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