Senior Data Scientist & AI/ML Engineer (AWS)

Cloud Kinetics; Indonesia; On-site; IDR 420,000,000 - 720,000,000; Full time

Job summary

Cloud Kinetics seeks a Middle to Senior Data Scientist & AI/ML Engineer to weave advanced analytics, ML engineering, and Generative AI into scalable business solutions in Jakarta. You will analyze data, build predictive models, deploy ML solutions, and create interactive dashboards using Streamlit, Tableau, or Power BI.

Proficiency in AWS SageMaker, Bedrock, and Lake House architecture is essential, as is experience with MLOps, data viz, and API development.

Qualifications

• BS/MS/PhD in CS/DS/AI or related field.
• 4–5+ years in Data Science and/or ML Engineering with AWS experience.
• Proficiency in Python (mandatory), SQL; Java/C++ optional.
• Experience with TensorFlow, PyTorch, Scikit-learn, PyCaret.
• AWS services: SageMaker, Bedrock, Redshift, Glue, Lambda, MWAA, Athena, Step Functions.
• MLOps: MLflow, Docker, Kubernetes, CI/CD on AWS.
• Data Viz: Tableau, Power BI, Streamlit.
• Willing to onsite in South Jakarta with yearly contractextendable.

Responsibilities

• Perform EDA, statistical modelling, and feature engineering.
• Develop predictive and prescriptive models to drive business insights.
• Conduct A/B tests and hypothesis testing for model validation.
• Build dashboards using Power BI or Tableau to visualize insights.
• Design and train ML models using TF, PyTorch, and Scikit-learn.
• Implement ML pipelines with SageMaker Pipelines and Feature Store.
• Deploy scalable models via SageMaker endpoints, ECS, or EKS.
• Automate workflows with AWS MWAA and MLflow on AWS.
• Optimize model performance, inference speed, and real-time AI integrations.
• Build real-time AI apps with Streamlit; visualize outputs in BI tools.
• Develop APIs with FastAPI/Flask; deploy on ECS/EKS/Lambda.
• Create CI/CD pipelines using CodePipeline, CodeBuild, Terraform, GitHub Actions.
• Maintain data pipelines with SQL, PySpark, and AWS Glue.
• Explore Generative AI with Amazon Bedrock and LLMs.

Skills

Python

SQL

Java/C++

TensorFlow

PyTorch

Scikit-learn

PyCaret

SageMaker

Bedrock

Redshift

Glue

Lambda

MWAA

Athena

Step Functions

MLflow

Docker

Kubernetes

CI/CD on AWS

Tableau

Power BI

Streamlit

Education

Bachelor's degree

Master's degree

PhD

Tools

FastAPI

Flask

Terraform

GitHub Actions

Job description

Cloud Kinetics seeks a Middle to Senior Data Scientist & AI/ML Engineer to weave advanced analytics, ML engineering, and Generative AI into scalable business solutions in Jakarta. You will analyze data, build predictive models, deploy ML solutions, and create interactive dashboards using Streamlit, Tableau, or Power BI.

Proficiency in AWS SageMaker, Bedrock, and Lake House architecture is essential, as is experience with MLOps, data viz, and API development.