1,249 Senior AI Engineer jobs in Indonesia
Lead AI Engineer - Deep Learning (Remote)
Posted 8 days ago
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Job Description
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 & Machine Learning Engineer - Deep Learning Specialist
Posted 8 days ago
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Job Description
Senior AI/ML Engineer - Deep Learning
Posted 5 days ago
Job Viewed
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.
AI/ML Engineer - Deep Learning Solutions
Posted 8 days ago
Job Viewed
Job Description
Responsibilities:
- Design, build, and deploy machine learning models for various applications, including but not limited to natural language processing, computer vision, and predictive analytics.
- Conduct research and experimentation to identify and implement state-of-the-art AI algorithms and techniques.
- Develop and maintain data pipelines for collecting, cleaning, and transforming large datasets.
- Train, evaluate, and fine-tune deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
- Collaborate with software engineers to integrate ML models into production systems.
- Monitor model performance, identify drift, and implement strategies for continuous improvement.
- Stay abreast of the latest research and advancements in AI and machine learning.
- Document algorithms, models, and processes thoroughly.
- Contribute to the development of AI strategy and roadmap.
- Work closely with stakeholders to understand business needs and translate them into technical requirements.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in developing and deploying machine learning models in a production environment.
- Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Solid understanding of statistical modeling, data mining, and data analysis techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work effectively in a team-oriented environment.
- Experience with big data technologies (e.g., Spark, Hadoop) is advantageous.
AI/ML Engineer - Deep Learning Specialist
Posted 8 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, train, and deploy deep learning models for various applications (e.g., computer vision, natural language processing, predictive analytics).
- Conduct research and experimentation to identify and implement optimal algorithms and architectures.
- Preprocess and analyze large datasets to extract meaningful features and prepare them for model training.
- Optimize model performance for accuracy, efficiency, and scalability.
- Collaborate with software engineers to integrate AI/ML models into production systems and applications.
- Stay current with the latest advancements in AI, machine learning, and deep learning research.
- Develop and maintain documentation for models, algorithms, and experimental results.
- Participate in code reviews and contribute to the team's best practices in software development and MLOps.
- Evaluate and select appropriate tools, frameworks, and libraries for AI/ML development (e.g., TensorFlow, PyTorch, Keras).
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
- Contribute to the strategic direction of AI initiatives within the company.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in developing and deploying machine learning models, with a strong focus on deep learning.
- Proficiency in programming languages such as Python, and experience with relevant ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of various deep learning architectures (CNNs, RNNs, Transformers) and their applications.
- Experience with cloud platforms (AWS, Azure, GCP) for ML workloads is highly desirable.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and teamwork abilities.
- Ability to work independently and manage research projects effectively.
- A passion for innovation and a desire to push the boundaries of AI.
- Experience with MLOps principles and tools is a plus.
This is a unique opportunity to be at the forefront of AI innovation.
Remote AI/ML Engineer - Deep Learning
Posted 8 days ago
Job Viewed
Job Description
Responsibilities:
- Research, design, develop, and implement deep learning models and algorithms.
- Process, clean, and analyze large datasets for model training and evaluation.
- Collaborate with data scientists, software engineers, and product managers to define AI/ML project requirements and objectives.
- Implement and optimize machine learning pipelines for scalability and efficiency.
- Stay up-to-date with the latest advancements in AI, deep learning, and related fields.
- Develop prototypes and proofs-of-concept for new AI-driven features and solutions.
- Write high-quality, well-documented code in Python or other relevant languages.
- Deploy machine learning models into production environments, ensuring robust performance and monitoring.
- Evaluate model performance, identify areas for improvement, and iterate on solutions.
- Contribute to the company's intellectual property through research and innovation.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of various deep learning architectures (CNNs, RNNs, Transformers, etc.).
- Proficiency in Python and relevant libraries (NumPy, Pandas, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Solid grasp of data preprocessing, feature engineering, and model evaluation techniques.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills for working effectively in a remote team.
- Experience with large-scale data processing and distributed computing is advantageous.
- A portfolio of AI/ML projects or contributions to open-source projects is highly desirable.
Senior AI/ML Engineer (Deep Learning)
Posted 8 days ago
Job Viewed
Job Description
- Design, develop, and implement advanced deep learning models for various applications (e.g., NLP, computer vision, recommendation systems).
