Data and AI Lead

Data and AI Lead KPIT Technologies GmbH - 3.7 Novi, MI Job Details Full-time 1 hour ago Benefits Health savings account Paid holidays Disability insurance Dental insurance Flexible spending account Employee assistance program Vision insurance 401(k) matching Employee discount Gym membership Qualifications AI models Computer science AI use case identification Systems integration Cloud analytics services Controller area network (CAN) bus Software engineering Time series models Databricks Azure Defect resolution root cause analysis Computer Science Data lake Predictive modeling analysis Automation Tooling Diagnostic trouble code (DTC) interpretation 5 years Software deployment Spark AI tools proficiency Predictive maintenance System design Classification (ML) Integration Architecture Design (Architecture design skills) Master's degree Digital transformation SQL Data Architecture Design (Architecture design skills) Collaboration with product development teams

Full Job Description Responsibilities:

Diagnostics Data Engineering & Architecture Diagnostics Strategy & Transformation Define and execute the Data science, machine Learning and AI-powered diagnostics roadmap for DTC/DID evolution Transition from rule-based diagnostics predictive and prescriptive diagnostics Drive data-centric architecture for vehicle health monitoring and diagnostics intelligence Collaborate with OEM stakeholders to embed AI into vehicle lifecycle (in-vehicle + cloud) Data Science & AI Leadership Lead development of ML/AI models for: Fault detection and classification Root cause analysis Remaining Useful Life (RUL) prediction Anomaly detection in telemetry and ECU signals Apply advanced analytics on: Time-series vehicle data CAN/LIN/Ethernet communication data Sensor fusion data streams Establish model lifecycle management (MLOps) for continuous learning and deployment Diagnostics Strategy & Engineering Enablement Support definition and continuous improvement of vehicle diagnostics strategy for ICE, Hybrid, and EV platforms. Collaborate with system and software teams to: Improve onboard diagnostics (OBD) logic Enhance remote and OTA diagnostics capabilities Enable predictive diagnostics using advanced analytics/ML Translate product and engineering requirements into data-driven diagnostics solutions. Platform & Architecture Define scalable data architectures for diagnostics: Edge (in-vehicle) + Cloud (off-board analytics) Work with engineering teams to build: Diagnostic data lakes Real-time streaming pipelines Ensure integration with: Vehicle telemetry platforms Digital twin ecosystems Tooling, Automation & Advanced Analytics Develop and deploy tools for: Diagnostics data mining and automation Fault pattern recognition Data-driven decision-making Leverage AI/ML techniques for predictive failure detection. Enable self-service data analytics platforms for engineering users.

Requirements:

Required Skills:

Bachelor's or master's degree in Computer Science / Data Engineering 5-10 years of experience in automotive, data engineering, or diagnostics domain.

Strong technical expertise in:

Python, SQL Data platforms (Spark, Databricks, or similar) Cloud ecosystems (Azure preferred ) Experience in handling large-scale automotive datasets. Strong analytical and problem-solving skills Ability to convert complex data into engineering insights Excellent stakeholder communication and collaboration Understanding of automotive system architecture Agile mindset with a focus on innovation and continuous improvement

Preferred Skills:

Hands-on experience with: Data Science and AI and ML Masters in data science,

AI and ML Compensation and Benefits:

Along with competitive pay, as a full-time KPIT employee, you are eligible for the following benefits: Geo Blue PPO and HSA plan. MetLife - Dental and Vision plan. Healthcare and Dependent care flexible spending account(FSA). 401k with employer match. Company-paid Basic Life and Long-term disability insurance. Voluntary benefits include Critical Illness, Hospital indemnity, accident insurance, theft, and legal service. Employee Assistance Program. Paid Holidays. Employee discounts and perks. Gym benefit.

AUTOMOTIVE,PYTHON,SQL,SPARK,DATABRICKS,AZURE DATA

SCIENCE,AI,ML