What Jobs are available for AI Engineers in Bahrain?
Showing 916 AI Engineers jobs in Bahrain
Junior AI Development Intern
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- Assist in data preparation, including collection, cleaning, and labeling for machine learning models.
- Support the development and implementation of AI algorithms and models under supervision.
- Conduct literature reviews and research on emerging AI technologies and techniques.
- Write and test code for AI-related projects, adhering to best practices.
- Participate in team meetings and contribute ideas for AI solutions.
- Assist in documenting AI project progress and findings.
- Collaborate with team members on various AI development tasks.
- Learn and apply new AI tools and frameworks.
- Help troubleshoot and debug AI models and code.
- Gain practical experience in a professional AI development environment.
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Junior AI Development Apprentice
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Key Responsibilities:
- Assist in the development and implementation of AI models and algorithms.
- Support data collection, cleaning, and preprocessing tasks for machine learning projects.
- Collaborate with senior team members on AI research and development initiatives.
- Write and test code in programming languages relevant to AI (e.g., Python).
- Learn and apply machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Participate in team meetings and contribute to project discussions.
- Document code, processes, and research findings.
- Assist in the evaluation and deployment of AI solutions.
- Gain exposure to various AI domains, such as natural language processing, computer vision, and predictive analytics.
- Adhere to best practices in software development and data science.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
- Solid understanding of programming concepts, preferably with experience in Python.
- Demonstrated interest in Artificial Intelligence, Machine Learning, and data analysis.
- Basic knowledge of mathematics, statistics, and algorithms.
- Eagerness to learn and adapt to new technologies.
- Strong problem-solving abilities and attention to detail.
- Good communication and teamwork skills.
- Ability to work independently and manage time effectively in a remote setting.
- Familiarity with version control systems like Git is a plus.
- A passion for innovation and a desire to build a career in AI.
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AI Ethics Specialist - Responsible AI Development
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Key responsibilities include developing and implementing ethical frameworks, guidelines, and best practices for AI development. You will conduct risk assessments for AI systems, identify potential ethical challenges such as bias, fairness, privacy, and accountability, and propose mitigation strategies. Collaborating with cross-functional teams, including product managers, engineers, legal counsel, and policymakers, to embed ethical considerations into product development will be essential. You will also play a role in training and educating internal teams on AI ethics and responsible innovation. Staying abreast of evolving regulatory landscapes, industry standards, and academic research in AI ethics is crucial. Your insights will help shape our AI strategy and ensure we maintain public trust.
We are seeking individuals with a Master's or Ph.D. in a relevant field such as Philosophy, Ethics, Law, Computer Science, or Social Sciences, with a specialization in AI ethics or related areas. Proven experience in analyzing ethical implications of technology, particularly AI, is required. A strong understanding of machine learning concepts and the technical aspects of AI systems is highly beneficial. Excellent analytical, critical thinking, and problem-solving skills are a must. Outstanding communication and interpersonal skills are necessary to effectively engage with diverse stakeholders and champion ethical AI practices. Join our team in Budaiya, Northern, BH , and help shape the future of ethical AI.
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Remote AI Ethics Lead - Responsible AI Development
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Key Responsibilities:
- Develop and implement organizational AI ethics policies and frameworks.
- Conduct ethical risk assessments for AI projects and applications.
- Establish guidelines for fairness, transparency, accountability, and privacy in AI.
- Work with AI/ML teams to embed ethical considerations into the development lifecycle.
- Develop strategies for bias detection, mitigation, and fairness in AI models.
- Promote explainability and interpretability of AI systems.
- Educate and train internal teams on AI ethics best practices.
- Engage with external stakeholders, regulators, and the AI ethics community.
- Monitor emerging AI ethical issues and propose proactive solutions.
- Advise on the responsible deployment and governance of AI technologies.
- Contribute to the company's thought leadership in responsible AI.
- Advanced degree (Ph.D. or Master's) in AI Ethics, Philosophy, Law, Public Policy, Computer Science with an ethics focus, or a related field.
- Minimum of 7 years of experience in AI ethics, responsible AI, or technology policy.
- Deep understanding of AI/ML concepts and their societal implications.
- Proven experience in developing ethical frameworks and risk assessment methodologies.
