Description

You will build and deploy AI solutions covering NLP, Computer Vision, and deep learning.

Responsibilities

• Develop and deploy deep learning models for NLP and Computer Vision applications.
• Design architecture for model training, evaluation, and production deployment.
• Optimize models for performance and scalability.
• Collaborate with data engineers to prepare large, clean datasets for training.
• Integrate recent AI research findings into active projects.

Required Skills

• 5+ years of experience in AI/ML development.
• Strong programming proficiency in Python.
• Expertise in deep learning frameworks including TensorFlow, Keras, and PyTorch.
• Experience with LLMs and NLP libraries such as Hugging Face and spaCy.
• Hands-on experience with Computer Vision tools including OpenCV, YOLO, and Detectron2.
• Knowledge of MLOps practices using MLflow, Kubeflow, or SageMaker.
• Familiarity with model deployment using Docker and Kubernetes.
• Experience with cloud platforms such as AWS, GCP, or Azure.

Education

• Degree in any graduate field.

Key Skills

Education

Any Gradute