1,292 AI Ml jobs in Indonesia
AI ML Engineer
Posted today
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About the Company
Our client is an US-based software aggregator that uses AI and machine learning solutions.
About the Role
Our client is looking for a Machine Learning Engineer who's passionate about solving real-world data and spatial analysis problems. In this role, you'll work on end-to-end ML solutions — from data parsing and structuring to building robust visualizations and intelligent automation tools. You'll join a team that values clear thinking, experimentation, and clean code. Our projects use real production data, where accuracy, efficiency, and explainability truly matter.
Responsibilities
- Design and implement clean, modular Python solutions for data processing and analysis.
- Work on real-world spatial or image-based problems using modern tools and frameworks.
- Validate models and results through logical, transparent reasoning.
- Collaborate with cross-functional teams to turn data insights into practical outcomes.
- Communicate technical concepts clearly, including trade-offs and debugging strategies.
Qualifications
- Min 5 years of relevant experience
- Excellent English communication skill
- Strong proficiency in Python typing, pathlib, etc.).
- Hands-on experience with libraries such as PyMuPDF, OpenCV, and Shapely (or similar).
- Proven ability to analyze documents, images, or structured data.
- Curiosity, adaptability, and a growth mindset.
- Familiarity with AI-assisted development tools
(e.g., Copilot, Cursor) is a big plus.
If you thrive in a demanding, fast-paced environment and are looking for a truly rewarding experience, this could be the place for you.
AI/ML Engineer
Posted 8 days ago
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Job Description
Key responsibilities include:
- Developing and implementing machine learning algorithms and models for various applications.
- Processing and analyzing large datasets to extract insights and build predictive models.
- Designing and conducting experiments to test and validate model performance.
- Deploying ML models into production environments and monitoring their performance.
- Collaborating with data scientists, software engineers, and product managers to integrate AI solutions.
- Staying up-to-date with the latest research and advancements in AI and machine learning.
- Contributing to the development of AI strategy and roadmap.
- Building and maintaining data pipelines for model training and inference.
- Evaluating and selecting appropriate tools and frameworks for AI development.
- Documenting model architectures, code, and experimental results.
The successful candidate will hold a Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. A strong portfolio of AI/ML projects and publications is highly desirable. Minimum of 4 years of experience in developing and deploying machine learning models is required. Proficiency in programming languages such as Python, R, or Scala is essential. Hands-on experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn is necessary. Solid understanding of data structures, algorithms, and software engineering principles is required. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark) is a plus. Excellent analytical, problem-solving, and communication skills are a must. This is an exciting opportunity to work on transformative AI projects and shape the future of technology.
AI/ML Engineer
Posted 8 days ago
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Job Description
Responsibilities:
- Design, develop, and implement machine learning models and algorithms to solve complex business problems.
- Collect, preprocess, and analyze large datasets to train and evaluate AI models.
- Develop and maintain robust ML pipelines for model training, deployment, and monitoring.
- Stay abreast of the latest research and advancements in AI, machine learning, and deep learning.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions.
- Optimize model performance for scalability, efficiency, and accuracy.
- Conduct experiments and research to explore new AI techniques and approaches.
- Document AI/ML models, methodologies, and code.
- Troubleshoot and resolve issues related to AI/ML systems.
- Contribute to the company's intellectual property in the AI domain.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying machine learning models.
- Proficiency in programming languages such as Python, R, or Java.
- Strong experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid understanding of statistical modeling, data mining, and machine learning algorithms.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and thrive in a remote, fast-paced environment.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
Remote Data Science Apprentice (AI/ML Focus)
Posted 8 days ago
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Job Description
As a Data Science Apprentice, you will:
- Learn and apply various data science methodologies and machine learning algorithms.
- Assist in data collection, cleaning, and preprocessing from diverse sources.
- Develop and implement machine learning models for tasks such as prediction, classification, and clustering.
- Perform exploratory data analysis to identify trends and patterns.
- Visualize data and model results to communicate findings effectively.
- Collaborate with senior team members on ongoing projects.
- Participate in regular training sessions and workshops focused on AI/ML technologies.
- Gain practical experience with programming languages like Python or R and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Understand principles of data governance, ethics, and privacy.
- Contribute to the development of data-driven solutions that solve real-world business problems.
- Develop skills in areas like natural language processing (NLP), computer vision, or deep learning under expert guidance.
- A strong academic background with a Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or Economics.
