458 E Learning jobs in Bahrain
Machine Learning Engineer
778 Southern, Southern
BHD95000 Annually
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Our client is a leader in AI and emerging technologies, seeking a talented Machine Learning Engineer to join their innovative team. This role offers a hybrid work arrangement based in **Nuwaidrat, Southern, BH**, allowing for a blend of in-office collaboration and remote work. You will be responsible for designing, building, and deploying machine learning models and pipelines that solve complex business problems. This involves working with large datasets, implementing cutting-edge algorithms, and ensuring the scalability and reliability of ML solutions. The ideal candidate will have a strong background in computer science, statistics, and machine learning, with hands-on experience in deploying ML models into production environments.
Responsibilities:
Qualifications:
Responsibilities:
- Develop, train, and deploy machine learning models using various algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Build and maintain scalable machine learning pipelines for data processing, feature engineering, and model evaluation.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Monitor model performance in production and implement strategies for continuous improvement and retraining.
- Perform data analysis and feature engineering to enhance model accuracy.
- Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
- Design and implement experiments to test hypotheses and evaluate model performance.
- Ensure the responsible and ethical use of AI and machine learning technologies.
- Optimize ML models for performance, scalability, and efficiency.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
- Troubleshoot and resolve issues related to ML model deployment and performance.
- Contribute to the documentation of ML models, pipelines, and processes.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
- Minimum of 4 years of experience in machine learning engineering or a related role.
- Strong programming skills in Python and experience with ML libraries.
- Proven experience in building and deploying machine learning models in production.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with SQL and NoSQL databases.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills.
- Ability to work effectively in a hybrid work environment.
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0
Online Learning Specialist
500 Diplomatic Area
BHD50000 Annually
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We are seeking a dedicated Online Learning Specialist to contribute to our client's educational outreach programs, operating entirely remotely. This role focuses on supporting and enhancing the delivery of online educational content, ensuring a positive and effective learning experience for students. You will work closely with instructors and students, providing technical and pedagogical support, managing the learning environment, and contributing to the continuous improvement of our online courses.
Key Responsibilities:
Key Responsibilities:
- Provide technical and instructional support to online instructors and students using the Learning Management System (LMS) and other online learning tools.
- Assist instructors in uploading course materials, creating assignments, and setting up online assessments.
- Monitor online course activities, ensuring smooth operation and addressing any technical issues promptly.
- Facilitate communication between students and instructors, fostering an engaged learning community.
- Develop and maintain user guides, tutorials, and FAQs for online learning platforms and tools.
- Assist in the creation and management of online course content, ensuring adherence to quality standards.
- Support the administration of online assessments and grade management.
- Analyze user feedback and course data to identify areas for improvement in the online learning experience.
- Collaborate with the instructional design team on new course development and existing course revisions.
- Stay updated on best practices in online education and learning technologies.
- Manage user accounts and access permissions within the LMS.
- Troubleshoot and resolve technical problems encountered by users in the online learning environment.
- Bachelor's degree in Education, Information Technology, or a related field.
- Minimum of 2-4 years of experience in an online learning support, educational technology, or similar role.
- Proficiency with Learning Management Systems (LMS) such as Moodle, Canvas, Blackboard, or similar platforms.
- Strong understanding of online pedagogy and instructional design principles.
- Excellent technical troubleshooting and problem-solving skills.
- Exceptional communication, interpersonal, and customer service skills.
- Ability to work independently and manage tasks effectively in a remote setting.
- Detail-oriented with strong organizational and time management abilities.
- Experience with multimedia content creation tools is a plus.
- Knowledge of various educational technologies and platforms.
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1
Machine Learning Engineer
44230 Al Hidd
BHD90000 Annually
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Our client is looking for an innovative and highly skilled Machine Learning Engineer to contribute to cutting-edge projects in Budaiya, Northern, BH . This role involves the design, development, and deployment of advanced machine learning models and algorithms. You will work on challenging problems across various domains, leveraging large datasets to extract valuable insights and build intelligent systems. Responsibilities include data preprocessing, feature engineering, model selection, training, evaluation, and deployment. You will stay abreast of the latest advancements in AI and ML, implementing state-of-the-art techniques to solve complex business challenges. Collaboration with data scientists, software engineers, and product managers is key to ensure successful integration of ML solutions into existing platforms. The ideal candidate possesses a strong foundation in computer science, mathematics, and statistics, with hands-on experience in popular ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Proficiency in programming languages like Python is essential, along with experience in big data technologies and cloud platforms (AWS, Azure, GCP). We seek a proactive individual with a passion for innovation, a keen eye for detail, and the ability to translate complex technical concepts into actionable solutions. Join us in pushing the boundaries of AI and making a significant impact.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Preprocess, clean, and engineer features from large, complex datasets.
