Machine Learning Engineer

Nawatech; Klojen; On-site; IDR 60.000.000 - 80.000.000; Full time

Job summary

A technology firm in Indonesia, Jawa Timur is seeking a Data Scientist to design and improve ML models and chatbot applications using generative AI. The ideal candidate has 1-2 years of experience in Data Science, with strong skills in Python and machine learning libraries. Responsibilities include analyzing algorithms and collaborating with teams to solve complex business problems. This role offers opportunities to work in an innovative environment with cutting-edge technologies.

Qualifications

• 1-2 years of proven relevant work experience in Data Science.
• Hands-on experience with developing chatbot applications using generative AI/LLMs.
• Experience fine-tuning or integrating LLMs into production systems.

Responsibilities

• Design, develop, and maintain ML models and infrastructure.
• Analyze and rank machine learning algorithms for problem-solving.
• Communicate technical concerns to teammates and clients.

Skills

Data Science

Machine Learning (ML)

Python

Generative AI

Tools

MySQL

PostgreSQL

Hive

BigQuery

Pandas

NumPy

Scikit-learn

Transformers

Job description

What Will You Do

• Design, develop, test, deploy, maintain and improve ML models/infrastructure and software that uses these models.
• Analyze machine learning algorithms that could be used to solve a given problem and rank them based on their cost & benefit.
• Develop and maintain existing application (chatbot) using generative AI (LLM).
• Communicate technical concern to other parties, such as Teammates, Project Manager, Team from other division, client.
  
  

What Will You Need

• 1-2 years of proven relevant work experience in Data Science.
• Hands-on experience developing and deploying chatbot applications using generative AI / LLMs (e.g., GPT, Claude, LLaMA, etc.) — mandatory.
• Experience fine-tuning or integrating LLMs into production systems — mandatory.
• Industry experience in Artificial Intelligence, Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Deep Learning.
• Able to solve complex business problems and apply machine learning to optimize critical business metrics.
• Solid knowledge in root-cause analysis, statistical modeling, time-series forecasting, or predictive modeling techniques.
• Able to manage multiple projects with competing priorities effectively.
• Proficiency in using various database platforms such as MySQL, PostgreSQL, Hive, BigQuery, etc.
• Proficiency in Python and related data/ML libraries (e.g., Pandas, NumPy, Scikit-learn, Transformers).
• Good understanding of generative AI concepts and LLM architectures (e.g., encoder-decoder models, prompt engineering, retrieval-augmented generation).
• Familiar with REST API best practices and frameworks such as FastAPI, Flask, or Django.
• High sense of ownership and responsibility for tasks and projects.
• Experience with version control systems (e.g., Git) and CI/CD workflows is a plus.
• Experience working in a cloud environment such as GCP, Azure, or AWS is a plus point.