Artificial Intelligence 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.

• 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.

• 4 year bachelor’s 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.
• Proficiency in Python development.
• Experience working with AI technologies and cloud platforms (Google Cloud Platform, GCP).
• Excellent problem-solving and troubleshooting skills.
• Ability to work collaboratively with a diverse team of engineers, architects, and developers.

• Machine Learning certifications.
• Experience in a Healthcare Payer enterprise.
• Proficient in CRM platforms, such as Salesforce.
• Knowledge of data privacy regulations and practices.
• Experience in training team members on machine learning technologies and applications.
• Strong communication and project management skills.