838 E Learning jobs in Manama
AI/Machine Learning Engineer - Deep Learning
20211 Busaiteen, Muharraq
BHD80000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client, a leader in AI innovation, is seeking a talented AI/Machine Learning Engineer with a specialization in Deep Learning to join their dynamic team in Busaiteen, Muharraq, BH . This hybrid role offers the exciting opportunity to work on cutting-edge artificial intelligence projects, developing and deploying advanced machine learning models. The ideal candidate will possess a strong foundation in machine learning algorithms, deep learning frameworks, and programming proficiency, coupled with a passion for solving complex problems through data.
Responsibilities:
Qualifications:
This is a compelling opportunity to contribute to transformative AI initiatives and grow your career in a highly innovative field.
Responsibilities:
- Design, develop, and implement deep learning models for various applications (e.g., computer vision, natural language processing, predictive analytics).
- Preprocess and analyze large, complex datasets to extract valuable insights.
- Train, evaluate, and optimize machine learning models to achieve desired performance metrics.
- Deploy machine learning models into production environments, ensuring scalability and reliability.
- Collaborate with software engineers and data scientists to integrate AI solutions into existing products and services.
- Stay current with the latest advancements in AI, machine learning, and deep learning research.
- Conduct research and experimentation to explore new algorithms and techniques.
- Develop and maintain documentation for AI models and processes.
- Contribute to the overall AI strategy and roadmap of the company.
- Troubleshoot and resolve issues related to model performance and deployment.
Qualifications:
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 2-5 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.
- Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
- Familiarity with data preprocessing, feature engineering, and model evaluation methods.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Ability to work effectively in a hybrid team environment.
This is a compelling opportunity to contribute to transformative AI initiatives and grow your career in a highly innovative field.
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0
Lead Machine Learning Engineer - Reinforcement Learning
30303 Bilad Al Qadeem, Capital
BHD140000 Annually
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Posted 5 days ago
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Job Description
Our client, a trailblazer in scientific research and development, is seeking a highly accomplished Lead Machine Learning Engineer specializing in Reinforcement Learning for a fully remote position. You will be instrumental in designing, developing, and deploying sophisticated RL systems that tackle complex real-world challenges. This role demands a deep theoretical understanding of RL algorithms, combined with strong practical engineering skills to build scalable and efficient solutions. Your responsibilities will include architecting RL frameworks, implementing novel algorithms, conducting extensive simulations and experiments, and optimizing model performance for production environments. You will collaborate with research scientists to translate state-of-the-art RL techniques into robust software products. Furthermore, you will mentor junior engineers, contribute to technical strategy, and present findings to internal and external stakeholders. We are looking for candidates with a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, with a minimum of 7 years of experience in machine learning engineering, including significant hands-on work with reinforcement learning. Expertise in deep RL algorithms (e.g., DQN, PPO, SAC), experience with deep learning frameworks (PyTorch, TensorFlow), and proficiency in Python are mandatory. Experience with distributed computing and cloud platforms (AWS, GCP, Azure) is highly desirable. Exceptional problem-solving abilities, strong communication skills, and the capacity to thrive in a fully remote, collaborative team setting are essential. This is an exceptional opportunity to lead innovation in RL and make a significant impact on future technologies, working remotely with a world-class team.
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1
Principal AI Engineer - Machine Learning & Deep Learning
21340 Al Daih, Northern
BHD150000 Annually
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Posted 16 days ago
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Job Description
Our client, a groundbreaking leader in AI and emerging technologies, is looking for a highly skilled Principal AI Engineer to spearhead their advanced research and development initiatives. This position is fully remote, offering a unique opportunity to work on cutting-edge AI solutions from your own environment. You will be responsible for designing, developing, and deploying sophisticated machine learning and deep learning models to solve complex real-world problems. Your expertise will be crucial in driving innovation across various domains, including natural language processing, computer vision, and predictive analytics. Key responsibilities include leading the architecture of AI systems, conducting rigorous experimentation, and optimizing model performance for scalability and efficiency. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to translate business requirements into robust AI solutions. The ideal candidate will hold a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field, with a strong publication record in top-tier conferences or journals. A minimum of 7 years of hands-on experience in developing and deploying AI/ML models in production environments is required. Proven expertise in Python, TensorFlow, PyTorch, and other relevant AI frameworks is essential. Strong understanding of cloud platforms (AWS, Azure, GCP) and distributed computing is highly advantageous. Excellent leadership, communication, and mentoring skills are required, as you will guide and inspire a team of talented AI professionals. If you are passionate about pushing the boundaries of AI and thrive in a collaborative, remote-first environment, we invite you to apply and shape the future of artificial intelligence.
