Senior Ai Engineer

Magnus; Daerah Khusus Ibukota Jakarta; On-site; IDR 250.000.000 - 500.000.000; Full time

Job summary

A technology company in Jakarta is seeking a Deep Learning AI Scientist specializing in Liveness Detection and Biometrics. The ideal candidate will design and deploy advanced models to ensure robust identity verification. Candidates should have an advanced degree and experience in machine learning. This role offers a competitive salary range of IDR250000000 to IDR500000000.

Qualifications

• 3+ years of hands-on experience in deep learning model development for biometrics.
• Experience with adversarial training to enhance model robustness.
• Familiarity with modern deep learning frameworks.

Responsibilities

• Design, train, and deploy advanced deep learning models for liveness detection.
• Monitor and A/B test new model versions.
• Collaborate with cross-functional teams to deliver impact.

Skills

Deep learning model development

Biometric identification

Python

TensorFlow

Machine learning frameworks

Education

Advanced degree in a quantitative field

Tools

AWS

GCP

Azure

Job description

Job Description

Our mission is to create innovative, robust, and user‑friendly digital identity solutions. We are looking for a passionate and skilled Deep Learning AI Scientist specializing in Liveness Detection and Biometrics to join our dynamic team. Your work will directly impact the security and reliability of VIDA’s identity verification systems.

Responsibilities:

• Liveness Detection Development: Design, train, and deploy advanced deep learning models to ensure robust liveness detection, preventing spoofing attacks using photos, videos, masks, or other methods.
• Design, train and deploy biometric models to correctly identify users
• Own the full lifecycle of deploying models: from data labelling, working with engineers to design scalable APIs, to monitoring and A/B testing new model versions
• Stay updated with the latest research in biometrics, computer vision, and deep learning, incorporating new techniques to improve VIDA’s products
• Collaborate with business, product, operations, and engineering teams to deliver impact for our customers
• Work independently or in a team to solve complex problem statements

Requirements:

• An advanced degree in a quantitative field, and 3+ years of hands‑on experience in deep learning model development for biometrics or liveness detection or a similar field.
• Deep understanding of modern computer vision techniques, deep learning and machine learning
• Experience developing and deploying machine learning models in production
• Experience with adversarial training to enhance model robustness
• Proficient in Python, C++, Scala, or Java
• Familiarity with modern deep learning frameworks such as TensorFlow, PyTorch, MXNet
• Familiarity with cloud platforms like AWS, GCP, or Azure for model deployment.
• Experience in on‑device inference for machine learning models is a plus
• Take pride in taking ownership and driving projects to have business impact
• Thrive in a fast moving collaborative environment

What are we trying to solve?

We have 7.5 billion people on Earth, of which over 1 billion cannot securely prove their identity right now.

Every year, 140 million babies are born, of which 40 million go unregistered.

Simply put, these people are deprived of social benefits, such as education and health, their civil rights to vote and travel; and are excluded from the economy because they cannot sign up for bank accounts, loans, welfare programs etc. We believe this is unacceptable, and needs to change.

At VIDA, we are creating a frictionless digital identity system. One that fulfills the needs and expectations of our times, and is available anywhere, for everyone.

Why are we solving this problem?

The United Nations (UN) and World Bank ID4D initiatives aim to provide everyone on the planet with a legal identity by 2030. This deadline is just 9 years away, we are expecting a digital identity to be a legal human right by then and we at VIDA want to be pioneers in leading this change.

Who are we?

We are a highly driven bunch of people to solve this problem for our own reasons. Whether it is to solve for misleading doctors, or because we didn’t get access to fair ration due to corruption – Our collective goal aligns.

Jakarta, Jakarta IDR250000000 - IDR500000000 Y VIDA Digital Identity

Job Description

Fineksi is a platform that assists financial institutions in achieving digital transformation through AI. We specialize in partnering with financial institutions to provide comprehensive, accurate, reliable, and fast AI‑powered credit analysis.

Role Description

As an AI Software Engineer on our team, you will play a pivotal role in designing and building intelligent features that enhance customer value primarily using generative AI, large language models (LLMs), and agentic frameworks.

You’ll collaborate closely with product and engineering leaders to ideate, prototype, and deliver AI‑powered solutions that elevate the product value.

Key Responsibilities

• Design, develop, and deploy LLM‑powered systems and AI agents.
• Develop knowledge bases by utilising vector embedding and vector db.
• Implement RAG, MCP, and advanced prompt engineering to personalise model behaviour and improve model performance.
• Fine‑tune pre‑trained models on custom datasets to improve performance on specific tasks.
• Develop and apply frameworks to assess, validate, and refine AI model or agent performance, ensuring reliability.
• Work closely with product managers, analysts, and engineers across teams to define high‑value use cases and collect requirements.
• Maintain clear documentation of models, methodologies, and testing to support organisational learning.
• Stay updated on the latest advancements in AI, LLMs, and related technologies to propose innovative solutions.

