Machine Learning Engineering

Technosoft SEA Pte Ltd; Indonesia; On-site; IDR 1,674,574,000 - 2,232,766,000; Full time

Job summary

Technosoft SEA Pte Ltd is seeking a Machine Learning Engineer to build scalable ML infrastructure for advanced automotive retail and mobility solutions. You will develop end-to-end ML models, including CNNs, RNNs and reinforcement learning, and optimize training with Azure Machine Learning and Azure OpenAI.

The role requires a strong Python background, knowledge of statistics, and collaboration with multidisciplinary teams to deploy reliable AI solutions at scale.

Qualifications

• Bachelor's degree in CS, EE, Math or related field.
• Strong background in ML: CNN/RNN/LSTM, reinforcement learning, end-to-end model training.
• Experience with Azure ML, OpenAI services or similar frameworks.

Responsibilities

• Contribute to state-of-the-art ML infrastructure and software.
• Implement deep learning models to accelerate training and inference at scale.
• Apply ML/AI advances to automotive retail and mobility solutions.
• Manipulate large-scale automotive transaction data for predictions and recommendations.
• Collaborate with R&D and Delivery teams across disciplines.

Skills

Python

Deep learning

Machine learning

CNN

RNN

LSTM

Reinforcement Learning

Azure Machine Learning

Azure OpenAI

Data management

Communication

Education

Bachelor's degree in Computer Science / Electrical Engineering / Math

Tools

Azure Machine Learning

Azure OpenAI

Job description

Machine Learning Engineering

We are seeking passionate candidates for a machine learning/ deep learning software engineering role who will join as a machine learning research engineer helping the team build intelligent automotive retail and mobility solutions.

Responsibilities:

• As a Machine Learning Engineer, you will contribute to state-of-the-art machine learning infrastructure and relevant software (e.g. supervised learning, reinforcement learning, data management, and evaluation at unparalleled scale).
• Implement cutting-edge deep learning models accelerating model training performance for intelligent automotive retail and mobility system applications.
• Apply the latest advances in deep learning and machine learning to personalizecar owners experience.
• Manipulate high-volume, high-dimensionality, structured data from automotive retail transactions to come up with predictions and recommendations that addresses the challenges of the automotive industry.
• Work in a multidisciplinary team and collaborate with other teams across our R&D and Delivery team.

Requirements:

• Bachelor's Degree in Computer Science/Electrical Engineering, Math, or related field.
• Minimum 5 strong years of software engineering practices and experiences in data science, machine learning, generative AI.
• Strong Machine Learning background with deep understanding of different types of machine learning algorithms (e.g., CNN, RNN, LSTM and Reinforcement Learning). Experience of training deep-learning models in an end-to-end fashion.
• Project experience working with Azure Machine Learning, Azure Open AI or other modern deep learning frameworks.
• Proficient in Python is a minimum. Additional knowledge of C++ / C# is a plus.
• Working knowledge of statistics (e.g., Monte Carlo, hypothesis testing, confidence intervals, maximum likelihood, bootstrap, Bayesian inference)
• Working knowledge in machine learning algorithms: logistic regression, random forest, gradient boosted trees, neural networks, k-means, and more!
• Excellent verbal and written communication skills

What's on Offer?

• Attractive salary and benefits
• Customer-focused culture
• Talented and collaborative co-workers who will support you and help you grow
• Personal development opportunities
• A great place to grow with career advancement

Job Location: Jakarta, Singapore