239 Machine Learning jobs in Bahrain
Machine Learning Engineer
44230 Al Hidd
BHD90000 Annually
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Our client is looking for an innovative and highly skilled Machine Learning Engineer to contribute to cutting-edge projects in Budaiya, Northern, BH . This role involves the design, development, and deployment of advanced machine learning models and algorithms. You will work on challenging problems across various domains, leveraging large datasets to extract valuable insights and build intelligent systems. Responsibilities include data preprocessing, feature engineering, model selection, training, evaluation, and deployment. You will stay abreast of the latest advancements in AI and ML, implementing state-of-the-art techniques to solve complex business challenges. Collaboration with data scientists, software engineers, and product managers is key to ensure successful integration of ML solutions into existing platforms. The ideal candidate possesses a strong foundation in computer science, mathematics, and statistics, with hands-on experience in popular ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Proficiency in programming languages like Python is essential, along with experience in big data technologies and cloud platforms (AWS, Azure, GCP). We seek a proactive individual with a passion for innovation, a keen eye for detail, and the ability to translate complex technical concepts into actionable solutions. Join us in pushing the boundaries of AI and making a significant impact.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Preprocess, clean, and engineer features from large, complex datasets.
- Train, evaluate, and optimize ML models for performance and accuracy.
- Deploy ML models into production environments using MLOps practices.
- Collaborate with data scientists and engineers to integrate ML solutions.
- Research and apply the latest AI and ML techniques and technologies.
- Develop and maintain documentation for ML models and pipelines.
- Monitor model performance in production and retrain as needed.
- Contribute to the development of AI strategy and roadmap.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- 3+ years of experience in machine learning engineering or data science with a focus on applied ML.
- Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Solid understanding of statistical modeling, data mining, and machine learning algorithms.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
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0
Machine Learning Engineer
20901 Seef, Capital
BHD120000 Annually
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Our client, a forward-thinking technology company at the forefront of AI innovation, is actively seeking a talented and experienced Machine Learning Engineer to contribute to cutting-edge projects in Jidhafs, Capital, BH . This role is pivotal in designing, developing, and deploying advanced machine learning models and algorithms that solve complex business challenges. The ideal candidate will possess a strong foundation in computer science, mathematics, and statistics, coupled with hands-on experience in building and deploying ML systems. You will be responsible for data preprocessing, feature engineering, model training, evaluation, and deployment, working with large datasets and state-of-the-art ML frameworks. This position requires expertise in programming languages such as Python, and familiarity with ML libraries like TensorFlow, PyTorch, or scikit-learn. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML solutions into production environments. The successful candidate will have a deep understanding of various ML techniques, including supervised, unsupervised, and deep learning. This is an exceptional opportunity for a passionate individual to work on challenging problems, contribute to groundbreaking research, and impact the future of artificial intelligence. We are looking for a proactive problem-solver with a strong aptitude for learning and adapting to new technologies. Your ability to translate complex technical concepts into practical solutions and your commitment to ethical AI practices will be highly valued. Your work will be instrumental in driving innovation and creating intelligent systems that transform industries.
Responsibilities:
Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Perform data preprocessing, feature engineering, and data analysis to prepare datasets for model training.
- Train, evaluate, and optimize machine learning models for performance and accuracy.
- Deploy machine learning models into production environments.
- Collaborate with data scientists and software engineers to integrate ML solutions into existing systems.
- Stay current with the latest advancements in AI and machine learning research and techniques.
- Develop and maintain robust MLOps pipelines for model deployment and monitoring.
- Conduct experiments and research to explore new ML approaches.
- Write clean, efficient, and well-documented code.
- Communicate technical findings and model performance to stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 4-6 years of experience in machine learning engineering or data science.
- Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid understanding of statistical modeling, algorithms, and machine learning concepts.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Proven experience in data preprocessing, feature engineering, and model evaluation.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with big data technologies (e.g., Spark) is a plus.
- Published research in reputable ML conferences or journals is a plus.
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1
Machine Learning Engineer
00170 Zallaq, Southern
BHD125000 Annually
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Our client is seeking a highly skilled Machine Learning Engineer to join their innovative team focused on developing advanced AI solutions in **Zallaq, Southern, BH**. This role is critical for designing, building, and deploying sophisticated machine learning models that drive business intelligence and create impactful applications. The ideal candidate will have a strong background in statistical modeling, deep learning, and a passion for leveraging data to solve complex problems.
Key Responsibilities:
Qualifications:
This position offers a highly competitive salary, comprehensive benefits package, and the opportunity to work on groundbreaking AI projects.
Key Responsibilities:
- Design, develop, train, and deploy machine learning models and algorithms.
