AI/ML Engineer
TP
TP is hiring a AI/ML Engineer in Gurugram, Haryana, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.
What the work involves
- Design, develop, train, evaluate, and deploy machine learning and deep learning models
- Own the ML lifecycle from data preparation and feature engineering through model development, evaluation, deployment, and monitoring
- Select appropriate algorithms and architectures based on business and technical
What they are looking for
- We are looking for a Machine Learning Engineer strongly aligned to model development, experimentation, training, evaluation, and productionization of AI/ML solutions
- The ideal candidate should have hands-on experience building ML and deep learning models and working across traditional/legacy models, modern AI models, and frontier/foundation models
- Strong Python and MLOps experience is required
- Develop models using Python, TensorFlow, PyTorch, scikit-learn, and related ML frameworks
- Work with traditional ML models as well as modern deep learning and foundation-model architectures
- Explore and integrate frontier models, foundation models, and emerging AI models into enterprise AI solutions
- Work with legacy/traditional AI/ML models where existing business solutions need to be enhanced, migrated, or integrated
- Perform experimentation, hyperparameter tuning, benchmarking, and performance optimization
Pay and dates
The listing does not state pay. The source page shows a relative posting age rather than an exact posting date; this role was first seen and checked as open on 4 November 2026. The source page showed it as posted “3 weeks ago” when captured; that is a relative stamp, not an exact date.
How to apply
Apply on the listing where the employer published this role: AI/ML Engineer at TP. We found this listing via linkedin.com; it was still open when we checked on 4 November 2026. If the posting has closed or the link fails, the role may have been filled.
This is our short summary of the employer's listing. The full description, eligibility and deadline are on the employer's page.