1,082 Generative AI jobs in Indonesia

Over the last two years, ArcFusion has built a team of elite GenAI engineers in Thailand. We cherry-picked the brightest developers, embedded them in an organization with a will to perform while valuing trust and support.

We are excited to see the validation of our business model in Thailand, and are investing in regional expansion. Therefore, we are looking for a lead GenAI engineer to drive our expansion in Jakarta. You will work closely with our director of international expansion to develop new opportunities, and grow a team of exceptional software engineering talent in Jakarta.

Responsibilities

• Pre-sales: support the head of the Jakarta office on proposing impactful and innovative enterprise solutions for the most challenging business issues of our prospective clients
• Create prototypes and proofs of concept that demonstrate the feasibility and potential benefits of generative AI solutions
• Design, implement, and maintain scalable and robust generative AI systems that meet performance, cost-effectiveness, and latency requirements
• Evaluate the capabilities and limitations of generative AI models, including their accuracy, bias, and interpretability, and provide recommendations for their appropriate use
• Keep up to date with the latest research and advancements in the field, stay informed about emerging trends and best practices, and contribute to the generative AI community

Requirements

• Strong experience in software engineering, with a focus on building production-ready systems
• Passion for learning new technologies and staying updated with the latest advancements in generative AI
• Ability to quickly adapt to changing requirements and evolving technologies
• Ability to clearly articulate technical concepts and ideas to both technical and non-technical audiences
• Experience with Python and Golang
• Experience with large language models (LLMs) and familiar with LLM libraries such as LangChain or LLamaindex
• Familiarity with cloud platforms such as GCP, Azure, AWS
• Familiarity with frontend technologies such as React

• Lead the research, development, and implementation of state-of-the-art generative AI models.
• Design and execute experiments to evaluate model performance, explore new architectures, and optimize existing algorithms.
• Develop scalable ML pipelines for data preprocessing, model training, and deployment in production environments.
• Collaborate with engineering teams to integrate AI models into product features and applications.
• Analyze large datasets to identify patterns, extract insights, and inform model development strategies.
• Stay current with the latest advancements in generative AI, machine learning, and related fields.
• Publish research findings in top-tier conferences and journals, contributing to the scientific community.
• Mentor junior data scientists and contribute to the team's technical growth.
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Contribute to the ethical considerations and responsible development of AI technologies.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
• Minimum of 6 years of experience in data science, with a significant focus on generative AI.
• Proven expertise in developing and deploying LLMs, GANs, diffusion models, or similar generative architectures.
• Proficiency in programming languages such as Python and ML frameworks like TensorFlow, PyTorch, or JAX.
• Strong understanding of deep learning principles, algorithms, and optimization techniques.
• Experience with cloud computing platforms (AWS, GCP, Azure) and distributed training.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a remote team environment.
• Publications in top AI/ML conferences (e.g., NeurIPS, ICML, ICLR) are highly desirable.

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.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 6 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in pre-sales and consulting, delivering technical presentations, and leading discovery and planning sessions with customers with defined scope and success criteria.
• Experience with frameworks for deep learning (e.g., PyTorch, TensorFlow, Jax, Ray, etc.) and using machine learning APIs.

Preferred qualifications:

• Experience in building and deploying data and Machine Learning (ML) pipelines with a focus on automation.
• Experience with prompt tuning and delivering successful prototypes.
• Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g., deep learning, LSTM, convolutional networks, etc.).
• Experience working in technology sales within South East Asia region.
• Experience in understanding customer's existing software workloads, with the ability to define a technical migration roadmap to the cloud reflecting specific customer needs.
• Ability to communicate in Bahasa Indonesia fluently to support client relationships in the region.

About The Job
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Customer Engineer, you will partner with technical business teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to the customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business tests, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks. You will engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will partner with internal engineering stakeholders to improve products and build solutions, optimize for results when in production, and identify innovative ways to multiply the impact of the team as a whole.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
• Share in-depth AI/ML expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
• Work directly with Google Cloud products to demonstrate and prototype integrations in customer and partner environments.
• Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement a complete solution on Google Cloud.
• Travel to customer sites, conferences, and other related events and act as a public advocate for Google Cloud.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

• Evaluate current IT infrastructure and systems to identify inefficiencies, vulnerabilities, and opportunities for enhancement.
• Work with stakeholders (business leaders and end-users) to understand their needs and translate them into clear, actionable technical specifications.
• Develop innovative IT solutions, design new systems, and draft detailed specifications for developers and programmers.
• Act as a liaison between business departments and IT teams, communicating technical concepts clearly to non-technical audiences and ensuring technical teams understand business needs.

• Oversee the testing and implementation of new or upgraded systems, monitoring their performance to ensure optimal functionality.

