What Jobs are available for Ml Engineer in Indonesia?
Showing 1320 Ml Engineer jobs in Indonesia
Remote AI/ML Engineer - Deep Learning
Posted 7 days ago
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Job Description
Your responsibilities will include designing and implementing deep learning architectures, training and evaluating models using large datasets, and optimizing model performance for real-world applications. You will collaborate with data scientists and software engineers to integrate AI/ML models into production systems. This role requires a strong understanding of various deep learning frameworks such as TensorFlow, PyTorch, or Keras, as well as expertise in relevant programming languages like Python. You will conduct research into new AI techniques and technologies, staying at the forefront of the field. Experience with cloud platforms (AWS, Azure, GCP) for model deployment and scaling is highly desirable. Furthermore, you will be involved in data preprocessing, feature engineering, and the end-to-end machine learning pipeline.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with at least 4 years of hands-on experience in developing and deploying deep learning models. A strong publication record in top-tier AI conferences or journals is a significant advantage. Demonstrated expertise in areas such as computer vision, natural language processing, or reinforcement learning is preferred. Exceptional programming skills in Python and proficiency with ML libraries are essential. Strong analytical, problem-solving, and critical thinking skills are required. Excellent communication and collaboration abilities are crucial for working effectively in a remote team environment. This is a unique opportunity to contribute to the advancement of artificial intelligence and shape the future of technology from the comfort of your remote workspace.
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                    Senior AI/ML Engineer - Deep Learning
Posted 8 days ago
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Job Description
Responsibilities:
- Research, design, develop, and implement state-of-the-art deep learning models for various applications, including but not limited to computer vision, natural language processing, and predictive analytics.
- Collaborate with data scientists, software engineers, and domain experts to understand project requirements and translate them into AI/ML solutions.
- Preprocess, clean, and engineer features from large, complex datasets.
- Train, evaluate, and fine-tune deep learning models, optimizing for performance, accuracy, and efficiency.
- Deploy trained models into production environments, ensuring scalability and reliability.
- Stay abreast of the latest research and advancements in AI, machine learning, and deep learning.
- Develop and maintain robust MLOps pipelines for model training, deployment, and monitoring.
- Contribute to the intellectual property of the company through research and publications.
- Mentor junior engineers and contribute to the technical growth of the team.
- Document research findings, model architectures, and implementation details thoroughly.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A minimum of 5-8 years of experience in AI/ML engineering, with a strong specialization in deep learning.
- Proficiency in programming languages such as Python, and familiarity with associated libraries (e.g., NumPy, Pandas, Scikit-learn).
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Solid understanding of various deep learning architectures (e.g., CNNs, RNNs, Transformers) and their applications.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services is a plus.
- Knowledge of MLOps principles and tools (e.g., Docker, Kubernetes, MLflow).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts.
- Proven ability to work independently and manage complex projects in a remote setting.
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                    Senior AI/ML Engineer - Deep Learning
Posted 13 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement advanced deep learning models for tasks such as computer vision, natural language processing, recommendation systems, and predictive analytics.
- Conduct research and stay up-to-date with the latest advancements in AI, machine learning, and deep learning methodologies.
- Preprocess and analyze large datasets, ensuring data quality and suitability for model training.
- Train, evaluate, and fine-tune deep learning models to achieve optimal performance and accuracy.
- Deploy machine learning models into production environments, ensuring scalability and robustness.
- Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products and services.
- Develop MLOps pipelines for model versioning, monitoring, and automated retraining.
- Write clean, efficient, and well-documented code in Python and relevant ML frameworks.
- Contribute to the technical strategy and roadmap for AI initiatives.
- Mentor junior engineers and share knowledge within the team.
Qualifications:
- Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of experience in AI/ML engineering, with a strong focus on deep learning.
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Solid understanding of various deep learning architectures (CNNs, RNNs, Transformers, etc.).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Proficiency in Python programming and relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and thrive in a fast-paced, fully remote team environment.
This is a premier remote opportunity for a talented AI/ML Engineer to drive innovation and make a significant impact in the field of artificial intelligence. Join our client's groundbreaking team and help build the future.
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                    Senior AI/ML Engineer - Deep Learning
Posted 18 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement sophisticated deep learning models for tasks such as natural language processing, computer vision, or predictive analytics.
- Process, clean, and analyze large, complex datasets to extract meaningful insights.
- Research and experiment with new AI/ML algorithms and technologies to drive innovation.
- Develop and maintain scalable machine learning pipelines for model training, evaluation, and deployment.
- Collaborate with data scientists, software engineers, and product managers to integrate ML models into products and services.
- Optimize model performance, accuracy, and efficiency for production environments.
- Stay current with the latest advancements in AI and machine learning research and industry trends.
- Write clean, well-documented, and efficient code in Python or other relevant languages.
- Mentor junior engineers and contribute to the team's technical growth.
- Contribute to the architectural decisions for our AI/ML infrastructure.
Qualifications:
- 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 developing and deploying AI/ML models, with a significant focus on deep learning.
- Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, Keras.
- Strong programming skills in Python, with experience in libraries like NumPy, Pandas, Scikit-learn.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools is highly desirable.
- Solid understanding of ML algorithms, statistical modeling, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, capable of working effectively in a remote team.
- Ability to work independently and manage complex projects.
This is a unique opportunity to work on cutting-edge AI projects in a fully remote setting. If you are a passionate AI/ML expert looking to make a significant impact, we encourage you to apply.
