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

About the Role

Our client is a pioneering automotive technology company seeking a talented Remote Automotive AI/ML Engineer specializing in predictive maintenance to join their innovative team. This is a fully remote position, offering the flexibility to work from anywhere while contributing to the development of advanced automotive solutions. You will be responsible for designing, developing, and deploying machine learning models that predict potential vehicle component failures and optimize maintenance schedules. This role requires a strong foundation in machine learning algorithms, data science, Python programming, and a keen understanding of automotive systems and data. You will work with large datasets from vehicle sensors, performance logs, and maintenance records to build robust predictive models. This is a unique opportunity to leverage AI/ML to enhance vehicle reliability and reduce operational costs for automotive fleets, working remotely with a globally recognized leader.

Key Responsibilities

• Design, develop, and implement machine learning models for predictive maintenance of automotive components.
• Collect, clean, and preprocess large datasets from various automotive sources.
• Select and apply appropriate ML algorithms (e.g., regression, classification, time-series analysis, deep learning) for predictive modeling.
• Develop and train models, evaluate their performance, and iteratively improve their accuracy.
• Deploy ML models into production environments and monitor their ongoing performance.
• Collaborate with automotive engineers and data scientists to integrate ML solutions into vehicle systems and fleet management platforms.
• Stay abreast of the latest research and advancements in AI/ML, particularly in the domain of predictive maintenance and automotive applications.
• Communicate complex technical findings and recommendations clearly to technical and non-technical stakeholders.
• Contribute to the development of data pipelines and MLOps practices.

Requirements

• Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related quantitative field.
• Minimum of 5 years of hands-on experience in developing and deploying machine learning models.
• Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
• Strong understanding of statistical modeling, data analysis, and machine learning algorithms.
• Experience working with time-series data and anomaly detection techniques.
• Familiarity with automotive data sources (e.g., sensor data, OBD-II) and automotive systems is highly desirable.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools is a plus.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, suitable for a remote work environment.

Benefits

• This is a fully remote position offering excellent work-life balance and flexibility.
• Our client offers a highly competitive salary, comprehensive benefits package, and performance-based bonuses.
• You will have the opportunity to work on cutting-edge AI/ML applications in the automotive industry, contributing to the future of vehicle reliability and maintenance.
• Join a dynamic and innovative team that values intellectual curiosity and fosters professional growth, all while enjoying the benefits of remote work.