- Implement and manage data pipelines for model training and evaluation.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Optimize model performance for accuracy, scalability, and efficiency.
- Stay up-to-date with the latest advancements in machine learning, deep learning, and AI research.
- Develop robust testing and validation strategies for ML models.
- Monitor deployed models for performance drift and implement retraining strategies.
- Work with large datasets, performing feature engineering and selection.
- Contribute to the architectural design of ML platforms and infrastructure.
- Document model development processes, findings, and deployment procedures.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering or data science with a focus on model development and deployment.
- Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, Scikit-learn, Pandas).
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Solid understanding of various ML algorithms, including supervised, unsupervised, and deep learning techniques.
- Experience with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration abilities.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Ability to work effectively in a fast-paced, dynamic environment.
This position offers a highly competitive salary, comprehensive benefits package, and the opportunity to work on groundbreaking AI projects.
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2
Machine Learning Engineer
231 Hamala, Northern
BHD125000 Annually
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We are looking for a skilled Machine Learning Engineer to contribute to the development of advanced AI solutions for a forward-thinking company located in Sanad, Capital, BH . This role will involve building, training, and deploying machine learning models, and integrating them into production systems.
Key responsibilities include developing robust and scalable machine learning pipelines, from data preprocessing and feature engineering to model evaluation and deployment. You will collaborate with data scientists and software engineers to implement and optimize ML algorithms. Ensuring the performance, accuracy, and reliability of deployed models will be a core duty. You will also be responsible for monitoring model performance in production, identifying drift, and implementing retraining strategies. Contributing to the design and development of ML infrastructure and tooling is expected. Staying current with state-of-the-art ML techniques and contributing to the team's knowledge base are essential. You will also participate in code reviews and contribute to documentation.
The ideal candidate will hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field. Proven experience in building and deploying machine learning models in a production environment is required. Proficiency in programming languages such as Python, and experience with ML libraries and frameworks like Scikit-learn, TensorFlow, or PyTorch, are mandatory. Strong understanding of data structures, algorithms, and software engineering best practices is essential. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is highly desirable. Excellent analytical, problem-solving, and communication skills are crucial. Join our innovative team and help us build the next generation of AI-powered products.
Key responsibilities include developing robust and scalable machine learning pipelines, from data preprocessing and feature engineering to model evaluation and deployment. You will collaborate with data scientists and software engineers to implement and optimize ML algorithms. Ensuring the performance, accuracy, and reliability of deployed models will be a core duty. You will also be responsible for monitoring model performance in production, identifying drift, and implementing retraining strategies. Contributing to the design and development of ML infrastructure and tooling is expected. Staying current with state-of-the-art ML techniques and contributing to the team's knowledge base are essential. You will also participate in code reviews and contribute to documentation.
The ideal candidate will hold a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field. Proven experience in building and deploying machine learning models in a production environment is required. Proficiency in programming languages such as Python, and experience with ML libraries and frameworks like Scikit-learn, TensorFlow, or PyTorch, are mandatory. Strong understanding of data structures, algorithms, and software engineering best practices is essential. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is highly desirable. Excellent analytical, problem-solving, and communication skills are crucial. Join our innovative team and help us build the next generation of AI-powered products.
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3
Data Scientist - Machine Learning
7071 Bilad Al Qadeem, Capital
BHD100000 Annually
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Our client is looking for a highly skilled Data Scientist with expertise in Machine Learning to join their innovative research team in Salmabad, Northern, BH . This role is crucial for developing and implementing advanced analytical models and algorithms to extract insights from complex datasets. The Data Scientist will be responsible for the entire machine learning pipeline, from data collection and preprocessing to model training, evaluation, and deployment. You will collaborate with domain experts and engineers to identify business problems that can be solved with data-driven approaches and translate those into analytical projects. Key responsibilities include building predictive models, developing recommendation systems, and designing experiments to test hypotheses. The ideal candidate possesses a strong background in statistics, computer science, and machine learning techniques, with hands-on experience in programming languages like Python or R and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn). Excellent problem-solving skills, a passion for continuous learning, and the ability to communicate complex findings to both technical and non-technical audiences are essential. This position requires a rigorous, analytical mindset and a commitment to driving innovation through data.
Qualifications:
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Data Science, Mathematics, or a related quantitative field.
- Minimum of 4 years of experience as a Data Scientist or in a similar analytical role.
- Proven experience in developing and deploying machine learning models (e.g., regression, classification, clustering, deep learning).
- Proficiency in Python or R, including libraries such as pandas, NumPy, scikit-learn, TensorFlow, and PyTorch.
- Strong understanding of statistical concepts and experimental design.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent data visualization and communication skills, with the ability to present findings clearly.
- Ability to work independently and as part of a collaborative team.
