Senior AI Engineer

Talent Insider is an upcoming HR Consultancy Service, founded in 2021. Our clients have been some of the leading brands in Indonesia, and this service continues to expand.

Registered in Singapore & Indonesia, we can assist with your growth plans and strategies, and continue to expand our regional presence with strong regional partners to assist our client in recruitment and branding strategy.

• Solution Design And Architecture: Collaborate With Stakeholders To Understand Their Business Needs And Challenges. Design And Architect AI Solutions Leveraging Foundation Models And Large Language Models, Ensuring Scalability, Reliability, And Performance. Understand Various Language Implementation And Contribute To Forward Engineering.
• Technical Expertise: Demonstrate Deep Knowledge And Expertise In Foundation Models And Large Language Models, As Well As Related AI Technologies And Frameworks. Stay Updated On The Latest Advancements And Research In The Field And Identify Opportunities To Apply Them To Solution Design. Understand The Legacy Languages For Reverse Engineering And Modern Languages For Forward Engineering Automation.
• Requirements Analysis: Work Closely With Stakeholders To Analyze Their Requirements And Translate Them Into Technical Specifications. Identify Potential Challenges, Constraints, And Opportunities For Innovation. Provide Recommendations And Propose Effective Solutions.
• Proof Of Concept (POC) Development: Develop POCs To Validate And Showcase The Feasibility And Effectiveness Of The Proposed AI Solutions. Collaborate With Development Teams To Implement And Iterate On POCs, Ensuring Alignment With Requirements And Expectations.
• Data: Finding Available Datasets Internal And External Sources That Could Be Used For Modeling, Define The Data Validation Strategy, Verify The Data Quality And Ensure The Data Quality With Data Cleaning.
• Collaboration And Project Management: Collaborate With Cross-functional Teams, Including Software Engineers, And Project Managers, To Ensure Smooth Execution And Successful Delivery Of AI Solutions. Effectively Communicate Project Progress, Risks, And Dependencies To Stakeholders.
• Solution Implementation And Deployment: Contribute To The Implementation And Deployment Of AI Solutions, Working Closely With Development Teams To Ensure Adherence To Best Practices, Quality Standards, And Performance Requirements. Provide Technical Guidance And Support To The Team During The Implementation Phase.
• Solution Optimization And Performance: Continuously Monitor And Optimize The Performance Of AI Solutions, Including Foundation Models And Large Language Models. Identify Opportunities To Enhance Efficiency, Accuracy, And Speed Through Fine-tuning, Algorithmic Improvements, Or Infrastructure Optimization.
• Customer Engagement And Support: Act As A Technical Point Of Contact For Customers, Addressing Their Questions, Concerns, And Feedback. Provide Technical Support During The Solution Deployment Phase And Offer Guidance On AI-related Best Practices And Use Cases.
• Documentation And Knowledge Sharing: Document Solution Architectures, Design Decisions, Implementation Details, And Lessons Learned. Create Technical Documentation, White Papers, And Best Practice Guides. Contribute To Internal Knowledge Sharing Initiatives And Mentor Junior Team Members.
• Industry Trends And Innovation: Stay Up-to-date With The Latest Trends And Advancements In AI, Foundation Models, And Large Language Models. Evaluate Emerging Technologies, Tools, And Frameworks To Assess Their Potential Impact On Solution Design And Implementation.
• Required Technical And Professional Expertise
• Education: Bachelors Or Masters In Computer Science, Artificial Intelligence, Or A Related Field.
• Experience: Proven Experience In Designing And Delivering AI Solutions, With A Focus On Foundation Models, Large Language Models, Or Similar Technologies. Experience In Natural Language Processing (NLP) And Text Analytics Is Highly Desirable. Experience In Reverse Engineering Or Various Legacy Technologies Implementation. Experience In Automation Of Forward Engineering In Modern Technology Stack.
• Technical Skills: Strong Programming Skills, With Proficiency In Python And Experience With AI Frameworks Such As TensorFlow, PyTorch, Or Hugging Face. Understanding The Usage Of Libraries Such As SciKit Learn, Pandas, Matplotlib, Etc. Familiarity With Cloud Platforms (e.g., AWS, Azure, GCP) And Related Services Is A Plus. Proficiency In Languages Like Java, C#, Cobal Will Be An Added Advantage.

• Bachelors or Masters with 7-10 years of industry experience (4yrs of AI experience is must).
• Experience in full AI project lifecycle, from research and prototyping to deployment in production environments.
• Experience in reverse and/or forward engineering
• Familiarity with Agile development methodologies
• Commitment to continuous learning and staying updated with advancements in the field of AI.