We are seeking a highly motivated AI/ML Engineer & Developer with 45 years of experience in core machine learning and deep learning. The ideal candidate will have strong expertise in statistical analysis, NLP, and Computer Vision, along with hands-on experience in transformer-based models and OCR systems. This role also involves contributing to R&D initiatives and mentoring junior team members while staying up to date with the latest advancements in AI.
Open Locations: Ahmedabad, Pune and Vadodara
Key Responsibilities:
- Design, develop, and deploy machine learning and deep learning models for real-world applications
- Perform statistical analysis and data exploration to derive meaningful insights (Time series analysis & Forecasting, predictive analysis)
- Build and optimize NLP and Computer Vision pipelines for various use cases
- Fine-tune transformer-based models for tasks such as text classification, entity recognition, and vision tasks (BERT, LayoutLMv3, Vision Transformers,etc)
- Develop and enhance OCR systems, including model fine-tuning and post-processing pipelines (LayoutLMv3, PaddleOCR, DocTR, Surya)
- Build document AI systems (text + layout + image)
- Perform feature engineering and EDA
- Work on domain-specific keyword extraction systems
- Contribute to R&D in NLP, OCR, and multimodal AI
- Optimize models for accuracy, scalability, and performance
- Collaborate with cross-functional teams to integrate ML models into production systems
- Continuously evaluate and adopt new AI/ML techniques, tools, and frameworks
- Mentor and guide junior engineers, helping them understand core concepts and best practices
- Maintain documentation and ensure knowledge sharing within the team
Required Skills & Experience:
- 45 years of hands-on experience in AI/ML development
- Strong foundation in:
- ML, Deep Learning
- Statistics & Mathematics
- Expertise in:
- NLP + Computer Vision
- Hands-on with:
- Transformer models (e.g., BERT, Vision Transformers) and fine-tuning techniques
- OCR systems
- Experience with OCR technologies and model optimization
- Proficiency in Python and ML/DL frameworks such as TensorFlow /PyTorch
- Experience in building end-to-end ML pipelines and Strong algorithmic thinking
- Understanding of data preprocessing, feature engineering, and model evaluation techniques
- Strong problem-solving skills and ability to work on R&D-focused tasks
Nice to Have:
- Experience with Generative AI and deep learning architectures (LLMs, diffusion models, etc.)
- Model optimization (quantization, pruning)
- Familiarity with MLOps practices and model deployment workflows
- Experience with cloud platforms (Azure, AWS, or GCP)
- Knowledge of vector databases and embedding techniques
- Experience with annotation tools and dataset creation for OCR/NLP tasks
- Exposure to model optimization techniques (quantization, pruning, distillation)
