Get alerts for new jobs matching your selected skills, preferred locations, and experience range. Manage Job Alerts
8.0 - 13.0 years
40 - 50 Lacs
Hyderabad, Bengaluru, Delhi / NCR
Hybrid
We are seeking a talented AI Engineer to join our cutting-edge team. In this role, you'll tackle complex challenges in large language models (LLMs), optical character recognition (OCR), and model scaling. You'll be at the forefront of developing and optimizing AI systems that push the boundaries of what's possible in machine learning. Key Responsibilities Lead research initiatives to improve OCR accuracy across diverse document types and languages Train and fine-tune LLMs using domain-specific data to enhance performance in specialized contexts Develop techniques to scale LLMs efficiently for high-volume production environments Design and implement novel approaches to model optimization and evaluation Collaborate with cross-functional teams to integrate AI solutions into production systems Stay current with the latest research and incorporate state-of-the-art techniques Document methodologies, experiments, and findings for both technical and non-technical audiences Required Qualifications Masters or PhD in Computer Science, Machine Learning, AI, or a related field Minimum 8+ yr of working experience in the relevant skills and technologies Strong understanding of deep learning architectures, particularly transformer-based models Experience with OCR systems and techniques for improving text recognition accuracy Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX) Demonstrated ability to implement and adapt research papers into working code Excellent problem-solving skills with a methodical approach to experimentation Strong communication skills to explain complex technical concepts clearly Preferred Qualifications Research focus during PhD in areas relevant to our work (NLP, computer vision, multimodal learning) Familiarity with distributed training systems for large-scale models Experience with model quantization, pruning, and other efficiency techniques Understanding of evaluation methodologies for assessing model performance Knowledge of MLOps practices and tools for model deployment Publications at top-tier ML conferences (NeurIPS, ICML, ACL, CVPR, etc.)
Posted 1 week ago
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Accenture
32455 Jobs | Dublin
Wipro
16590 Jobs | Bengaluru
EY
11025 Jobs | London
Accenture in India
10991 Jobs | Dublin 2
Amazon
8878 Jobs | Seattle,WA
Uplers
8715 Jobs | Ahmedabad
IBM
8204 Jobs | Armonk
Oracle
7750 Jobs | Redwood City
Capgemini
6181 Jobs | Paris,France
Muthoot FinCorp (MFL)
6170 Jobs | New Delhi