- Demonstrated aptitude for logical thinking and problem-solving.
- Basic programming skills (preferably Python) and familiarity with data structures.
- A foundational understanding of statistical concepts.
- Excellent communication skills, both written and verbal, with the ability to articulate technical concepts.
- A genuine enthusiasm for data science, AI, and machine learning.
- Ability to work independently and effectively in a remote team environment.
- A proactive learning attitude and a willingness to embrace new challenges.
- Access to a reliable internet connection and a suitable home office environment.
Senior AI/ML Engineer
Posted today
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The Senior AI/ML Engineer will be instrumental in designing, developing, and deploying advanced AI and ML models. You will work with large datasets, explore various algorithms, and implement solutions that solve complex business problems. The ideal candidate possesses a strong theoretical foundation in AI/ML, extensive practical experience in building and deploying models, and a passion for pushing the boundaries of what's possible. This role demands excellent analytical, programming, and problem-solving skills.
Key Responsibilities:
- Design, develop, train, and deploy machine learning models and algorithms.
- Work with large, complex datasets and perform data preprocessing, feature engineering, and analysis.
- Collaborate with cross-functional teams to define AI/ML project requirements and objectives.
- Research and implement state-of-the-art AI/ML techniques and technologies.
- Develop and maintain robust data pipelines and MLOps infrastructure.
- Evaluate model performance, identify areas for improvement, and iterate on solutions.
- Communicate complex technical concepts and results to both technical and non-technical audiences.
- Stay current with the latest advancements in AI, ML, deep learning, and related fields.
- Contribute to the development of AI/ML best practices and standards within the organization.
- Mentor junior engineers and contribute to a culture of continuous learning and innovation.
- Ensure the ethical and responsible development and deployment of AI systems.
- Write clean, efficient, and well-documented code.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in developing and deploying AI/ML models in a production environment.
- Proficiency in programming languages such as Python, and experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of various ML algorithms, including supervised, unsupervised, and deep learning techniques.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools.
- Excellent data analysis, statistical modeling, and problem-solving skills.
- Ability to work independently and collaboratively in a remote, fast-paced setting.
- Strong communication and presentation skills.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Knowledge of natural language processing (NLP) or computer vision is advantageous.
- This role is associated with initiatives in Medan, North Sumatra, ID , but is fully remote.
Join our innovative, fully remote team and help shape the future of artificial intelligence.
Principal AI/ML Engineer
Posted 1 day ago
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Job Description
Responsibilities:
- Design, develop, and implement robust, scalable, and production-ready AI/ML systems and algorithms.
- Lead the end-to-end machine learning lifecycle, from data exploration and feature engineering to model training, evaluation, deployment, and monitoring.
- Architect scalable ML pipelines and infrastructure, utilizing cloud platforms and MLOps best practices.
- Collaborate with data scientists, researchers, and software engineers to translate business requirements into technical solutions.
- Mentor junior engineers and provide technical guidance on best practices in AI/ML development.
- Evaluate and integrate new technologies and methodologies to enhance AI/ML capabilities.
- Optimize ML models for performance, efficiency, and accuracy in production environments.
- Contribute to the strategic roadmap for AI/ML initiatives within the organization.
- Ensure the ethical and responsible development and deployment of AI systems.
- Troubleshoot and resolve complex technical issues related to ML systems.
- Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related quantitative field.
- 8+ years of experience in software engineering with a strong focus on Machine Learning and AI development.
- Extensive experience designing and implementing large-scale ML systems in production.
- Deep expertise in programming languages such as Python, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven experience with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark).
- Strong understanding of MLOps principles and tools for CI/CD, model versioning, and monitoring.
- Experience with data engineering, feature stores, and model registries.
- Excellent problem-solving, analytical, and architectural design skills.
- Superb communication and collaboration skills, essential for leading a remote technical team.
- Ability to lead technical projects, mentor engineers, and drive innovation.
Automotive AI/ML Engineer
Posted 2 days ago
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Job Description
Responsibilities:
- Design, develop, and implement AI/ML models for automotive applications, including perception, prediction, planning, and control systems.
- Process and analyze large datasets from vehicle sensors (cameras, lidar, radar) and simulation environments.
- Train, test, and validate ML models, ensuring performance, robustness, and safety.
- Collaborate with software engineers, hardware engineers, and product managers to integrate AI/ML solutions into vehicle platforms.
- Develop and maintain efficient data pipelines for model training and evaluation.