- Excellent analytical, critical thinking, and problem-solving skills.
- Exceptional communication, presentation, and interpersonal skills.
- Ability to influence and collaborate with diverse technical and non-technical teams.
- Familiarity with relevant regulations and standards (e.g., GDPR, AI Act proposals).
- Experience in stakeholder engagement and public speaking is a plus.
- Strong commitment to ethical principles and societal well-being.
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Data Science Intern
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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
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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
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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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Senior Data Science Apprentice - Machine Learning Applications
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Program Highlights:
- Duration: 12-18 months, with the potential for conversion to a full-time Data Scientist role upon successful completion.
- Focus Areas: Supervised and unsupervised learning, deep learning, natural language processing (NLP), time series analysis, and MLOps.
- Projects: Contribute to diverse projects involving predictive modeling, customer analytics, fraud detection, recommendation systems, and more.
- Mentorship: Receive dedicated guidance from experienced Data Scientists and Machine Learning Engineers.
- Training: Access to comprehensive online courses, workshops, and learning resources.
- Remote Work: Fully remote structure allows for flexible working arrangements.
- Assist in data collection, cleaning, and preprocessing from various sources.
- Develop, train, and evaluate machine learning models under the guidance of senior staff.
- Implement and optimize algorithms for prediction, classification, and clustering.
- Assist in the deployment and monitoring of machine learning models in production environments.
- Collaborate with engineering and product teams to understand data needs and deliver insights.
- Conduct exploratory data analysis (EDA) to identify patterns and trends.
- Document methodologies, findings, and code thoroughly.
- Stay updated on the latest advancements in data science and machine learning.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Demonstrated programming proficiency, ideally in Python, and familiarity with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
- Strong understanding of fundamental statistical concepts and machine learning algorithms.
- Excellent analytical and problem-solving skills.
- Proactive learner with a strong desire to master advanced data science techniques.
- Effective communication and collaboration skills, suitable for a remote work environment.
- Ability to manage time effectively and meet project deadlines.
- A portfolio of personal projects or contributions to open-source projects is a strong plus.
- Prior internship or entry-level experience in data analysis or software development is beneficial.
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Junior Data Science Apprentice - Machine Learning Focus
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Job Description
Program Highlights:
- Gain practical experience in data cleaning, feature engineering, and exploratory data analysis using industry-standard tools.
- Learn and apply various machine learning algorithms, including supervised and unsupervised learning techniques.
- Assist in the development and evaluation of predictive models for various business applications.
- Collaborate with cross-functional teams in a remote setting, contributing to project goals.
- Develop proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn).
- Participate in regular training sessions and workshops led by senior data scientists.
- Learn to visualize data and communicate findings effectively through reports and presentations.
- Understand the principles of data governance and ethical data usage.
Requirements:
- Recent graduate with a Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Solid understanding of fundamental statistical concepts and mathematical principles.
- Demonstrated interest in data science and machine learning, evidenced by personal projects or coursework.
- Basic programming skills in Python or R.
- Strong analytical and problem-solving abilities.
- Excellent communication and collaboration skills, essential for a remote team environment.
- Self-motivated, eager to learn, and capable of working independently.
- Must be able to commit to the full apprenticeship duration.
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Data Science Graduate Intern
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Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets.
- Develop and implement statistical models and machine learning algorithms under guidance.
- Conduct exploratory data analysis to identify trends and insights.
- Create visualizations and reports to communicate findings to the team.
- Collaborate with senior data scientists on model validation and performance evaluation.
- Support the development and deployment of data-driven solutions.
- Participate in team meetings and contribute to project discussions.
- Learn and apply various data science tools and technologies (e.g., Python, R, SQL, scikit-learn).
- Document code, methodologies, and findings thoroughly.
- Assist in A/B testing design and analysis.
- Contribute to research and development of new data science techniques.
Qualifications:
- Currently pursuing a Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, Physics, or a related quantitative field.
- Strong foundation in statistics, probability, and machine learning concepts.
- Proficiency in at least one programming language commonly used in data science, such as Python or R.
- Familiarity with SQL for database querying.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and ability to work with large datasets.
- Good written and verbal communication skills.
- Ability to work effectively both independently and as part of a team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Previous internship or project experience in data science is advantageous.
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