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Interested candidate please share your updated copy of resume at [email protected]
( To receive a quick response, kindly leave a message on the WhatsApp number +65 96310776 )
****Preference will be given to candidates with shorter notice periods ***
While sharing resume please share with following details.
1) Notice Period , 2) Current Salary, 3) Expected salary, 4) Visa Status
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Requirements
- Bachelor’s degree in computer science / computer engineering / data science or similar field, or equivalent experience / certifications
- At least 1 year working with deploying / productionising large-language models (LLMs). Fine-tuning / domain adaptation of LLMs is a plus
- Proficient in programming languages such as Python
- Experience in working with retrieval augmented generation (RAG) processes
- Experience in frameworks such as scikit-learn, pytorch, langchain or other machine-learning/agent frameworks
- Experience in working with Hugging Face, MLFlow or similar platforms
- Experience with Docker/containerization platforms
- Experience with shell scripting and Linux
- Ability to work independently, communicate effectively, and driven to learn
Roles & Responsibility
- Develop intelligent solutions using Agentic frameworks, LLMs and Model Context Protocol (MCP) to deliver fast and scalable services across the organisation
- Working closely with software / data science team to understand and solution requirements
- Deploying and productionising ML models/GenAI models on company infrastructure
- MLOps: Maintaining and upkeep of existing AI models on company infrastructure, including monitoring for data drifts and hallucinations
- Contributing and researching on AI frameworks and AI-safety evaluations of domain-trained models
- Stay up to date on AI developments and be able to introduce AI / GenAI solutions for existing processes as an AI subject matter expert.
- Knowledge of regulatory standards for AI, especially in context of financial services industry
- Occasional knowledge-transfer and internal workshops on AI-related topics
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Ashwani Goyal
EA Personnel Registration Number: R. No: R1114530
Singapore Employment Agency Licence No: 11C3373
Key Skills
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