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)

• 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

• 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

• Develop and deploy tools for:
  • Diagnostics data mining and automation
  • Fault pattern recognition
  • Enable self-service data analytics platforms for engineering users.

• 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

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

Along with competitive pay, as a full-time KPIT employee, you are eligible for the following benefits:

• Geo Blue PPO and HSA plan.
• Met Life – 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.

• AUTOMOTIVE
• PYTHON
• SQL
• SPARK
• DATABRICKS
• AZURE

• DATA SCIENCE
• AI
• ML