AI Applications Engineer: Build Cutting-Edge AI Solutions

Lenovo; Petaling Jaya; On-site; MYR 60,000 - 90,000; Full time

Job summary

Lenovo invites applications for an AI/ML Engineer role in Malaysia. The position focuses on researching cutting-edge AI technologies, developing ML models, and collaborating with data scientists, engineers, and product teams to deliver practical AI solutions.

The role emphasizes data preprocessing, model deployment, and ongoing learning to keep pace with AI advances. Candidates should have a strong foundation in CS/AI and a passion for technology.

Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Strong academic performance with relevant coursework and projects.
• Proficiency in Python, Java, or C++.
• Knowledge of TensorFlow or PyTorch.
• Experience with data processing and analysis tools (NumPy, Pandas, SQL).
• Strong analytical and critical thinking skills.
• Excellent communication and teamwork abilities.
• Genuine interest in AI and staying updated with tech trends.

Responsibilities

• Research and Development: Conduct research on cutting-edge AI technologies and algorithms.
• Data Analysis and Processing: Analyze and preprocess large datasets; utilize data visualization tools.
• Collaboration and Communication: Work with cross-functional teams; communicate progress to stakeholders.
• Continuous Learning and Innovation: Stay updated with AI advancements; contribute new ideas.

Skills

Analytical thinking

Communication

Teamwork

Passion for AI

Education

Bachelor's degree in Computer Science

Bachelor's degree in Artificial Intelligence

Bachelor's degree in Data Science

Tools

TensorFlow

PyTorch

NumPy

Pandas

SQL

Job description

Lenovo invites applications for an AI/ML Engineer role in Malaysia. The position focuses on researching cutting-edge AI technologies, developing ML models, and collaborating with data scientists, engineers, and product teams to deliver practical AI solutions.

The role emphasizes data preprocessing, model deployment, and ongoing learning to keep pace with AI advances. Candidates should have a strong foundation in CS/AI and a passion for technology.