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2
Machine Learning Engineer
90250 Manama, Capital
BHD100000 Annually
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Posted 2 days ago
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Job Description
Our client is seeking a talented Machine Learning Engineer to join their cutting-edge AI development team. This role is based in our office in Manama, Capital, BH . You will be instrumental in designing, building, and deploying machine learning models and systems that drive innovative solutions. The ideal candidate has a strong foundation in machine learning algorithms, excellent programming skills, and a passion for translating complex data into actionable insights. You will work closely with data scientists, software engineers, and product managers to bring AI-powered features to life.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop, train, and evaluate machine learning models using various algorithms and techniques.
- Implement and optimize ML pipelines for data preprocessing, feature engineering, model training, and deployment.
- Collaborate with data scientists to understand model requirements and performance metrics.
- Build and maintain scalable ML infrastructure and systems.
- Deploy ML models into production environments, ensuring their reliability and efficiency.
- Monitor model performance in production and implement necessary updates or retrainings.
- Work with large datasets, ensuring data quality and integrity for ML applications.
- Contribute to the design and architecture of AI-powered products and services.
- Stay current with the latest advancements in machine learning and artificial intelligence research.
- Write clean, well-documented, and maintainable code.
- Troubleshoot and resolve issues related to ML models and systems.
- Collaborate with software engineers to integrate ML models into existing applications.
- Present findings and results to technical and non-technical stakeholders.
- Contribute to the company's strategy for leveraging AI and machine learning.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
- 2+ years of professional experience in machine learning engineering or a similar role.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.
- Solid understanding of various ML algorithms (e.g., regression, classification, clustering, deep learning).
- Experience with data processing and manipulation tools (e.g., Pandas, Spark).
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Knowledge of MLOps principles and practices is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Ability to work effectively in a fast-paced, collaborative office environment.
This advertiser has chosen not to accept applicants from your region.
3
Machine Learning Engineer
99999 Zallaq, Southern
BHD110000 Annually
WhatJobs
Posted 11 days ago
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Job Description
Our client is seeking an innovative and highly skilled Machine Learning Engineer to join their cutting-edge AI and Emerging Technologies division in Zallaq, Southern, BH . This role is central to developing, implementing, and deploying advanced machine learning models and algorithms that solve complex business problems and drive innovation. You will work with large datasets, design experiments, and build robust ML pipelines to support research and product development. The ideal candidate possesses a strong background in computer science, statistics, and machine learning, with hands-on experience in deploying models into production environments. You will collaborate closely with data scientists, software engineers, and domain experts to translate business needs into scalable ML solutions. Responsibilities include feature engineering, model selection, training, evaluation, and continuous monitoring. Experience with deep learning frameworks, natural language processing, computer vision, or reinforcement learning is highly desirable. This position offers a hybrid work arrangement, allowing for collaborative in-office sessions and focused remote work. We are looking for a candidate who is passionate about AI, possesses excellent analytical and programming skills, and thrives in a fast-paced, research-oriented environment. You will have the opportunity to contribute to groundbreaking projects and shape the future of AI applications within the organization.
Responsibilities:
Qualifications:
Responsibilities:
- Design, build, and maintain scalable machine learning systems and infrastructure.
- Develop and implement machine learning models using state-of-the-art algorithms.
- Process and analyze large datasets to extract valuable insights.
- Perform feature engineering, model training, evaluation, and optimization.
