Indonesia Job Openings

99 Group

Senior Machine Learning Engineer

Jakarta

FULL TIME

October 10, 2024

About Us
99 Group is a leading real estate technology company that operates real estate portals across South East Asia, specializing in digital property advertising. Headquartered in Singapore, it is currently operational in Singapore and Indonesia and employs over 500 employees. In Singapore, 99 Group operates 99.co (http://99.co/) and SRX.com.sg (http://srx.com.sg/), while in Indonesia, it operates 99.co/id (http://99.co/id) and Rumah123 (http://rumah123.com/). Our data science and ML team specializes in data science projects related to home price estimation, natural language processing, listings recommendation and image/object detection. We are passionate about leveraging cutting-edge machine learning and AI technologies to drive business insights and solve real-world problems. We are looking for a talented Senior Machine Learning Engineer to help us design, develop, and deploy scalable machine learning models and pipelines.
Join Us and Lead the Real Estate Revolution!
At 99 Group, we're on a mission to revolutionize the real estate industry by seamlessly integrating cutting-edge technology and innovation. If you're excited to be at the forefront of this transformation and are ready to tackle the industry's challenges head-on, we want you to be a part of our dynamic team. As a Machine Learning Engineer, you will be responsible for building and deploying machine learning models that solve complex problems in home price estimation, natural language processing, listings recommendation and image/object detection. You will collaborate closely with data science and engineering teams to ensure our models are not only accurate but also scalable and production-ready. Your work will directly impact our ability to make intelligent, data-driven decisions and provide real-time predictions to our users.
Your Role: Senior Machine Learning Engineer
What You'll Be Doing:

Design, develop, and deploy machine learning models for real-time prediction, classification, and object detection tasks.
Collaborate with data scientists to build, train, and optimize models using frameworks like Tensor Flow, Py Torch, or Scikit-learn.
Implement model serving pipelines for deployment in Kubernetes environments, using Docker and orchestration tools.
Develop and maintain scalable machine learning APIs to serve predictions and integrate them with client applications.
Automate data preprocessing, feature extraction, and model training pipelines using tools like Airflow, Kubeflow, or similar.
Monitor the performance of deployed models and implement updates to maintain accuracy and efficiency over time.
Work closely with Dev Ops to ensure smooth model integration into production environments.
Conduct code reviews, write unit tests, and maintain high code quality and documentation.
Stay updated with the latest research and advancements in machine learning and AI technologies.

What We're Looking For:

3+ years of experience in machine learning, model deployment, or a similar role.
Programming Languages: Proficiency in Python, with experience in libraries like Tensor Flow, Py Torch, and Scikit-learn.
Data Handling: Strong knowledge of data processing frameworks (Pandas, Numpy) and experience working with large-scale datasets, both structured and unstructured.
Model Deployment: Hands-on experience in deploying machine learning models in production using Docker and Kubernetes.
API Development: Experience in building and deploying RESTful APIs for machine learning models.
Cloud Platforms: Experience working with cloud platforms (AWS, GCP, or Azure) for model deployment and scaling.
Version Control & CI/CD: Familiarity with Git and continuous integration/continuous deployment (CI/CD) pipelines.
Bonus Experience with MLOps tools like Airflow, Argo, Kubeflow, or MLflow for workflow automation and monitoring.
Experience in image recognition and object detection using CNNs, YOLO, or similar architectures.
Familiarity with distributed systems and parallel processing (e.g., Spark, Dask).
Knowledge of big data technologies such as Hadoop or Apache Kafka.

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