Machine Learning Dashboard Specialist

We are seeking a skilled and detail-oriented Machine Learning Dashboard Specialist to join our team. This role will primarily focus on collaborating with Machine Learning Development Engineers to create dashboards and key performance indicators (KPIs) for data monitoring analysts. The ideal candidate will have a strong background in data visualization, dashboard creation, database management, and user interface design. They will work closely with the database management team to understand underlying data structures and collaborate with MLOps Engineers and ML Engineers to ensure that dashboards reflect essential KPIs for model development and tracking

Want to join us?

Your Role

• Collaborate with Machine Learning Development Engineers to create dashboards and key performance indicators (KPIs) for data monitoring and analysis.

• Work closely with the database management team to understand the underlying data structures and ensure data availability and quality for dashboard creation.

• Liaise with MLOps Engineers and ML Engineers to understand the important KPIs required for model development, tracking, and performance monitoring.

• Create, maintain, and manage dashboards essential for model visualization, monitoring, and analysis.

• Ensure that dashboards are user-friendly, visually appealing, and provide actionable insights for data monitoring analysts and other stakeholders.

• Develop and implement best practices for dashboard design, data visualization, user interface design, and KPI tracking.

• Collaborate with cross-functional teams to gather requirements, prioritize tasks, and deliver high-quality dashboard solutions.

• Provide training and support to data monitoring analysts and other end-users on how to effectively use dashboards for data analysis and decision-making.

• Stay updated on industry trends and best practices in data visualization, dashboard creation, user interface design, and Machine Learning model tracking.

Your Background

Key ingredients for succeeding in this role are your:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.

• Proven experience in dashboard creation, data visualization, user interface design, and KPI tracking.

• Strong proficiency in dashboard creation tools and frameworks such as Kibana, Prometheus, xViz, Streamlit. Experience with ELK stack is a big plus

• Good to have experience with front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular for user interface creation . Experience with database management (SQL/NoSQL queries), with the ability to understand and navigate complex data structures.

• Detail-oriented with a focus on delivering high-quality, user-friendly dashboards and interfaces. Ability to prioritize tasks, manage multiple projects simultaneously, and meet tight deadlines.

• Familiarity with Machine Learning concepts and workflows is a plus.

Why join us?

• You can grow at Aptiv. Whether you are working towards a promotion, stepping into leadership, considering a lateral career move, or simply expanding your network – you can do it here. 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. Our team is our most valuable asset. 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;