Machine Learning Engineer

Nawatech; Tangerang Selatan; On-site; IDR 10.000.000 - 15.000.000; Full time

Job summary

A technology company in Tangerang Selatan is seeking a Data Scientist to design and improve machine learning models and infrastructure. Candidates should have hands-on experience in developing chatbot applications using generative AI. The ideal applicant will possess excellent problem-solving skills, experience with ML models, proficiency in Python, and familiarity with various database platforms. This role offers a dynamic work environment with opportunities for professional growth.

Qualifications

• 1-2 years of proven experience in Data Science.
• Hands-on experience in developing chatbot applications with generative AI.
• Solid knowledge of statistical modeling and predictive techniques.

Responsibilities

• Design, develop, and maintain ML models and infrastructure.
• Analyze algorithms to solve problems based on their cost and benefits.
• Communicate technical concerns effectively to team members and clients.

Skills

Machine Learning

Data Science

Python

Generative AI

Chatbot Development

Tools

MySQL

AWS

Git

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.