- Train, evaluate, and optimize ML models for performance and accuracy.
- Deploy ML models into production environments using MLOps practices.
- Collaborate with data scientists and engineers to integrate ML solutions.
- Research and apply the latest AI and ML techniques and technologies.
- Develop and maintain documentation for ML models and pipelines.
- Monitor model performance in production and retrain as needed.
- Contribute to the development of AI strategy and roadmap.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- 3+ years of experience in machine learning engineering or data science with a focus on applied ML.
- Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Solid understanding of statistical modeling, data mining, and machine learning algorithms.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
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2
Machine Learning Engineer
20901 Seef, Capital
BHD120000 Annually
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Our client, a forward-thinking technology company at the forefront of AI innovation, is actively seeking a talented and experienced Machine Learning Engineer to contribute to cutting-edge projects in Jidhafs, Capital, BH . This role is pivotal in designing, developing, and deploying advanced machine learning models and algorithms that solve complex business challenges. The ideal candidate will possess a strong foundation in computer science, mathematics, and statistics, coupled with hands-on experience in building and deploying ML systems. You will be responsible for data preprocessing, feature engineering, model training, evaluation, and deployment, working with large datasets and state-of-the-art ML frameworks. This position requires expertise in programming languages such as Python, and familiarity with ML libraries like TensorFlow, PyTorch, or scikit-learn. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML solutions into production environments. The successful candidate will have a deep understanding of various ML techniques, including supervised, unsupervised, and deep learning. This is an exceptional opportunity for a passionate individual to work on challenging problems, contribute to groundbreaking research, and impact the future of artificial intelligence. We are looking for a proactive problem-solver with a strong aptitude for learning and adapting to new technologies. Your ability to translate complex technical concepts into practical solutions and your commitment to ethical AI practices will be highly valued. Your work will be instrumental in driving innovation and creating intelligent systems that transform industries.
Responsibilities:
Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Perform data preprocessing, feature engineering, and data analysis to prepare datasets for model training.
- Train, evaluate, and optimize machine learning models for performance and accuracy.
- Deploy machine learning models into production environments.
- Collaborate with data scientists and software engineers to integrate ML solutions into existing systems.
- Stay current with the latest advancements in AI and machine learning research and techniques.
- Develop and maintain robust MLOps pipelines for model deployment and monitoring.
- Conduct experiments and research to explore new ML approaches.
- Write clean, efficient, and well-documented code.
- Communicate technical findings and model performance to stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 4-6 years of experience in machine learning engineering or data science.
- Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid understanding of statistical modeling, algorithms, and machine learning concepts.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Proven experience in data preprocessing, feature engineering, and model evaluation.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with big data technologies (e.g., Spark) is a plus.
- Published research in reputable ML conferences or journals is a plus.
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3
Machine Learning Engineer
00170 Zallaq, Southern
BHD125000 Annually
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Our client is seeking a highly skilled Machine Learning Engineer to join their innovative team focused on developing advanced AI solutions in **Zallaq, Southern, BH**. This role is critical for designing, building, and deploying sophisticated machine learning models that drive business intelligence and create impactful applications. The ideal candidate will have a strong background in statistical modeling, deep learning, and a passion for leveraging data to solve complex problems.
Key Responsibilities:
Qualifications:
This position offers a highly competitive salary, comprehensive benefits package, and the opportunity to work on groundbreaking AI projects.
Key Responsibilities:
- Design, develop, train, and deploy machine learning models and algorithms.
- Implement and manage data pipelines for model training and evaluation.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Optimize model performance for accuracy, scalability, and efficiency.
- Stay up-to-date with the latest advancements in machine learning, deep learning, and AI research.
- Develop robust testing and validation strategies for ML models.
- Monitor deployed models for performance drift and implement retraining strategies.
- Work with large datasets, performing feature engineering and selection.
- Contribute to the architectural design of ML platforms and infrastructure.
- Document model development processes, findings, and deployment procedures.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering or data science with a focus on model development and deployment.
- Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, Scikit-learn, Pandas).
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Solid understanding of various ML algorithms, including supervised, unsupervised, and deep learning techniques.
- Experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration abilities.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Ability to work effectively in a fast-paced, dynamic environment.