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                    Senior AI/ML Engineer - Deep Learning
Posted 25 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement deep learning models for various applications (e.g., computer vision, natural language processing, predictive analytics).
- Collaborate with data scientists, software engineers, and product managers to define AI/ML project requirements.
- Preprocess and analyze large, complex datasets to extract meaningful insights and prepare data for model training.
- Train, evaluate, and tune deep learning models to achieve optimal performance.
- Deploy machine learning models into production environments, ensuring scalability and reliability.
- Develop and maintain MLOps pipelines for continuous integration, deployment, and monitoring of models.
- Stay up-to-date with the latest research and advancements in AI, ML, and deep learning.
- Conduct rigorous experimentation and interpret results to guide model development.
- Write clean, efficient, and well-documented code in Python and relevant ML libraries.
- Contribute to the architectural design of AI/ML systems and infrastructure.
- Mentor junior engineers and contribute to knowledge sharing within the team.
- Present findings and model performance to technical and non-technical stakeholders.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in developing and deploying deep learning models.
- Proficiency in Python and key ML libraries/frameworks such as TensorFlow, PyTorch, Keras, scikit-learn.
- Strong understanding of various deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
- Knowledge of MLOps principles and tools (e.g., Docker, Kubernetes, MLflow).
- Experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
- Strong mathematical background in linear algebra, calculus, and probability.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to explain complex concepts clearly.
- Proven ability to work independently and manage complex projects in a remote setting.
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                    Senior AI/ML Engineer - Deep Learning Specialist
Posted 5 days ago
Job Viewed
Job Description
- Design, build, and deploy advanced deep learning models for applications such as computer vision, natural language processing, and predictive analytics.
- Conduct research and experiments to evaluate and improve model performance, accuracy, and efficiency.
- Develop and implement scalable ML pipelines for data preprocessing, model training, and deployment.
- Collaborate with product managers and other engineers to define project requirements and technical specifications.
- Stay current with the latest research papers, trends, and advancements in deep learning and AI.
- Optimize model performance for large-scale production environments.
- Write clean, efficient, and well-documented code in Python and relevant ML libraries.
- Mentor junior engineers and contribute to the team's technical growth.
- Troubleshoot and debug ML systems in production.
- Contribute to the overall AI/ML strategy and roadmap of the company.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying deep learning models.
- Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python and experience with ML libraries (e.g., Scikit-learn, Pandas, NumPy).
- Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Excellent problem-solving skills and the ability to tackle complex, ambiguous challenges.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team environment.
- Experience with distributed computing and large datasets.
- Published research in top-tier AI/ML conferences or journals is highly desirable.
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Remote AI/ML Engineer - Deep Learning Specialist
Posted 7 days ago
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                    Senior AI/ML Engineer (Deep Learning Focus)
Posted 17 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement state-of-the-art deep learning models for tasks such as computer vision, natural language processing, and predictive analytics.
- Conduct research and experimentation to explore new AI algorithms, techniques, and frameworks.
- Prepare and preprocess large datasets, ensuring data quality and suitability for model training.
- Train, tune, and evaluate machine learning and deep learning models to achieve optimal performance.
- Implement MLOps practices for efficient model deployment, monitoring, and lifecycle management.
- Collaborate with product managers, software engineers, and data scientists to define project requirements and deliver AI-powered features.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research and apply them to solve business challenges.
- Write clean, well-documented, and efficient code in Python or other relevant languages.
- Contribute to technical documentation, research papers, and internal knowledge sharing.
- Troubleshoot and optimize existing AI models and systems.
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, with at least 3 years focused on deep learning.
- Strong proficiency in Python and experience with ML/DL libraries such as TensorFlow, PyTorch, Keras, scikit-learn.
- Solid understanding of fundamental ML algorithms and deep learning architectures (CNNs, RNNs, GANs, Transformers).
- Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
- Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy).
- Experience with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow) is a significant advantage.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities, suitable for a remote work environment.
- A portfolio of relevant projects or contributions to open-source AI initiatives is a plus.
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                    Remote Senior AI/ML Engineer - Deep Learning
Posted 19 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and implement state-of-the-art deep learning models for various applications (e.g., computer vision, natural language processing, predictive analytics).
- Conduct research and experimentation to explore new algorithms, techniques, and frameworks.
- Collaborate with cross-functional teams (data scientists, software engineers, product managers) to define project requirements and deliver solutions.
- Build and manage robust data pipelines for model training and evaluation.
- Optimize model performance, scalability, and efficiency for deployment in production environments.
- Stay up-to-date with the latest advancements in AI/ML research and industry trends.
- Contribute to the development of the company's AI/ML strategy and roadmap.
- Mentor junior engineers and share knowledge within the team.
- Write clean, well-documented, and maintainable code.
- Evaluate and integrate third-party AI/ML tools and platforms.
- Present technical findings and project updates to stakeholders.
- Ensure the ethical and responsible development and deployment of AI systems.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of experience in AI/ML engineering, with a strong focus on deep learning.
- Proven experience in developing and deploying deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
- Expertise in areas such as CNNs, RNNs, Transformers, and generative models.
- Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, NumPy, Pandas).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and collaboration skills, suitable for a remote team.
- Experience with large-scale data processing and distributed computing is a plus.
- Published research in top-tier AI/ML conferences or journals is highly regarded.
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