What Jobs are available for Machine Learning Scientist in Bahrain?
Showing 700 Machine Learning Scientist jobs in Bahrain
Senior Machine Learning Scientist
Posted 3 days ago
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Job Description
Responsibilities:
- Conduct research and development in areas such as deep learning, natural language processing, computer vision, and reinforcement learning.
- Design, implement, and validate novel machine learning algorithms and models.
- Process and analyze large, complex datasets to extract meaningful insights and train models.
- Develop robust, scalable, and production-ready ML pipelines and systems.
- Collaborate with domain experts to define problem statements and translate requirements into ML solutions.
- Stay current with the latest advancements in machine learning and artificial intelligence research.
- Publish research findings in top-tier conferences and journals, and contribute to intellectual property.
- Mentor junior data scientists and researchers.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
- Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field with a specialization in Machine Learning.
- 5+ years of hands-on experience in developing and deploying machine learning models in a research or product environment.
- Strong theoretical understanding of core ML concepts, algorithms, and statistical methods.
- Proficiency in programming languages such as Python, and experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Experience with data manipulation and analysis libraries (e.g., pandas, NumPy).
- Proven ability to work on challenging research problems and deliver innovative solutions.
- Excellent problem-solving, analytical, and communication skills.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
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Lead Machine Learning Scientist
Posted 23 days ago
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Job Description
Key responsibilities include defining machine learning strategies and roadmaps in alignment with business objectives. You will oversee the development of custom ML algorithms and models, ensuring they are robust, scalable, and interpretable. Guiding the team in data preprocessing, feature engineering, and model selection will be critical. Evaluating model performance, identifying areas for improvement, and implementing optimization techniques will be a continuous effort. You will also be responsible for staying current with the latest advancements in machine learning research and applying them to practical business challenges. Effective communication of complex technical concepts to both technical and non-technical stakeholders will be essential. Fostering a collaborative and intellectually stimulating team environment is a priority.
The ideal candidate will have a Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or a related field, with at least 6 years of hands-on experience in machine learning and data science. Proven experience in leading ML projects and managing teams is mandatory. Expertise in programming languages such as Python or R, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and big data technologies (e.g., Spark) are essential. A strong understanding of various ML algorithms, statistical modeling, and evaluation metrics is required. Excellent analytical, problem-solving, and communication skills are crucial. This position is 100% remote, offering flexibility and autonomy to work from any location.
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Lead Machine Learning Scientist (Remote)
Posted 8 days ago
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Job Description
Key Responsibilities:
- Lead the design, development, and implementation of state-of-the-art machine learning algorithms and models for diverse research and development applications.
- Conduct in-depth data analysis, feature engineering, and model training on large-scale datasets.
- Research, evaluate, and integrate new machine learning techniques, tools, and libraries into existing workflows.
- Collaborate closely with cross-functional teams, including data engineers, software developers, and domain experts, to translate research findings into deployable solutions.
- Develop and execute rigorous experimental methodologies to validate model performance and impact.
- Mentor and guide junior data scientists and researchers, fostering a culture of continuous learning and technical excellence.
- Stay current with the latest advancements in AI, deep learning, and related fields through academic literature and industry conferences.
- Contribute to intellectual property generation through publications, patents, and internal knowledge sharing.
- Design and build robust data pipelines for model training and inference in a distributed computing environment.
- Communicate complex technical concepts and findings effectively to both technical and non-technical stakeholders through presentations and reports.
- Identify opportunities for applying ML to novel research problems and business challenges.
- Ensure the ethical and responsible development and deployment of AI systems.
- Oversee the deployment and monitoring of machine learning models in production environments.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Physics, or a related quantitative field.
- 5+ years of hands-on experience in machine learning, deep learning, and statistical modeling.
- Proven track record of leading ML projects from conception to deployment.
- Expertise in programming languages such as Python, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Strong understanding of algorithms, data structures, and software engineering best practices.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Exceptional communication and interpersonal skills, with the ability to collaborate effectively in a remote setting.
- Experience with MLOps principles and tools is highly desirable.
- A strong publication record in top-tier ML conferences or journals is a significant advantage.
- Demonstrated ability to translate complex research problems into practical, data-driven solutions.
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Remote Principal Machine Learning Scientist - Computer Vision
Posted 17 days ago
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AI & Machine Learning Research Scientist
Posted 6 days ago
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Job Description
Key Responsibilities:
- Conduct research and development in areas of artificial intelligence and machine learning.
- Design, implement, and evaluate novel AI algorithms and models.
- Develop and deploy deep learning architectures for various applications.
- Analyze large datasets to extract meaningful insights and build predictive models.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Stay abreast of the latest advancements in AI research and relevant academic publications.
- Publish research findings in top-tier conferences and journals.
- Contribute to the intellectual property portfolio of the company.
- Mentor junior researchers and contribute to a collaborative research environment.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research and publication in AI/ML.
- Strong theoretical understanding of machine learning, deep learning, statistics, and optimization.
- Proficiency in Python and experience with ML/DL frameworks (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
- Experience with data manipulation, analysis, and visualization tools.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Ability to work independently and manage research projects effectively in a remote setting.
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AI & Machine Learning Research Scientist
Posted 22 days ago
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Job Description
Responsibilities:
- Conduct advanced research in Artificial Intelligence and Machine Learning.
