720 Emerging Technology Fields jobs in Abu Saiba
Machine Learning Engineer
501 Al Markh
BHD85000 Annually
WhatJobs
Posted 11 days ago
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Job Description
Join an innovative tech company as a Machine Learning Engineer, contributing to cutting-edge AI and emerging technology projects. This fully remote role offers the chance to work on challenging problems and develop sophisticated machine learning models. You will be responsible for designing, building, and deploying ML systems, as well as collaborating with data scientists and software engineers to integrate AI solutions into our product offerings. Key responsibilities include data preprocessing, feature engineering, model training, evaluation, and optimization. You will also stay abreast of the latest research and advancements in the field of artificial intelligence and machine learning. The ideal candidate will have a strong background in computer science, statistics, or a related quantitative field, with proven experience in developing and implementing machine learning algorithms. Proficiency in programming languages such as Python, along with experience in ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (e.g., AWS, Azure, GCP), is essential. Experience with large-scale data processing and distributed computing is highly desirable. This role is based remotely, supporting advancements impacting the technological landscape near Tubli, Capital, BH . We are looking for a creative and analytical individual who is passionate about leveraging AI to solve real-world problems and drive innovation. You will play a crucial role in shaping the future of our AI initiatives.
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0
AI & Machine Learning Engineer
45678 Saar, Northern
BHD110000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Are you a visionary AI and Machine Learning Engineer passionate about building the future? Our client is seeking a highly skilled and innovative professional to join their fully remote, cutting-edge team. This role is pivotal in developing and deploying advanced AI solutions that will transform industries and redefine possibilities. You will work on challenging projects, pushing the boundaries of what's possible with artificial intelligence and machine learning, all from the convenience of your home office.
As an AI & Machine Learning Engineer, you will be instrumental in designing, building, and implementing sophisticated machine learning models. You'll work with vast datasets, employing state-of-the-art algorithms and tools to extract meaningful insights and create intelligent systems. This position demands a strong analytical mindset, exceptional programming skills, and a deep understanding of AI/ML principles. You will collaborate with a global team of experts, contributing to a remote-first culture that values innovation, collaboration, and continuous learning.
Responsibilities:
As an AI & Machine Learning Engineer, you will be instrumental in designing, building, and implementing sophisticated machine learning models. You'll work with vast datasets, employing state-of-the-art algorithms and tools to extract meaningful insights and create intelligent systems. This position demands a strong analytical mindset, exceptional programming skills, and a deep understanding of AI/ML principles. You will collaborate with a global team of experts, contributing to a remote-first culture that values innovation, collaboration, and continuous learning.
Responsibilities:
- Design, develop, and implement advanced machine learning models and algorithms.
- Process, clean, and analyze large-scale datasets to extract actionable insights.
- Build and deploy AI-powered solutions for various applications.
- Evaluate model performance, identify areas for improvement, and iterate on solutions.
- Stay abreast of the latest research and advancements in AI and machine learning.
- Collaborate with software engineers and data scientists to integrate ML models into production systems.
- Develop and maintain robust MLOps pipelines for model training, deployment, and monitoring.
- Contribute to the overall AI strategy and roadmap of the company.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
- Participate in code reviews and contribute to a high standard of code quality.
- Work effectively in a fully remote, asynchronous and synchronous collaboration environment.
- Mentor junior team members and share knowledge.
- Research and experiment with new AI technologies and frameworks.
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- Proven experience in developing and deploying machine learning models in production.
- Strong proficiency in programming languages such as Python, R, or Scala.
- Expertise in ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Solid understanding of statistical modeling, data mining, and machine learning algorithms.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills for remote teamwork.
- Ability to work independently and manage time effectively in a remote setting.
- Experience with MLOps practices and tools is a plus.
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1
Remote Machine Learning Engineer
210 Saar, Northern
BHD115000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client, a leader in the AI and Emerging Technologies sector, is seeking a highly skilled and experienced Remote Machine Learning Engineer to join their innovative product development team. This is a fully remote position, offering the flexibility to work from any location. You will be instrumental in designing, building, and deploying robust machine learning models and systems that power our client's cutting-edge products. The ideal candidate possesses a strong foundation in machine learning principles, software engineering best practices, and experience with MLOps. You will collaborate closely with data scientists, software engineers, and product managers to translate complex data into actionable insights and intelligent features. This role requires a passion for applied AI, a meticulous approach to engineering, and the ability to thrive in a collaborative, remote environment. Responsibilities include:
- Developing, training, and evaluating machine learning models for production deployment.
- Designing and implementing scalable ML pipelines for data processing, feature engineering, and model inference.
- Working with various machine learning algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Collaborating with data scientists to productionize research models.
- Building and maintaining robust data infrastructure to support ML workflows.
