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Role: Machine Learning Engineer (NLP/Generative AI)
Location: Singapore (WFO, 5 Days)
Company: Confidential
Payroll Company: IIT Matrix
Duration: 1-year initial contract with high potential for long-term extensions
Job Description
We are looking for a innovative and production-focused engineer who thrives in a collaborative environment and is passionate about turning groundbreaking prototypes into scalable, high-performing systems.
Key Responsibilities
Location: Singapore (WFO, 5 Days)
Company: Confidential
Payroll Company: IIT Matrix
Duration: 1-year initial contract with high potential for long-term extensions
Job Description
We are looking for a innovative and production-focused engineer who thrives in a collaborative environment and is passionate about turning groundbreaking prototypes into scalable, high-performing systems.
Key Responsibilities
- Algorithm Development & Prototyping: Collaborate with a specialized team of machine learning engineers to prototype, develop, and ship world-class algorithms that advance the state of the art in conversational AI.
- LM & Generative AI Exploration: Lead the exploration and application of Large Language Models (e.g., GPT) and Generative AI, venturing into novel areas to solve complex problems and enhance system capabilities.
- End-to-End Model Pipeline: Own the full lifecycle of model development—from ideation and data analysis to building, fine-tuning, and deploying models into production. Design and implement robust automation pipelines.
- Technical Execution: Make critical decisions on technology selection, balancing the use of out-of-the-box solutions against building custom models to optimally meet project goals.
- Cross-Functional Collaboration: Partner closely with software engineers to integrate ML models into production environments, ensuring high performance, scalability, and reliability.
- Data Analysis & Optimization: Perform ongoing data analysis to inform model development, fine-tune existing systems, and continuously optimize results.
- Knowledge Leadership: Maintain deep expertise in the latest advancements in AI/ML technology and contribute to the team's knowledge base.
- Communication: Clearly communicate complex technical concepts, analysis results, and project updates to business partners and executives.
- A minimum of 3 years of professional experience in Machine Learning, with a specialized focus on Natural Language Processing (NLP).
- Hands-on experience with core NLP tasks: Text classification, named entity recognition, and text embeddings. Proven experience with
- Large Language Models (LLMs): Practical understanding of how to integrate and fine-tune LLMs within conversational AI systems.
- Strong programming skills: High proficiency in Python for data science and ML development.
- API & Microservices Development: Experience with FastAPI or similar frameworks for building and deploying model endpoints.
- Cloud Platform Experience: Proven ability to deploy, manage, and monitor machine learning models on AWS, GCP, or similar cloud infrastructure.
- Experience with Machine Translation systems and their application in building multilingual chatbot experiences.
- Familiarity with advanced techniques like Retrieval-Augmented Generation (RAG) for improving the accuracy and relevance of chatbot responses.
- A track record of innovation, demonstrated through publications, patents, or significant contributions to open-source projects.
Key Skills
Ranked by relevance
machine learning
ai
data analysis
natural language processing
microservices
prototyping
prototypes
fastapi
python
cloud
aws
gcp
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- Posted
- Oct 10, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Singapore
- Company
- Tap Growth ai
Industries
IT Services
IT Consulting
Categories
Other
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