238 Deep Learning jobs in Bahrain
AI Research Scientist - Deep Learning
Posted today
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Responsibilities:
- Conduct groundbreaking research in deep learning and artificial intelligence.
- Develop novel algorithms and models for various AI applications.
- Design and implement experiments to validate research hypotheses.
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Stay current with the latest advancements in AI research and publish findings.
- Contribute to the development of AI infrastructure and tools.
- Evaluate and benchmark new AI techniques and technologies.
- Mentor junior researchers and engineers in the AI domain.
- PhD or Master's degree in Computer Science, AI, Machine Learning, or a related field.
- Proven track record of research publications in top AI conferences/journals.
- Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong programming skills in Python.
- In-depth knowledge of machine learning algorithms, neural networks, and statistical modeling.
- Experience with large-scale data processing and distributed training.
- Excellent analytical, problem-solving, and communication skills.
AI Research Scientist - Deep Learning
Posted 6 days ago
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This position requires a deep understanding of machine learning principles, statistical modeling, and various deep learning frameworks (e.g., TensorFlow, PyTorch). You will be expected to stay current with the latest research publications and industry trends, contributing to the scientific community through publications and presentations where appropriate. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly is crucial. This is an exciting opportunity to work on challenging problems, leverage state-of-the-art tools, and make a significant contribution to the field of artificial intelligence. We are looking for creative thinkers who are eager to explore the potential of AI and drive technological advancements. The role offers a competitive salary, excellent benefits, and the flexibility of a remote work environment.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in deep learning research and development.
- Strong expertise in Python and deep learning frameworks (TensorFlow, PyTorch).
- Experience with large-scale data processing and analysis.
- Solid understanding of algorithms, data structures, and mathematical concepts relevant to AI.
- Excellent research, problem-solving, and communication skills.
- Publications in top-tier AI conferences/journals are a plus.
AI Research Scientist - Deep Learning
Posted 6 days ago
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Key responsibilities include designing and implementing deep learning models, conducting rigorous experimentation and evaluation, staying abreast of the latest research advancements in the field, and contributing to the intellectual property portfolio through patents and publications. You will collaborate with a team of world-class researchers and engineers, translating theoretical concepts into practical, deployable AI solutions. Experience with major deep learning frameworks such as TensorFlow, PyTorch, and Keras is essential. A deep understanding of machine learning principles, statistical modeling, and data analysis techniques is required.
This position is based in Zallaq, Southern, BH , and offers a hybrid work arrangement, providing flexibility while fostering collaboration within our state-of-the-art facilities. We are looking for individuals with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with significant research experience. Excellent problem-solving skills, strong analytical abilities, and effective communication are paramount. You will be contributing to groundbreaking AI innovations that will shape the future. If you are driven by discovery and eager to make a significant impact in the field of artificial intelligence, we invite you to explore this exciting opportunity.
Senior Machine Learning Engineer - Deep Learning
Posted today
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Key Responsibilities:
- Design, develop, and implement state-of-the-art deep learning models for various applications, including computer vision, natural language processing, and predictive analytics.
- Preprocess, clean, and engineer features from large, complex datasets.
- Train, validate, and optimize deep learning models using various frameworks (e.g., TensorFlow, PyTorch).
- Evaluate model performance and identify areas for improvement.
- Deploy machine learning models into production environments, ensuring scalability and reliability.
- Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver solutions.
- Stay abreast of the latest research and advancements in machine learning and deep learning.
- Contribute to the development of MLOps best practices and pipelines.
- Mentor junior engineers and share knowledge within the team.
- Research and implement novel algorithms and techniques to solve challenging AI problems.
- Master's or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- Minimum of 7 years of experience in machine learning, with a strong emphasis on deep learning.
- Proven experience in developing and deploying deep learning models in real-world applications.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, scikit-learn.
- Strong understanding of fundamental ML algorithms, statistical modeling, and data mining techniques.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills.
