512 AI Software Engineer jobs in Bahrain
Principal AI Software Engineer
701 Busaiteen, Muharraq
BHD160000 Annually
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Our client is seeking an exceptional Principal AI Software Engineer to lead groundbreaking development in artificial intelligence and machine learning solutions in **A'ali, Northern, BH**. This senior role involves designing, developing, and deploying sophisticated AI models and platforms that drive innovation across our product portfolio. You will be at the forefront of leveraging advanced algorithms, data science techniques, and robust software engineering practices to solve complex real-world problems.
As a Principal Engineer, you will provide technical leadership, mentor junior engineers, and influence the strategic direction of our AI initiatives. Your contributions will be critical in building scalable, efficient, and high-performance AI systems. This is an opportunity to work with cutting-edge technologies and make a significant impact on the future of intelligent software.
Key Responsibilities:
As a Principal Engineer, you will provide technical leadership, mentor junior engineers, and influence the strategic direction of our AI initiatives. Your contributions will be critical in building scalable, efficient, and high-performance AI systems. This is an opportunity to work with cutting-edge technologies and make a significant impact on the future of intelligent software.
Key Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models and algorithms for various applications.
- Build and maintain scalable, production-ready AI/ML pipelines and infrastructure.
- Lead the architectural design and implementation of AI-powered software features and products.
- Collaborate with product managers and data scientists to define AI project requirements and success metrics.
- Optimize model performance, efficiency, and accuracy for deployment in real-world environments.
- Conduct research on new AI techniques and technologies to identify opportunities for innovation.
- Write clean, maintainable, and well-documented code in languages such as Python, Java, or C++.
- Develop and implement robust testing strategies for AI models and software components.
- Mentor and guide junior software engineers and data scientists in AI/ML best practices.
- Stay abreast of the latest advancements in AI, machine learning, deep learning, and related fields.
- Champion best practices in software development, MLOps, and data engineering.
- Present technical findings and strategic recommendations to senior management and stakeholders.
- Ensure the ethical and responsible development and deployment of AI systems.
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 10 years of professional software engineering experience, with at least 5 years specializing in AI/ML development.
- Proven track record of designing, building, and deploying complex AI/ML models in production environments.
- Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch, Keras) and libraries (e.g., scikit-learn, NumPy, Pandas).
- Strong programming skills in Python and experience with other relevant languages (e.g., Java, C++).
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Proficiency in data engineering, database management, and distributed computing systems.
- Solid understanding of computer science fundamentals, including data structures, algorithms, and software design patterns.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership, communication, and collaboration abilities.
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Senior ML Engineer - Deep Learning
551 Diplomatic Area
BHD125000 Annually
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Our client, a pioneer in developing advanced artificial intelligence applications, is seeking a highly skilled Senior Machine Learning Engineer with expertise in Deep Learning to join their innovative research and development team. This is a fully remote position, offering the flexibility to work from anywhere. In this role, you will be at the forefront of developing and deploying sophisticated deep learning models to solve challenging problems in areas such as computer vision, natural language processing, and predictive analytics. Your responsibilities will include designing, training, and evaluating deep neural networks; implementing efficient model architectures; optimizing model performance for deployment on various platforms; collaborating with data scientists and software engineers to integrate ML models into production systems; conducting rigorous experimentation and analysis; and staying abreast of the latest advancements in deep learning research. You will also contribute to the development of scalable MLOps pipelines for continuous integration, deployment, and monitoring of machine learning models.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Electrical Engineering, Statistics, or a related field, with a strong focus on machine learning and deep learning. A minimum of 6 years of professional experience in machine learning engineering, with significant hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras, is required. You should have a proven ability to implement and optimize various deep learning architectures (CNNs, RNNs, Transformers). Experience with cloud computing platforms (AWS, Azure, GCP) and their associated ML services is essential. Excellent programming skills in Python, along with proficiency in libraries such as NumPy, Pandas, and Scikit-learn, are necessary. Strong analytical and problem-solving skills, coupled with outstanding communication and collaboration abilities suitable for a remote work environment, are critical. Familiarity with MLOps practices and tools is highly desirable. If you are a passionate deep learning expert looking to make a significant impact in a cutting-edge, fully remote role, we encourage you to apply.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Electrical Engineering, Statistics, or a related field, with a strong focus on machine learning and deep learning. A minimum of 6 years of professional experience in machine learning engineering, with significant hands-on experience in deep learning frameworks like TensorFlow, PyTorch, or Keras, is required. You should have a proven ability to implement and optimize various deep learning architectures (CNNs, RNNs, Transformers). Experience with cloud computing platforms (AWS, Azure, GCP) and their associated ML services is essential. Excellent programming skills in Python, along with proficiency in libraries such as NumPy, Pandas, and Scikit-learn, are necessary. Strong analytical and problem-solving skills, coupled with outstanding communication and collaboration abilities suitable for a remote work environment, are critical. Familiarity with MLOps practices and tools is highly desirable. If you are a passionate deep learning expert looking to make a significant impact in a cutting-edge, fully remote role, we encourage you to apply.