- Deploy ML models into production environments and monitor their performance.
- Collaborate with data scientists and software engineers to integrate ML solutions.
- Stay current with the latest advancements in AI, machine learning, and deep learning.
- Conduct research and experiments to explore new ML techniques and applications.
- Document ML models, pipelines, and processes.
- Troubleshoot and resolve issues related to ML systems.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 3-5 years of professional experience in machine learning engineering.
- Proficiency in programming languages like Python and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong understanding of algorithms, data structures, and software development principles.
- Excellent analytical, problem-solving, and communication skills.
- Experience in deploying ML models in production.
- Ability to work effectively in a hybrid team setting.
This advertiser has chosen not to accept applicants from your region.
4
Machine Learning Engineer
22330 Al Daih, Northern
BHD140000 Annually
WhatJobs
Posted 11 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking an exceptional Machine Learning Engineer to design, develop, and deploy cutting-edge AI solutions. This is a fully remote position, offering the opportunity to work with a world-class team of researchers and engineers. The Machine Learning Engineer will be responsible for building robust and scalable machine learning models, from data preprocessing and feature engineering to model training, evaluation, and deployment. You will work on diverse projects, leveraging state-of-the-art algorithms and techniques in areas such as natural language processing, computer vision, and predictive analytics. The successful candidate will possess a deep understanding of statistical modeling, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages like Python. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is highly desirable. You will collaborate closely with product managers, data scientists, and software engineers to translate business requirements into effective AI solutions. Strong problem-solving skills, a keen eye for detail, and the ability to research and implement novel approaches are essential. The role also involves staying abreast of the latest advancements in AI and machine learning, contributing to the company's knowledge base, and potentially publishing research findings. This is an unparalleled opportunity to shape the future of AI and work on impactful projects that solve real-world problems. A Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field, along with a minimum of 5 years of hands-on experience in developing and deploying machine learning models, is required. A portfolio of relevant projects is highly recommended.
This advertiser has chosen not to accept applicants from your region.
5
Online Learning Facilitator
77712 Zallaq, Southern
BHD45000 Annually
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
Our client is seeking a dynamic and engaging Online Learning Facilitator to join their expanding educational platform. This part-time, hybrid role involves delivering high-quality instruction and support to students primarily through remote online sessions, with occasional on-site engagement required in Zallaq, Southern, BH . You will be responsible for fostering an interactive and supportive virtual learning environment, guiding students through course material, facilitating discussions, and assessing their progress. The ideal candidate possesses strong pedagogical skills, excellent communication abilities, and a passion for education and student success.
Responsibilities:
Qualifications:
Responsibilities:
- Deliver engaging online lectures, discussions, and interactive activities based on established curriculum.
- Facilitate student learning and engagement in a virtual classroom setting.
- Provide timely and constructive feedback on assignments, discussions, and student performance.
- Respond to student inquiries and provide academic support through various communication channels.
- Monitor student progress and identify students who may need additional support or intervention.
- Collaborate with instructional designers to ensure course content is up-to-date and relevant.
- Participate in faculty development workshops and training sessions, both online and in-person when required.
- Contribute to the continuous improvement of online course delivery and student experience.
- Maintain accurate records of student attendance, grades, and progress.
- Assist with occasional on-site orientation sessions or workshops in Zallaq, Southern, BH .
Qualifications:
- Master's degree in a relevant subject area from an accredited institution.
- Minimum of 3 years of teaching or facilitation experience, preferably in an online or blended learning environment.
- Strong understanding of adult learning principles and online pedagogy.
- Excellent communication, presentation, and interpersonal skills.
- Proficiency with learning management systems (LMS) such as Moodle, Canvas, or Blackboard.
- Experience with video conferencing tools (e.g., Zoom, Microsoft Teams) for live sessions.
- Ability to work independently and manage time effectively in a hybrid work setting.
- A patient and supportive demeanor towards students.
- Reliable internet connection and appropriate home office setup for remote delivery.
- Availability for occasional on-site meetings or training in Zallaq, Southern, BH .