- Research and stay updated on the latest advancements in AI/ML, deep learning, and computer vision relevant to the automotive industry.
- Optimize algorithms for deployment on embedded automotive hardware, considering real-time constraints.
- Contribute to the development of simulation tools and frameworks for testing AI/ML systems.
- Document algorithms, models, and system designs clearly and comprehensively.
- Participate in code reviews and contribute to establishing best practices for AI/ML development.
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field with a focus on AI/ML.
- Minimum of 4 years of professional experience in developing and deploying AI/ML models.
- Strong programming skills in Python, C++, and experience with ML frameworks like TensorFlow, PyTorch, or Keras.
- Solid understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and computer vision techniques.
- Experience with data preprocessing, feature engineering, and model evaluation methodologies.
- Familiarity with automotive systems, sensors, and autonomous driving concepts is a strong plus.
- Experience with cloud platforms (AWS, Azure, GCP) for ML model training is advantageous.
- Excellent problem-solving skills and the ability to work effectively in a team environment.
- Good communication skills, both written and verbal.
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Senior AI/ML Engineer
Posted 6 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement advanced machine learning models and AI solutions.
- Conduct research on state-of-the-art AI/ML algorithms and techniques.
- Build and maintain data pipelines for model training and inference.
- Perform data preprocessing, feature engineering, and model evaluation.
- Deploy ML models into production environments, ensuring scalability and performance.
- Collaborate with cross-functional teams to integrate AI capabilities into products and services.
- Troubleshoot and optimize ML models for accuracy and efficiency.
- Stay current with advancements in AI/ML research and industry trends.
- Mentor junior engineers and contribute to the team's technical growth.
- Document research, methodologies, and results.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of professional experience in AI/ML development.
- Proven experience in building and deploying ML models in production.
- Strong expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling.
- Proficiency in programming languages such as Python, and relevant libraries (e.g., Scikit-learn, Pandas, NumPy).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Experience with big data technologies is advantageous.
Lead AI/ML Engineer
Posted 7 days ago
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Job Description
Key Responsibilities:
- Lead the design, development, and implementation of AI/ML models and systems.
- Develop and deploy machine learning algorithms for various applications, including predictive modeling, natural language processing, and computer vision.
- Architect and build scalable, robust, and efficient AI/ML infrastructure and pipelines.
- Collaborate with product managers and stakeholders to define AI/ML project requirements and roadmaps.
- Mentor and guide a team of AI/ML engineers, fostering a culture of innovation and technical excellence.
- Conduct research on state-of-the-art AI techniques and evaluate their applicability to business challenges.
- Optimize model performance, ensuring accuracy, efficiency, and scalability.
- Write high-quality, production-ready code in Python or other relevant programming languages.
- Stay abreast of the latest advancements in AI, machine learning, and data science.
- Contribute to the company's intellectual property through publications or patents.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in developing and deploying AI/ML models in production environments.
- Proven experience in leading engineering teams and managing complex AI projects.
- Expertise in programming languages like Python and associated ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of data structures, algorithms, and software design principles.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- A passion for pushing the boundaries of AI and its practical applications.
Senior AI/ML Engineer
Posted 8 days ago
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Job Description
Responsibilities:
- Design, develop, and implement machine learning models and algorithms for various applications, including predictive analytics, natural language processing, computer vision, and reinforcement learning.
- Build and maintain scalable data pipelines for training and deploying ML models.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into products and services.
- Conduct rigorous experimentation and validation of models to ensure accuracy, performance, and reliability.
- Stay abreast of the latest research and advancements in AI and machine learning, and identify opportunities for applying them to business challenges.
- Optimize ML models for performance, efficiency, and scalability in production environments.
- Develop and implement MLOps practices for model monitoring, versioning, and continuous deployment.
- Contribute to the architecture and design of AI/ML systems.
- Document research, development processes, and model performance.
- Mentor junior engineers and share knowledge within the team.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in applied machine learning and AI development.
- Proficiency in programming languages such as Python, with extensive experience in ML libraries like TensorFlow, PyTorch, scikit-learn, Keras, etc.
- Strong understanding of various ML algorithms (e.g., deep learning, SVM, random forests, gradient boosting) and their underlying principles.
- Experience with data manipulation and analysis tools (e.g., Pandas, NumPy) and SQL.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Proven experience in deploying ML models into production environments.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
- Experience with MLOps principles and tools is a significant plus.