317 Mlops Engineer jobs in Bahrain
Principal AI Engineer - MLOps
00890 Seef, Capital
BHD160000 Annually
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We are seeking a highly experienced and visionary Principal AI Engineer specializing in MLOps to join our advanced AI development team in Jidhafs, Capital, BH . This senior role is instrumental in building, deploying, and managing scalable, robust, and efficient machine learning operations. The ideal candidate will possess deep expertise in the entire ML lifecycle, from model development and training to deployment, monitoring, and continuous improvement. You will be responsible for designing and implementing MLOps pipelines, automating workflows, and ensuring the reliability and performance of our AI models in production environments. This includes selecting and managing appropriate ML platforms, containerization technologies (Docker, Kubernetes), and CI/CD tools.
Your responsibilities will span across infrastructure management, model versioning, data pipelines, and performance monitoring. You will work closely with data scientists and software engineers to streamline the transition of models from research to production, ensuring reproducibility and scalability. A strong understanding of cloud computing platforms (AWS, Azure, GCP) and their AI/ML services is essential. Experience with distributed systems, microservices architecture, and performance optimization techniques is highly valued. You will also be involved in setting standards and best practices for MLOps within the organization, mentoring junior engineers, and driving innovation in our AI infrastructure. The ability to troubleshoot complex production issues and implement proactive solutions is critical. This is an unparalleled opportunity to lead the MLOps strategy for cutting-edge AI initiatives, significantly impacting the scalability and efficiency of our AI solutions.
Qualifications:
Your responsibilities will span across infrastructure management, model versioning, data pipelines, and performance monitoring. You will work closely with data scientists and software engineers to streamline the transition of models from research to production, ensuring reproducibility and scalability. A strong understanding of cloud computing platforms (AWS, Azure, GCP) and their AI/ML services is essential. Experience with distributed systems, microservices architecture, and performance optimization techniques is highly valued. You will also be involved in setting standards and best practices for MLOps within the organization, mentoring junior engineers, and driving innovation in our AI infrastructure. The ability to troubleshoot complex production issues and implement proactive solutions is critical. This is an unparalleled opportunity to lead the MLOps strategy for cutting-edge AI initiatives, significantly impacting the scalability and efficiency of our AI solutions.
Qualifications:
- Master's or Ph.D. in Computer Science, Engineering, or a related field.
- 8+ years of experience in software engineering or ML engineering, with a strong focus on MLOps.
- Proven experience designing and implementing end-to-end MLOps pipelines.
- Expertise in cloud platforms (AWS, Azure, GCP) and their ML services.
- Proficiency with containerization technologies (Docker, Kubernetes).
- Strong knowledge of CI/CD principles and tools.
- Experience with scripting languages (Python) and infrastructure as code.
- Deep understanding of machine learning workflows and model deployment strategies.
- Excellent problem-solving, communication, and leadership skills.
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0
Machine Learning Engineer
778 Southern, Southern
BHD95000 Annually
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Our client is a leader in AI and emerging technologies, seeking a talented Machine Learning Engineer to join their innovative team. This role offers a hybrid work arrangement based in **Nuwaidrat, Southern, BH**, allowing for a blend of in-office collaboration and remote work. You will be responsible for designing, building, and deploying machine learning models and pipelines that solve complex business problems. This involves working with large datasets, implementing cutting-edge algorithms, and ensuring the scalability and reliability of ML solutions. The ideal candidate will have a strong background in computer science, statistics, and machine learning, with hands-on experience in deploying ML models into production environments.
Responsibilities:
Qualifications:
Responsibilities:
- Develop, train, and deploy machine learning models using various algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Build and maintain scalable machine learning pipelines for data processing, feature engineering, and model evaluation.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Monitor model performance in production and implement strategies for continuous improvement and retraining.
- Perform data analysis and feature engineering to enhance model accuracy.
- Stay up-to-date with the latest advancements in machine learning and artificial intelligence.
- Design and implement experiments to test hypotheses and evaluate model performance.
- Ensure the responsible and ethical use of AI and machine learning technologies.
- Optimize ML models for performance, scalability, and efficiency.
- Communicate complex technical concepts to both technical and non-technical stakeholders.
- Troubleshoot and resolve issues related to ML model deployment and performance.
- Contribute to the documentation of ML models, pipelines, and processes.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field.
- Minimum of 4 years of experience in machine learning engineering or a related role.
- Strong programming skills in Python and experience with ML libraries.
- Proven experience in building and deploying machine learning models in production.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with SQL and NoSQL databases.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills.
- Ability to work effectively in a hybrid work environment.
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1
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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2
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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3
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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4
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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5
Senior Machine Learning Engineer
715 Al Jasra
BHD140000 Annually
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Our client, a pioneering technology company specializing in AI-driven solutions, is seeking an accomplished Senior Machine Learning Engineer to join their remote workforce. This role offers a unique opportunity to architect, build, and deploy sophisticated machine learning models that power innovative products and services. You will be a key contributor to the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment in production environments. Responsibilities include collaborating with data scientists and software engineers to integrate ML models into scalable applications, optimizing model performance for speed and accuracy, and developing robust MLOps pipelines for continuous integration and deployment. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Engineering, or a related field, with extensive hands-on experience in developing and deploying machine learning solutions. Strong programming skills in Python and proficiency with ML libraries such as Scikit-learn, TensorFlow, or PyTorch are essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. You should have a solid understanding of software engineering best practices, including version control (Git) and testing methodologies. Exceptional problem-solving skills and the ability to communicate complex technical concepts effectively are crucial for this role, particularly in a remote collaboration setting. If you are a seasoned ML professional eager to work on challenging projects and shape the future of AI remotely, we encourage your application.