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6
Machine Learning Engineer
1010 Bilad Al Qadeem, Capital
BHD110000 Annually
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Posted 16 days ago
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Job Description
Our client is seeking a talented and experienced Machine Learning Engineer to contribute to their innovative AI development initiatives in **Tubli, Capital, BH**. This role is essential for designing, building, and deploying scalable machine learning models and systems that power advanced AI applications. The Machine Learning Engineer will work closely with data scientists and software engineers to bring cutting-edge AI solutions from concept to production.
Key responsibilities include developing, training, and evaluating machine learning models using various algorithms and frameworks. You will be responsible for optimizing model performance, ensuring scalability, and integrating ML models into existing software systems and production environments. The Machine Learning Engineer will also contribute to data pipeline development, feature engineering, and model deployment strategies. Collaboration with cross-functional teams to understand project requirements, identify challenges, and propose effective ML-driven solutions is paramount. Staying abreast of the latest advancements in machine learning research and applying them to practical problems will be a core aspect of the role.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field, with a specialization in Machine Learning. A minimum of 3-5 years of professional experience in machine learning engineering or a related role is required. Proficiency in programming languages such as Python, along with extensive experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is essential. Strong understanding of software engineering principles, MLOps practices, and experience with cloud platforms (AWS, Azure, GCP) are highly desirable. Excellent problem-solving, analytical, and communication skills are necessary. This hybrid role offers a dynamic work environment in **Tubli, Capital, BH**, with the flexibility to work remotely on certain days, contributing to groundbreaking AI projects.
Key responsibilities include developing, training, and evaluating machine learning models using various algorithms and frameworks. You will be responsible for optimizing model performance, ensuring scalability, and integrating ML models into existing software systems and production environments. The Machine Learning Engineer will also contribute to data pipeline development, feature engineering, and model deployment strategies. Collaboration with cross-functional teams to understand project requirements, identify challenges, and propose effective ML-driven solutions is paramount. Staying abreast of the latest advancements in machine learning research and applying them to practical problems will be a core aspect of the role.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field, with a specialization in Machine Learning. A minimum of 3-5 years of professional experience in machine learning engineering or a related role is required. Proficiency in programming languages such as Python, along with extensive experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is essential. Strong understanding of software engineering principles, MLOps practices, and experience with cloud platforms (AWS, Azure, GCP) are highly desirable. Excellent problem-solving, analytical, and communication skills are necessary. This hybrid role offers a dynamic work environment in **Tubli, Capital, BH**, with the flexibility to work remotely on certain days, contributing to groundbreaking AI projects.
This advertiser has chosen not to accept applicants from your region.
7
Senior Digital Learning Architect
614 Isa Town, Northern
BHD85000 Annually
WhatJobs
Posted today
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Job Description
Our client is seeking a highly motivated and innovative Senior Digital Learning Architect to join our dynamic remote team. This is a fully remote position, offering the flexibility to work from anywhere. You will be instrumental in designing, developing, and implementing cutting-edge digital learning solutions that align with our educational objectives. Your responsibilities will include conceptualizing instructional design strategies, creating engaging multimedia content, and evaluating the effectiveness of learning programs. You will collaborate closely with subject matter experts, instructional designers, and technology specialists to ensure seamless integration of learning technologies and pedagogical approaches. The ideal candidate will possess a strong understanding of adult learning principles, experience with various learning management systems (LMS), and a proven track record in project management for educational initiatives. You will also be responsible for staying abreast of emerging trends in e-learning and instructional technology, and for recommending innovative solutions to enhance the learning experience.
Key Responsibilities:
The ideal candidate must have a Bachelor's degree in Education, Instructional Design, or a related field (Master's preferred). A minimum of 5 years of experience in instructional design and digital learning development is required. Proficiency in authoring tools (e.g., Articulate Storyline, Adobe Captivate) and experience with LMS administration are essential. Excellent communication, collaboration, and problem-solving skills are crucial for this role, as is the ability to work independently and proactively in a remote setting. This role is based in Isa Town, Southern, BH , but is a remote-first position.
