Remote Automotive AI/ML Engineer — Predictive Maintenance

Placements24; LegKraal Gate; Hybrid; ZAR 1,494,000 - 2,490,000; Full time

Benefits offered by this job

Fully remote

Competitive salary

Comprehensive benefits

Performance-based bonuses

Job summary

Placements24 is seeking a Remote Automotive AI/ML Engineer to design, develop, and deploy predictive maintenance models for vehicle components. You will work with large automotive datasets and collaborate with engineers to integrate ML into fleet systems.

The role requires a strong foundation in ML, Python, and automotive data, with experience deploying models in production. Fully remote, competitive salary, and benefits are offered.

Qualifications

• Masters or PhD in a quantitative field.
• At least 5 years building and deploying ML models.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with time-series data and anomaly detection.
• Familiarity with automotive data sources is a plus.

Responsibilities

• Design, develop, and implement ML models for predictive maintenance of automotive components.
• Collect, clean, and preprocess large datasets from automotive sources.
• Select and apply ML algorithms (regression, classification, time-series, deep learning).
• Develop, train, and evaluate models; monitor production performance.
• Collaborate with engineers and data scientists to integrate ML into vehicle systems and fleets.
• Contribute to data pipelines and MLOps practices.

Skills

Python programming

Time-series analysis

Anomaly detection

Statistical modeling

Communication

Education

Master's or Ph.D. in Computer Science / Data Science / AI

Tools

TensorFlow

PyTorch

Scikit-learn

Pandas

NumPy

AWS / Azure / GCP

Job description

Placements24 is seeking a Remote Automotive AI/ML Engineer to design, develop, and deploy predictive maintenance models for vehicle components. You will work with large automotive datasets and collaborate with engineers to integrate ML into fleet systems.

The role requires a strong foundation in ML, Python, and automotive data, with experience deploying models in production. Fully remote, competitive salary, and benefits are offered.