Qualifications

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 2.5+ years of professional experience in a relevant role (AI Engineer, ML Engineer, Data Scientist, or Data Engineer), with hands‑on experience with NLPs, Computer Vision, LLMs and Generative AI.
• Hands‑on experience working with LLMs and AI frameworks (such as OpenAI, LangChain, or Autogen).
• Expertise in Python and major ML/Data libraries such as PyTorch, TensorFlow, and Scikit‑learn.
• Familiarity with AI agents and agentic orchestration patterns.
• Deep understanding of NLP fundamentals, embedding models, RAG workflows, and customization through fine‑tuning.
• Proven ability to design, build, and deploy production‑ready AI‑powered features.
• Comfortable working in a fast‑paced startup environment with evolving priorities.
• Strong problem‑solving mindset and analytical capabilities, adept at bridging business needs with technical implementations.
• Ability to work independently and collaboratively in a hybrid environment

Jakarta, Jakarta IDR4000000 - IDR6000000 Y GML Performance Consulting

Job Description

Ringkas is helping consumers access mortgage financing. Ringkas is built by passionate founders from Google, Amazon, Dell with backgrounds in tech who have scaled product and digital businesses worldwide. We are backed by VCs, and several prominent angel investors who have built FinTech platforms for millions of people in Indonesia and the US.

Our vision is to Democratize home financing and make it accessible for everyone. We are building infrastructure for financial institutions to ensure financing is fast, transparent, and low‑cost for all. Mortgage finance has operated through traditional opaque systems for years. We’re using AI & technology to make it faster and more efficient, through trusted partners and people to help make a seamless customer experience.

Roles And Responsibilities

• Take on the challenges of building our Agentic AI with interesting use cases for fintech.
• Being the tip of the spear in our technical team, ensuring to leverage the best and latest technologies to keep us in the game.
• Be owner of your product. Voice in your own opinions of every aspects of our product from tech, logic to UI/UX. And turn those innovative ideas into deliverables.

Requirements

• Excellent analytical and problem‑solving skills.
• Hands‑on experience with real‑world NLP use cases and the development of Generative AI APIs, including OpenAI, Anthropic, Gemini, Vertex AI, and other leading models
• Good experience with RAG, embedding & fine‑tuning model
• Strong foundation knowledge on LLM & machine learning
• Experienced with multi‑agent frameworks, including LangChain, for building complex AI‑driven workflows
• Good at English communication.
• An interest in learning about MCP and A2A is considered a plus
• Good experience in web development is a plus, but not mandatory
• Good experience with vision models, but not mandatory
• Ambitions. Motivation to grow high and aim big with your own career.

Jakarta, Jakarta IDR20000000 - IDR25000000 Y ATI Business Group

Job Description

Job Summary

We are looking for a talented and motivated AI Engineer to design, develop, and implement artificial intelligence solutions that solve real‑world problems and enhance our products and services. Candidate should have a background in machine learning, deep learning, data engineering and/or computer vision, with the ability to deploy models in production environments.

Key Responsibilities

• Design, build, and deploy AI/ML models for various business use cases.
• Preprocess and analyze large datasets to ensure data quality and usability.
• Develop, train, and fine‑tune deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
• Collaborate with software engineers and data scientists to integrate AI models into applications and platforms.
• Monitor, evaluate, and improve model performance using MLOps tools.
• Research and apply new AI techniques and algorithms to enhance existing systems.
• Develop APIs and microservices for AI model deployment.
• Document models, experiments, and processes clearly for reproducibility and compliance.

Education:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.

Experience:

• Minimum 1–2 years of experience in AI, Machine Learning, or Data Engineering roles.
• Experience developing and deploying ML models in production environments.

Technical Skills:

• Programming skills in Python (preferred) and familiarity with C++/Java.
• Proficiency with machine learning frameworks: TensorFlow, PyTorch, Scikit‑learn.
• Experience with data processing tools: Pandas, NumPy, SQL, Spark.
• Familiarity with MLOps tools such as MLflow, Kubeflow, or Airflow.
• Experience with cloud platforms (AWS, GCP, or Azure AI services).
• Strong understanding of statistics, probability, and data structures.
• Experience with LLMs (Large Language Models) and generative AI is a plus.