Key Responsibilities:
- Lead the design and development of comprehensive digital learning strategies and curricula.
- Create engaging and effective learning materials, including interactive modules, videos, and assessments.
- Collaborate with stakeholders to define learning needs and performance goals.
- Manage multiple learning projects simultaneously, ensuring timely delivery and high quality.
- Evaluate the impact and ROI of learning programs through data analysis and feedback mechanisms.
- Provide guidance and mentorship to junior instructional designers.
- Stay current with best practices in instructional design, adult learning theory, and educational technology.
- Ensure all learning content is accessible and compliant with relevant standards.
The ideal candidate must have a Bachelor's degree in Education, Instructional Design, or a related field (Master's preferred). A minimum of 5 years of experience in instructional design and digital learning development is required. Proficiency in authoring tools (e.g., Articulate Storyline, Adobe Captivate) and experience with LMS administration are essential. Excellent communication, collaboration, and problem-solving skills are crucial for this role, as is the ability to work independently and proactively in a remote setting. This role is based in Isa Town, Southern, BH , but is a remote-first position.
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8
Senior Machine Learning Engineer
20002 Saar, Northern
BHD120000 Annually
WhatJobs
Posted 1 day ago
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Job Description
Our client is looking for a highly skilled Senior Machine Learning Engineer to join their elite, fully remote engineering team. This is a premier opportunity to architect, develop, and deploy cutting-edge machine learning models and systems that drive significant business impact. You will be responsible for the entire ML lifecycle, from data acquisition and preprocessing to model training, evaluation, deployment, and monitoring. The ideal candidate will have a strong foundation in computer science, statistics, and machine learning algorithms, with a proven ability to translate complex business problems into scalable ML solutions. This role demands deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), experience with big data technologies (e.g., Spark, Hadoop), and proficiency in programming languages like Python. You will work on challenging projects involving areas such as natural language processing, computer vision, recommendation systems, or predictive analytics. As a senior member of the team, you will mentor junior engineers, contribute to technical strategy, and collaborate closely with product managers and data scientists. This position requires a Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field, along with a minimum of 6 years of hands-on experience in machine learning development and deployment. Exceptional problem-solving skills, a passion for continuous learning, and the ability to thrive in a fast-paced, remote environment are essential. You must be a proactive communicator, capable of explaining intricate technical concepts to both technical and non-technical audiences. The company is committed to fostering innovation and provides a collaborative, high-performance remote culture. Responsibilities include designing and implementing ML pipelines, optimizing model performance, conducting A/B testing, and ensuring the reliability and scalability of deployed models. You will also be involved in researching and implementing state-of-the-art ML techniques and contributing to the company's intellectual property through patents and publications. This is a chance to work with massive datasets and make a tangible difference through advanced AI and ML applications. The successful candidate will possess strong software engineering skills, including experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Responsibilities:
Responsibilities:
- Design, build, and deploy machine learning models and systems.
- Develop and maintain scalable ML pipelines and infrastructure.
- Perform data preprocessing, feature engineering, and model selection.
- Train, evaluate, and optimize ML models for performance and accuracy.
- Implement and manage model deployment, monitoring, and retraining strategies.
- Collaborate with product teams to understand business needs and translate them into ML solutions.
- Research and apply state-of-the-art machine learning algorithms and techniques.
- Mentor junior machine learning engineers and contribute to team knowledge sharing.
- Optimize ML code and infrastructure for efficiency and scalability.
- Contribute to the technical roadmap and strategy for ML initiatives.
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
- Minimum of 6 years of professional experience in machine learning engineering.
- Expertise in deep learning frameworks (TensorFlow, PyTorch).
- Proficiency in Python and common ML libraries (scikit-learn, pandas, numpy).
- Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of ML algorithms, statistical modeling, and data mining techniques.
- Experience with MLOps practices and tools.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities for remote work.
- Experience with NLP, computer vision, or recommendation systems is a plus.
This advertiser has chosen not to accept applicants from your region.
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