1 234 Learning Team jobs in Bahrain

• Lead the design, development, and implementation of advanced machine learning and deep learning models.
• Research and evaluate new AI technologies and methodologies to solve complex business problems.
• Develop scalable and efficient AI pipelines for data preprocessing, model training, and deployment.
• Collaborate with cross-functional teams (data scientists, software engineers, product managers) to integrate AI solutions into products and services.
• Mentor and guide junior AI engineers and data scientists.
• Stay current with the latest research papers and industry trends in AI, ML, and DL.
• Optimize model performance, accuracy, and efficiency.
• Contribute to the technical roadmap and strategy for AI initiatives.
• Develop and maintain robust documentation for AI models and systems.
• Present technical findings and project progress to stakeholders.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 6-8 years of hands-on experience in developing and deploying machine learning and deep learning models.
• Proficiency in programming languages such as Python, and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong understanding of algorithms, data structures, and software engineering best practices.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical and problem-solving skills.
• Strong communication and leadership abilities, with the capacity to mentor and guide a team.
• Proven ability to translate complex technical concepts into actionable insights.
• Experience in developing AI solutions for real-world applications.

• Lead the design, development, and deployment of advanced Machine Learning and Deep Learning models for complex business problems.
• Architect scalable and robust AI systems, from data pipelines and feature engineering to model training and inference.
• Conduct research into novel AI techniques and algorithms, assessing their applicability and potential impact.
• Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to define AI strategy and roadmaps.
• Mentor and guide junior AI engineers, fostering technical growth and best practices within the team.
• Stay at the cutting edge of AI research and development, evaluating and integrating new tools and technologies.
• Ensure the ethical and responsible development and deployment of AI solutions.
• Optimize ML models for performance, efficiency, and scalability in production environments.
• Develop and maintain comprehensive documentation for AI models, algorithms, and systems.
• Present findings and technical insights to stakeholders at various levels of the organization.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 8 years of progressive experience in AI/ML engineering, with a significant focus on Deep Learning.
• Proven track record of successfully developing and deploying production-grade ML/DL models using frameworks such as TensorFlow, PyTorch, or Keras.
• Deep understanding of statistical modeling, algorithms, and data mining techniques.
• Expertise in areas such as natural language processing (NLP), computer vision, reinforcement learning, or predictive analytics.
• Proficiency in programming languages like Python and experience with relevant libraries (e.g., scikit-learn, Pandas, NumPy).
• Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent leadership, communication, and collaboration abilities.
• Experience with MLOps principles and tools for managing the ML lifecycle is a plus.

A Learning & Development Manager will act as a change catalyst for cultural and organizational transformation through the development of function excellence among Team Members.

What will I be doing?
As a Learning & Development Manager, you serve as an integral component of the Human Resources function by supporting learning and development initiatives through Hilton's comprehensive training framework. Specifically, a Learning & Development Manager will perform the following tasks to the highest standards:

• Support departments in developing cutting edge functional excellence and in developing leadership capabilities
• Act as a change catalyst in the cultural and organizational transformation of the Hotel
• Provide key input of Training aspects for all activities and plans of the Hotel
• Support individual and team development, career development, and training and experience-based learning
• Induct, coach, and mentor new Team Members
• Interact with hotel leaders responsible for people development on a daily basis to provide support to operational departments
• Partner with department to deliver training programs and other organizational and leadership development interventions
• Monitor and conduct learning and development reviews with each department
• Prepare annual training plans and training calendars for the hotel

What are we looking for?
A Learning & Development Manager serving Hilton brands is always working on behalf of our Guests and working with other Team Members. To successfully fill this role, you should maintain the attitude, behaviours, skills, and values that follow:

• Thorough knowledge of modern learning and development tools and technique
• Excellent communication and presentation skills
• Excellent people management skills
• Demonstrated ability to develop interpersonal relationships
• Positive attitude
• Committed to delivering a high level of customer service, both internally and externally
• Excellent grooming standards
• Flexibility to respond to a range of different work situations
• Ability to work under pressure
• Ability to work on their own or in teams
• Proficiency, at an intermediate level, with computers and computer programs, including Microsoft Word, PowerPoint
• Exceptional presentation and grooming

It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:

• Tertiary qualifications, or other collegiate-level degree, in Training or Human Resources

What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision "to fill the earth with the light and warmth of hospitality" unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all