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AI Research Scientist - Deep Learning
24201 Al Jasra
BHD120000 Annually
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Our client is a cutting-edge technology company at the forefront of AI innovation, seeking a talented and driven AI Research Scientist specializing in Deep Learning. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking research and development in a collaborative and intellectually stimulating environment. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with a strong publication record in top-tier AI conferences and journals. You will be instrumental in designing, developing, and implementing advanced deep learning models for complex real-world problems. Key Responsibilities:
- Conduct advanced research in deep learning, including but not limited to neural networks, reinforcement learning, computer vision, and natural language processing.
- Design, implement, and evaluate novel AI algorithms and models.
- Develop and optimize deep learning architectures for performance and scalability.
- Collaborate with engineering teams to integrate research prototypes into production systems.
- Stay abreast of the latest advancements in AI and machine learning, identifying opportunities for application.
- Publish research findings in leading AI conferences and journals.
- Mentor junior researchers and engineers, fostering a culture of innovation and knowledge sharing.
- Contribute to the development of intellectual property and patent applications.
- Analyze large datasets to extract insights and inform model development.
- Present research results and progress to technical and non-technical audiences.
- Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
- Proven experience in developing and deploying deep learning models using frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python, C++, or similar languages.
- Solid understanding of machine learning principles, algorithms, and statistical modeling.
- Experience with large-scale data processing and distributed computing environments.
- A strong publication record in major AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote research environment.
- Excellent written and verbal communication skills.
- Passion for pushing the boundaries of artificial intelligence.
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AI Solutions Architect - Deep Learning
5003 Al Hidd
BHD120000 Annually
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Our client is at the forefront of AI innovation and is seeking a talented AI Solutions Architect specializing in Deep Learning to join their team based in **Budaiya, Northern, BH**. This hybrid role allows for a balance between collaborative office work and remote flexibility. As an AI Solutions Architect, you will be instrumental in designing, developing, and deploying cutting-edge AI and machine learning solutions for a variety of business challenges. You will work closely with clients and internal stakeholders to understand their needs, translate them into technical requirements, and architect robust, scalable, and efficient AI systems. This involves leveraging your expertise in deep learning frameworks, cloud platforms, and data science methodologies. Key responsibilities include: defining AI strategies and roadmaps; designing end-to-end AI/ML pipelines, from data ingestion and pre-processing to model training, evaluation, and deployment; selecting appropriate algorithms and technologies; developing proof-of-concepts; providing technical leadership and guidance to development teams; and staying abreast of the latest advancements in AI research and development. The ideal candidate will hold a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, along with a minimum of 6 years of hands-on experience in building and deploying deep learning models. Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, Keras), experience with cloud platforms (AWS, Azure, GCP), and strong understanding of MLOps principles are essential. Excellent communication and presentation skills are required to effectively articulate complex technical concepts to both technical and non-technical audiences. If you are passionate about leveraging AI to solve complex problems and are eager to contribute to groundbreaking projects in an innovative environment, this is the opportunity for you.
