Back
Metro Bengaluru location plus mid-level specialized ML role draws moderate applicant competition.
Highly specialized deep learning and multimodal production experience limits cross-industry transferability.
Explicit 5-8 years requirement and mandatory deep learning, multimodal, and production deployment experience.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build and deploy cutting-edge generalized deep learning architectures to convert unstructured data into structured formats without hand-tuning features or models.
Continuously experiment and incorporate new advancements in deep learning, focusing on NLP, computer vision, and multimodal models for complex business problems.
Deliver production-grade deep learning systems that handle complex document types and support large-scale multi-modal understanding with best-in-class accuracy.
5-8 years of experience in Deep Learning.
Strong foundational knowledge of deep learning architectures including LLMs and VLMs.
Experience building and deploying production-grade deep learning systems at scale.
Familiarity with large language models such as GPT, LLaMA, Claude and strong software engineering practices (version control, CI/CD).
Proven expertise in specialized deep learning areas such as NLP, computer vision, or multimodal models, with a track record of delivering production-level solutions.
Experienced in rapid learning and application of latest deep learning technologies and architectural innovations.
Demonstrated ability to handle complex document processing tasks including hierarchical and multi-format data extraction in operational environments.