111 Machine Learning jobs in Bahrain
Machine Learning Engineer
1004 BH Busaiteen, Muharraq
BHD90000 Annually
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Our client is looking for a highly skilled and innovative Machine Learning Engineer to join their advanced technology division based in Busaiteen, Muharraq, BH . This role is central to developing, implementing, and optimizing machine learning models that drive intelligent solutions and enhance product capabilities. The Machine Learning Engineer will work on the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Key responsibilities include building scalable ML pipelines, experimenting with various algorithms to solve complex problems, and collaborating with data scientists and software engineers to integrate ML models into production systems. You will be responsible for monitoring model performance, identifying areas for improvement, and staying abreast of the latest advancements in machine learning and AI. The ideal candidate will possess a Master's or PhD in Computer Science, Statistics, or a related field, with a strong foundation in machine learning theory and practical application. Proven experience in programming languages like Python, familiarity with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn), and experience with big data technologies are crucial. Excellent analytical and problem-solving skills, along with the ability to work effectively in a collaborative, fast-paced environment, are essential. This is an exciting chance to contribute to innovative AI projects in Busaiteen and shape the future of technology with our client.
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Machine Learning Engineer
451 Busaiteen, Muharraq
BHD7000 Annually
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Our client is looking for a talented Machine Learning Engineer to join our innovative AI & Emerging Technologies team in Busaiteen, Muharraq, BH . This role is central to developing and deploying advanced machine learning models that drive our product development and enhance user experiences. You will work with large datasets, build predictive models, and implement machine learning solutions in production environments.
Responsibilities:
Responsibilities:
- Design, develop, and implement machine learning algorithms and models.
- Process, clean, and transform large datasets for machine learning tasks.
- Build and maintain data pipelines for model training and evaluation.
- Collaborate with data scientists and software engineers to deploy ML models into production.
- Monitor and optimize the performance of deployed models.
- Conduct experiments to test and validate different ML approaches.
- Stay current with the latest advancements in machine learning and AI.
- Document models, algorithms, and processes clearly and concisely.
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
- Proven experience (2+ years) as a Machine Learning Engineer or in a similar role.
- Strong programming skills in Python and experience with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Proficiency in data manipulation and analysis using libraries like Pandas and NumPy.
- Experience with SQL and NoSQL databases.
- Familiarity with cloud platforms (AWS, Azure, GCP) and ML deployment tools.
- Solid understanding of machine learning concepts, algorithms, and best practices.
- Excellent problem-solving abilities and attention to detail.
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1
Machine Learning Engineer
51501 Al Malikiyah, Northern
BHD90000 Annually
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Our client is at the forefront of innovation and is seeking a talented Machine Learning Engineer to join their cutting-edge team in Salmabad, Northern, BH . This role is perfect for an individual passionate about developing and implementing advanced machine learning models and algorithms that solve complex business problems. You will work with large datasets, design experiments, build scalable ML pipelines, and deploy models into production environments. Collaboration with data scientists, software engineers, and product managers will be key to success.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Build and maintain scalable ML pipelines for data preprocessing, feature engineering, model training, and deployment.
- Collaborate with cross-functional teams to identify business needs and translate them into ML solutions.
- Evaluate and optimize model performance using rigorous testing and validation techniques.
- Stay current with the latest advancements in AI and machine learning research.
- Deploy ML models into production environments, ensuring reliability and efficiency.
- Work with big data technologies and cloud platforms.
- Develop and maintain documentation for ML models and processes.
- Contribute to the overall AI strategy and roadmap of the company.
- Present findings and insights to stakeholders at various levels.
Qualifications:
- 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 a production setting.
- Proficiency in programming languages such as Python, R, or Scala.
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Strong understanding of statistical modeling, data mining, and predictive analytics.
- Familiarity with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Experience with version control systems like Git.
- Ability to work effectively in an agile development environment.
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2
Machine Learning Engineer (AI)
701 Al Malikiyah, Northern
BHD100000 Annually
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Our client is at the forefront of AI innovation and is seeking a talented Machine Learning Engineer to join their cutting-edge team in **Salmabad, Northern, BH**. This role is critical in developing and deploying advanced machine learning models and algorithms that drive our client's next generation of intelligent products and services. You will be involved in the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Responsibilities include designing, building, and maintaining scalable ML pipelines, experimenting with various ML algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), and optimizing model performance for accuracy and efficiency. You will also collaborate closely with data scientists, software engineers, and product managers to translate business requirements into practical AI solutions. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, with a strong foundation in machine learning theory and practical application. Proven experience in developing and deploying machine learning models in production environments is essential. Proficiency in Python and common ML libraries is a must. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is highly desirable. We are looking for a proactive problem-solver with a passion for AI and a desire to push the boundaries of what's possible. Excellent communication skills are needed to explain complex technical concepts to diverse audiences. This is an exceptional opportunity to work on groundbreaking AI projects and contribute to shaping the future of technology.
