Description

You will lead the development and deployment of AI-powered products and establish a Center of Excellence for AI/ML.

Responsibilities

• Design, develop, and maintain scalable end-to-end machine learning pipelines.
• Deploy models using TensorFlow and AWS SageMaker.
• Build and maintain Google Colab notebooks for model development and testing.
• Develop ML algorithms to analyze large historical datasets for predictive modeling.
• Transform data science prototypes into production systems using appropriate ML algorithms.
• Consult with managers to define and refine machine learning objectives.
• Solve complex problems involving multi-layered datasets and optimize existing ML libraries.

Required Skills

• 5+ years of experience in Machine Learning Ops or Machine Learning expertise.
• Proficiency in Python and scripting within a Linux environment.
• Hands-on experience with PyTorch and Pandas.
• Experience with scikit-learn and TensorFlow.
• Strong understanding of Natural Language Processing (NLP) and Generative AI techniques.
• Experience using OpenCV for image processing and algorithm implementation.
• Ability to use Generative AI for image generation, manipulation, or quality enhancement.
• Bachelor's or Master’s degree in Computer Science, AI, Machine Learning, or a related field.

Key Skills

Education

Bachelor's or Master’s degree in Computer Science, AI, Machine Learning