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
- 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.
Essential Qualifications
- 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.
Preferred Qualifications (Nice-to-Haves)
- 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.
Note: Looking for an Immediate joiners or short notice period candidates.