194 E Learning jobs in Indonesia
HR & Learning Executive

Posted 4 days ago
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**Job Number** 25130686
**Job Category** Human Resources
**Location** Four Points by Sheraton Bandung, Jl Ir. H Juanda No 46, Bandung, West Java, Indonesia, 40115VIEW ON MAP ( Full Time
**Located Remotely?** N
**Position Type** Non-Management
**POSITION SUMMARY**
Assist in monitoring/tracking employee relations issues including resolution and follow-up. Assist and support management and the leadership team with handling and resolving Human Resources issues. Monitor all hiring and recruitment processes for compliance with all local, state, and federal laws and company policies and standards. Inform Human Resources management of issues related to employee relations. Respond to questions, requests, and concerns from employees and management regarding company and Human Resources programs, policies and guidelines. Disseminate information to employees related to employer-employee relations, employee activities, and personnel policies and programs. Review and ensure accurate maintenance of all employee records and files (e.g., interview documents, I-9's). Assist in logistics, administration, and scheduling of annual employee surveys. Answer phone calls and record messages.
Assist management in hiring, training, scheduling, evaluating, counseling, disciplining, and motivating and coaching employees. Follow all company and safety and security policies and procedures; report accidents, injuries, and unsafe work conditions to manager. Maintain confidentiality of proprietary information. Welcome and acknowledge all guests according to company standards. Speak with others using clear and professional language; answer telephones using appropriate etiquette. Develop and maintain positive working relationships with others; support team to reach common goals; listen and respond appropriately to the concerns of other employees. Enter and locate work-related information using computers and/or point of sale systems. Move, lift, carry, push, pull, and place objects weighing less than or equal to 10 pounds without assistance. Perform other reasonable job duties as requested by Supervisors.
PREFERRED QUALIFICATIONS
Education: High school diploma or G.E.D. equivalent.
Related Work Experience: At least 1 year of related work experience.
Supervisory Experience: At least 1 year of supervisory experience.
License or Certification: None
_At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law._
Where timeless classics are woven with modern details. Where business meets pleasure. Where even when travelers are global, they can experience the local. As a member of the team, you will become part of our united Four Points by Sheraton community where everyone is welcome, we support each other, and every hotel matters. We provide exactly what guests need in an uncomplicated way. If you are seeking opportunities to put guests at ease in a friendly, genuine and approachable environment, join our team. In joining Four Points, you join a portfolio of brands with Marriott International. **Be** where you can do your best work, **begin** your purpose, **belong** to an amazing global team, and **become** the best version of you.
Machine Learning Engineer
Posted today
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Machine Learning Researcher
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Machine Learning Engineer
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Remote Learning Specialist
Posted today
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Key Responsibilities:
- Design and develop engaging online courses and curriculum using various learning management systems (LMS) and multimedia tools.
- Create interactive learning materials, including videos, quizzes, simulations, and interactive exercises.
- Implement effective online teaching strategies and facilitate virtual classroom discussions.
- Provide technical support and guidance to students and instructors on online learning platforms.
- Assess student learning and provide constructive feedback in a timely manner.
- Collaborate with subject matter experts to ensure content accuracy and relevance.
- Stay current with trends and advancements in educational technology and online pedagogy.
- Analyze learning data to identify areas for improvement and enhance course effectiveness.
- Develop and deliver training on online teaching tools and strategies.
- Manage the online learning environment, ensuring smooth operation and user experience.
- Foster a supportive and inclusive online learning community.
- Bachelor's degree in Education, Instructional Design, Educational Technology, or a related field. Master's degree preferred.
- Minimum of 4 years of experience in instructional design, online teaching, or educational technology.
- Proven experience with Learning Management Systems (LMS) such as Moodle, Blackboard, or Canvas.
- Proficiency in multimedia development tools (e.g., Articulate Storyline, Adobe Captivate, Camtasia).
- Strong understanding of adult learning principles and online pedagogy.
- Excellent communication, collaboration, and interpersonal skills.
- Ability to work independently and manage multiple projects in a remote setting.
- Demonstrated creativity and problem-solving abilities in designing engaging content.
- Experience with data analysis and reporting on learning outcomes.
Senior Machine Learning Engineer
Posted today
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Responsibilities:
- Design, develop, and implement state-of-the-art machine learning algorithms and models.
- Build robust, scalable, and production-ready ML pipelines for data preprocessing, feature engineering, model training, and deployment.
- Collaborate with cross-functional teams to understand business requirements and translate them into ML solutions.
- Optimize model performance, efficiency, and scalability.
- Conduct thorough testing and validation of ML models.
- Stay current with the latest advancements in machine learning, deep learning, and AI research.
- Contribute to the architecture and design of ML systems and infrastructure.
- Mentor junior engineers and share knowledge within the team.
- Develop and maintain clear documentation for ML models and systems.
- Evaluate and integrate new ML technologies and tools.
- Present findings and results to technical and non-technical stakeholders.
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of hands-on experience in machine learning engineering and software development.
- Proficiency in programming languages such as Python, Java, or C++.
- Extensive experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of deep learning architectures, natural language processing (NLP), and computer vision.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Solid understanding of data structures, algorithms, and software design principles.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Must be able to work on-site in Bandung, West Java, ID .
