AIML Engineer
As a Machine Learning Engineer you will be responsible for creating machine learning models and retraining systems You will work closely with AI Architects Cloud Engineers and a CRM Development Team such as Salesforce Your role will involve working with GenAI models like Gemini GPT4 and others as well as traditional machine learning models from the NLP Deep Learning discipline A key part of your role will be evaluating models and maintaining ethical responsibilities
The ideal candidate for this role is a tech savvy professional with an in depth understanding of machine learning models and technologies They must be able to work collaboratively with a diverse team and have a solution oriented mindset They should also have a strong commitment to maintaining ethical standards in their work
Responsibilities
Collaborate with AI Architects Cloud Engineers and a CRM Development Team to design and implement machine learning models and systems
Work with GenAI models like Gemini GPT4 as well as traditional machine learning models from the NLP Deep Learning discipline
Retrain existing models and systems to ensure their accuracy and efficiency
Evaluate machine learning models and ensure they adhere to ethical standards
Stay current with the latest trends and technologies in machine learning and artificial intelligence
Provide technical support and guidance to the development team on machine learning related issues
Troubleshoot any issues related to the machine learning systems and conduct regular system tests to ensure their functionality and efficiency
Document all procedures and systems related to the machine learning infrastructure for future reference and audits
Required Skills
4 year bachelors degree in Computer Science Information Technology Computer Engineering from a recognized university or equivalent experience
Proven experience as a Machine Learning Engineer or similar role in the industry
Strong knowledge of GenAI models like Gemini GPT4 and traditional machine learning models from the NLP Deep Learning discipline