Software Engineer – Machine Learning

Your role

Algorithm Development & Implementation

• Develop machine learning models for predictive maintenance and quality applications
• Apply statistical, mathematical approaches or deep learning to time series analysis and forecasting
• Implement and optimize machine learning algorithms using Python and relevant frameworks
• Evaluate model performance and iterate on improvements
• Document methodologies, experiments, and results

Data Analysis & Processing

• Analyze historical data to identify patterns, trends, and insights
• Preprocess and clean data for machine learning applications
• Create effective feature engineering pipelines for time series data
• Validate data quality and handle missing or anomalous data
• Visualize data and results to communicate findings effectively

Web applications

• Develop software applications adhering to established design patterns and quality standards
• Implement server-side logic, APIs, and database interactions using .NET or Pytho
• Build responsive user interfaces using HTML, CSS, JavaScript, and frameworks like React or Blazor
• Work with both SQL and NoSQL databases, writing efficient queries and maintaining data integrity

Collaboration & Deployment

• Collaborate with Software, DevOps, MLOps, engineers to integrate models into production systems
• Participate in code reviews and knowledge sharing sessions
• Communicate technical concepts to non-technical stakeholder
• Contribute to team discussions and planning sessions

Learning & Development

• Stay current with latest developments in machine learning and deep learning
• Experiment with new techniques and frameworks under guidance
• Participate in internal training and skill development activities
• Document learnings and share knowledge with the team
• Gradually expand expertise across different ML domains, like Causal ML

Your Background

• Specific training in the field of Computer science, Mathematics, Technology, Engineering

• Advanced Knowledge in Mathematics and Time series.

• Good knowledge in Machine Learning Fundamentals, Scikit Learn, Keras, Pytorch, Python, Deep Learning, Database and Software Development.

• Good basic knowledge of Transformers and Git.

• Fluent in English.

• Strong problem-solving skills.

Why join us ?
 

• You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.

• You can have an impact. Safety is a core Aptiv value ; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.

• You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.
   

“Important Company Update – Please Read Before Applying. On January 22, 2025, Aptiv announced its decision to separate its EDS division to form two separate independent companies:https://www.automotiveworld.com/news-releases/aptiv-announces-intention-to-separate-its-electrical-distribution-systems-business/

This role is within the EDS segment, and you will be joining that segment as it becomes its own entity, with a rich heritage and proven track record as a global leader in low and high voltage power and signal distribution systems. Our solutions are central to enabling the next generation of electrified, automated, and connected vehicles, and we are committed to innovation, sustainability, and engineering excellence.

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Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.