Tap Growth ai
Machine Learning Engineer
Tap Growth aiSingapore9 hours ago
Full-timeOther
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.

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