What Jobs are available for Artificial Intelligence in Bahrain?
Showing 1001 Artificial Intelligence jobs in Bahrain
Remote Artificial Intelligence Specialist
Posted 3 days ago
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Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms for various applications.
- Perform data collection, preprocessing, and feature engineering to prepare data for AI models.
- Train, evaluate, and fine-tune deep learning models using frameworks like TensorFlow or PyTorch.
- Develop natural language processing (NLP) solutions for tasks such as text classification, sentiment analysis, and chatbots.
- Implement computer vision techniques for image recognition, object detection, and image segmentation.
- Deploy AI models into production environments and monitor their performance.
- Collaborate with clients to identify AI opportunities and define project scope.
- Communicate technical findings and project progress effectively to both technical and non-technical stakeholders.
- Stay current with the latest advancements in AI research, techniques, and tools.
- Write clean, efficient, and well-documented code.
- Contribute to the development of reusable AI components and libraries.
- Troubleshoot and resolve issues related to AI model performance and deployment.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Proven experience in developing and deploying machine learning models in real-world applications.
- Strong programming skills in Python and experience with relevant AI/ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).
- In-depth knowledge of various machine learning algorithms (e.g., regression, classification, clustering, reinforcement learning).
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML development and deployment.
- Solid understanding of data structures, algorithms, and software development best practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with MLOps principles and practices is desirable.
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Professor of Artificial Intelligence
Posted 3 days ago
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Job Description
Responsibilities:
- Conduct independent, high-impact research in Artificial Intelligence and related areas.
- Publish research findings in leading academic journals and present at international conferences.
- Develop and deliver engaging lectures and course materials for undergraduate and graduate students in AI, machine learning, deep learning, and related subjects.
- Supervise student research projects, theses, and dissertations.
- Mentor and advise students on academic and career paths.
- Contribute to curriculum development and departmental initiatives.
- Seek external funding to support research activities.
- Collaborate with faculty across different departments on interdisciplinary projects.
- Participate in faculty governance and committee work.
- Promote the university's commitment to academic excellence and innovation.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- A strong record of scholarly publication in reputable journals and conferences.
- Demonstrated success in securing research grants and funding.
- Proven experience in teaching at the university level, with excellent pedagogical skills.
- Expertise in core AI concepts, including machine learning, deep learning, natural language processing, computer vision, or robotics.
- Ability to develop and teach a diverse range of AI courses.
- Excellent communication, presentation, and interpersonal skills.
- A commitment to fostering an inclusive and supportive learning environment.
- Experience in guiding student research is highly desirable.
- Postdoctoral research experience is a significant advantage.
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Principal Research Scientist, Artificial Intelligence
Posted 5 days ago
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Job Description
The ideal candidate will hold a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field. A minimum of 8 years of post-doctoral research experience, with a proven track record of significant contributions to the AI/ML field (publications, patents, open-source contributions), is required. You should possess deep expertise in areas such as deep learning, natural language processing, computer vision, reinforcement learning, or predictive modeling. Strong programming skills in Python and proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch) are essential. Experience with large-scale data processing and distributed computing environments is highly desirable. Excellent analytical, critical thinking, and problem-solving skills are paramount. You must be able to articulate complex research findings clearly and effectively to both technical and non-technical audiences. The ability to mentor junior researchers, lead research teams, and foster a collaborative and innovative research environment is crucial. As this is a hybrid role, the ability to effectively balance remote and on-site work, ensuring seamless collaboration, is key.
Responsibilities:
- Lead and conduct cutting-edge research in AI/ML domains.
- Develop and implement novel algorithms and models.
- Design and execute experiments to validate research hypotheses.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with engineering teams to translate research into practical applications.
- Mentor and guide junior researchers and scientists.
- Stay abreast of the latest advancements and trends in AI research.
- Contribute to the strategic direction of the organization's AI initiatives.
- Present research findings and proposals to stakeholders and management.
- Ph.D. in Computer Science, AI, ML, Statistics, or a related quantitative field.
- 8+ years of post-doctoral research experience in AI/ML.
- Proven track record of significant research contributions (publications, patents).
- Deep expertise in areas such as deep learning, NLP, computer vision, etc.
- Strong programming skills in Python and deep learning frameworks.
- Experience with large-scale data and distributed computing is a plus.
- Excellent analytical, critical thinking, and communication skills.
- Ability to thrive in a hybrid work environment.
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Director of Artificial Intelligence Strategy
Posted 15 days ago
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Graduate Software Developer (Artificial Intelligence)
Posted 23 days ago
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Senior Research Fellow - Artificial Intelligence in Education (Remote)
Posted 22 days ago
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Job Description
- Leading the design and execution of research projects on AI in education.
- Developing and testing AI models for personalized learning, intelligent tutoring systems, and educational analytics.
