1 322 E Learning jobs in Bahrain

• Design, develop, and implement state-of-the-art deep learning models for various applications, including computer vision, natural language processing, and predictive analytics.
• Preprocess, clean, and engineer features from large, complex datasets.
• Train, validate, and optimize deep learning models using various frameworks (e.g., TensorFlow, PyTorch).
• Evaluate model performance and identify areas for improvement.
• Deploy machine learning models into production environments, ensuring scalability and reliability.
• Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver solutions.
• Stay abreast of the latest research and advancements in machine learning and deep learning.
• Contribute to the development of MLOps best practices and pipelines.
• Mentor junior engineers and share knowledge within the team.
• Research and implement novel algorithms and techniques to solve challenging AI problems.

• Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
• Minimum of 7 years of experience in machine learning, with a strong emphasis on deep learning.
• Proven experience in developing and deploying deep learning models in real-world applications.
• Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, scikit-learn.
• Strong understanding of fundamental ML algorithms, statistical modeling, and data mining techniques.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills.
• Experience with MLOps principles and tools is a significant plus.

• Design, develop, and implement deep learning models and algorithms.
• Build and maintain robust ML pipelines for training, evaluation, and deployment.
• Optimize model performance for efficiency and accuracy.
• Deploy machine learning models into production environments using MLOps best practices.
• Collaborate with cross-functional teams to integrate ML solutions into products.
• Conduct research on cutting-edge deep learning techniques and apply them to business problems.
• Process and analyze large datasets for model training.
• Stay current with advancements in machine learning and artificial intelligence.
• Write clean, maintainable, and well-documented code.

• Master's or PhD in Computer Science, AI, Machine Learning, or a related quantitative field.
• Minimum of 5 years of experience in machine learning engineering.
• Proven experience in developing and deploying deep learning models.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in Python and relevant ML libraries (e.g., scikit-learn, NumPy, Pandas).
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Strong understanding of data structures, algorithms, and software design principles.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to thrive in a fully remote work environment.

Overview

The teacher will be required to assist teachers of all subjects by providing one-on-one or small group support to students who need extra help with academic, behavioral, or social needs, preparing learning materials, supervising activities, and maintaining records, with duties varying based on the school's and students' specific requirements.

• Provide one-on-one or small group support to students who need extra help with academic, behavioral, or social needs.
• Prepare learning materials, supervise activities, and maintain records in accordance with school requirements.

• Bachelors Degree in Learning Support
• Experience working in an educational institution

• Entry level

• Full-time

• Education and Training

• Primary and Secondary Education

Exciting new opportunities available

• Are you ready to
  run around and play with kids
  , watch them
  grow and learn
  , and feel rewarded by their
  achievements and happiness
  ?
• Do you thrive when
  taking on challenges and seeing your solutions make a difference
  ?

Then be part of "
"
Foster curiosity, nurture creativity, and support lifelong learning from the very beginning.

"

Responsibilities

• Support the lead teacher in delivering
  play-based and child-centered learning activities
  .
• Encourage children's
  independence, creativity, and problem-solving
  through daily routines and exploration.
• Help create a safe, joyful, and inclusive environment that supports
  well-being and holistic growth
  (social, emotional, physical, and cognitive).
• Observe children's learning and development, and share insights with teachers and parents.
• Assist in preparing engaging classroom materials and resources.
• Supervise children during indoor and outdoor play, ensuring safety and active participation.
• Promote positive values such as
  respect, cooperation, and responsibility
  in line with Finnish ECEC principles.

Qualifications

• Diploma or certificate in
  Early Childhood Education
  (Preferred).
• Experience in a preschool, kindergarten, or early years setting (experience with play-based or Finnish curriculum is an advantage).
• Passion for working with young children and supporting their
  well-being, growth, and joy of learning
  .
• Strong communication and teamwork skills.
• Ability to adapt, be flexible, and encourage
  child-led learning experiences
  .
• English & Arabic speaker, only English is accepted as well.

**Learning assistants joining our team will also receive
specialized training from our Finnish partner

to ensure they are fully equipped to support the Finnish approach to early childhood education.

At our preschool, each child is supported in a
safe, inclusive, and inspiring environment
, guided by
experienced educators trained in the Finnish ECEC model
.

Apt Resources is seeking an experienced Machine Learning Engineer for a client in Abu Dhabi's Government & Public Sector. In this role, you will design and deploy cutting-edge AI/ML solutions using Large Language Models (LLMs) like GPT, Llama, and BERT to drive innovation in public services.

This is an exciting opportunity to work on high-impact projects involving Retrieval-Augmented Generation (RAG), fine-tuning, and prompt engineering, ensuring secure, scalable, and compliant AI systems for government applications.

• Develop and optimize AI/ML pipelines for LLMs, focusing on RAG architectures, fine-tuning, and prompt engineering tailored for public sector needs.
• Implement scalable solutions using Python, LangChain, HuggingFace, PyTorch/TensorFlow, and cloud-based ML services (Azure ML preferred).
• Integrate vector/graph databases (Weaviate, Neo4j) into production systems to enhance data retrieval and analysis.
• Deploy and monitor models in production, ensuring adherence to government security and compliance standards.
• Collaborate with cross-functional teams to align AI solutions with public sector objectives (e.g., citizen services, data governance, operational efficiency).

• 6-14 years of hands-on experience in AI/ML, with a strong focus on LLMs and GenAI.
• Expertise in LLM architectures (Transformers), prompt engineering, and RAG implementations.
• Proficiency in Python and ML frameworks (LangChain, LlamaIndex, HuggingFace, Scikit-learn).
• Experience with cloud platforms (Azure ML, AWS, or GCP) and MLOps tools (MLflow, model monitoring).
• Familiarity with vector databases, ETL pipelines, and unstructured data handling.
• Knowledge of government IT standards or secure deployments is a plus.

To be discussed

• Developing and implementing machine learning algorithms and models using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Processing and analyzing large datasets to extract meaningful features and insights.
• Designing, training, and evaluating machine learning models for various applications.
• Deploying machine learning models into production environments.
• Collaborating with software engineers to integrate ML models into existing systems and applications.
• Conducting research on new AI and ML techniques and exploring their potential applications.
• Monitoring and maintaining deployed models, iterating as needed.
• Communicating complex technical concepts and results to both technical and non-technical stakeholders.
• Staying current with academic research and industry trends in machine learning and AI.

• Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience.
• Proven experience in building and deploying machine learning models.
• Strong programming skills in Python and expertise in ML libraries.
• Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps principles.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work effectively in a hybrid work environment.

• 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.

• 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.