342 Machine Learning Manager jobs in Bahrain
Senior AI Product Manager - Machine Learning Platforms
20121 Manama, Capital
BHD170000 Annually
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Our client is a leader in developing innovative AI solutions and is seeking a highly strategic and experienced Senior AI Product Manager to drive the vision and roadmap for their cutting-edge machine learning platforms. This role is instrumental in guiding the development of scalable, robust, and user-friendly ML platforms that empower data scientists, researchers, and engineers to build and deploy advanced AI models. You will bridge the gap between business needs, user requirements, and technical capabilities, ensuring our platforms deliver maximum value.
Responsibilities:
Responsibilities:
- Define and own the product strategy, roadmap, and requirements for machine learning platforms and related AI services.
- Conduct market research, competitive analysis, and user studies to identify opportunities and unmet needs.
- Translate complex user requirements and technical concepts into detailed product specifications and user stories.
- Collaborate closely with engineering, data science, UX/UI design, and marketing teams throughout the product development lifecycle.
- Prioritize features and manage the product backlog based on business impact, technical feasibility, and strategic alignment.
- Develop go-to-market strategies and work with marketing and sales teams to ensure successful product launches.
- Monitor product performance, gather user feedback, and iterate on features to drive continuous improvement.
- Champion the adoption and understanding of the ML platform across the organization.
- Stay abreast of the latest trends and advancements in AI, machine learning, MLOps, and cloud technologies.
- Effectively communicate product vision, strategy, and progress to stakeholders at all levels, including executive leadership.
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field; MBA or Master's degree is a plus.
- Minimum of 7 years of experience in product management, with a significant focus on AI, machine learning, or data platforms.
- Proven track record of successfully launching and managing complex technical products from ideation to market.
- Deep understanding of machine learning concepts, algorithms, and deployment best practices (MLOps).
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
- Strong analytical skills, with the ability to interpret data and make informed product decisions.
- Excellent communication, presentation, and interpersonal skills.
- Ability to influence cross-functional teams and manage stakeholders effectively.
- Experience with agile development methodologies.
- Passion for AI and a strong understanding of its potential impact across industries.
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0
AI/Machine Learning Engineer - Data Science
1301 Busaiteen, Muharraq
BHD90000 Annually
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Our client, a forward-thinking technology firm at the forefront of AI innovation, is seeking a highly skilled AI/Machine Learning Engineer to contribute to cutting-edge projects. This position is based in the tech hub of A'ali, Northern, BH , and offers a fully remote working arrangement. The AI/Machine Learning Engineer will be responsible for designing, developing, and deploying advanced machine learning models and AI solutions that solve complex business problems. Key responsibilities include data preprocessing and feature engineering, building and training predictive models using various algorithms, evaluating model performance, and implementing scalable AI systems. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into technical solutions. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field, with a strong academic record and practical experience. Proven experience in developing and implementing machine learning algorithms (e.g., regression, classification, clustering, deep learning) using frameworks such as TensorFlow, PyTorch, or scikit-learn is required. Proficiency in programming languages like Python or R, along with experience in big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP), is essential. Strong understanding of natural language processing (NLP), computer vision, or reinforcement learning is a plus. Excellent problem-solving skills, a passion for innovation, and the ability to work independently in a remote setting are crucial. This is an exceptional opportunity to work on challenging AI projects, contribute to groundbreaking research, and grow your career in a rapidly evolving field.
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1
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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2
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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3
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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4
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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5
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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6
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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7
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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8
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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