MLOps & Generative AI Engineer

SAGL CONSULTING PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading consulting firm is looking for an experienced MLOps & Generative AI Engineer to design, build, and deploy AI/ML solutions focused on LLMs and MLOps automation. You will collaborate on real-world projects, enhancing the capabilities of financial inquiry classification and sentiment analysis for global clients.

Qualifications

• 5+ years experience in ML and AI lifecycle.
• Strong skills in Python, MLOps, Transformers, and TensorFlow.
• Experience with AWS, Azure, and containerization tools required.

Responsibilities

• Develop and deploy RAG applications using LangChain and OpenAI APIs.
• Build scalable ML pipelines with CI/CD and automated retraining systems.
• Collaborate on turning business challenges into production-ready AI solutions.

Skills

Python Programming

Machine Learning & Deep Learning

MLOps

Generative AI

NLP

Data Analysis & Feature Engineering

Tools

AWS

Azure

MongoDB

MS SQL

Tableau

FastAPI

Docker

Jenkins

GitHub Actions

Job description

Job Description

We are seeking an experienced MLOps & Generative AI Engineer to design, build, and deploy cutting-edge AI/ML solutions with a strong focus on LLMs, MLOps automation, and cloud-based deployment. You will work on real-world projects such as financial inquiry classification, document summarization, and sentiment analysis for global clients.

Responsibilities

• Develop and deploy Retrieval-Augmented Generation (RAG) applications using LangChain and OpenAI APIs.
• Build scalable machine learning pipelines with CI/CD, MLFlow, and automated retraining systems.
• Create APIs and web apps using FastAPI/Flask and deploy to AWS or Azure using Docker/Jenkins/GitHub Actions.
• Perform data preprocessing, NLP modeling (e.g. BERT, LSTM), and time series forecasting (SARIMAX).
• Collaborate with stakeholders to turn business challenges into production-ready AI solutions.

Requirements

• Proven experience (5+ years) in ML and AI lifecycle.
• Strong hands-on skills in Python, LangChain, Transformers, TensorFlow, and Scikit-learn.
• Familiarity with AWS Bedrock, Azure OpenAI, and containerization tools.
• Solid knowledge of MLOps practices, including CI/CD, monitoring, and retraining.
• Experience working with NLP, classification, regression, and deep learning models.
• Working knowledge of MongoDB, MS SQL, Tableau, and FastAPI.
• Excellent problem-solving and communication skills.

Key Skills

• Python Programming
• Machine Learning & Deep Learning
• MLOps (MLflow, CI/CD, Docker, Jenkins)
• Generative AI (LLMs, LangChain, RAG)
• AWS & Azure (Sagemaker, Bedrock, OpenAI)
• NLP (BERT, LSTM, Transformers)
• FastAPI / Flask
• Data Analysis & Feature Engineering
• GitHub, Tableau, MongoDB, SQL

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