- Conducting rigorous empirical research, including qualitative and quantitative data analysis.
- Publishing research findings in leading academic journals and presenting at international conferences.
- Collaborating with cross-functional teams, including educators, software developers, and policymakers.
- Securing external funding through grant writing and proposals.
- Mentoring junior researchers and students.
- Contributing to the strategic direction of AI in education research initiatives.
- Ph.D. in Computer Science, Education Technology, Artificial Intelligence, or a related field.
- Minimum of 6 years of post-doctoral research experience in AI or educational technology.
- Demonstrated expertise in machine learning, natural language processing, or related AI fields.
- Experience with research methodologies relevant to education.
- Strong publication record in reputable venues.
- Proficiency in programming languages like Python.
- Excellent communication, collaboration, and project management skills.
- Experience working in a remote research environment.
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Data Science Intern
Posted 13 days ago
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Job Description
- Assisting in the collection, cleaning, and preprocessing of large datasets from various sources.
- Performing exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Supporting the development and implementation of machine learning models under the guidance of senior data scientists.
- Contributing to the visualization of data and findings using tools like Matplotlib, Seaborn, or Tableau.
- Helping to document methodologies, code, and results.
- Participating in team meetings and presenting findings or progress updates.
- Researching and learning new data science techniques and tools.
- Collaborating with other interns and team members on shared projects.
- Assisting in the testing and validation of data models and algorithms.
- Gaining exposure to cloud platforms and big data technologies.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Solid understanding of statistical concepts and machine learning algorithms.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for learning and a proactive attitude.
- Experience with SQL is a plus.
- Familiarity with version control systems like Git is beneficial.
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Data Science Apprentice
Posted 15 days ago
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Job Description
As a Data Science Apprentice, you will embark on a structured learning journey covering the core principles of data analysis, machine learning, statistical modeling, and data visualization. You will work alongside experienced data scientists, assisting them in collecting, cleaning, analyzing, and interpreting large datasets to derive actionable insights. This apprenticeship is ideal for individuals with a strong aptitude for numbers, problem-solving, and a passion for uncovering hidden patterns within data.
What You Will Learn and Do:
- Assist in data collection, cleaning, and preprocessing using various tools and techniques.
- Learn and apply statistical methods for data analysis and interpretation.
- Gain hands-on experience with machine learning algorithms and their implementation.
- Develop data visualization skills to communicate findings effectively.
- Support senior data scientists in developing predictive models and data-driven solutions.
- Participate in team meetings and contribute to project discussions.
- Understand and adhere to data privacy and security best practices.
- Develop proficiency in programming languages commonly used in data science, such as Python and R.
- Explore various data science tools and platforms.
- Receive mentorship and guidance from experienced data science professionals.
- A strong academic background, ideally with a degree or strong performance in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering).
- A genuine passion for data and a keen analytical mindset.
- Excellent problem-solving skills and attention to detail.
- Basic understanding of programming concepts; experience with Python or R is a plus but not mandatory.
- Strong communication skills, both written and verbal.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Must be legally eligible to work in the designated region (or capable of working remotely from an approved location).
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Data Science Apprentice
Posted 18 days ago
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Job Description
As a Data Science Apprentice, you will assist in data collection, cleaning, and preprocessing from various sources. You will support the team in developing and testing data models, performing exploratory data analysis, and generating insights to inform business decisions. Learning to use data visualization tools to communicate findings effectively to both technical and non-technical audiences will be a key focus. You will also gain exposure to different programming languages and software used in data science, such as Python, R, SQL, and relevant libraries.
The ideal candidate should have a strong analytical mindset, a keen interest in data science, and a desire to learn. While prior experience is not essential, a foundational understanding of mathematics, statistics, or programming is beneficial. Excellent problem-solving skills, attention to detail, and strong communication abilities are required. This apprenticeship is an excellent pathway for individuals looking to start a career in data science and contribute to innovative projects within a supportive team. Join us at our location in Riffa, Southern, BH , and embark on an exciting journey into the world of data.
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Graduate Trainee - Data Science
Posted today
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Job Description
Key Responsibilities:
- Assist senior data scientists in data collection, cleaning, and pre-processing tasks.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop data visualizations to communicate findings effectively.
- Support the development and implementation of machine learning models under guidance.
- Write and optimize SQL queries for data extraction and manipulation.
- Contribute to the documentation of data science processes and findings.
- Participate in team meetings and present project updates.
- Learn and apply various data science methodologies and tools.
- Assist in A/B testing and experiment design.
- Adhere to data privacy and security protocols.
- Recent Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong foundational knowledge of statistics, probability, and linear algebra.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with SQL and database concepts.
- Basic understanding of machine learning concepts and algorithms.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication abilities.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Enthusiasm for the field of data science and its applications.
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