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Senior AI Research Scientist - Deep Learning
812, Muharraq Al Jasra
BHD90000 Annually
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Our client is seeking a highly motivated and experienced Senior AI Research Scientist to join their cutting-edge research team specializing in Deep Learning. This role is based in the vibrant city of Hidd, Muharraq, BH , offering a blend of on-site collaboration and remote flexibility. As a Senior AI Research Scientist, you will be at the forefront of developing novel AI algorithms and models that address complex real-world challenges. Your primary responsibilities will include conceptualizing, designing, implementing, and evaluating advanced deep learning architectures, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, for applications in areas like computer vision, natural language processing, and predictive analytics. You will conduct rigorous experiments, analyze results, and contribute to high-impact publications and internal technical reports. Collaboration is key; you will work closely with a multidisciplinary team of engineers, data scientists, and domain experts to translate research findings into practical solutions and product features. We expect you to stay abreast of the latest advancements in AI and machine learning, identifying opportunities to incorporate new techniques and technologies into our research pipeline. Mentoring junior researchers and providing technical guidance will also be an integral part of your role. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, coupled with a minimum of 5 years of hands-on research experience in deep learning. Proven expertise in Python programming and popular deep learning frameworks like TensorFlow, PyTorch, or Keras is essential. Strong understanding of mathematical concepts, including linear algebra, calculus, and probability, is required. Excellent problem-solving skills, a passion for innovation, and the ability to communicate complex technical ideas clearly and concisely are paramount. Experience with cloud platforms (AWS, GCP, Azure) and big data technologies is a plus. If you are a passionate researcher eager to make a significant impact in the field of AI, we encourage you to apply.
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4
Principal AI Research Scientist (Deep Learning)
1004 Riffa, Southern
BHD150000 Annually
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Our client, a world-renowned innovation hub, is actively seeking a highly accomplished and visionary Principal AI Research Scientist to lead groundbreaking research in Deep Learning. This is a fully remote, intellectually stimulating position where you will push the boundaries of artificial intelligence. As a Principal AI Research Scientist, you will be responsible for conceiving, developing, and implementing state-of-the-art deep learning models and algorithms to solve complex real-world problems. Your work will contribute to cutting-edge advancements in areas such as computer vision, natural language processing, and reinforcement learning. You will lead research projects from ideation through to prototype development and potential product integration, collaborating with a talented team of engineers and scientists. Key responsibilities include:
- Driving research initiatives in deep learning and related AI fields.
- Designing, developing, and evaluating novel deep learning architectures and algorithms.
- Mentoring junior researchers and engineers, fostering a collaborative research environment.
- Publishing research findings in top-tier conferences and journals.
- Translating research breakthroughs into practical applications and prototypes.
- Staying at the forefront of AI research by actively participating in the scientific community.
- Contributing to the strategic direction of the company's AI research roadmap.
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Remote Senior AI Engineer - Deep Learning
401 Diplomatic Area
BHD120000 Annually
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Our client is seeking a highly skilled and innovative Senior AI Engineer specializing in Deep Learning for a fully remote position. This role is critical to advancing our client's capabilities in developing sophisticated artificial intelligence solutions. You will be at the forefront of designing, building, and deploying cutting-edge deep learning models for a variety of applications, including natural language processing, computer vision, and predictive analytics. This position requires a deep understanding of machine learning algorithms, neural network architectures, and modern AI frameworks.
As a remote Senior AI Engineer, you will be responsible for the entire lifecycle of AI model development, from data preprocessing and feature engineering to model training, validation, and optimization. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to understand project requirements and deliver high-quality AI-driven products. Key responsibilities include researching and implementing state-of-the-art deep learning techniques, developing robust and scalable AI pipelines, and ensuring the ethical and responsible deployment of AI systems. You will also contribute to code reviews, mentor junior engineers, and stay current with the latest research and trends in the AI field.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 6 years of experience in AI and machine learning, with a strong focus on deep learning, is required. Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Proficiency in programming languages like Python, along with libraries such as NumPy, Pandas, and Scikit-learn, is a must. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Excellent problem-solving skills, strong analytical abilities, and the capacity to work independently in a remote setting are critical. You must possess outstanding communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. This is a remote role, offering flexibility and the opportunity to contribute to groundbreaking AI projects from anywhere.
