Machine Learning Engineer

PT Nusantara Compnet Integrator; Jakarta Barat; On-site; IDR 300,000,000 - 420,000,000; Full time

Job summary

PT Nusantara Compnet Integrator is seeking an experienced Machine Learning Engineer in Jakarta Barat. You will design, train, and deploy ML models derived from research to production, owning end-to-end pipelines and collaborating with cross-functional teams.

The role requires a Bachelor’s degree and at least 2 years of ML experience, with strong Python and ML framework skills. English communication and independent, collaborative work style are essential.

Qualifications

• Bachelor's degree required in a related field.
• Minimum 2 years of experience as a Machine Learning Engineer.
• Proficient in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience deploying ML models and tuning hyperparameters.

Responsibilities

• Design, develop, and deploy ML models from research to production.
• Own the end-to-end ML pipeline: data processing, model development, testing, deployment, and optimization.
• Collaborate with ML Engineers, Data Scientists, and Software Engineers to build scalable AI solutions.

Skills

Python programming

English communication

independent work

team collaboration

Education

Bachelor's degree in Informatics / Computer Science / Physics / Mathematics

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Git

Linux

Job description

Design, develop, and deploy machine learning models from initial research to production.

Own the end-to-end ML pipeline, including data processing, model development, testing, deployment, and continuous optimization.

Work with libraries such as TensorFlow, PyTorch, and Scikit-learn to develop, train, and test models.

Work closely with team of Machine Learning Engineer, Data Scientist and Software Engineer to build powerful and scalable AI based Software.

Qualifications :

Bachelor's Degree (S1) in Informatics, Computer Science, Physics, Mathematics or equivalent

Having good communication in English

Ability to work independently as well as collaboratively within a team.

Having minimum of 2 years experience as Machine Learning Engineer

Hands-on experience in Python with frameworks such as TensorFlow, PyTorch, and Scikit-learn.

Familiarity with data preparation, regression, clustering, classification, and hyperparameter tuning.

Experience deploying Generative AI models with understanding of Retrieval-Augmented Generation (RAG), AI Agents, and expertise in prompt engineering techniques

Familiarity with cloud platforms is a plus

Comfortable with scripting, configuring, and using Linux utilities

Experienced in configuring and deploying virtual machines and containers (Docker, etc)

Proficient in using Git or similar tools for source code management.

Information Technology Services 101-1,000 employees

We are a big IT company, a subsidiary of Japanese systems integrator, looking for good talents who are willing to keep on learning and growing. We provide advanced IT solutions to big corporations and institutions by combining cutting edge products and technologies of several brands such as Cisco, HP, IBM, EMC2, VMware, Oracle, Alfresco, custom software, etc. Not only great products and services, we do have great people, provide employees opportunities for growth, build a culture of trust, and create a working environment that support their valuable employees and rewards excellence, honesty, mutual respect, and fairness

We are a big IT company, a subsidiary of Japanese systems integrator, looking for good talents who are willing to keep on learning and growing. We provide advanced IT solutions to big corporations and institutions by combining cutting edge products and technologies of several brands such as Cisco, HP, IBM, EMC2, VMware, Oracle, Alfresco, custom software, etc. Not only great products and services, we do have great people, provide employees opportunities for growth, build a culture of trust, and create a working environment that support their valuable employees and rewards excellence, honesty, mutual respect, and fairness