- Experience with MLOps principles and tools is a significant plus.
Senior Machine Learning Engineer - Deep Learning
Posted 2 days ago
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Job Description
Responsibilities:
- Design, develop, and implement deep learning models and algorithms.
- Build and maintain robust ML pipelines for training, evaluation, and deployment.
- Optimize model performance for efficiency and accuracy.
- Deploy machine learning models into production environments using MLOps best practices.
- Collaborate with cross-functional teams to integrate ML solutions into products.
- Conduct research on cutting-edge deep learning techniques and apply them to business problems.
- Process and analyze large datasets for model training.
- Stay current with advancements in machine learning and artificial intelligence.
- Write clean, maintainable, and well-documented code.
- Master's or PhD in Computer Science, AI, Machine Learning, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering.
- Proven experience in developing and deploying deep learning models.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant ML libraries (e.g., scikit-learn, NumPy, Pandas).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Strong understanding of data structures, algorithms, and software design principles.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to thrive in a fully remote work environment.
Principal AI Research Scientist - Deep Learning
Posted today
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Senior AI Research Scientist - Deep Learning
Posted today
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Senior AI Research Scientist - Deep Learning
Posted today
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Job Description
Responsibilities:
- Conduct advanced research in deep learning, machine learning, and related AI fields, aiming to create novel algorithms and models.
- Design, implement, and rigorously test deep learning architectures for applications such as computer vision, natural language processing, and reinforcement learning.
- Develop and optimize AI models for performance, scalability, and efficiency, working with large datasets.
- Collaborate with cross-functional teams, including engineers and product managers, to integrate AI research into practical applications and products.
- Stay abreast of the latest advancements in AI and machine learning through continuous literature review and participation in conferences.
- Publish research findings in top-tier academic journals and present at international conferences.
- Mentor junior researchers and contribute to building a strong research culture within the organization.
- Evaluate and benchmark AI models, ensuring they meet defined performance metrics and ethical guidelines.
- Contribute to the intellectual property portfolio through patent applications and innovative solutions.
- Explore new research avenues and propose innovative projects aligned with the company's strategic objectives.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of post-doctoral research experience in AI and Deep Learning.
- Demonstrated track record of impactful research, evidenced by publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) and journals.
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python, C++, and related scientific computing libraries.
- Deep understanding of various neural network architectures (CNNs, RNNs, Transformers, GANs) and their applications.
- Experience with large-scale data processing and distributed training environments.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration skills, with the ability to articulate complex technical concepts.
- Experience with cloud computing platforms (AWS, GCP, Azure) for AI workloads is a plus.
- Ability to work effectively in a hybrid research environment, balancing independent work with team collaboration.
Senior AI Research Scientist - Deep Learning
Posted 1 day ago
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Principal AI Research Scientist (Deep Learning)
Posted 1 day ago
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Job Description
Key Responsibilities:
- Lead cutting-edge research in deep learning and its applications.
- Design, develop, and implement novel AI algorithms and models.
- Conduct experiments, analyze results, and publish findings in top-tier scientific venues.
- Mentor and guide junior researchers and engineers in the AI team.
- Collaborate with product teams to identify opportunities for AI integration and innovation.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Develop prototypes and proof-of-concepts for new AI technologies.
- Contribute to the strategic direction of the company's AI roadmap.
- Present research findings to technical and non-technical audiences.
- Ensure the ethical and responsible development of AI systems.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of hands-on research experience in deep learning.
- Strong publication record in leading AI conferences and journals (e.g., NeurIPS, ICML, CVPR, ACL).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python.
- Experience with large-scale data processing and distributed computing.
- Demonstrated ability to lead research projects and mentor teams.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex concepts clearly.
- Proven ability to work effectively in a remote, collaborative environment.
This is a unique chance to work on challenging problems with a team of world-class researchers and engineers, shaping the future of AI from the comfort of your home.