193 Research Engineer jobs in Bahrain
AI Research Engineer
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Key responsibilities include staying abreast of the latest advancements in AI research, identifying new opportunities for AI innovation, and collaborating with cross-functional teams to integrate AI solutions into products and services. You will develop and optimize AI models for performance, scalability, and efficiency. The ideal candidate will possess a strong foundation in computer science, mathematics, and statistics, coupled with extensive experience in AI development. Excellent problem-solving skills, a passion for continuous learning, and the ability to work independently and manage projects in a remote setting are essential. You should be proficient in programming languages like Python and have experience with AI frameworks such as TensorFlow or PyTorch. Strong communication skills are needed to present complex technical information clearly.
Requirements include a Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing and deploying AI models in a production environment is crucial. A strong portfolio showcasing AI projects and contributions to open-source communities is highly advantageous. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus. This remote-first role offers a unique opportunity to work on challenging problems at the forefront of AI development, collaborating with a talented team of researchers and engineers, all from your chosen location.
AI Research Engineer
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Senior AI Research Engineer
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Key responsibilities include designing, implementing, and evaluating machine learning models, conducting research on new AI techniques, and optimizing model performance. You will also be involved in data preprocessing, feature engineering, and deploying AI models into production environments. The ideal candidate will have a strong theoretical foundation in AI and extensive practical experience in programming languages commonly used in AI/ML (e.g., Python, TensorFlow, PyTorch). Excellent problem-solving skills, a creative mindset, and the ability to translate research into practical applications are essential. This position offers an unparalleled opportunity to work on transformative projects and shape the future of AI in **Tubli, Capital, BH** and globally.
Qualifications:
- 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 research and development, with a focus on machine learning and deep learning.
- Strong proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, scikit-learn.
- Experience with various AI model architectures (e.g., CNNs, RNNs, Transformers).
- Solid understanding of data structures, algorithms, and software development principles.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills.
- Proven track record of publishing research or contributing to significant AI projects.
Senior Materials Research Engineer
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Key Responsibilities:
- Lead research and development projects for new material formulations and manufacturing processes.
- Design and conduct rigorous experimental testing to evaluate material properties, performance, and durability under various conditions.
- Utilize advanced characterization techniques (e.g., SEM, TEM, DSC, TGA, Mechanical Testing) to analyze material structure and behavior.
- Develop and refine material processing techniques to optimize properties and ensure consistency.
- Perform failure analysis on materials and components to identify root causes and recommend corrective actions.
- Collaborate closely with engineering, manufacturing, and product development teams to integrate new materials into product designs.
- Prepare detailed technical reports, research proposals, and presentations of findings.
- Stay current with the latest advancements in materials science and engineering through literature review and conference participation.
- Mentor junior engineers and technicians, providing guidance and technical expertise.
- Manage laboratory equipment, consumables, and ensure adherence to safety standards.
- Contribute to the intellectual property portfolio through patent disclosures.
- Master's degree or Ph.D. in Materials Science, Materials Engineering, Chemical Engineering, or a related discipline.
- Minimum of 5-7 years of hands-on experience in materials research and development, with a focus on advanced composites, polymers, metals, or ceramics.
- Proficiency in a wide range of material characterization techniques and analytical instrumentation.
- Strong understanding of materials structure-property relationships and processing-performance correlations.
- Experience with experimental design and statistical analysis (DOE).
- Excellent problem-solving skills and a systematic approach to research.
- Strong technical writing and communication skills, with the ability to present complex information clearly.
- Demonstrated ability to lead projects and work effectively in a multidisciplinary team environment.
- Experience with simulation tools for material behavior is a plus.
- A passion for innovation and bringing new materials to market.
Senior AI Research Engineer
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Responsibilities:
- Conduct research and development in artificial intelligence and machine learning.
- Design, implement, and evaluate advanced AI algorithms and models.
- Develop prototypes for AI-powered applications and features.
- Analyze large datasets to extract insights and train AI models.
- Stay current with the latest AI research and industry trends.
- Collaborate with cross-functional teams to integrate AI solutions.
- Publish research findings and present at technical conferences.
- Contribute to the company's intellectual property through patents and publications.
- Write high-quality, efficient, and well-documented code.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 5 years of experience in AI research and development.
- Strong expertise in machine learning, deep learning, NLP, or computer vision.
- Proficiency in programming languages like Python, and AI frameworks such as TensorFlow or PyTorch.
- Experience with big data technologies and cloud platforms is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and presentation skills.