As a remote Senior AI Engineer, you will be responsible for the entire lifecycle of AI model development, from data preprocessing and feature engineering to model training, validation, and optimization. You will collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to understand project requirements and deliver high-quality AI-driven products. Key responsibilities include researching and implementing state-of-the-art deep learning techniques, developing robust and scalable AI pipelines, and ensuring the ethical and responsible deployment of AI systems. You will also contribute to code reviews, mentor junior engineers, and stay current with the latest research and trends in the AI field.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 6 years of experience in AI and machine learning, with a strong focus on deep learning, is required. Proven experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras is essential. Proficiency in programming languages like Python, along with libraries such as NumPy, Pandas, and Scikit-learn, is a must. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Excellent problem-solving skills, strong analytical abilities, and the capacity to work independently in a remote setting are critical. You must possess outstanding communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. This is a remote role, offering flexibility and the opportunity to contribute to groundbreaking AI projects from anywhere.
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6
Senior AI Research Scientist - Deep Learning
450 Diplomatic Area
BHD120000 Annually
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Our client is seeking a highly motivated and experienced Senior AI Research Scientist to join their cutting-edge AI and Emerging Technologies division. This role will be based at our state-of-the-art facility in Isa Town, Southern, BH , with a hybrid working model that balances collaborative in-office sessions with remote flexibility.
As a Senior AI Research Scientist, you will be instrumental in driving innovation and pushing the boundaries of artificial intelligence. Your primary focus will be on developing and implementing advanced deep learning models for complex real-world problems. This includes designing novel neural network architectures, optimizing training procedures, and deploying robust AI solutions. You will work with large datasets, leverage state-of-the-art computational resources, and collaborate closely with a team of world-class researchers and engineers.
Key responsibilities include:
As a Senior AI Research Scientist, you will be instrumental in driving innovation and pushing the boundaries of artificial intelligence. Your primary focus will be on developing and implementing advanced deep learning models for complex real-world problems. This includes designing novel neural network architectures, optimizing training procedures, and deploying robust AI solutions. You will work with large datasets, leverage state-of-the-art computational resources, and collaborate closely with a team of world-class researchers and engineers.
Key responsibilities include:
- Conducting theoretical and applied research in machine learning, deep learning, and related AI fields.
- Developing and prototyping new algorithms and models for areas such as computer vision, natural language processing, and reinforcement learning.
- Collaborating with product teams to translate research findings into practical applications and product features.
- Staying abreast of the latest advancements in AI research and contributing to the scientific community through publications and presentations.
- Mentoring junior researchers and contributing to a culture of continuous learning and innovation.
- Evaluating and integrating new AI technologies and tools.
- Ensuring the ethical and responsible development and deployment of AI systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research publications in top-tier AI conferences and journals.
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python and experience with relevant libraries (e.g., NumPy, SciPy, Pandas).
- Familiarity with cloud computing platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and as part of a collaborative team.
- Experience with distributed training and large-scale data processing is a plus.
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Senior AI/ML Engineer - Deep Learning
101 Seef, Capital
BHD95000 Annually
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Our client is seeking a highly innovative and experienced Senior AI/ML Engineer with a specialization in Deep Learning to join their advanced technology division. This is a remote role focused on designing, developing, and deploying cutting-edge deep learning models and AI solutions. You will be instrumental in pushing the boundaries of AI by working on complex projects, contributing to the development of intelligent systems, and collaborating with a team of world-class researchers and engineers. The ideal candidate will possess a strong foundation in machine learning algorithms, deep neural networks, and proficiency in relevant programming languages and frameworks. Responsibilities include data preprocessing, model training, evaluation, optimization, and deployment into production environments. A passion for innovation and a commitment to staying at the forefront of AI research are essential.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced deep learning models for various applications, including computer vision, natural language processing, and reinforcement learning.
