Hr Principal engineer Jobs – 103 Open Jobs Today

AI ML Consultant - Automotive Applications
Maruti Suzuki India Ltd —Gurugram, Haryana
- Computer Science
- Master's degree
- Bachelor's degree
AM DM New Product Development project management & coordination
Maruti Suzuki India Ltd —Gurugram, Haryana
- Full-time
- English
- Microsoft Office
- Project management
Architect
Cubatic Design —Gurugram, Haryana
- ₹40,000 - ₹75,000 a month
- Full-time
- AutoCAD
- Microsoft Office
- Master's degree
Quick apply
10d
Site Engineer
Colonelz Constructions —Gurugram, Haryana
- ₹25,000 - ₹37,500 a month
- Full-time
- AutoCAD
- Bachelor's degree
- Plumbing
- Flexible schedule
Quick apply
Qualdev Architect
Aeris Communications Inc. —Gurugram, Haryana
- Full-time
- Hybrid work
- DevOps
- Java
- AWS
Quick apply
11d
Scada Ignition Engineer
Stryker —Gurugram, Haryana
- Full-time
- Computer Science
- Project management
- Bachelor's degree
- Health insurance
Principal Consultant – AI Engineering & Agentic Systems
StatusNeo Technology Consulting —Gurugram, Haryana
- DevOps
- AI
- Communication skills
Software Developer - AI
Kyndryl —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- DevOps
Service Engineer - Printing & Packaging
VINSAK INDIA —Gurugram, Haryana
- Customer service
- Electrical experience
- Travel
Quick apply
FDE AI/ Solutions Architect (AI, Python/Data)
Provectus —Haryana
- Full-time
- Remote
- Medicine
- Azure
- English
- Health insurance
- Paid sick time
Quick apply
9d
Manager - Cloud Technologies S 4D
Genpact India Pvt. Ltd. —Gurugram, Haryana
- Full-time
- Hybrid work
- Microsoft Access
- Azure
- Computer Science
Quick apply
4d

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AI ML Consultant - Automotive Applications

Maruti Suzuki India Ltd -
Gurugram, Haryana

Apply Now

Job details

Contractual / Temporary

Qualifications

TensorFlow
Computer Science
Software deployment
Master's degree
Bachelor's degree
Machine learning
Automotive engineering
Regression analysis
Data science
AI
Python

Full job description

Role Overview:
We are seeking an experienced AI/ML Consultant to collaborate with automotive engineering teams at MSIL (Computer aided engineering (CAE), design, testing etc) and develop Machine Learning models in key domains as per requirements. The ideal candidate will have strong expertise in AI/ML algorithms using time-series (sensor), audio or image data, data generated using CAE. Understanding automotive engineering concepts & CAE tools (Lsdyna, MSc Nastran etc), Finite element method (FEA) will be added advantage. Engagement is being considered for a period of 1 year (extendable to 1 year, based on requirements & outcomes)

Key Responsibilities

Work closely with Engineering teams to identify opportunities for applying ML techniques.
Develop, train, and validate ML models for predictive analytics in various domains.
Implement algorithms such as Principal Component Analysis (PCA), Linear Regression, Decision Trees (LGBM, XGBoost,etc), Ensemble Modeling, Neural Networks (GNN ,CNN PINN etc), Auto-encoders, LSTM.
Optimize models for accuracy, scalability, and integration with existing processes.
Implement algorithms like sklearn,pygad, etc) for design optimization using ML models.
Analyze large-scale simulation/sensor (time series), audio, image datasets and extract meaningful insights.
Document methodologies and provide technical guidance to engineering teams.
Suggest computational requirements including data generation model training (including GPUs)
Provide Hardware / Computational requirements (Training & Deployment) for bespoke Solutions aimed at providing Detection, Classification and Inferencing using Audio, Image or Video data.
Manage model deployment & continuously augment ML models with new data to improve accuracy and robustness.

Required Technical Expertise

Strong proficiency in Python & ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.).
Hands-on experience with Linear Regression, Decision Trees (LGBM, XGBoost), Ensemble Modeling, Neural Networks (CNN, GNN), ), Auto-encoders, LSTM
Knowledge of data preprocessing, feature engineering, and hyperparameter tuning, cross validations.
Experience with GPU computing, model deployment, and scalable ML pipelines.
Ability to create visualization tools & interface for ML model usage.

Preferred Skills

Familiarity with CAE tools terminology (Crash, NVH, Durability simulations) and experience in working with time-series data is a significant advantage.
Understanding computing requirements for data generation & training of different models, experience in suggesting requirements for GPU configurations.

Key Performance Indicators (KPIs)

Model Accuracy & Performance - Achieve target accuracy and robustness for predictive models.

Integration Efficiency - Successful integration of ML models into current workflows. Computational Optimization - Efficient use of GPU and HPC resources for training and deployment.

Data Augmentation - Timely updates and retraining of models with new simulation data.

Collaboration Impact - Skill up of MSIL engineers in data handling & ML model development and integration.

Project Timelines - Delivery of ML solutions within agreed timelines.

Qualifications

Any Bachelor’s/master’s degree (preferred in engineering, computer Science/Data Science.) with experience in AI/ML model development, deployment & continuous augmentation. Automotive or CAE domain exposure will be preferred.

Apply Now

Refine Your Search

principal engineer jobs in hr

AI ML Consultant - Automotive Applications

AM DM New Product Development project management & coordination

Architect

Site Engineer

Qualdev Architect

Scada Ignition Engineer

Principal Consultant – AI Engineering & Agentic Systems

Software Developer - AI

Service Engineer - Printing & Packaging

FDE AI/ Solutions Architect (AI, Python/Data)

Manager - Cloud Technologies S 4D

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