Machine Learning Engineer
Covalense Digital
Covalense Digital is hiring a Machine Learning Engineer in Bengaluru, India. The details below summarise the employer's own listing; applications happen on the original posting, not on GetFirstJob.
What the work involves
- This role focuses on the end-to-end design, development, and deployment of ML and GenAI models for customer-facing solutions and platform components
- involve transitioning ML models from prototype to production while optimising foundation models for domain-specific applications through fine-tuning and quantisation
- You must possess deep expertise in traditional ML algorithms, feature engineering, and advanced deep learning architectures, including Transformers and Attention mechanisms
- Proficiency in Python and frameworks like PyTorch, TensorFlow, and HuggingFace is essential, alongside a strong grasp of model optimisation tools like ONNX or TensorRT
- Additionally, the position requires a commitment to ethical AI principles and interpretability using SHAP or LIME, ensuring all solutions are scalable, high-performing, and rigorously validated through A/B testing
- Role: Blockchain Quality Assurance Engineer
- Industry Type: IT Services & Consulting
- Department: Engineering
- Software & QA
- Employment Type: Full Time, Permanent
What they are looking for
- Education UG: Any Graduate PG: Any Postgraduate
Pay and dates
The listed pay is Not Disclosed. 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: Machine Learning Engineer at Covalense Digital. We found this listing via naukri.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.