Machine Learning Engineer - NLP/Computer Vision

We are seeking a highly motivated ML Engineer & Developer with 4 - 5 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.Location : Noida, Ahmedabad, Mumbai, Pune.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).- 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 :- 4 - 5 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.- 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). (ref:hirist.tech)