AI/ML Engineer

Experience: 2-10 yrs

Responsibilities 

• Serve as the first point of contact for enterprise clients, providing technical assistance with platform access, model functionality, data integrations, and API connectivity 
• Troubleshoot and resolve technical issues, ensuring timely and effective solutions to maintain high client satisfaction and loyalty 
• Analyze large datasets and collaborate with clients to identify and solve data-related challenges that optimize their platform usage 
• Partner with engineering, product, and other internal teams to escalate and resolve complex issues 
• Stay up-to-date with emerging technologies, particularly AI and machine learning, to continually expand your knowledge and offer more value to clients 
• Contribute to Ikigai’s internal documentation repository by identifying and adding new solutions and troubleshooting steps based on your experiences 
• Proactively identify potential issues before they escalate and develop strategies to improve the client experience continuously 

Qualifications 

• At least 2-10 years of experience in a technical support or client-facing role, preferably with enterprise clients 
• High school diploma required; Associate’s or Bachelor’s degree in a relevant field (e.g., Computer Science, Information Technology) preferred 
• Solid working knowledge of Python and data analytics, along with familiarity with cloud platforms such as AWS and Azure 
• Strong troubleshooting skills with the ability to resolve technical issues quickly and effectively 
• Excellent communication skills, both written and verbal. Ability to explain complex technical concepts to non-technical clients 
• Ability to learn new technologies quickly, especially in AI and machine learning. 
• Familiarity with helpdesk software or ticketing systems like Zendesk is a plus 

Preferred Skills 

• Knowledge of data transformation (e.g. using python pandas library) database management, data integration, or data visualization is a plus 
• Experience documenting issues, creating ticket details, and communicating resolutions back to clients within Service Level Agreement timeframes 
• Exposure to AI or machine learning concepts (hands-on experience not required)