- Conduct research on state-of-the-art AI/ML techniques and algorithms.
- Preprocess, clean, and analyze large datasets for model training.
- Train, evaluate, and fine-tune deep learning models to optimize performance.
- Deploy machine learning models into production environments using MLOps best practices.
- Collaborate with cross-functional teams to define AI/ML project requirements and integrate solutions.
- Write efficient, well-documented, and maintainable code.
- Stay updated with the latest advancements in AI, machine learning, and data science.
- Mentor junior engineers and share knowledge within the team.
- Contribute to the development of AI strategy and roadmaps.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5 years of professional experience in AI/ML engineering, with a focus on deep learning.
- Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills.
- Ability to work effectively in a fast-paced, research-oriented environment.
- Experience with big data technologies is a plus.
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Senior AI/ML Engineer (Deep Learning)
Posted 8 days ago
Job Viewed
Job Description
Key responsibilities include designing, implementing, and optimizing deep learning models for various applications, such as computer vision, natural language processing, and predictive analytics. You will be responsible for data preprocessing, feature engineering, model training, evaluation, and deployment, ensuring scalability and efficiency. Collaboration with data scientists, software engineers, and product managers to translate business requirements into robust AI solutions will be crucial. The Senior AI/ML Engineer will also be tasked with staying abreast of the latest research and advancements in deep learning, experimenting with new algorithms and techniques, and contributing to the overall AI strategy. Implementing MLOps best practices for model management, monitoring, and continuous improvement will be a core aspect of this role. You will also contribute to technical documentation and knowledge sharing within the engineering team. The ability to work effectively in a collaborative, fast-paced environment is essential.
The successful candidate will hold a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, with at least 6 years of experience in AI/ML development, with a strong focus on deep learning. Proficiency in Python and expertise with deep learning frameworks like TensorFlow, PyTorch, or Keras are essential. Experience with cloud platforms (AWS, Azure, GCP) and distributed training is highly desirable. Strong analytical, problem-solving, and communication skills are a must. A portfolio of relevant projects and a demonstrated ability to deliver production-ready ML solutions are highly valued. This is an exceptional opportunity for a talented AI/ML Engineer to work on challenging and impactful projects at the forefront of artificial intelligence.
Senior AI/ML Engineer - Deep Learning
Posted 8 days ago
Job Viewed
Job Description
Responsibilities:
- Design, develop, and deploy advanced AI and Machine Learning models.
- Conduct research on state-of-the-art AI algorithms and techniques.
- Implement and optimize deep learning models for various applications.
- Work with large datasets, perform feature engineering, and data preprocessing.
- Collaborate with cross-functional teams to define and implement AI solutions.
- Ensure the scalability, performance, and reliability of ML systems in production.
- Mentor junior engineers and contribute to AI best practices.
- Stay current with advancements in the AI/ML field.
- Master's or Ph.D. in Computer Science or related quantitative field.
- 7+ years of professional experience in AI/ML engineering.
- Expertise in Python and deep learning frameworks (TensorFlow, PyTorch).
- Experience with NLP, computer vision, or other AI domains.
- Proficiency with cloud platforms (AWS, Azure, GCP) and MLOps.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork capabilities.
- Ability to excel in a fully remote, collaborative environment.
Senior AI/ML Engineer - Deep Learning
Posted 8 days ago
Job Viewed
Job Description
Key Responsibilities:
- Design, develop, and implement state-of-the-art deep learning models.
- Work with large-scale datasets, perform data preprocessing, and feature engineering.
- Train, evaluate, and optimize machine learning models for various applications.
- Deploy ML models into production environments, ensuring scalability and reliability.
- Stay current with the latest research and advancements in AI and Deep Learning.
- Collaborate with cross-functional teams to define project requirements and deliver solutions.
- Develop and maintain code for ML pipelines and experiments.
- Contribute to the technical direction and strategy for AI/ML initiatives.
- Communicate complex technical concepts to both technical and non-technical audiences.
- Mentor junior engineers and contribute to knowledge sharing.
- 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.
- Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Hands-on experience with various deep learning architectures (CNNs, RNNs, Transformers).
- Experience with cloud computing platforms (AWS, Azure, GCP) and MLOps practices.
- Strong understanding of algorithms, data structures, and software engineering principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration abilities.
- Ability to work independently and effectively in a fully remote environment.