Job Description
We are looking for a
Data Scientist / AI & Machine Learning Engineer
with strong experience in building
end-to-end Machine Learning, Deep Learning, and Generative AI solutions . This role will be responsible for designing scalable AI architectures, developing predictive and Generative AI models (RAG, Agentic AI), and deploying production‑ready solutions on
cloud platforms such as Google Cloud Platform (GCP) and/or AWS .
The ideal candidate has hands‑on experience with
MLOps , large‑scale data processing, and delivering AI solutions in real‑world enterprise environments.
Job Responsibilities
Design, develop, and deploy
Machine Learning, Deep Learning, and Generative AI
solutions.
Build and maintain
end-to-end ML pipelines , including data ingestion, preprocessing, model training, deployment, and monitoring.
Develop
Generative AI applications , such as:
LLM-based chatbots
Retrieval-Augmented Generation (RAG)
Agentic AI / Multi‑Agent systems using LangChain and LangGraph
Design and implement
cloud architectures
on
Google Cloud Platform
(Vertex AI, BigQuery, Dataflow, Cloud Run, Cloud Functions, Dialogflow, etc.) and/or
AWS .
Develop and optimize models for
forecasting, classification, and regression
use cases.
Collaborate with business stakeholders, product teams, and engineers to translate business requirements into AI‑driven solutions.
Optimize model performance, scalability, and reliability in production environments.
Apply
MLOps best practices , including CI/CD for ML, automation, and monitoring.
Provide technical leadership, guidance, and best practices to team members.
Job Qualifications
Bachelor’s or Master’s degree in
Computer Science, Informatics, Data Science, or related fields
(Master’s degree is a plus).
1+ years of experience as a
Data Scientist, Machine Learning Engineer, or AI Engineer .
Strong knowledge and hands‑on experience in:
Machine Learning, Deep Learning, and
Generative AI
MLOps and automated ML pipelines
Hands‑on experience with
Google Cloud Platform
(Vertex AI, BigQuery, Dataflow, Cloud Storage, etc.).
Experience with
AWS
is a plus.
Experience with
Vector Databases
(Pinecone, Weaviate, ChromaDB) and relational/non‑relational databases.
Proven experience developing
LLM‑based applications , including chatbots, RAG, and Agentic AI.
Solid understanding of
cloud architecture, data engineering, and scalable systems .
Cloud and/or Machine Learning certifications (e.g., Google Cloud, Professional ML Engineer) are a strong plus.
Strong problem‑solving skills, good communication abilities, and the ability to work independently or in a team.
PT. Sisindokom Lintasbuana is a member of Aneka Spring Telekomindo Group is one of the leading IT and Networking Solution provider in Indonesia. Having more than 30 years of experience in providing IT solutions to the business community is looking suitable qualified and experience personnel to fill the position of :
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