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6
Senior Machine Learning Engineer
55566 Hamad Town, Northern
BHD110000 Annually
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Hamad Town, Northern, BH
Our client, a cutting-edge technology company specializing in AI-driven solutions, is seeking a Senior Machine Learning Engineer to join their fully remote, globally distributed team. This role is pivotal in developing and deploying advanced machine learning models that power our client's innovative products and services. You will work on challenging problems, leveraging large datasets to build, train, and optimize predictive models. As a Senior ML Engineer, you will be responsible for the end-to-end machine learning pipeline, from data preprocessing and feature engineering to model deployment and monitoring. Key responsibilities include researching and implementing state-of-the-art ML algorithms, developing robust and scalable ML systems, and collaborating with data scientists and software engineers to integrate ML capabilities into production environments. The ideal candidate will have extensive experience in machine learning, deep learning, and MLOps, with a strong foundation in software engineering principles. Proficiency in Python, along with deep experience in ML frameworks like TensorFlow, PyTorch, or scikit-learn, is essential. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is highly valued. A Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field is preferred. Excellent problem-solving skills, a passion for innovation, and the ability to work independently and communicate effectively in a remote setting are critical. Join our client and contribute to building intelligent systems that are transforming industries.
Responsibilities:
Our client, a cutting-edge technology company specializing in AI-driven solutions, is seeking a Senior Machine Learning Engineer to join their fully remote, globally distributed team. This role is pivotal in developing and deploying advanced machine learning models that power our client's innovative products and services. You will work on challenging problems, leveraging large datasets to build, train, and optimize predictive models. As a Senior ML Engineer, you will be responsible for the end-to-end machine learning pipeline, from data preprocessing and feature engineering to model deployment and monitoring. Key responsibilities include researching and implementing state-of-the-art ML algorithms, developing robust and scalable ML systems, and collaborating with data scientists and software engineers to integrate ML capabilities into production environments. The ideal candidate will have extensive experience in machine learning, deep learning, and MLOps, with a strong foundation in software engineering principles. Proficiency in Python, along with deep experience in ML frameworks like TensorFlow, PyTorch, or scikit-learn, is essential. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is highly valued. A Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field is preferred. Excellent problem-solving skills, a passion for innovation, and the ability to work independently and communicate effectively in a remote setting are critical. Join our client and contribute to building intelligent systems that are transforming industries.
Responsibilities:
- Design, build, and maintain scalable machine learning systems.
- Develop and implement advanced ML models and algorithms.
- Perform data preprocessing, feature engineering, and model evaluation.
- Deploy ML models into production environments (MLOps).
- Collaborate with data scientists and software engineers.
- Optimize ML models for performance and efficiency.
- Monitor deployed models and retrain as necessary.
- Research and apply new ML techniques and technologies.
- Contribute to the company's AI strategy and roadmap.
- Master's or PhD in Computer Science, AI, or a related field.
- Extensive experience in Machine Learning and Deep Learning.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with MLOps practices and tools.
- Strong software engineering skills.
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Knowledge of containerization (Docker, Kubernetes).
- Excellent analytical and problem-solving abilities.
- Proven ability to work independently in a remote team.
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7
Senior Machine Learning Engineer
1300 Hamad Town, Northern
BHD135000 Annually
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Our client is a leader in AI innovation, seeking a highly skilled Senior Machine Learning Engineer to contribute to the development of cutting-edge artificial intelligence solutions. This is a fully remote role where you will design, build, and deploy advanced machine learning models that solve complex business problems. You will work with large datasets, collaborate with data scientists and software engineers, and play a key role in advancing our AI capabilities. The ideal candidate possesses a strong background in machine learning algorithms, deep learning frameworks, and proficiency in programming languages such as Python.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Process and analyze large datasets to extract meaningful insights.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Build and maintain data pipelines for training and deploying ML models.
- Evaluate and improve the performance and scalability of ML models.
- Stay current with the latest research and advancements in machine learning and AI.
- Develop robust testing and validation strategies for ML models.
- Contribute to the development of MLOps practices and tools.
- Mentor junior engineers and share knowledge within the team.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- 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 a related role.
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of various ML algorithms, including supervised, unsupervised, and deep learning.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Excellent analytical, problem-solving, and communication skills.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Ability to work independently and collaboratively in a remote team environment.
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8
AI/Machine Learning Engineer
90027 Hamad Town, Northern
BHD100000 Annually
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Our client is looking for an innovative AI/Machine Learning Engineer to drive advancements in artificial intelligence and emerging technologies. This hybrid role offers a balanced work environment, combining remote flexibility with in-office collaboration. You will be responsible for designing, developing, and deploying machine learning models and AI solutions that address complex business challenges. The ideal candidate will have a strong foundation in machine learning algorithms, statistical modeling, and programming languages such as Python or R. Experience with deep learning frameworks like TensorFlow or PyTorch is highly desirable. Your responsibilities will include data preprocessing, feature engineering, model training and evaluation, and deployment of AI models into production environments. You will collaborate with data scientists, software engineers, and product managers to translate business needs into AI-driven solutions. We are seeking a creative and analytical individual with a passion for AI and a desire to work on groundbreaking projects. A Master's or Ph.D. in Computer Science, Data Science, or a related quantitative field is preferred. Excellent problem-solving skills and the ability to work effectively in a team are essential. This role is crucial in shaping the future of our AI initiatives and pushing the boundaries of what's possible. Key responsibilities include:
- Developing and implementing machine learning models
- Designing AI algorithms and solutions
- Preprocessing and analyzing large datasets
- Evaluating model performance and optimizing parameters
- Deploying AI systems into production
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