Description

You will design, develop, and deploy AI/ML solutions specializing in Computer Vision and Natural Language Processing.

Responsibilities

• Design and optimize deep learning models for image classification, object detection, and semantic segmentation.
• Build and fine-tune NLP models for text classification, sentiment analysis, and entity recognition.
• Preprocess, augment, and clean large multimodal datasets for vision and text pipelines.
• Deploy models into production environments and collaborate with engineering teams for system integration.
• Experiment with Transformers, Vision-Language models, and foundation models.

Required Skills

• Minimum 5 years of professional experience in machine learning with a focus on CV and NLP.
• Proficiency in Python and frameworks including TensorFlow, PyTorch, and Hugging Face.
• Hands-on expertise with OpenCV, Dlib, and text embeddings such as BERT and GPT.
• Strong knowledge of deep learning architectures including CNNs, RNNs, Transformers, and Vision Transformers (ViT).
• Experience with NLP libraries like spaCy, NLTK, or OpenAI APIs.
• Familiarity with cloud platforms including AWS, GCP, or Azure.
• Experience with MLOps tools for model deployment.
• Proficiency with Pandas, NumPy, and SQL.

Preferred Skills

• Experience in multimodal AI applications combining CV and NLP.
• Knowledge of OCR techniques and frameworks.

Key Skills

Education

Bachelor’s or Master’s degree