Jakarta, Jakarta IDR4000000 - IDR6000000 Y GML Performance Consulting

Job Description

Key Responsibilities:

• Design, develop, and train machine learning and deep learning models.
• Experiment with different model architectures to enhance performance.
• Integrate AI models into existing systems and applications.
• Deploy and maintain models in production environments.
• Optimize models for speed, scalability, and cost‑efficiency.
• Research and explore new techniques for optimizing Large Language Models (LLMs).
• Collaborate with data engineers, software engineers, product managers, and other teams.
• Clearly communicate technical concepts to non‑technical stakeholders.
• Define project requirements and deliverables with cross‑functional teams.
• Monitor and improve model performance using feedback and new data.
• Document the development process, models, and algorithms.
• Prepare reports and presentations on project progress and outcomes.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Min 5 years Proven experience in machine learning, deep learning, and AI model development.
• Hands‑on experience with AI frameworks like TensorFlow or PyTorch.
• Proficiency in Python; experience in Java, GoLang, or is a plus.
• Experience with training and deploying Large Language Models (e.g., GPT, LLAMA).
• Strong problem‑solving and analytical skills.

Jakarta, Jakarta IDR20000000 - IDR25000000 Y ATI Business Group

Job Description

• Paham konsep face recognition, pose/eye tracking, dan behavior analysis.

Job Description

Who We Are

At CloudFactory, we are a mission‑driven team passionate about unlocking the disruptive potential of AI for the world. By combining advanced technology with a global network of talented experts, we make unusable data usable and inference reliable and trustworthy, driving real‑world business value at scale.

More than just a workplace, we’re a global community founded on strong relationships and the belief that meaningful work transforms lives. Our commitment to earning, learning, and serving fuels everything we do, as we strive to connect one million people to meaningful work and build leaders worth following.

Our Culture

At CloudFactory, we believe in building a workplace where everyone feels empowered, valued, and inspired to bring their authentic selves to work. We are:

• Mission‑Driven: We focus on creating economic and social impact.
• People‑Centric: We care deeply about our team’s growth, well‑being, and sense of belonging.
• Innovative: We embrace change and find better ways to do things, together.
• Globally Connected: We foster collaboration between diverse cultures and perspectives.

If you’re ready to earn, learn, serve, and be part of a vibrant global community, CloudFactory is your place.

Position Overview

This is a full‑time role based in Jakarta, Indonesia. You’ll begin with an on‑site phase for the first six months to collaborate closely with our client team, then transition to a hybrid schedule (three days on‑site each week). The initial contract is for one year, with the possibility of extension.

About the Role

We are seeking an experienced AI Engineer to join our international AI research and engineering team. Based in Indonesia, you will collaborate closely with our Berlin‑based core AI group to develop, optimize, test and deploy large language models (LLMs) at scale.

Your primary focus will be on quantization, model compression, and performance optimization to ensure efficient inference.

This is an exciting opportunity to be part of a global AI innovation hub, working on next‑generation model efficiency and serving a global user base.

Key Responsibilities

• Develop and implement quantization and pruning strategies for large language models (LLMs) to improve runtime efficiency and reduce memory footprint.
• Collaborate with the AI Research team on model architecture, fine‑tuning, and deployment of multilingual and multimodal models.
• Evaluate and benchmark quantized models across hardware platforms (GPU, TPU, CPU, edge accelerators).
• Contribute to the design and maintenance of model optimization pipelines (training, evaluation, conversion, inference).
• Stay current with cutting‑edge research on model compression, distillation, and efficient inference frameworks.
• Support continuous integration of optimized models into production and internal tools.
• Document methodologies and share insights across global teams to promote technical excellence and reproducibility.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Electrical Engineering, or related field.
• 5+ years of professional experience in AI/ML engineering, with a focus on deep learning model optimization.
• Hands‑on experience with quantization techniques (e.g., PTQ, QAT, INT8/FP16 quantization) using frameworks like PyTorch, TensorFlow, or ONNX Runtime.
• Solid understanding of LLM architectures (e.g., Transformer‑based models such as GPT, LLaMA, Mistral, Falcon).
• Strong programming skills in Python, including proficiency with CUDA, NumPy, and PyTorch internals.
• Experience with distributed training/inference and deployment on cloud or edge infrastructure.
• Excellent communication skills and comfort working in a remote, cross‑functional, international environment.

Preferred Qualifications:

• Experience with quantization‑aware training (QAT) and post‑training quantization (PTQ).
• Familiarity with Hugging Face Transformers, DeepSpeed, or TensorRT.
• Contributions to open‑source ML optimization libraries or toolkits.
• Knowledge of low‑level performance profiling and benchmarking (e.g., NVIDIA Nsight, PyTorch Profiler).
• Prior experience collaborating with global AI research teams across time zones.

Jakarta, Jakarta IDR120000000 - IDR240000000 Y CloudFactory