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Lead Machine Learning Engineer
1010 Hamad Town, Northern
BHD140000 Annually
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Our client is looking for a visionary Lead Machine Learning Engineer to drive innovation in AI and Emerging Technologies from their offices in Hamad Town, Northern, BH . This leadership position will involve conceptualizing, developing, and deploying cutting-edge machine learning models and algorithms to solve complex business problems. You will lead a team of talented data scientists and ML engineers, guiding them through the entire ML lifecycle, from data acquisition and preprocessing to model training, evaluation, and deployment. Responsibilities include researching and implementing state-of-the-art ML techniques, developing production-ready ML pipelines, and establishing best practices for model monitoring and retraining. The ideal candidate will have extensive experience with deep learning frameworks such as TensorFlow or PyTorch, and a strong understanding of various ML domains like natural language processing, computer vision, and predictive analytics. You will collaborate with product managers and business units to identify opportunities where AI can provide significant value. This role requires a strong analytical mindset, excellent problem-solving skills, and the ability to translate business needs into technical ML solutions. Experience with MLOps and cloud-based ML platforms (e.g., AWS SageMaker, Azure ML) is highly desirable. You will also be responsible for evaluating and integrating new technologies, and mentoring junior members of the team. This is an exceptional opportunity to shape the future of AI within a forward-thinking organization.
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4
Principal Machine Learning Engineer
1105 Riffa, Southern
BHD120000 Annually
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Our client is seeking a highly accomplished and visionary Principal Machine Learning Engineer to join their advanced AI research and development team in Riffa, Southern, BH . This leadership role will involve architecting, developing, and deploying sophisticated machine learning models and systems that drive innovation and solve complex business challenges. The Principal ML Engineer will play a key role in defining the technical direction for AI initiatives, mentoring junior engineers, and collaborating with cross-functional teams to bring cutting-edge AI solutions to life. Responsibilities include designing and implementing scalable ML pipelines, conducting advanced research in areas such as deep learning, natural language processing, and computer vision, developing and optimizing algorithms for performance and efficiency, evaluating and selecting appropriate ML frameworks and tools, and ensuring the robustness and reliability of deployed models. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a minimum of 7 years of professional experience in machine learning. Deep expertise in Python, TensorFlow, PyTorch, and other relevant ML libraries is essential. Proven experience in deploying machine learning models into production environments and a strong understanding of software engineering best practices are required. Excellent problem-solving skills, a passion for cutting-edge technology, and the ability to lead and influence technical decisions are critical. This is an exceptional opportunity to work at the forefront of AI technology and contribute to groundbreaking projects in a highly stimulating environment.
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Senior Machine Learning Engineer
202 Al Hidd
BHD135000 Annually
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Our client is seeking a highly skilled Senior Machine Learning Engineer to contribute to cutting-edge projects in **Sitra, Capital, BH**. This pivotal role will involve designing, developing, and deploying advanced machine learning models and systems that solve complex problems across various domains. The ideal candidate will possess a deep understanding of ML algorithms, statistical modeling, and practical experience with deep learning frameworks and MLOps. Responsibilities include conceptualizing and implementing machine learning solutions, from data preprocessing and feature engineering to model training, evaluation, and deployment. You will be responsible for optimizing model performance, ensuring scalability, and maintaining production-level ML systems. This role involves collaborating closely with data scientists, software engineers, and product managers to translate business requirements into functional AI capabilities. You will also play a key role in identifying new opportunities for leveraging machine learning and staying abreast of the latest research and technological advancements in the field. Strong experience with cloud platforms (AWS, Azure, GCP) and their associated ML services is essential. The Senior Machine Learning Engineer will guide the technical direction for ML projects, mentor junior engineers, and contribute to the development of robust ML pipelines and infrastructure. Exceptional problem-solving skills, a strong programming foundation (Python is essential), and experience with big data technologies are required. The successful candidate will have a proven track record of delivering impactful machine learning solutions in real-world applications. A passion for innovation and a commitment to building efficient, scalable, and reliable ML systems are paramount. Join our client to push the boundaries of AI and develop solutions that drive significant business value.Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Build and optimize data pipelines for ML model training and deployment.
- Collaborate with data scientists and stakeholders to define project requirements.
- Deploy machine learning models into production environments.
- Monitor and maintain the performance of deployed ML systems.
- Conduct rigorous testing and validation of ML models.
- Research and apply new machine learning techniques and technologies.
- Optimize ML models for scalability, efficiency, and accuracy.
- Develop and maintain MLOps practices and infrastructure.
- Mentor junior machine learning engineers and contribute to team knowledge sharing.
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 6+ years of hands-on experience in machine learning engineering.
- Expertise in Python and popular ML libraries (scikit-learn, TensorFlow, PyTorch).
- Proven experience with cloud ML platforms (e.g., AWS SageMaker, Azure ML).
- Strong understanding of MLOps principles and tools.
- Experience with big data technologies (e.g., Spark, Hadoop).
- Excellent programming skills and software development best practices.
- Strong analytical and problem-solving capabilities.
- Ability to work effectively in a collaborative team environment.
