Consultant (Technology Development & Machine Learning for Automotive Applications)

NITYO; Pune District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

NITYO in Pune is seeking a dynamic Consultant to support technology development in automotive applications, including machine learning, CAE, and vehicle engineering. The role covers conceptualization, virtual simulation, embedded systems integration, and technology validation.

You will collaborate with cross-functional teams, prepare test plans, and manage project milestones while driving innovation and proof-of-concept deployments across programs.

Qualifications

• Experience with CAE software and digital twins.
• Strong data analytics and ML model development.
• Experience in vehicle testing and validation.

Responsibilities

• Develop machine learning models for automotive applications.
• Lead virtual simulation and digital PoC development.
• Coordinate with cross-functional teams for validation.
• Prototype technology and manage project milestones.

Skills

CA/CAE tools

Machine Learning

Data analytics

Vehicle engineering

Education

Engineering degree (Automotive/Data Science)

Tools

MATLAB/Simulink

Python

Job description

Job Description - Consultant (Technology Development & Machine Learning for Automotive Applications)

Grade: L1.2.5 Work Schedule: 5 Days Working Domain: Automotive Technology Development / CAE / Machine Learning / Vehicle Engineering

Loc-Pune

Role Summary

We are looking for a dynamic Consultant to support advanced technology development programs in the automotive domain. The role involves technology conceptualization, virtual simulation, machine learning model development, vehicle testing, embedded systems integration, electrical/electronic architecture development, and technology validation activities.

Key Responsibilities

Technology Conceptualization

• Idea generation and innovation support – Literature review and technology benchmarking – Theoretical concept evaluation and feasibility assessment

Virtual Simulation & Digital Development

• Virtual vehicle simulation model development – Chassis and vehicle CAE model development & validation – Virtual data generation and analysis – Development of Digital Proof of Concept (PoC)

Machine Learning & Data Analytics

• Data collection, preprocessing, and analysis – ML algorithm exploration, development, and debugging – Evaluation and comparison of different ML models – ML model tuning and optimization for prediction accuracy – Integration of ML models with vehicle electronic architecture

Vehicle Testing & Validation

• Test plan preparation and optimization
• Coordination with testing agencies and stakeholders
• Joint testing execution and monitoring
• Test data processing and analysis
• Validation strategy definition and execution

Electrical & Electronic Architecture

• Specification and development of E/E architecture
• Hardware requirement definition for developed models
• RFI/RFQ preparation and supplier evaluation
• Coordination with suppliers and external agencies

Technology Demonstration & Project Management

• Prototype technology/vehicle preparation
• Issue resolution during validation activities
• Technology demonstration and deployment support
• Project progress review preparation
• Budget tracking and gateway milestone management

Required Skills & Expertise

Technical Skills

• Knowledge of 1D/3D simulation tools and data extraction techniques
• Experience with CAE software and Digital PoC development
• Strong data analytics and preprocessing capabilities
• Machine Learning algorithm development and debugging
• ML model deployment and integration with embedded systems
• Understanding of embedded systems architecture and validation methodologies
• Experience in vehicle testing and validation activities
• Knowledge of electronic architecture development
• Familiarity with sensor data acquisition and processing

Soft Skills

• Strong analytical and problem-solving skills
• Ability to work effectively in cross-functional teams
• Excellent communication and stakeholder management skills
• Self-driven and capable of working independently
• Passion for new technology development and innovation

Preferred Background

• Automotive Engineering / Mechanical Engineering / Electronics Engineering / Data Science
• Experience in Vehicle Dynamics, CAE, Machine Learning, Embedded Systems, or Digital Engineering projects
• Exposure to technology development programs and vehicle validation activities

Keywords for Sourcing

• Machine Learning, CAE, Vehicle Simulation, Digital Twin, Vehicle Dynamics, Chassis Engineering, Data Analytics, Embedded Systems, E/E Architecture, Model Development, MATLAB, Simulink, Python, Validation, Vehicle Testing, Digital PoC, ML Integration, Automotive Electronics, Prototype Development, Technology Validation.