Machine Learning Engineer
Core
Design, develop, and deploy machine learning and deep learning models for real-world applications, focusing on NLP, Computer Vision, and document AI systems.
Role type
Senior IC machine learning engineer (NLP, CV, Document AI)
Builds
Production ML models, NLP/CV pipelines, document AI systems, and R&D prototypes
Domain
Artificial Intelligence, Natural Language Processing, Computer Vision, Document Analysis
Deliverable
production ML models
Required skills
Transformer model fine-tuning, NLP pipeline development, Computer Vision pipeline development, statistical analysis, feature engineering, Python, TensorFlow, PyTorch, algorithmic thinking, model optimization
Preferred skills
Generative AI (LLMs, diffusion models), MLOps practices, cloud platforms (Azure, AWS, GCP), vector databases, annotation tools
Technologies
BERT, Vision Transformers, LayoutLMv3, TensorFlow, PyTorch, Azure, AWS, GCP
Responsibilities
Design and deploy ML/DL models for real-world applications, build and optimize NLP and Computer Vision pipelines, fine-tune transformer-based models, build document AI systems, perform feature engineering and EDA, contribute to R&D in NLP/OCR/multimodal AI, optimize models for accuracy and scalability, integrate ML models into production systems, mentor junior engineers
Seniority
Mid-Senior, hands-on IC with mentorship responsibilities