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Lead Machine Learning Engineer
30272 Saar, Northern
BHD130000 Annually
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Our client, a dynamic startup at the forefront of AI-driven innovation, is seeking an experienced and visionary Lead Machine Learning Engineer to contribute to their groundbreaking work in Saar, Northern, BH . This role offers the opportunity to spearhead the development and deployment of sophisticated machine learning systems that power cutting-edge products and services. You will lead a team of talented engineers, mentor junior members, and guide the technical direction of our client's ML initiatives. The ideal candidate will possess a strong foundation in machine learning principles, algorithms, and best practices, with a demonstrated ability to build, train, and deploy production-ready ML models. Extensive experience with cloud platforms (AWS, Azure, GCP), MLOps, and model deployment strategies is essential. Responsibilities include designing scalable ML architectures, optimizing model performance, and ensuring the reliability and efficiency of ML pipelines. You will collaborate closely with data scientists and software engineers to integrate ML solutions into existing systems and develop new applications. A Master's or Ph.D. in Computer Science, Engineering, or a related field, along with a substantial track record of leading ML projects from conception to deployment, is required. Excellent programming skills in Python, Java, or Scala, and familiarity with ML libraries and frameworks (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) are critical. If you are a passionate leader eager to drive innovation in the AI space and build impactful machine learning solutions, this is the role for you.
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Senior Machine Learning Engineer
10870 Riffa, Southern
BHD115000 Annually
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Our client is seeking a highly skilled and experienced Senior Machine Learning Engineer to join their innovative team in **Riffa, Southern, BH**. This role is pivotal in developing, deploying, and maintaining robust machine learning models and systems that drive business growth and enhance product capabilities. You will work on challenging problems, leveraging state-of-the-art techniques in machine learning, deep learning, and data science. The Senior Machine Learning Engineer will be responsible for the end-to-end ML lifecycle, from data collection and preprocessing to model training, evaluation, and deployment into production environments. Key responsibilities include designing and implementing scalable ML pipelines, optimizing model performance, and collaborating with software engineers and data scientists to integrate ML solutions into existing products and services. You will also mentor junior engineers, contribute to the ML platform's development, and stay abreast of the latest advancements in the field. The ideal candidate will have a strong background in software engineering principles, a deep understanding of statistical modeling, and hands-on experience with ML frameworks and tools. Excellent problem-solving skills, a passion for building data-driven products, and the ability to translate complex technical concepts into clear insights are essential. We are looking for an individual who can take ownership of projects, drive innovation, and deliver high-quality, production-ready ML solutions. This is an exciting opportunity to be at the forefront of AI development and make a significant impact.Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in machine learning engineering or a related role.
- Strong proficiency in Python and relevant ML libraries (e.g., Scikit-learn, Pandas, NumPy).
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proven experience in deploying ML models into production environments using MLOps practices.
- Solid understanding of software development principles, including version control (Git) and CI/CD.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Familiarity with big data technologies (e.g., Spark, Hadoop).
- Excellent analytical, debugging, and problem-solving skills.
- Strong communication and collaboration abilities.
- Experience in model optimization and performance tuning.
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8
Senior AI Engineer - Machine Learning
22740 Al Hajar
BHD120000 Annually
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Our client, a rapidly growing technology firm at the forefront of AI and emerging technologies in A'ali, Northern, BH , is seeking a Senior AI Engineer with a specialization in Machine Learning. This role is critical in developing, implementing, and optimizing advanced machine learning models and algorithms to solve complex business problems. You will be part of an innovative team pushing the boundaries of artificial intelligence.
The ideal candidate will have a strong background in computer science, data science, or a related field, coupled with extensive experience in developing and deploying ML models in production environments. Expertise in Python, TensorFlow, PyTorch, and other ML frameworks is essential. You will be responsible for the full ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Strong analytical skills, a passion for innovation, and the ability to work collaboratively in a fast-paced environment are key.
Key Responsibilities:
Qualifications:
The ideal candidate will have a strong background in computer science, data science, or a related field, coupled with extensive experience in developing and deploying ML models in production environments. Expertise in Python, TensorFlow, PyTorch, and other ML frameworks is essential. You will be responsible for the full ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Strong analytical skills, a passion for innovation, and the ability to work collaboratively in a fast-paced environment are key.
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Process, clean, and transform large datasets for model training.
- Conduct feature engineering and selection for improved model performance.
- Train, evaluate, and fine-tune ML models using various frameworks (TensorFlow, PyTorch).
- Deploy ML models into production environments and monitor their performance.
- Collaborate with data scientists and software engineers to integrate AI solutions.
- Research and stay current with the latest advancements in AI and machine learning.
- Optimize model performance and scalability.
- Contribute to the development of AI strategies and roadmaps.
- Mentor junior engineers and share knowledge.
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 6 years of experience in machine learning engineering or a related role.
- Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch, Keras).
- Experience with cloud platforms (AWS, Azure, GCP) for ML deployments.
- Strong understanding of various ML algorithms (supervised, unsupervised, deep learning).
- Experience with data processing and big data technologies (e.g., Spark).
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
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