Machine Learning Engineer

Nawatech; Tangerang Selatan; On-site; IDR 300.000.000 - 400.000.000; Full time

Job summary

Join a forward-thinking company as a Data Scientist, where you'll design and develop machine learning models and infrastructure to solve complex business problems. This role requires a solid understanding of AI, ML, and NLP, along with proficiency in Python and various database platforms. You will have the opportunity to manage multiple projects while communicating technical concerns across teams. If you are passionate about leveraging technology to optimize business metrics and thrive in a collaborative environment, this position is perfect for you.

Qualifications

• 1-2 years of experience in Data Science with a focus on ML and AI.
• Proficient in Python and various database platforms.

Responsibilities

• Design and maintain ML models and infrastructure.
• Analyze algorithms for problem-solving and communicate with teams.

Skills

Data Science

Machine Learning (ML)

Natural Language Processing

Statistical Analysis

Problem Solving

Project Management

Root-Cause Analysis

Predictive Modeling

Python

Generative AI

Education

Bachelor's Degree in Data Science or related field

Tools

MySQL

PostgreSQL

Hive

BigQuery

FastAPI

Flask

Django

GCP

Azure

AWS

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 concerns to other parties, such as teammates, project manager, teams from other divisions, and clients.
  
  

What Will You Need

• 1-2 years of proven relevant work experience in Data Science.
• 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, time-series, or predictive modeling skills.
• Able to manage multiple projects with competing priorities.
• Proficiency in using various database platforms such as MySQL, PostgreSQL, Hive, BigQuery, etc.
• Proficiency in Python.
• Understanding of generative AI, LLM, and how to implement it.
• Understanding of REST API best practices using FastAPI, Flask, or Django.
• High sense of ownership of the task or project being worked on.
• Experience in cloud environments such as GCP, Azure, or AWS is a plus.