Principal Machine Learning Engineer
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Key Responsibilities:
- Design, develop, and deploy scalable machine learning models and systems.
- Lead the architecture of end-to-end ML pipelines.
- Mentor and guide junior machine learning engineers.
- Collaborate with data scientists and product managers on ML initiatives.
- Optimize ML model performance and ensure production readiness.
- Implement MLOps best practices for model deployment and monitoring.
- Select appropriate ML tools and frameworks for project needs.
- Contribute to the strategic direction of ML development within the company.
Qualifications:
- Master's/Ph.D. in CS, ML, AI, or related field.
- 8+ years of software engineering experience, 5+ in ML.
- Expertise in Python/Java/C++ and ML frameworks (TensorFlow, PyTorch).
- Proven experience delivering production ML systems at scale.
- Strong knowledge of MLOps, Docker, Kubernetes.
- Experience with cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving and leadership skills.
- Strong communication and interpersonal abilities.
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Curriculum Developer - Online Learning
Posted today
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Key Responsibilities:
- Design and develop comprehensive curricula and learning materials for online courses.
- Create engaging and interactive educational content, including lesson plans, presentations, videos, and assessments.
- Collaborate with subject matter experts to ensure content accuracy and relevance.
- Apply instructional design principles (e.g., ADDIE, SAM) to create effective learning experiences.
- Develop assessment strategies to measure learning outcomes and provide feedback.
- Ensure all learning materials are accessible and adhere to universal design principles.
- Utilize learning management systems (LMS) and other educational technologies.
- Evaluate the effectiveness of curricula and make revisions as needed based on feedback and data.
- Stay updated on the latest trends in online education and instructional design.
- Manage multiple curriculum development projects simultaneously.
Qualifications:
- Bachelor's degree in Education, Instructional Design, Curriculum Development, or a related field. Master's degree preferred.
- Minimum of 3 years of experience in curriculum development or instructional design, with a focus on online learning.
- Proven ability to create engaging and effective educational content.
- Strong understanding of adult learning principles and instructional design methodologies.
- Experience with Learning Management Systems (LMS) such as Moodle, Blackboard, or Canvas.
- Excellent written and verbal communication skills.
- Proficiency in multimedia tools and e-learning software (e.g., Articulate Storyline, Adobe Captivate).
- Ability to work collaboratively in a hybrid environment.
- Strong project management and organizational skills.
- Experience in (Specify relevant subject area, e.g., STEM, Humanities, Business) is a plus.
Senior Machine Learning Engineer
Posted today
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As a Senior Machine Learning Engineer, you will be responsible for designing, building, and deploying machine learning models and systems that solve complex problems. You will work on the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. This role requires a strong background in machine learning algorithms, deep learning frameworks, and software engineering best practices. You will collaborate with data scientists and other engineers to bring AI solutions to life.
Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Build and maintain scalable machine learning pipelines and infrastructure.
- Perform data preprocessing, feature engineering, and model training.
- Evaluate model performance and optimize for accuracy, efficiency, and scalability.
- Deploy machine learning models into production environments.
- Collaborate with data scientists to translate research into production-ready solutions.
- Write high-quality, well-documented, and testable code.
- Stay up-to-date with the latest advancements in machine learning and AI.
- Troubleshoot and resolve issues in deployed ML systems.
- Contribute to the architecture and design of ML systems.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering or a related role.
- Proficiency in programming languages such as Python and associated libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Strong understanding of machine learning algorithms, statistical modeling, and deep learning concepts.
- Experience with MLOps practices and tools.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work independently and manage projects effectively in a remote setting.
Remote Machine Learning Engineer
Posted today
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Job Description
Key Responsibilities:
- Design, develop, and implement production-ready machine learning models and algorithms.
- Collaborate with data scientists and researchers to translate ML models into robust software solutions.
- Build and maintain scalable ML pipelines for data preprocessing, feature engineering, model training, and evaluation.
- Deploy ML models into production environments and monitor their performance.
- Optimize ML models for speed, efficiency, and accuracy.
- Work with big data technologies and cloud platforms (e.g., AWS, Azure, GCP) for ML deployment and scaling.
- Develop and maintain codebases for ML projects, ensuring code quality and maintainability.
- Stay updated with the latest advancements in machine learning, MLOps, and related technologies.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- Contribute to the design and architecture of ML systems.
- Create documentation for ML models, pipelines, and deployed systems.
- Conduct experiments to test and validate different ML approaches.
- Collaborate with cross-functional teams to understand business requirements and integrate ML solutions.
- Ensure the ethical and responsible implementation of machine learning.
- Perform feature engineering and data wrangling to prepare data for model training.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- Proven experience as a Machine Learning Engineer or in a similar role.
- Strong programming skills in Python, including experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with MLOps tools and practices for model deployment, monitoring, and management.
- Proficiency in SQL and experience working with databases.
- Familiarity with cloud computing platforms (AWS, Azure, GCP) and their ML services.
- Solid understanding of machine learning algorithms, statistical modeling, and data structures.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Ability to work independently and manage projects effectively in a remote environment.
- Strong communication and teamwork skills.
- Experience with containerization technologies (e.g., Docker, Kubernetes) is beneficial.