Data and AI Lead

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 Anomaly detection in telemetry and ECU signals Apply advanced analytics on: 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: Enhance remote and OTA diagnostics capabilities Enable predictive diagnostics using advanced analytics/ML Translate product and engineering requirements into data-driven diagnostics solutions. Edge (in-vehicle) + Cloud (off-board analytics) Work with engineering teams to build: Ensure integration with: Vehicle telemetry platforms Tooling, Automation & Advanced Analytics Develop and deploy tools for: Diagnostics data mining and automation Fault pattern recognition 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. Essential Skills / Competencies

AUTOMOTIVE

PYTHON

SQL

SPARK

DATABRICKS

AZURE

Preferred Skills / Competencies

DATA SCIENCE

AI ML #J-18808-Ljbffr KPIT Technologies Ltd.