Location
Bangalore | India
Job description
MLOps Product Owner:
Help shape the future of mobility.
Imagine a world with zero vehicle accidents, zero vehicle emissions, and wireless vehicle connectivity all around us. Every day, we move closer to making that world a reality. Aptiv's passionate team of engineers and developers creates advanced safety systems, high-performance electrification solutions and data connectivity solutions so that automakers can bring advanced capabilities to more people around the globe. This is how we enable sustainable mobility and help to prevent accidents caused by human error.
Your Role: Product Ownership: - Define and own the MLOps product roadmap for Radar, Vehicle Sensing, Exterior Vision, Generative AI Applications, AI for ADAS, Mapping, and Localization.
- Collaborate with key stakeholders to align MLOps features with business goals and objectives.
Requirements Gathering: - Work closely with data scientists, engineers, ADAS experts, and mapping specialists to gather and define requirements for MLOps features, ensuring alignment with Radar and Vehicle Sensing applications, as well as AI for mapping and localization.
Roadmap Development: - Develop and maintain a comprehensive and prioritized product roadmap, considering the unique needs of Radar, Vehicle Sensing, Exterior Vision, Generative AI Applications, AI for ADAS, Mapping, and Localization.
Cross-Functional Collaboration: - Collaborate with cross-functional teams, including data scientists, ADAS engineers, mapping specialists, DevOps specialists, and business stakeholders, to ensure seamless integration of MLOps solutions into Radar and Vehicle Sensing applications, as well as AI for mapping and localization.
Release Planning: - Collaborate with development and operations teams to plan and execute releases, ensuring that MLOps features are delivered on time and meet quality standards.
Quality Assurance: - Work closely with quality assurance teams to define test cases and ensure that MLOps features meet high-quality standards for Radar, Vehicle Sensing, AI for ADAS, Mapping, and Localization applications.
Risk Management: - Identify and manage risks associated with MLOps feature development, implementing mitigation strategies to ensure successful delivery.
Your Background
- Bachelor's or Master's degree in a relevant field (Computer Science, Data Science, Engineering, etc.).
- Proven experience as a Product Owner or similar role in the development of MLOps or data-centric products.
- Strong understanding of machine learning concepts, Radar, Vehicle Sensing, Exterior Vision, Generative AI, AI for ADAS, Mapping, and Localization.
- Excellent communication and collaboration skills.
- Agile and Scrum methodology experience.
- Familiarity with relevant technologies and tools, such as Git, Jenkins, Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).
Analytical mindset with the ability to make data-driven decisions.
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.
Your Benefits at Aptiv:
- Hybrid and flexible working hours;
- Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development);
- Life and accident insurance;
- Sodexo cards for food and beverages
- Well Being Program that includes regular workshops and networking events;
- EAP Employee Assistance;
- Access to fitness clubs (T&C apply);
- Creche facility for working parents;
Apply today, and together let's change tomorrow!
Privacy Notice - Active Candidates:
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.
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