- Implementing MLOps best practices for model versioning, deployment, monitoring, and retraining.
- Optimizing model performance for efficiency and scalability.
- Writing clean, maintainable, and well-documented code.
- Troubleshooting and resolving issues in ML systems and pipelines.
- Staying current with advancements in machine learning and AI technologies.
- Working in an agile development environment, participating in sprint planning and reviews.
- Contributing to the design and architecture of ML-driven features and products.
- Ensuring the responsible and ethical application of AI technologies.
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
- Minimum of 4 years of professional experience in machine learning engineering or a related role.
- Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Keras, scikit-learn).
- Proven experience in deploying machine learning models into production environments.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Experience with MLOps tools and workflows (e.g., MLflow, Kubeflow, Docker, Kubernetes).
- Solid understanding of software engineering principles and best practices.
- Experience with data processing frameworks (e.g., Spark) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills, adept at working within a remote team.
- Ability to work independently and manage multiple priorities effectively.
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2
Senior Machine Learning Engineer
5001 Al Daih, Northern
BHD130000 Annually
WhatJobs
Posted 18 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled Senior Machine Learning Engineer to join their innovative AI and Emerging Technologies division. This role offers a unique blend of remote flexibility and collaborative in-office engagement, contributing to the development and deployment of cutting-edge machine learning models and systems. You will be responsible for designing, building, and maintaining robust ML pipelines, optimizing algorithms, and driving the application of AI across various business functions. The ideal candidate possesses a strong theoretical understanding of ML concepts coupled with practical experience in implementing and scaling ML solutions.
Key Responsibilities:
Location Highlight: This role involves a hybrid work model, with specific requirements for in-office presence and remote work, based out of the Budaiya, Northern, BH office.
Key Responsibilities:
- Develop, train, and deploy machine learning models for diverse applications, including predictive analytics, recommendation systems, and anomaly detection.
- Design and implement scalable ML pipelines for data processing, feature engineering, model training, and deployment.
- Optimize model performance, efficiency, and accuracy through rigorous experimentation and evaluation.
- Collaborate with data scientists, software engineers, and product managers to integrate ML solutions into existing products and services.
- Conduct research into new ML techniques and technologies to identify opportunities for innovation.
- Ensure the reliability, scalability, and maintainability of ML systems in production environments.
- Build and maintain data infrastructure and tooling required for ML development and deployment.
- Troubleshoot and resolve issues related to ML models and pipelines.
- Mentor junior engineers and contribute to the team's technical growth.
- Stay current with the latest trends and advancements in machine learning and artificial intelligence.
Location Highlight: This role involves a hybrid work model, with specific requirements for in-office presence and remote work, based out of the Budaiya, Northern, BH office.
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3
Lead Machine Learning Engineer
400 Al Daih, Northern
BHD130000 Annually
WhatJobs
Posted 19 days ago
Job Viewed
Job Description
Our client is seeking an accomplished Lead Machine Learning Engineer to spearhead the development and deployment of advanced AI solutions within a fully remote capacity. This pivotal role requires a visionary individual who can guide a team of talented engineers and researchers in building cutting-edge machine learning models and platforms. You will be responsible for the end-to-end lifecycle of ML projects, from data acquisition and preprocessing to model training, evaluation, and production deployment. We are a remote-first organization that thrives on innovation and collaboration, fostering an environment where your expertise in AI and emerging technologies can flourish. The ideal candidate possesses a deep understanding of various ML algorithms, deep learning frameworks, and MLOps practices. You will work closely with product teams to identify opportunities where AI can provide significant business value and translate complex requirements into practical, scalable ML systems. This is an exceptional opportunity to shape the future of AI at our company and make a tangible impact on our products and services. The successful candidate will demonstrate strong leadership qualities, excellent communication skills, and a passion for pushing the boundaries of what's possible with artificial intelligence. We value diversity and encourage applications from individuals with unique perspectives and experiences.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of machine learning models and algorithms.
- Manage the full ML project lifecycle, including data engineering, feature selection, model training, evaluation, and deployment.
- Develop and maintain robust MLOps pipelines for model monitoring, retraining, and versioning.
- Collaborate with data scientists, software engineers, and product managers to integrate ML models into production systems.
- Stay abreast of the latest research and advancements in AI and machine learning.
- Mentor and guide junior ML engineers and data scientists.
- Define and enforce best practices for ML development and deployment.
- Identify new opportunities for leveraging AI and machine learning to solve business problems.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- 7+ years of experience in machine learning engineering or a related role.
- Proven track record of successfully deploying ML models into production environments.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong proficiency in Python and relevant ML libraries (e.g., Scikit-learn, Pandas, NumPy).
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Solid understanding of MLOps principles and tools (e.g., MLflow, Kubeflow).
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent leadership, communication, and interpersonal skills.
