queenstown; Hybrid; NZD 60,000 - 80,000; Full time

Benefits offered by this job

Competitive starting salary and review

Comprehensive medical and retirement

Extensive training and mentorship

Hybrid work arrangement

Growth within AI team

Job summary

Placements24 is seeking a Junior AI Engineer to join their expanding AI and Emerging Technologies team in Queenstown. This entry-level role offers hands-on experience developing, implementing, and testing AI models under guidance from senior engineers.

You will work on data preprocessing, model training, and experimentation, with a hybrid work arrangement and mentoring to grow your skills in TensorFlow, PyTorch, and scikit-learn.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• Foundational knowledge of machine learning concepts and algorithms.
• Proficiency in Python and experience with common ML libraries (TensorFlow, PyTorch, scikit-learn).
• Basic understanding of data structures and algorithms.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities, comfortable in a hybrid setting.

Responsibilities

• Assist in the development and implementation of machine learning models and algorithms.
• Support data preprocessing, feature engineering, and model training tasks.
• Write and maintain clean, efficient code for AI applications.
• Conduct experiments and document results under the supervision of senior team members.
• Help in testing and debugging AI systems to ensure functionality and performance.
• Learn and apply new AI techniques and technologies.

Skills

Python proficiency

Analytical thinking

Teamwork & communication

Education

Bachelor's or Master's in CS/AI/DS

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Placements24 is seeking a Junior AI Engineer to join their expanding AI and Emerging Technologies team in Queenstown. This entry-level role offers hands-on experience developing, implementing, and testing AI models under guidance from senior engineers.

You will work on data preprocessing, model training, and experimentation, with a hybrid work arrangement and mentoring to grow your skills in TensorFlow, PyTorch, and scikit-learn.