MLOps Manager:
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.
Key Responsibilities:
Team Leadership:
- Lead and inspire a cross-functional team of data engineers, data scientists, and MLOps engineers.
- Foster a collaborative and innovative team culture, promoting continuous learning and development.
Want more jobs like this?
Get Data and Analytics jobs in Bangalore, India delivered to your inbox every week.
MLOps Pipeline Management:
- Design, implement, and optimize end-to-end MLOps pipelines to support AI development projects.
- Ensure seamless integration of data processing, model training, deployment, and monitoring within the MLOps pipeline.
Front-end Dashboard Development:
- Collaborate with UX/UI designers and front-end developers to create intuitive and effective dashboards for monitoring and visualizing AI model performance.
- Ensure dashboards provide actionable insights to support decision-making for both technical and non-technical stakeholders.
Technology Stack Management:
- Stay abreast of the latest technologies and tools in MLOps, data management, and front-end development.
- Evaluate and implement new technologies to enhance efficiency and effectiveness within the team.
Performance Monitoring and Optimization:
- Implement robust monitoring solutions for AI models and MLOps pipelines.
- Identify opportunities for optimization and implement improvements to enhance performance and scalability.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- #EXP[10-20]
- Proven experience in leading MLOps or data engineering teams.
- Strong understanding of AI model development, deployment, and monitoring.
- Proficiency in programming languages such as Python, and experience with MLOps tools (e.g., Kubeflow, MLflow).
- Expertise in data management, including data preprocessing, storage, and governance.
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!
#LI-NB1
Privacy Notice - Active Candidates: https://www.aptiv.com/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.