- Demonstrated ability to work independently and as part of a team.
Senior AI Research Engineer
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Key Responsibilities:
- Conduct advanced research in AI, machine learning, and deep learning.
- Develop and implement novel AI algorithms and models.
- Design, train, and evaluate machine learning systems.
- Deploy AI solutions into production environments.
- Collaborate with data scientists and engineers on AI projects.
- Stay updated on the latest research and advancements in AI.
- Contribute to patents and publish research findings.
- Optimize AI model performance and scalability.
- Explore and apply emerging AI technologies.
- Present research outcomes to technical and business stakeholders.
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- Minimum of 7 years of experience in AI research and development.
- Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy).
- Experience in areas such as NLP, computer vision, or reinforcement learning.
- Solid understanding of mathematical concepts underlying machine learning.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Publication record in top-tier AI conferences or journals is highly desirable.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Principal AI Research Engineer
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The ideal candidate will possess a profound understanding of machine learning algorithms, deep learning frameworks, and their applications across various domains. Responsibilities include:
- Lead the research and development of novel AI algorithms and models, focusing on areas such as natural language processing, computer vision, reinforcement learning, or generative AI.
- Design and implement robust machine learning pipelines, from data preprocessing and feature engineering to model training, evaluation, and deployment.
- Conduct thorough literature reviews and stay abreast of the latest advancements in AI research and emerging technologies.
- Collaborate with product managers and software engineers to integrate AI capabilities into existing and new products.
- Mentor and guide junior AI engineers and researchers, fostering knowledge sharing and technical excellence.
- Publish research findings in top-tier conferences and journals, contributing to the scientific community.
- Develop proof-of-concept prototypes and conduct rigorous experimentation to validate AI model performance.
- Architect scalable and efficient AI systems, considering factors like computational resources, data privacy, and ethical AI principles.
- Contribute to the company's intellectual property portfolio through patents and innovations.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of experience in AI research and development, with a strong publication record.
- Expertise in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in various machine learning algorithms (e.g., SVM, Random Forests, Gradient Boosting) and deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Excellent problem-solving abilities and a passion for tackling challenging AI problems.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
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Senior AI Research Engineer
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Responsibilities:
- Conduct advanced research in Artificial Intelligence, Machine Learning, Deep Learning, and related fields.
- Design, develop, and implement novel AI algorithms and models to solve complex problems.
- Work with large datasets, perform data preprocessing, feature engineering, and model training.
- Evaluate and optimize model performance, ensuring scalability and efficiency.
- Stay abreast of the latest research papers, techniques, and tools in AI and Machine Learning.
- Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products and services.
- Develop and maintain robust AI/ML pipelines and infrastructure.
- Publish research findings in top-tier conferences and journals.
- Mentor junior engineers and contribute to the growth of the AI research team.
- Contribute to the development of intellectual property and patent applications.
- Present research findings and project progress to stakeholders.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in AI/ML research and development, with a strong publication record.
- Expertise in programming languages such as Python, R, and proficiency with AI/ML frameworks like TensorFlow, PyTorch, scikit-learn.
- Deep understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration skills, with the ability to explain complex technical concepts clearly.
- Experience in areas like Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning is highly desirable.
- Proven ability to lead research initiatives and mentor team members.
Senior AI Research Engineer
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Key responsibilities include conducting in-depth research into areas such as deep learning, natural language processing, computer vision, and reinforcement learning. You will develop and implement novel AI algorithms, train and evaluate models, and optimize their performance for real-world applications. The role involves collaborating with cross-functional teams, including product managers and software engineers, to translate research findings into scalable AI products. The successful candidate will possess strong programming skills in languages like Python, with expertise in AI frameworks such as TensorFlow, PyTorch, or Keras. A deep understanding of data science principles, statistical modeling, and big data technologies is essential. This position demands creativity, analytical rigor, and a passion for pushing the boundaries of AI. You will have the opportunity to publish research, present at conferences, and contribute to the intellectual property of the company. We are looking for a self-starter with a proven ability to lead research initiatives and mentor junior engineers. Experience with cloud platforms (AWS, Azure, GCP) and MLOps is highly desirable. This role offers a stimulating environment for impactful work and professional growth.
Qualifications:
- Ph.D. or Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of experience in AI research and development, with a strong publication record in top-tier conferences or journals.
- Expertise in one or more AI subfields (e.g., Deep Learning, NLP, Computer Vision).
- Proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of algorithms, data structures, and software development principles.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and lead research projects.
Senior AI Research Engineer
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