AI/ML Technical Architect

Requirements:

• Bachelor's or Master’s degree in Computer Science, AI, Machine Learning, or a related field
• Strong knowledge of Python and experience with scripting in a Linux environment
• Proficiency with Python and libraries for machine learning such as scikit-learn, Pytorch and pandas
• Solid understanding of Natural Language Processing (NLP) and Generative AI techniques
• Superb analytical and problem-solving abilities
• Great communication and collaboration skills

Job Description:

We are seeking 4+ experienced Machine Learning Ops / Machine Learning Experts to lead the development and deployment of an AI-powered product.

• Need to set up CoE on AI/ML and work on the POC’s to provide demo to the new Clients
• Design, develop, and maintain scalable end-to-end machine learning pipelines
• Deploy models using Tensor Flow and AWS Sage maker
• Use OpenCV for various image processing tasks and implementing algorithms
• Incorporate NLP basics where required for tasks such as metadata tagging or chatbot development
• Utilize Generative AI techniques for tasks such as image generation, manipulation, or quality enhancement
• Develop and maintain Google Colab notebooks for model development and testing
• Keep up-to-date with the latest industry trends and technologies to ensure our AI systems are cutting-edge
• Consulting with managers to determine and refine machine-learning objectives
• Designing machine-learning systems and self-running artificial intelligence (AI) software to automate predictive models
• Transforming data science prototypes and applying appropriate ML algorithms and tools
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks
• Developing ML algorithms to analyze huge volumes of historical data to make predictions
• Running tests, performing statistical analysis, and interpreting test results