- Ability to work independently and effectively in a remote, collaborative team environment.
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4
Senior Machine Learning Engineer
20002 Saar, Northern
BHD120000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client is looking for a highly skilled Senior Machine Learning Engineer to join their elite, fully remote engineering team. This is a premier opportunity to architect, develop, and deploy cutting-edge machine learning models and systems that drive significant business impact. You will be responsible for the entire ML lifecycle, from data acquisition and preprocessing to model training, evaluation, deployment, and monitoring. The ideal candidate will have a strong foundation in computer science, statistics, and machine learning algorithms, with a proven ability to translate complex business problems into scalable ML solutions. This role demands deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch), experience with big data technologies (e.g., Spark, Hadoop), and proficiency in programming languages like Python. You will work on challenging projects involving areas such as natural language processing, computer vision, recommendation systems, or predictive analytics. As a senior member of the team, you will mentor junior engineers, contribute to technical strategy, and collaborate closely with product managers and data scientists. This position requires a Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field, along with a minimum of 6 years of hands-on experience in machine learning development and deployment. Exceptional problem-solving skills, a passion for continuous learning, and the ability to thrive in a fast-paced, remote environment are essential. You must be a proactive communicator, capable of explaining intricate technical concepts to both technical and non-technical audiences. The company is committed to fostering innovation and provides a collaborative, high-performance remote culture. Responsibilities include designing and implementing ML pipelines, optimizing model performance, conducting A/B testing, and ensuring the reliability and scalability of deployed models. You will also be involved in researching and implementing state-of-the-art ML techniques and contributing to the company's intellectual property through patents and publications. This is a chance to work with massive datasets and make a tangible difference through advanced AI and ML applications. The successful candidate will possess strong software engineering skills, including experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
Responsibilities:
Responsibilities:
- Design, build, and deploy machine learning models and systems.
- Develop and maintain scalable ML pipelines and infrastructure.
- Perform data preprocessing, feature engineering, and model selection.
- Train, evaluate, and optimize ML models for performance and accuracy.
- Implement and manage model deployment, monitoring, and retraining strategies.
- Collaborate with product teams to understand business needs and translate them into ML solutions.
- Research and apply state-of-the-art machine learning algorithms and techniques.
- Mentor junior machine learning engineers and contribute to team knowledge sharing.
- Optimize ML code and infrastructure for efficiency and scalability.
- Contribute to the technical roadmap and strategy for ML initiatives.
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field.
- Minimum of 6 years of professional experience in machine learning engineering.
- Expertise in deep learning frameworks (TensorFlow, PyTorch).
- Proficiency in Python and common ML libraries (scikit-learn, pandas, numpy).
- Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of ML algorithms, statistical modeling, and data mining techniques.
- Experience with MLOps practices and tools.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration abilities for remote work.
- Experience with NLP, computer vision, or recommendation systems is a plus.
This advertiser has chosen not to accept applicants from your region.
5
Senior Machine Learning Engineer
89012 Saar, Northern
BHD135000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client, a rapidly expanding AI startup focused on developing intelligent automation solutions, is seeking a Senior Machine Learning Engineer to join their talented and fully remote engineering team. In this role, you will be instrumental in designing, building, and deploying robust machine learning models and systems that power our innovative products. You will work with large datasets, cutting-edge ML frameworks, and cloud infrastructure to solve challenging real-world problems. This is an exciting opportunity for a driven engineer to contribute to a fast-paced, innovation-centric environment with a strong emphasis on remote collaboration and professional development.
Key Responsibilities:
Required Qualifications:
Key Responsibilities:
- Design, develop, train, and deploy machine learning models for various applications, including predictive analytics, natural language processing, and computer vision.
- Build and maintain scalable ML pipelines for data processing, model training, and inference.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Optimize model performance, efficiency, and scalability.
- Conduct research on new ML algorithms and techniques to enhance product capabilities.
- Implement MLOps best practices for model monitoring, versioning, and deployment.
- Work with cloud platforms (AWS, Azure, GCP) and associated ML services.
- Write clean, well-documented, and maintainable code.
- Troubleshoot and resolve issues related to ML systems and models.
- Stay current with the latest advancements in machine learning and artificial intelligence.
- Mentor junior engineers and contribute to team knowledge sharing.
Required Qualifications:
- Master's or Ph.D. in Computer Science, Engineering, Statistics, or a related quantitative field.
- 5+ years of experience in machine learning engineering or a closely related role.
- Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proven experience in building and deploying production-level ML models.
- Solid understanding of ML algorithms, model evaluation techniques, and data preprocessing.
- Experience with cloud computing platforms and services (AWS, Azure, GCP).