- Build and train sophisticated neural networks using frameworks such as TensorFlow, PyTorch, and Keras.
- Optimize model performance through techniques like hyperparameter tuning, regularization, and efficient architectures.
- Develop and maintain robust data pipelines for training and inference.
- Deploy deep learning models into production environments, ensuring scalability and reliability.
- Collaborate with data scientists and software engineers to integrate AI/ML solutions into products and services.
- Conduct research into new AI/ML techniques and technologies, evaluating their potential applications.
- Write clean, efficient, and well-documented code.
- Stay current with the latest advancements and publications in AI and deep learning.
- Participate in code reviews and contribute to the team's best practices.
- Present technical findings and project updates to stakeholders.
- Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 6 years of experience in AI/ML engineering, with a significant focus on deep learning.
- Proven experience in developing and deploying deep learning models in real-world applications.
- Expertise in Python and deep learning libraries (TensorFlow, PyTorch, Keras).
- Strong understanding of machine learning algorithms, statistical modeling, and data structures.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
- Excellent problem-solving skills and a passion for innovation.
- Strong communication and collaboration skills, suitable for remote teamwork.
- Ability to work independently and manage project timelines effectively.
- Experience with distributed training and parallel computing is advantageous.
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Remote AI Research Scientist - Deep Learning
55603 Southern, Southern
BHD120000 Annually
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Our client, a cutting-edge technology firm at the forefront of AI innovation, is looking for a brilliant and driven Remote AI Research Scientist specializing in Deep Learning. This is a fully remote position, offering the opportunity to work on groundbreaking projects that will shape the future of artificial intelligence. You will be instrumental in researching, developing, and implementing novel deep learning algorithms and models for a variety of applications, including natural language processing, computer vision, and reinforcement learning. Your core responsibilities will involve designing experiments, analyzing complex datasets, and pushing the boundaries of current AI capabilities.
You will contribute to the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Collaboration with other researchers, engineers, and product managers will be key to translating research breakthroughs into practical, scalable solutions. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong publication record in top-tier AI conferences and journals. Exceptional programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras are mandatory. You should possess a deep theoretical understanding of various neural network architectures, optimization techniques, and regularization methods. This role requires a highly analytical mind, exceptional problem-solving abilities, and a passion for exploring new frontiers in AI. As a fully remote team member, you must be self-motivated, possess excellent communication skills, and be adept at virtual collaboration.
Responsibilities:
Qualifications:
You will contribute to the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Collaboration with other researchers, engineers, and product managers will be key to translating research breakthroughs into practical, scalable solutions. The ideal candidate will have a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field, with a strong publication record in top-tier AI conferences and journals. Exceptional programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras are mandatory. You should possess a deep theoretical understanding of various neural network architectures, optimization techniques, and regularization methods. This role requires a highly analytical mind, exceptional problem-solving abilities, and a passion for exploring new frontiers in AI. As a fully remote team member, you must be self-motivated, possess excellent communication skills, and be adept at virtual collaboration.
Responsibilities:
- Conduct cutting-edge research in deep learning and artificial intelligence.
- Develop, implement, and evaluate novel deep learning models and algorithms.
- Work with large-scale datasets for training and testing AI models.
- Collaborate with a team of researchers and engineers to advance AI projects.
- Publish research findings in leading AI conferences and journals.
- Contribute to the development of AI products and solutions.
- Stay current with the latest advancements in AI and machine learning.
- Mentor junior researchers and contribute to the team's knowledge sharing.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven track record of research in deep learning, with publications in top-tier venues.
- Expertise in Python and major deep learning frameworks (TensorFlow, PyTorch, Keras).
- Strong understanding of machine learning theory, algorithms, and statistical modeling.
- Experience with various neural network architectures (CNNs, RNNs, Transformers).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for remote teamwork.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
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