This position offers a highly competitive salary, comprehensive benefits package, and the opportunity to work on groundbreaking AI projects.
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4
Machine Learning Engineer
231 Hamala, Northern
BHD125000 Annually
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We are looking for a skilled Machine Learning Engineer to contribute to the development of advanced AI solutions for a forward-thinking company located in Sanad, Capital, BH . This role will involve building, training, and deploying machine learning models, and integrating them into production systems.
Key responsibilities include developing robust and scalable machine learning pipelines, from data preprocessing and feature engineering to model evaluation and deployment. You will collaborate with data scientists and software engineers to implement and optimize ML algorithms. Ensuring the performance, accuracy, and reliability of deployed models will be a core duty. You will also be responsible for monitoring model performance in production, identifying drift, and implementing retraining strategies. Contributing to the design and development of ML infrastructure and tooling is expected. Staying current with state-of-the-art ML techniques and contributing to the team's knowledge base are essential. You will also participate in code reviews and contribute to documentation.
The ideal candidate will hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field. Proven experience in building and deploying machine learning models in a production environment is required. Proficiency in programming languages such as Python, and experience with ML libraries and frameworks like Scikit-learn, TensorFlow, or PyTorch, are mandatory. Strong understanding of data structures, algorithms, and software engineering best practices is essential. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is highly desirable. Excellent analytical, problem-solving, and communication skills are crucial. Join our innovative team and help us build the next generation of AI-powered products.
Key responsibilities include developing robust and scalable machine learning pipelines, from data preprocessing and feature engineering to model evaluation and deployment. You will collaborate with data scientists and software engineers to implement and optimize ML algorithms. Ensuring the performance, accuracy, and reliability of deployed models will be a core duty. You will also be responsible for monitoring model performance in production, identifying drift, and implementing retraining strategies. Contributing to the design and development of ML infrastructure and tooling is expected. Staying current with state-of-the-art ML techniques and contributing to the team's knowledge base are essential. You will also participate in code reviews and contribute to documentation.
The ideal candidate will hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field. Proven experience in building and deploying machine learning models in a production environment is required. Proficiency in programming languages such as Python, and experience with ML libraries and frameworks like Scikit-learn, TensorFlow, or PyTorch, are mandatory. Strong understanding of data structures, algorithms, and software engineering best practices is essential. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is highly desirable. Excellent analytical, problem-solving, and communication skills are crucial. Join our innovative team and help us build the next generation of AI-powered products.
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5
Senior Machine Learning Engineer
715 Al Jasra
BHD140000 Annually
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Our client, a pioneering technology company specializing in AI-driven solutions, is seeking an accomplished Senior Machine Learning Engineer to join their remote workforce. This role offers a unique opportunity to architect, build, and deploy sophisticated machine learning models that power innovative products and services. You will be a key contributor to the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment in production environments. Responsibilities include collaborating with data scientists and software engineers to integrate ML models into scalable applications, optimizing model performance for speed and accuracy, and developing robust MLOps pipelines for continuous integration and deployment. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Engineering, or a related field, with extensive hands-on experience in developing and deploying machine learning solutions. Strong programming skills in Python and proficiency with ML libraries such as Scikit-learn, TensorFlow, or PyTorch are essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. You should have a solid understanding of software engineering best practices, including version control (Git) and testing methodologies. Exceptional problem-solving skills and the ability to communicate complex technical concepts effectively are crucial for this role, particularly in a remote collaboration setting. If you are a seasoned ML professional eager to work on challenging projects and shape the future of AI remotely, we encourage your application.
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6
Senior Online Learning Facilitator
203 Busaiteen, Muharraq
BHD70000 Annually
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Our client is looking for an experienced and engaging Senior Online Learning Facilitator to enhance their digital education programs. This vital role is responsible for guiding and supporting learners through online courses, fostering an interactive and productive learning environment. As an Online Learning Facilitator, you will engage with students through discussion forums, live webinars, and personalized feedback, ensuring they achieve their learning objectives. You will monitor student progress, provide timely academic support, and address any challenges students may encounter in the online learning setting. This position requires excellent communication skills, a strong understanding of adult learning principles, and the ability to motivate and inspire students in a remote context. You will also contribute to the continuous improvement of course materials and facilitation strategies by providing valuable feedback to instructional designers and faculty. A Bachelor's degree in education or a relevant field, along with proven experience in online teaching or facilitation, is required. Familiarity with Learning Management Systems (LMS) and virtual classroom technologies is essential. The ideal candidate is passionate about education, possesses strong organizational skills, and thrives in a collaborative, remote-first work environment. If you are dedicated to student success and excited about making a difference in online education from your home base near **Busaiteen, Muharraq, BH**, we want to hear from you.