- Strong SQL skills for data extraction and manipulation.
- A passion for uncovering insights and solving complex problems using data.
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4
Senior Machine Learning Engineer
10101 Seef, Capital
BHD130000 Annually
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Our client is seeking an experienced Senior Machine Learning Engineer to join their innovative team in Jidhafs, Capital, BH . This hybrid role offers the perfect blend of on-site collaboration and remote flexibility. As a Senior ML Engineer, you will be responsible for designing, building, and deploying sophisticated machine learning models and systems that solve complex business problems. You will work with large datasets, applying advanced algorithms and statistical techniques to extract insights and create predictive solutions. This role requires a deep understanding of ML algorithms, data structures, and software engineering best practices. You will collaborate with data scientists, software developers, and product managers to bring machine learning solutions from concept to production. Key responsibilities include developing and maintaining ML pipelines, ensuring the scalability and reliability of ML systems, and monitoring model performance in production. You will also mentor junior engineers and contribute to the team's technical strategy. The ideal candidate possesses a Master's or Ph.D. in Computer Science, Engineering, or a related quantitative field, with several years of hands-on experience in machine learning and MLOps. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, or scikit-learn is mandatory. Strong experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. You should have a proven ability to develop and deploy production-ready ML models, optimize model performance, and manage the ML lifecycle. Excellent communication and problem-solving skills are essential, as is the ability to work effectively in a collaborative, hybrid environment.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement production-grade machine learning models.
- Build and maintain scalable ML pipelines and infrastructure.
- Apply advanced algorithms and statistical techniques to analyze data.
- Collaborate with cross-functional teams to define ML project requirements.
- Optimize model performance, accuracy, and efficiency.
- Deploy ML models into production environments and monitor their behavior.
- Develop and implement MLOps practices and tools.
- Ensure the reliability, scalability, and maintainability of ML systems.
- Stay current with the latest advancements in machine learning and AI.
- Mentor junior engineers and provide technical guidance.
- Write clean, efficient, and well-documented code.
- Participate in code reviews and knowledge sharing sessions.
- Troubleshoot and resolve issues related to ML models and systems.
- Contribute to the technical roadmap and strategy for ML initiatives.
- Evaluate and integrate new ML technologies and tools.
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5
Senior Machine Learning Engineer
209 Seef, Capital
BHD110000 Annually
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Job Description
Our client, a leading innovator in the technology sector based in **Seef, Capital, BH**, is seeking a highly skilled Senior Machine Learning Engineer to design, develop, and deploy advanced machine learning models and systems. This role is crucial for enhancing our client's product offerings and driving data-driven decision-making across the organization. You will be responsible for the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment in production environments. This includes developing scalable ML pipelines, optimizing model performance, and collaborating with software engineers and product managers to integrate ML solutions into existing platforms. The ideal candidate will have a Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related field, combined with significant hands-on experience in building and deploying ML models. Expertise in Python and popular ML libraries/frameworks such as Scikit-learn, TensorFlow, or PyTorch is required. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is also highly valued. You should possess strong analytical and problem-solving skills, a deep understanding of various ML algorithms, and the ability to translate complex business problems into machine learning solutions. This position offers a stimulating work environment, opportunities for professional development, and the chance to work on challenging projects that impact millions of users in **Seef, Capital, BH**.
Qualifications:
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in machine learning engineering or a similar role.
- Proven experience in designing, building, and deploying production-ready ML models.
- Strong programming skills in Python and proficiency with ML libraries (Scikit-learn, TensorFlow, PyTorch).
- Experience with data manipulation and analysis tools (e.g., Pandas, NumPy).
- Familiarity with cloud platforms (AWS, Azure, GCP) and ML services.
- Understanding of MLOps principles and practices.
- Experience with big data technologies (Spark, Hadoop) is a plus.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work effectively in a collaborative, fast-paced environment.
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6
Lead Machine Learning Engineer
211 Zallaq, Southern
BHD9000 month
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A groundbreaking technology company specializing in AI and emerging technologies is looking for a Lead Machine Learning Engineer to contribute to their innovative projects in Zallaq, Southern, BH . This pivotal role involves designing, developing, and deploying scalable machine learning models and systems that solve complex real-world problems. The Lead Machine Learning Engineer will guide the technical direction for ML projects, mentor junior engineers, and ensure the quality and performance of AI solutions.
