245 Neural Networks jobs in Bahrain

• Design, develop, and implement advanced deep learning models for various applications, including computer vision, natural language processing, and reinforcement learning.
• Build and train sophisticated neural networks using frameworks such as TensorFlow, PyTorch, and Keras.
• Optimize model performance through techniques like hyperparameter tuning, regularization, and efficient architectures.
• Develop and maintain robust data pipelines for training and inference.
• Deploy deep learning models into production environments, ensuring scalability and reliability.
• Collaborate with data scientists and software engineers to integrate AI/ML solutions into products and services.
• Conduct research into new AI/ML techniques and technologies, evaluating their potential applications.
• Write clean, efficient, and well-documented code.
• Stay current with the latest advancements and publications in AI and deep learning.
• Participate in code reviews and contribute to the team's best practices.
• Present technical findings and project updates to stakeholders.

• Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 6 years of experience in AI/ML engineering, with a significant focus on deep learning.
• Proven experience in developing and deploying deep learning models in real-world applications.
• Expertise in Python and deep learning libraries (TensorFlow, PyTorch, Keras).
• Strong understanding of machine learning algorithms, statistical modeling, and data structures.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
• Excellent problem-solving skills and a passion for innovation.
• Strong communication and collaboration skills, suitable for remote teamwork.
• Ability to work independently and manage project timelines effectively.
• Experience with distributed training and parallel computing is advantageous.

• Conduct cutting-edge research in deep learning and artificial intelligence.
• Develop, implement, and evaluate novel deep learning models and algorithms.
• Work with large-scale datasets for training and testing AI models.
• Collaborate with a team of researchers and engineers to advance AI projects.
• Publish research findings in leading AI conferences and journals.
• Contribute to the development of AI products and solutions.
• Stay current with the latest advancements in AI and machine learning.
• Mentor junior researchers and contribute to the team's knowledge sharing.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven track record of research in deep learning, with publications in top-tier venues.
• Expertise in Python and major deep learning frameworks (TensorFlow, PyTorch, Keras).
• Strong understanding of machine learning theory, algorithms, and statistical modeling.
• Experience with various neural network architectures (CNNs, RNNs, Transformers).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and collaboration skills for remote teamwork.
• Experience with cloud platforms (AWS, GCP, Azure) is a plus.

• Conduct advanced research in deep learning architectures, including CNNs, RNNs, Transformers, and GANs.
• Develop and implement state-of-the-art machine learning models and algorithms.
• Collaborate with cross-functional teams to translate research findings into practical applications and product features.
• Analyze and interpret large datasets to extract meaningful insights and identify patterns.
• Stay abreast of the latest advancements in AI and machine learning research through continuous learning and participation in academic conferences.
• Publish research findings in top-tier academic journals and present at international conferences.
• Mentor junior researchers and contribute to the growth of the AI research community within the organization.
• Ensure the ethical and responsible development and deployment of AI systems.
• Contribute to the development of intellectual property through patents and publications.
• Propose and lead innovative research projects from conception to completion.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and development in deep learning with significant contributions to the field.
• Proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Strong understanding of mathematical concepts including linear algebra, calculus, and probability.
• Experience with cloud platforms (AWS, Azure, GCP) for AI model training and deployment.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Experience leading research projects and mentoring team members is highly desirable.
• Ability to work independently and as part of a collaborative team in a fast-paced environment.

• Conducting state-of-the-art research in deep learning architectures and techniques.
• Developing and optimizing deep neural networks for various AI applications.
• Implementing and deploying machine learning models into production environments.
• Analyzing large datasets to extract meaningful insights and drive model improvements.
• Collaborating with product managers to define AI strategy and roadmap.
• Mentoring junior researchers and engineers.
• Staying abreast of the latest advancements in AI and machine learning.
• Publishing research findings in top-tier conferences and journals.

Role Description

This is a full-time, on-site role for a Software Engineer located in Manama. You will work with AI agents to build software solutions across different areas including frontend, backend, security, and mobile applications. The AI handles most of the coding - your job is to guide it properly and ensure the output meets quality standards.

• Work with AI agents to generate code for various projects
• Review AI-generated code to ensure it's correct and secure
• Decide what code to accept or reject based on quality standards
• Guide AI agents with clear instructions to get better results
• Handle tasks across frontend, backend, security, and other areas as needed
• Collaborate with the team to deliver quality software solutions

• Programming Fundamentals : Good understanding of programming basics and ability to read code carefully
• Critical Thinking : Can analyze code and spot potential issues or improvements
• Problem Solving : Enjoy working with technology and solving technical challenges
• Learning Mindset : Interested in AI-augmented development and eager to learn
• Attention to Detail : Can review code thoroughly and make informed decisions
• Communication Skills : Able to work well with team members and explain technical decisions

• Basic programming knowledge in any language (Python, JavaScript, Java, etc.)
• Understanding of software development concepts
• Ability to read and understand code structure

• Work with cutting-edge AI development technology
• Learn the latest in AI-augmented software development
• Opportunity to work across different technical areas
• Supportive team environment
• Competitive salary and benefits
• Interested in shaping the future of software development with AI? Join our innovative team.

• Design, develop, and implement machine learning models and algorithms.
• Work with large datasets for training and evaluating AI models.
• Deploy and maintain AI solutions in production environments.
• Collaborate with data scientists and software engineers to integrate AI features.
• Research and apply state-of-the-art AI/ML techniques.
• Develop and manage MLOps pipelines for model deployment and monitoring.
• Contribute to the company's AI strategy and roadmap.
• Mentor junior AI engineers.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5 years of experience in AI/ML development.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Strong understanding of machine learning algorithms and statistical modeling.
• Experience with cloud computing platforms (AWS, Azure, GCP).
• Knowledge of MLOps principles and tools.
• Excellent problem-solving and analytical skills.

• Develop and implement AI ethics policies and guidelines.
• Conduct ethical risk assessments for AI systems and applications.
• Advise on the societal impact and fairness of AI algorithms.
• Collaborate with engineering and product teams to integrate ethical principles.
• Develop training programs on AI ethics for employees.
• Monitor and report on ethical compliance of AI projects.
• Engage with external stakeholders on AI ethics issues.
• Research and stay updated on AI ethics best practices and regulations.
• Promote a culture of responsible innovation and ethical decision-making.

• Master's or PhD in Philosophy, Ethics, Computer Science, Law, or a related interdisciplinary field.
• Minimum of 5 years of experience in AI ethics, technology ethics, or applied ethics.
• Demonstrated understanding of AI technologies, machine learning, and data science principles.
• Experience in developing ethical frameworks and conducting impact assessments.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong written and verbal communication skills, with the ability to explain complex concepts clearly.
• Proven ability to collaborate effectively with diverse teams and stakeholders.
• Familiarity with relevant legal and regulatory frameworks.
• Passion for promoting responsible AI development and deployment.

• 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.

• 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.