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7
Senior Machine Learning Engineer
55566 Hamad Town, Northern
BHD110000 Annually
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Hamad Town, Northern, BH
Our client, a cutting-edge technology company specializing in AI-driven solutions, is seeking a Senior Machine Learning Engineer to join their fully remote, globally distributed team. This role is pivotal in developing and deploying advanced machine learning models that power our client's innovative products and services. You will work on challenging problems, leveraging large datasets to build, train, and optimize predictive models. As a Senior ML Engineer, you will be responsible for the end-to-end machine learning pipeline, from data preprocessing and feature engineering to model deployment and monitoring. Key responsibilities include researching and implementing state-of-the-art ML algorithms, developing robust and scalable ML systems, and collaborating with data scientists and software engineers to integrate ML capabilities into production environments. The ideal candidate will have extensive experience in machine learning, deep learning, and MLOps, with a strong foundation in software engineering principles. Proficiency in Python, along with deep experience in ML frameworks like TensorFlow, PyTorch, or scikit-learn, is essential. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is highly valued. A Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field is preferred. Excellent problem-solving skills, a passion for innovation, and the ability to work independently and communicate effectively in a remote setting are critical. Join our client and contribute to building intelligent systems that are transforming industries.
Responsibilities:
Our client, a cutting-edge technology company specializing in AI-driven solutions, is seeking a Senior Machine Learning Engineer to join their fully remote, globally distributed team. This role is pivotal in developing and deploying advanced machine learning models that power our client's innovative products and services. You will work on challenging problems, leveraging large datasets to build, train, and optimize predictive models. As a Senior ML Engineer, you will be responsible for the end-to-end machine learning pipeline, from data preprocessing and feature engineering to model deployment and monitoring. Key responsibilities include researching and implementing state-of-the-art ML algorithms, developing robust and scalable ML systems, and collaborating with data scientists and software engineers to integrate ML capabilities into production environments. The ideal candidate will have extensive experience in machine learning, deep learning, and MLOps, with a strong foundation in software engineering principles. Proficiency in Python, along with deep experience in ML frameworks like TensorFlow, PyTorch, or scikit-learn, is essential. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is highly valued. A Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field is preferred. Excellent problem-solving skills, a passion for innovation, and the ability to work independently and communicate effectively in a remote setting are critical. Join our client and contribute to building intelligent systems that are transforming industries.
Responsibilities:
- Design, build, and maintain scalable machine learning systems.
- Develop and implement advanced ML models and algorithms.
- Perform data preprocessing, feature engineering, and model evaluation.
- Deploy ML models into production environments (MLOps).
- Collaborate with data scientists and software engineers.
- Optimize ML models for performance and efficiency.
- Monitor deployed models and retrain as necessary.
- Research and apply new ML techniques and technologies.
- Contribute to the company's AI strategy and roadmap.
- Master's or PhD in Computer Science, AI, or a related field.
- Extensive experience in Machine Learning and Deep Learning.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with MLOps practices and tools.
- Strong software engineering skills.
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Knowledge of containerization (Docker, Kubernetes).
- Excellent analytical and problem-solving abilities.
- Proven ability to work independently in a remote team.
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8
Senior Machine Learning Engineer
1300 Hamad Town, Northern
BHD135000 Annually
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Job Description
Our client is a leader in AI innovation, seeking a highly skilled Senior Machine Learning Engineer to contribute to the development of cutting-edge artificial intelligence solutions. This is a fully remote role where you will design, build, and deploy advanced machine learning models that solve complex business problems. You will work with large datasets, collaborate with data scientists and software engineers, and play a key role in advancing our AI capabilities. The ideal candidate possesses a strong background in machine learning algorithms, deep learning frameworks, and proficiency in programming languages such as Python.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Process and analyze large datasets to extract meaningful insights.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Build and maintain data pipelines for training and deploying ML models.
- Evaluate and improve the performance and scalability of ML models.
- Stay current with the latest research and advancements in machine learning and AI.
- Develop robust testing and validation strategies for ML models.
- Contribute to the development of MLOps practices and tools.
- Mentor junior engineers and share knowledge within the team.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering or a related role.
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of various ML algorithms, including supervised, unsupervised, and deep learning.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Excellent analytical, problem-solving, and communication skills.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Ability to work independently and collaboratively in a remote team environment.
This advertiser has chosen not to accept applicants from your region.
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