Work Locations
Hilton Bahrain City Centre Hotel & Residences

Schedule
Full-time

Brand
Hilton Hotels & Resorts

Job
Human Resources

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

• Design, develop, and implement machine learning models and algorithms.
• Preprocess, clean, and analyze large datasets for model training.
• Perform feature engineering and selection to enhance model performance.
• Train, evaluate, and optimize machine learning models.
• Deploy models into production environments and monitor their performance.
• Collaborate with data scientists and software engineers on AI initiatives.
• Research and stay current with the latest advancements in machine learning and AI.
• Develop and maintain ML pipelines and infrastructure.
• Troubleshoot and debug machine learning systems.
• Document model designs, methodologies, and results.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related field.
• 3-5 years of experience in machine learning engineering or a similar role.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Strong understanding of various machine learning algorithms (e.g., supervised, unsupervised, deep learning).
• Experience with cloud platforms (AWS, Azure, GCP) for ML development is desirable.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Experience in MLOps and model deployment is a significant advantage.
• Ability to work effectively in a hybrid work environment.

• Design, build, and maintain production-ready machine learning models and pipelines.
• Collaborate with data scientists to translate ML models into scalable software solutions.
• Develop and implement strategies for data preprocessing, feature engineering, and model training.
• Optimize ML algorithms for performance, efficiency, and scalability.
• Deploy ML models into production environments and monitor their performance over time.
• Work with software engineering teams to integrate ML capabilities into existing products and services.
• Develop automated testing and validation procedures for ML models.
• Stay current with the latest advancements in machine learning, deep learning, and MLOps.
• Troubleshoot and resolve issues related to model performance and data integrity.
• Contribute to the continuous improvement of our ML infrastructure and best practices.
• Document ML models, code, and deployment processes clearly.

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
• Minimum of 3 years of experience as a Machine Learning Engineer or in a similar role.
• Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in data manipulation and analysis tools (e.g., Pandas, SQL).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with MLOps principles and tools for model deployment and monitoring.
• Solid understanding of machine learning algorithms and statistical modeling.
• Excellent problem-solving and analytical skills.
• Good communication skills and ability to work effectively in a team environment.
• Experience with big data technologies (e.g., Spark) is a plus.

• Develop, implement, and deploy machine learning models and algorithms for various applications.
• Design and build data pipelines for training, testing, and deploying ML models efficiently.
• Collaborate with data scientists and researchers to productionize research prototypes.
• Optimize ML models for performance, scalability, and efficiency in production environments.
• Implement and maintain MLOps practices, including model monitoring, versioning, and automated retraining.
• Work with large, complex datasets, ensuring data quality and integrity.
• Develop APIs and services to integrate ML models into existing applications and platforms.
• Evaluate and select appropriate ML frameworks, tools, and technologies.
• Troubleshoot and debug ML systems, identifying and resolving issues in production.
• Stay up-to-date with the latest advancements in machine learning and software engineering best practices.
• Document ML models, pipelines, and deployment processes.
• Contribute to the overall architecture and design of AI-powered solutions.
• Collaborate with software engineers to integrate ML components into larger systems.

• Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related quantitative field, or equivalent practical experience.
• Proven experience as a Machine Learning Engineer or in a similar role focused on deploying ML models.
• Strong programming skills in Python and proficiency with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
• Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
• Solid understanding of software development best practices, including version control (Git), CI/CD, and testing.
• Experience with data processing frameworks (e.g., Spark, Dask) and database technologies.
• Knowledge of MLOps principles and tools is highly desirable.
• Excellent analytical and problem-solving skills.
• Strong communication and teamwork abilities.
• Ability to work effectively in a fast-paced, collaborative environment.

• Facilitate online discussions and engage students in learning activities.
• Respond to student inquiries and provide timely academic support.
• Grade assignments and provide constructive feedback.
• Monitor student progress and identify individuals needing intervention.
• Maintain a positive and supportive online learning environment.
• Communicate effectively with students and course instructors.
• Assist in the development of online learning materials.
• Ensure adherence to course policies and academic integrity standards.
• Keep accurate records of student interactions and progress.
• Contribute to improving online course delivery based on student feedback.

• Bachelor's degree in a relevant academic field. Master's degree preferred.
• Previous experience in teaching, tutoring, or online facilitation.
• Strong subject matter expertise in the area being facilitated.
• Excellent written and verbal communication skills.
• Proficiency with Learning Management Systems (LMS).
• Ability to work independently and manage time effectively.
• Patient, encouraging, and student-centered approach.
• Reliable internet access and a suitable remote work environment.
• Familiarity with online collaboration tools is a plus.