1,305 AI Development jobs in Indonesia
Deep Learning
Posted today
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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.
Senior Deep Learning Engineer
Posted 8 days ago
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Responsibilities:
- 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.
Qualifications:
- 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.
Junior AI Development Trainee
Posted 8 days ago
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This apprenticeship is ideal for recent graduates or individuals passionate about transitioning into an AI career. No prior professional experience in AI is required, but a strong academic background in a quantitative field (Computer Science, Mathematics, Statistics, Engineering) and a demonstrable interest in AI are essential. Trainees will be exposed to programming languages such as Python, and popular AI frameworks like TensorFlow and PyTorch. You will participate in coding exercises, team projects, and research tasks, developing a solid foundation in AI development. As a fully remote trainee, you must possess excellent self-management skills, a keen willingness to learn, and the ability to communicate effectively within a virtual team environment. This program offers a unique pathway to launch a successful career in AI, providing invaluable mentorship and exposure to cutting-edge technologies. We are looking for enthusiastic individuals eager to absorb knowledge and contribute to innovative AI solutions. This is more than just training; it's an entry point into a high-demand field.
Responsibilities:
- Assist senior AI engineers and researchers in developing and testing AI models.
- Learn and apply fundamental concepts of machine learning and deep learning.
- Perform data collection, cleaning, and preprocessing tasks.
- Write and execute code for AI algorithms and applications.
- Participate in team projects and contribute to collaborative development efforts.
- Document research findings, experimental results, and code.
- Attend training sessions and workshops to enhance AI knowledge and skills.
- Support the debugging and troubleshooting of AI systems.
- Stay updated with emerging trends and technologies in AI.
- Contribute to the continuous improvement of AI tools and processes.
- Bachelor's degree or current enrollment in a Bachelor's program in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or a related quantitative field.
- A strong passion for Artificial Intelligence and Machine Learning.
- Basic understanding of programming concepts, preferably in Python.
- Familiarity with basic mathematical concepts (linear algebra, calculus, probability).
- Excellent analytical and problem-solving skills.
- Strong desire to learn and adapt to new technologies.
- Good communication and collaboration skills for remote teamwork.
- Self-motivated with strong time management and organizational abilities.
- Previous project work or academic research in AI/ML is a plus.
- Ability to commit to the full duration of the apprenticeship program.
Junior AI Development Apprentice
Posted 8 days ago
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Responsibilities:
- Assist senior AI engineers in developing, training, and evaluating machine learning models.
- Collect, clean, and pre-process data for AI projects.
- Write and maintain code for AI algorithms and applications, primarily in Python.
- Contribute to the research and implementation of new AI techniques.
- Participate in code reviews and team discussions.
- Learn and apply best practices in software development and MLOps.
- Document research findings, methodologies, and code.
- Assist in the creation of reports and presentations on project progress.
- Gain exposure to various AI domains, such as natural language processing, computer vision, and reinforcement learning.
- Collaborate effectively with team members in a virtual setting.
- Actively seek feedback and opportunities for professional development.
Qualifications:
- Recent graduate with a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent demonstrable knowledge.
- Foundational understanding of machine learning concepts and algorithms.
- Proficiency in Python programming.
- Familiarity with AI/ML libraries and frameworks such as TensorFlow, PyTorch, scikit-learn.
- Basic knowledge of data structures and algorithms.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills, suitable for a remote team.
- Eagerness to learn and adapt to new technologies.
- Self-motivated and able to manage time effectively in a remote work environment.
- A genuine passion for Artificial Intelligence and its applications.
This apprenticeship is an exceptional stepping stone into the rapidly evolving field of AI. Our client is committed to providing a comprehensive learning experience and supporting your growth into a skilled AI professional, all within a flexible remote work structure.
Machine Learning Engineer (Deep Learning)
Posted 5 days ago
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Key Responsibilities:
- 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.
Qualifications:
- 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.
Lead AI Engineer - Deep Learning (Remote)
Posted 8 days ago
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Key Responsibilities:
- Lead the design and implementation of deep learning models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics.
- Develop and maintain robust ML pipelines for data ingestion, feature engineering, model training, evaluation, and deployment in cloud environments (AWS, Azure, GCP).
- Conduct cutting-edge research to identify and integrate novel AI techniques and frameworks.
- Collaborate with product managers and stakeholders to define AI strategy and roadmap.
- Mentor and guide junior AI engineers, fostering a culture of technical excellence and continuous learning.
- Optimize model performance for efficiency, accuracy, and scalability.
- Ensure the ethical development and deployment of AI systems, adhering to best practices in fairness, accountability, and transparency.
- Stay current with the latest advancements in AI, machine learning, and deep learning research and industry trends.
We require candidates with a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, and at least 6 years of hands-on experience in developing and deploying deep learning models in production. Proficiency in Python and relevant AI/ML libraries (TensorFlow, PyTorch, Keras) is mandatory. Experience with distributed computing frameworks and cloud ML platforms is highly desirable. Excellent leadership, communication, and problem-solving skills are essential for this remote leadership position. This is an exceptional opportunity to work on challenging AI problems with a global impact, fully remotely.
AI Research Scientist - Deep Learning
Posted 2 days ago
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Key Responsibilities:
- 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.
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AI Research Scientist - Deep Learning
Posted 6 days ago
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AI Research Scientist (Deep Learning)
Posted 8 days ago
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Job Description
Key Responsibilities:
- Conduct state-of-the-art research in deep learning and artificial intelligence.
- Develop, implement, and optimize novel deep learning algorithms and architectures.
- Design and execute experiments to validate research hypotheses and evaluate model performance.
- Analyze large datasets and extract meaningful insights to inform model development.
- Collaborate with a global team of researchers and engineers to advance AI capabilities.
- Publish research findings in top-tier academic conferences and journals.
- Contribute to the development of AI-powered products and services.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Mentor junior researchers and contribute to the intellectual property of the company.
- Develop and maintain robust, scalable, and efficient AI systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of significant research contributions in deep learning, demonstrated through publications, patents, or open-source projects.
- Expertise in at least one major deep learning framework (e.g., TensorFlow, PyTorch, JAX).
- Strong programming skills in Python and experience with scientific computing libraries (e.g., NumPy, SciPy, Pandas).
- Deep understanding of various deep learning models, including CNNs, RNNs, Transformers, GANs, etc.
- Experience with cloud computing platforms (AWS, GCP, Azure) and distributed training is a plus.
- Excellent analytical, critical thinking, and problem-solving skills.
- Exceptional communication and collaboration skills, with the ability to articulate complex technical concepts effectively.
- Ability to work independently, self-motivate, and thrive in a fast-paced, remote research environment.
- Experience in areas such as computer vision, NLP, or reinforcement learning is highly desirable.
AI Research Scientist - Deep Learning
Posted 8 days ago
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