- Familiarity with MLOps principles and tools.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving, analytical, and critical-thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
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6
Senior Machine Learning Engineer
00567 Al Daih, Northern
BHD125000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client is looking for a highly skilled Senior Machine Learning Engineer to join their innovative technology division. This role involves designing, building, and deploying robust machine learning systems that drive key business decisions and product enhancements. You will work with large datasets, develop sophisticated models, and ensure their seamless integration into production environments. The ideal candidate possesses a strong blend of theoretical knowledge in machine learning and practical engineering skills to deliver scalable and efficient ML solutions.
Core Responsibilities:
Essential qualifications include a Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field. A minimum of 6 years of experience in machine learning engineering or a closely related role is required. Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch is essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is highly desirable. Strong understanding of software development best practices and MLOps principles is expected. Excellent analytical and problem-solving skills are crucial. This role is based in Budaiya, Northern, BH .
Core Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Build and maintain scalable ML pipelines for data processing and model training.
- Deploy ML models into production environments and monitor their performance.
- Collaborate with data scientists and software engineers to integrate ML solutions.
- Optimize ML models for performance, efficiency, and scalability.
- Conduct research on new ML techniques and technologies.
- Troubleshoot and resolve issues related to ML systems.
- Ensure the quality and integrity of data used for ML model development.
- Document ML systems, processes, and code.
- Mentor junior engineers and contribute to team knowledge sharing.
Essential qualifications include a Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field. A minimum of 6 years of experience in machine learning engineering or a closely related role is required. Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch is essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is highly desirable. Strong understanding of software development best practices and MLOps principles is expected. Excellent analytical and problem-solving skills are crucial. This role is based in Budaiya, Northern, BH .
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7
Machine Learning Engineer - Computer Vision
555 Saar, Northern
BHD120000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a talented and innovative Machine Learning Engineer specializing in Computer Vision to join their cutting-edge AI research and development team. This is a fully remote position, offering a fantastic opportunity to contribute to groundbreaking projects from your home office. The ideal candidate will have a strong foundation in machine learning, deep learning, and computer vision algorithms, with hands-on experience in developing and deploying sophisticated CV models. You will be responsible for designing, implementing, and optimizing machine learning models for image and video analysis, object detection, recognition, and tracking.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement advanced machine learning models for computer vision applications.
- Perform data collection, annotation, preprocessing, and augmentation for training ML models.
- Experiment with various deep learning architectures and frameworks (e.g., TensorFlow, PyTorch).
- Train, evaluate, and fine-tune models to achieve high accuracy and performance.
- Develop and deploy ML models into production environments.
- Collaborate with software engineers to integrate CV capabilities into existing products and services.
- Conduct research into state-of-the-art computer vision techniques and algorithms.
- Optimize ML models for efficiency, speed, and scalability.
- Analyze and interpret model results, providing actionable insights.
- Stay current with advancements in the field of AI and computer vision.
Qualifications:
- Master's or PhD in Computer Science, Machine Learning, or a related quantitative field.
- 3+ years of hands-on experience in machine learning and deep learning, with a specialization in computer vision.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, OpenCV, Scikit-learn.
- Solid understanding of image processing techniques, convolutional neural networks (CNNs), and other CV algorithms.
- Experience with cloud platforms (AWS, Azure, GCP) for ML model training and deployment.
- Strong software engineering skills, including experience with version control (Git).
- Ability to work independently and manage multiple projects in a remote setting.
- Excellent problem-solving and analytical skills.
- Strong communication skills to present findings and collaborate with the team.
- Experience with large-scale datasets and distributed training is a plus.
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8
Lead Data Scientist - Machine Learning
811 Saar, Northern
BHD10000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is at the forefront of leveraging data to drive business innovation and is seeking a Lead Data Scientist specializing in Machine Learning to join their fully remote, world-class data science team. This is an exciting opportunity to shape the future of their products and services by developing and deploying advanced machine learning models that solve complex business challenges. You will lead projects from conception through to production, including data exploration, feature engineering, model selection, training, evaluation, and deployment. Your expertise will be critical in areas such as predictive modeling, natural language processing, computer vision, or recommendation systems, depending on business needs. You will work with large, complex datasets and utilize cutting-edge ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). A significant aspect of your role will involve collaborating with software engineers to integrate ML models into production systems and working with product managers to understand business requirements and translate them into data science solutions. You will also be responsible for mentoring junior data scientists, driving research initiatives, and contributing to the overall data science strategy and best practices within the organization. Strong programming skills in Python or R, along with extensive experience in SQL and data manipulation libraries, are essential. Proficiency in cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable. Excellent communication and presentation skills are necessary to effectively convey complex findings and insights to both technical and non-technical stakeholders. We are looking for a thought leader with a proven track record of delivering impactful ML solutions and a passion for pushing the boundaries of artificial intelligence. A Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field, coupled with 7+ years of professional experience in data science and machine learning, is required.
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