Remote Automotive AI/ML Engineer

Placements24; Durban; Hybrid; ZAR 900,000 - 1,600,000; Full time

Benefits offered by this job

Performance-based bonus

Home office allowance

Health insurance

Dental insurance

Vision insurance

Flexible hours

Learning & development

Remote collaboration tools

Job summary

Placements24's client, a global automotive technology leader, seeks a Remote Automotive AI/ML Engineer to develop and deploy AI models for autonomous driving, ADAS, and intelligent vehicle features. Work from your home office with a remote-first setup, reporting from Durban, KwaZulu-Natal, ZA.

You will design, train, and optimize ML systems, collaborate across software, data science, and automotive domains, and contribute to CI/CD pipelines and safety validation in a flexible, performance-driven

Qualifications

• Master's or Ph.D. in CS/AI/ML or related field.
• 5+ years of hands-on AI/ML development and deployment in automotive domain.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Keras, scikit-learn).
• Experience with Pandas/NumPy and big data technologies.
• Strong knowledge of CNNs, RNNs, Transformers and sensor fusion.

Responsibilities

• Develop, train, and deploy ML models for perception, prediction, planning, and control in autonomous driving systems.
• Design AI algorithms for ADAS features such as adaptive cruise control, lane keeping assist, and collision avoidance.
• Process, clean, and analyze large datasets of sensor data (LiDAR, camera, radar) for model training.
• Collaborate remotely with cross-functional teams, including software engineers, data scientists, and automotive domain experts.
• Research and evaluate state-of-the-art AI/ML techniques and tools relevant to the automotive industry.
• Optimize ML models for performance, efficiency, and real-time deployment on automotive hardware.
• Develop and maintain robust ML pipelines for CI/CD.
• Contribute to the ethical considerations and safety validation of AI systems in vehicles.
• Document research findings, model architectures, and implementation details thoroughly.

Skills

Python

TensorFlow

PyTorch

Keras

scikit-learn

Pandas

NumPy

CNNs

RNNs

Transformers

Sensor fusion

MLOps

Remote collaboration

Education

Master's degree in CS/AI/ML

PhD in CS/AI/ML

Tools

AWS

Azure

GCP

Job description

About the Role

Our client, a global innovator in automotive technology, is actively seeking a talented Remote Automotive AI/ML Engineer to join their pioneering team. This role is specifically designed for a remote-first individual, allowing you to contribute your expertise from the comfort of your home office. You will be at the forefront of developing and implementing artificial intelligence and machine learning models for autonomous driving systems, advanced driver-assistance systems (ADAS), and intelligent vehicle features. This position requires a deep understanding of AI/ML algorithms, data science principles, and their application within the automotive domain. We are looking for a self-motivated and results-oriented individual who thrives in a remote, collaborative setting, driving the future of mobility through intelligent solutions, all managed from Durban, KwaZulu-Natal, ZA.

Key Responsibilities

• Develop, train, and deploy machine learning models for perception, prediction, planning, and control in autonomous driving systems.
• Design and implement AI algorithms for ADAS features such as adaptive cruise control, lane keeping assist, and collision avoidance.
• Process, clean, and analyze large datasets of sensor data (LiDAR, camera, radar) for model training.
• Collaborate remotely with cross-functional teams, including software engineers, data scientists, and automotive domain experts.
• Research and evaluate state-of-the-art AI/ML techniques and tools relevant to the automotive industry.
• Optimize ML models for performance, efficiency, and real-time deployment on automotive hardware.
• Develop and maintain robust ML pipelines for continuous integration and continuous deployment (CI/CD).
• Contribute to the ethical considerations and safety validation of AI systems in vehicles.
• Document research findings, model architectures, and implementation details thoroughly.

Requirements

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of hands-on experience in developing and deploying AI/ML models, with a significant focus on automotive applications.
• Proficiency in Python and common ML frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn.
• Experience with data manipulation libraries (e.g., Pandas, NumPy) and big data technologies.
• Strong understanding of deep learning architectures (CNNs, RNNs, Transformers) and classical ML algorithms.
• Familiarity with sensor fusion techniques and their application in perception systems.
• Excellent analytical, problem-solving, and communication skills, adapted for remote collaboration.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles is a plus.
• Proven ability to work independently and manage time effectively in a remote environment.

Benefits

• Highly competitive salary with performance-based bonuses.
• Comprehensive remote work setup support and home office allowance.
• Generous health, dental, and vision insurance coverage.
• Opportunities to work on groundbreaking AI technologies in the automotive sector.
• Flexible working hours to accommodate different time zones within reason.
• Continuous learning and professional development support.
• Access to collaborative online tools and platforms.