- Develop and implement novel AI algorithms and machine learning models.
- Design and execute rigorous experiments to validate research hypotheses.
- Analyze large and complex datasets to extract meaningful insights.
- Collaborate with a team of researchers to drive innovation and solve challenging problems.
- Publish research findings in top-tier academic conferences and journals.
- Develop proof-of-concept implementations and prototypes.
- Stay abreast of the latest advancements and trends in the AI/ML field.
- Contribute to the intellectual property and patent portfolio of the company.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of significant research contributions, evidenced by publications in peer-reviewed journals and top-tier conferences.
- Deep expertise in one or more AI/ML subfields (e.g., deep learning, NLP, computer vision, reinforcement learning).
- Strong programming skills in Python and proficiency with ML frameworks (e.g., TensorFlow, PyTorch, Keras).
- Experience with data analysis, statistical modeling, and experimental design.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex ideas clearly.
- Ability to work independently and effectively in a remote research setting.
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AI & Machine Learning Research Scientist
Posted 23 days ago
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Job Description
Key Responsibilities:
- Conducting advanced research in areas such as deep learning, natural language processing, computer vision, reinforcement learning, and predictive modeling.
- Designing, developing, and implementing state-of-the-art machine learning models and algorithms.
- Analyzing large datasets to extract insights, identify patterns, and build predictive models.
- Collaborating remotely with cross-functional teams, including software engineers, product managers, and other researchers, to integrate AI solutions into products and services.
- Staying abreast of the latest advancements in AI/ML research and technologies through literature review and conference participation.
- Publishing research findings in top-tier academic journals and conferences.
- Developing and optimizing ML pipelines for training, evaluation, and deployment.
- Experimenting with new tools, frameworks, and techniques to enhance AI capabilities.
- Mentoring junior researchers and engineers, and contributing to the team's knowledge base.
- Evaluating the performance and ethical implications of AI systems.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Proven track record of impactful research in AI/ML, demonstrated through publications, patents, or open-source contributions.
- Strong theoretical understanding and practical experience with various ML algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in programming languages such as Python, and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Experience with cloud computing platforms (AWS, Azure, GCP) and big data technologies is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional written and verbal communication skills, essential for effective remote collaboration.
- Ability to work independently, manage complex projects, and drive research initiatives from conception to completion.
- Creativity and a passion for innovation in the field of AI.
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AI & Machine Learning Research Scientist - Graduate Program
Posted 21 days ago
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Job Description
Key Responsibilities:
- Assist senior researchers in designing, implementing, and evaluating novel AI and ML models and algorithms.
- Conduct literature reviews to stay abreast of the latest advancements in AI research.
- Process and analyze large datasets to train and validate machine learning models.
- Develop and implement code in Python or other relevant programming languages for AI research projects.
- Participate in team meetings, research discussions, and project planning sessions.
- Contribute to the writing of research papers, technical reports, and presentations.
- Experiment with different AI techniques and architectures to solve complex problems.
- Collaborate with mentors to define research objectives and methodologies.
- Troubleshoot and debug code and experimental setups.
- Learn and apply best practices in reproducible research and data management.
Qualifications:
- Currently pursuing a Bachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, or a related quantitative field.
- Strong foundational knowledge of machine learning concepts, algorithms, and statistical modeling.
- Proficiency in at least one programming language commonly used in AI/ML, such as Python, R, or Java.
- Familiarity with AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Excellent analytical and problem-solving skills.
- Strong academic record.
- Ability to work independently and collaboratively in a remote team environment.
- Excellent written and verbal communication skills.
- Enthusiasm for AI and a strong desire to learn and contribute to research.
- Previous research experience or relevant projects are a plus.
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AI Research Scientist (Deep Learning)
Posted 2 days ago
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Job Description
Responsibilities:
- Conducting research and development of advanced deep learning models and algorithms.
- Designing, training, and evaluating neural networks for various AI applications.
- Processing and analyzing large-scale datasets.
- Implementing and optimizing AI models using frameworks like TensorFlow and PyTorch.
- Collaborating with engineering teams to deploy AI solutions.
- Staying current with the latest advancements in AI and machine learning.
- Documenting research findings and technical designs.
- Presenting research results to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 3+ years of experience in AI research and development, with a focus on deep learning.
- Proven experience in developing and deploying deep learning models.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong understanding of machine learning algorithms and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities in a remote setting.
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AI Research Engineer - Deep Learning
Posted 2 days ago
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Job Description
Key Responsibilities:
- Design, develop, and implement advanced deep learning models and algorithms for complex AI problems.
- Conduct research into new AI techniques, machine learning architectures, and data processing methods.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into products and services.
- Process and analyze large datasets to train and evaluate AI models.
- Optimize model performance for scalability, efficiency, and accuracy.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Publish research findings in reputable conferences and journals.
- Develop prototypes and proof-of-concepts for new AI applications.
- Mentor junior engineers and contribute to the team's technical growth.
- Contribute to the intellectual property portfolio through patents and publications.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Proven experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras is essential. Strong programming skills in Python and experience with libraries like NumPy and Pandas are required. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. Excellent problem-solving skills, creativity, and the ability to work independently and as part of a team are crucial. This hybrid role offers a flexible work arrangement, allowing for both remote work and in-office collaboration. The position is based in Isa Town, Southern, BH .
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