Machine Learning Engineer

4 weeks ago

Singapur, Singapore Tap Growth ai Full time

Location: Singapore (WFO, 5 Days) Company: Confidential Payroll Company: IIT Matrix Duration: 1-year initial contract with high potential for long-term extensions Job Title: Machine Learning Engineer (NLP/Generative AI) We are looking for an 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. 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. #J-18808-Ljbffr

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