• Minimum Qualifications: 2 years of experience as a System Analyst or Business Analyst in data-driven or AI-based projects.

• Strong understanding of the Machine Learning lifecycle: data preparation, model training, evaluation, and deployment.
• Familiar with LLMs (Large Language Models), Generative AI, and RAG (Retrieval-Augmented Generation) concepts.
• Hands-on experience or solid understanding of AI frameworks/tools such as TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI API, etc.
• Knowledge of API integration, microservices architecture, and data management (SQL/NoSQL).
• Excellent documentation and cross-functional communication skills.

Preferable:

o Experience in developing or managing AI-driven applications or intelligent chatbots.

o Understanding of Prompt Engineering and AI Model Evaluation.

CODE.ID was previously a business unit of INTEGRASI, a system integrator that also provided software services established in 1999. In 2014, CODE.ID becomes an independently run company which currently has around 100 passionate developers with a myriad numbers of skill sets. CODE.ID has been established since 1999 and became a publicly listed company in Jakarta Stock Exchange in as PT Integrasi Teknologi Tbk. It was back to be a private company in 2007. Our Success Stories: We successfully developed, deployed, and supported Information Technology Infrastructure for Komisi Pemilihan Umum (KPU) or the National Election Commission in 2004. We developed the election application and also distributed, installed, and supported (7x24 hour) two data centers and 8000 VPN connected personal computers in 5,000 locations in the cities, rural areas, and remote areas all over Indonesia.

• Design, train, and evaluate deep learning models for various applications (e.g., computer vision, natural language processing, recommendation systems).
• Implement and optimize ML algorithms using frameworks such as TensorFlow, PyTorch, or Keras.
• Perform data preprocessing, feature engineering, and data augmentation.
• Develop and maintain robust ML pipelines for model training, evaluation, and deployment.
• Collaborate with data scientists and engineers to integrate ML models into production systems.
• Stay current with the latest research and advancements in deep learning and AI.
• Conduct experiments and analyze results to improve model performance.
• Write clean, efficient, and well-documented code.
• Troubleshoot and debug ML models and systems.
• Present findings and model performance to technical and non-technical stakeholders.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 4 years of experience in machine learning, with a strong focus on deep learning.
• Proficiency in Python and ML libraries (e.g., NumPy, Pandas, Scikit-learn).
• Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
• Solid understanding of deep learning architectures (e.g., CNNs, RNNs, Transformers).
• Experience with data manipulation and analysis tools.
• Strong understanding of statistical modeling and evaluation metrics.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and ML services is a plus.
• Excellent problem-solving and analytical skills.
• Effective communication and collaboration abilities.

• Design, develop, and implement advanced deep learning models and algorithms.
• Conduct research on new deep learning architectures and techniques.
• Prepare and preprocess large datasets for model training.
• Train, evaluate, and fine-tune deep learning models for optimal performance.
• Deploy models into production environments, ensuring scalability and reliability.
• Collaborate with cross-functional teams to define AI project requirements and goals.
• Stay current with the latest advancements in deep learning, machine learning, and AI research.
• Write clean, efficient, and well-documented code in Python or other relevant languages.
• Optimize model performance for various hardware platforms.
• Mentor junior engineers and contribute to knowledge sharing within the team.
• Evaluate and integrate third-party AI tools and libraries.
• Document research findings, model designs, and implementation details.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 5+ years of experience in deep learning research and development, with a strong portfolio of successful projects.
• Expertise in neural network architectures (CNNs, RNNs, Transformers, etc.).
• Proficiency in deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python and experience with relevant libraries (NumPy, Pandas, Scikit-learn).
• Solid understanding of statistical modeling, data mining, and machine learning principles.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent analytical, problem-solving, and debugging skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team.

• Conduct advanced research in deep learning, machine learning, and artificial intelligence.
• Develop and implement novel deep learning models, algorithms, and techniques.
• Design and execute experiments to validate research hypotheses and evaluate model performance.
• Analyze large datasets and interpret complex results to extract meaningful insights.
• Publish research findings in leading academic journals and present at international conferences.
• Collaborate with other researchers and engineers on interdisciplinary projects.
• Stay abreast of the latest advancements and trends in AI and deep learning research.
• Contribute to the development of intellectual property and potential product applications.
• Mentor junior researchers and contribute to a collaborative research environment.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Demonstrated experience in deep learning research, evidenced by publications in top-tier venues.
• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
• Solid understanding of various neural network architectures and machine learning algorithms.
• Excellent analytical, mathematical, and problem-solving skills.
• Ability to work independently and drive research projects in a remote setting.
• Strong communication and presentation skills.
• Experience with large-scale data processing and distributed computing is a plus.