Key responsibilities include building and optimizing machine learning pipelines, from data preprocessing and feature engineering to model training, evaluation, and deployment. You will collaborate closely with product managers and software engineers to integrate ML capabilities into various platforms. This position requires a deep understanding of ML algorithms, statistical modeling, and software engineering best practices. A Master's or Ph.D. in Computer Science, Engineering, Statistics, or a related quantitative field is essential, along with a minimum of 6 years of experience in machine learning development and deployment. Expertise in Python and common ML libraries (scikit-learn, TensorFlow, PyTorch) is mandatory. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. Strong problem-solving, communication, and leadership skills are critical. The candidate should have a proven track record of delivering impactful ML solutions and a passion for staying abreast of the latest advancements in the field. This is an excellent opportunity to lead innovative AI initiatives and make a significant impact in a rapidly evolving technological landscape.
Key responsibilities include building and optimizing machine learning pipelines, from data preprocessing and feature engineering to model training, evaluation, and deployment. You will collaborate closely with product managers and software engineers to integrate ML capabilities into various platforms. This position requires a deep understanding of ML algorithms, statistical modeling, and software engineering best practices. A Master's or Ph.D. in Computer Science, Engineering, Statistics, or a related quantitative field is essential, along with a minimum of 6 years of experience in machine learning development and deployment. Expertise in Python and common ML libraries (scikit-learn, TensorFlow, PyTorch) is mandatory. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. Strong problem-solving, communication, and leadership skills are critical. The candidate should have a proven track record of delivering impactful ML solutions and a passion for staying abreast of the latest advancements in the field. This is an excellent opportunity to lead innovative AI initiatives and make a significant impact in a rapidly evolving technological landscape.
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7
Senior Machine Learning Engineer
750 Riffa, Southern
BHD95000 Annually
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Our client is seeking a talented and experienced Senior Machine Learning Engineer to join their advanced AI and data science team in **Riffa, Southern, BH**. This role is critical for the development and deployment of sophisticated machine learning models that drive business innovation and solve complex challenges. The ideal candidate will have a strong foundation in computer science, statistics, and machine learning algorithms, coupled with hands-on experience in building and deploying ML systems in production environments. You will work on cutting-edge projects, leveraging large datasets and advanced analytical techniques to create predictive models, recommendation systems, and intelligent automation solutions.
Key responsibilities include designing, developing, and implementing machine learning algorithms and models, from data preprocessing and feature engineering to model evaluation and optimization. You will be responsible for deploying models into production using MLOps best practices and ensuring their ongoing performance and scalability. The Senior Machine Learning Engineer will also collaborate with data scientists and software engineers to integrate ML models into larger applications and workflows. This role requires staying current with the latest research and advancements in machine learning and artificial intelligence, and applying this knowledge to practical business problems. You will play a key role in shaping the future of AI-driven products and services within the organization.
Qualifications:
Key responsibilities include designing, developing, and implementing machine learning algorithms and models, from data preprocessing and feature engineering to model evaluation and optimization. You will be responsible for deploying models into production using MLOps best practices and ensuring their ongoing performance and scalability. The Senior Machine Learning Engineer will also collaborate with data scientists and software engineers to integrate ML models into larger applications and workflows. This role requires staying current with the latest research and advancements in machine learning and artificial intelligence, and applying this knowledge to practical business problems. You will play a key role in shaping the future of AI-driven products and services within the organization.
Qualifications:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering or data science, with a focus on model development and deployment.
- Proficiency in programming languages such as Python, R, or Scala.
- Expertise in ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras).
- Strong understanding of various ML algorithms, including supervised, unsupervised, and deep learning techniques.
- Experience with MLOps tools and practices for model deployment, monitoring, and management.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
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8
AI/Machine Learning Engineer
901 Diplomatic Area
BHD110000 Annually
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Our client, a pioneering technology firm specializing in artificial intelligence and advanced analytics, is seeking a highly skilled AI/Machine Learning Engineer to contribute to innovative projects from their hub in Isa Town, Southern, BH . This role offers the opportunity to design, develop, and deploy cutting-edge AI and machine learning models that solve complex real-world problems. The ideal candidate will possess a strong theoretical foundation in machine learning algorithms, deep learning frameworks, and data science methodologies, coupled with practical experience in building and deploying production-ready AI solutions. Responsibilities include data preprocessing, feature engineering, model selection and training, performance evaluation, and deployment of ML models. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into effective AI solutions. Key technologies and skills required include proficiency in Python, experience with ML libraries such as TensorFlow, PyTorch, scikit-learn, and a solid understanding of cloud platforms like AWS, Azure, or GCP. Experience with big data technologies (e.g., Spark, Hadoop) is highly beneficial. The successful applicant will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, with a minimum of 4 years of relevant experience. A strong portfolio of ML projects and a deep understanding of MLOps principles are crucial. We are looking for a creative, analytical, and self-motivated individual eager to push the boundaries of AI and contribute to groundbreaking advancements in the field. This is an exceptional opportunity to work on challenging projects with a team of world-class experts.
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