129 Machine Learning Manager jobs in Bahrain
Senior Program Manager (AI & Machine Learning)
103 Saar, Northern
BHD170000 Annually
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Our client is at the cutting edge of artificial intelligence and machine learning innovation and is actively seeking a distinguished Senior Program Manager to lead pivotal AI/ML initiatives. This is a fully remote opportunity for a seasoned leader passionate about bringing transformative AI solutions to market. You will be responsible for defining the strategy, roadmap, and execution of complex AI and machine learning programs from conception through to deployment and scaling. This involves managing cross-functional teams of data scientists, ML engineers, software developers, and product managers, ensuring seamless collaboration and alignment with strategic business objectives. Your role will encompass overseeing the entire program lifecycle, including resource allocation, budget management, risk mitigation, and stakeholder communication. You will play a crucial part in translating complex AI concepts into actionable project plans and ensuring the successful delivery of innovative products and services that leverage AI/ML capabilities. The ideal candidate possesses a Master's degree or PhD in a quantitative field such as Computer Science, Engineering, Statistics, or a related discipline, coupled with extensive program management experience specifically within the AI/ML domain. A deep understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and AI infrastructure is essential. Proven experience in managing end-to-end AI/ML product development, from research and prototyping to production deployment and monitoring, is required. Exceptional leadership, communication, and problem-solving skills are paramount, along with the ability to influence and collaborate effectively with diverse technical and business teams. As a remote-first company, we champion asynchronous communication and leverage advanced collaboration tools to foster a highly productive and inclusive virtual environment. This is an unparalleled opportunity to shape the future of AI and drive significant business impact. Join our world-class team and contribute to groundbreaking advancements in artificial intelligence.
Responsibilities:
Qualifications:
Responsibilities:
- Define and drive the program strategy and roadmap for AI/ML initiatives.
- Manage all phases of the AI/ML program lifecycle, from ideation to production.
- Lead and mentor cross-functional teams of data scientists, ML engineers, and software developers.
- Oversee program budgets, resource allocation, and timelines.
- Identify, assess, and mitigate program risks and dependencies.
- Ensure successful delivery of AI/ML products and features that meet business goals.
- Communicate program status, challenges, and successes to executive leadership and stakeholders.
- Foster a collaborative and innovative environment for AI/ML development.
- Collaborate with product management to define AI/ML product requirements.
- Stay abreast of the latest advancements in AI and machine learning.
Qualifications:
- Master's or PhD in Computer Science, Engineering, Statistics, or a related quantitative field.
- 7+ years of experience in program management, with a strong focus on AI/ML.
- Deep understanding of machine learning algorithms, deep learning frameworks, and AI platforms.
- Proven experience managing end-to-end AI/ML product development lifecycles.
- Excellent leadership, communication, and stakeholder management skills.
- Ability to translate complex technical concepts for diverse audiences.
- Experience with Agile methodologies in an AI/ML context.
- Ability to thrive in a fully remote, fast-paced environment.
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0
Machine Learning Engineer
00755 Northern, Northern
BHD130000 Annually
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Our client, a leader in leveraging cutting-edge AI, is seeking a talented Machine Learning Engineer to join their innovative team. This fully remote role will focus on the design, development, and deployment of machine learning models and systems that solve complex business problems. You will work closely with data scientists and software engineers to bring theoretical models into production-ready solutions. Responsibilities include building and maintaining scalable ML pipelines, developing robust data preprocessing and feature engineering techniques, implementing and optimizing ML algorithms, conducting rigorous A/B testing and performance evaluation, and deploying models into production environments using cloud platforms and containerization technologies. The ideal candidate will possess a strong background in software engineering principles, a deep understanding of machine learning concepts, and practical experience with ML frameworks such as TensorFlow or PyTorch. Proficiency in programming languages like Python and experience with cloud platforms (AWS, Azure, GCP) are essential. We are looking for a candidate who is passionate about automation, data-driven decision-making, and creating impactful AI solutions. Strong problem-solving skills, excellent communication, and the ability to collaborate effectively in a remote setting are crucial. Join our dynamic team and contribute to developing next-generation AI technologies that are transforming industries. This is an excellent opportunity to work on challenging and rewarding projects, pushing the boundaries of what's possible with machine learning. Your expertise will be vital in ensuring our AI initiatives are not only innovative but also scalable and reliable, driving tangible business value.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, build, and maintain production-grade machine learning systems and pipelines.
- Develop and implement data processing, feature engineering, and model training strategies.
- Optimize ML models for performance, scalability, and efficiency.
- Deploy ML models into production environments using CI/CD and MLOps practices.
- Collaborate with data scientists to translate research models into deployable applications.
- Monitor and maintain deployed ML models, ensuring accuracy and reliability.
- Stay up-to-date with the latest advancements in ML research and technology.
Qualifications:
- Master's or Ph.D. in Computer Science, Data Science, or a related quantitative field.
- 3+ years of experience in machine learning engineering or a similar role.
- Strong programming skills in Python and experience with ML libraries (e.g., Scikit-learn, XGBoost).
- Proficiency with deep learning frameworks (TensorFlow, PyTorch).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Solid understanding of software development best practices.
- Excellent problem-solving and analytical skills.
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1
Machine Learning Engineer
1010 Bilad Al Qadeem, Capital
BHD110000 Annually
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Our client is seeking a talented and experienced Machine Learning Engineer to contribute to their innovative AI development initiatives in **Tubli, Capital, BH**. This role is essential for designing, building, and deploying scalable machine learning models and systems that power advanced AI applications. The Machine Learning Engineer will work closely with data scientists and software engineers to bring cutting-edge AI solutions from concept to production.
Key responsibilities include developing, training, and evaluating machine learning models using various algorithms and frameworks. You will be responsible for optimizing model performance, ensuring scalability, and integrating ML models into existing software systems and production environments. The Machine Learning Engineer will also contribute to data pipeline development, feature engineering, and model deployment strategies. Collaboration with cross-functional teams to understand project requirements, identify challenges, and propose effective ML-driven solutions is paramount. Staying abreast of the latest advancements in machine learning research and applying them to practical problems will be a core aspect of the role.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field, with a specialization in Machine Learning. A minimum of 3-5 years of professional experience in machine learning engineering or a related role is required. Proficiency in programming languages such as Python, along with extensive experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is essential. Strong understanding of software engineering principles, MLOps practices, and experience with cloud platforms (AWS, Azure, GCP) are highly desirable. Excellent problem-solving, analytical, and communication skills are necessary. This hybrid role offers a dynamic work environment in **Tubli, Capital, BH**, with the flexibility to work remotely on certain days, contributing to groundbreaking AI projects.
Key responsibilities include developing, training, and evaluating machine learning models using various algorithms and frameworks. You will be responsible for optimizing model performance, ensuring scalability, and integrating ML models into existing software systems and production environments. The Machine Learning Engineer will also contribute to data pipeline development, feature engineering, and model deployment strategies. Collaboration with cross-functional teams to understand project requirements, identify challenges, and propose effective ML-driven solutions is paramount. Staying abreast of the latest advancements in machine learning research and applying them to practical problems will be a core aspect of the role.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field, with a specialization in Machine Learning. A minimum of 3-5 years of professional experience in machine learning engineering or a related role is required. Proficiency in programming languages such as Python, along with extensive experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn), is essential. Strong understanding of software engineering principles, MLOps practices, and experience with cloud platforms (AWS, Azure, GCP) are highly desirable. Excellent problem-solving, analytical, and communication skills are necessary. This hybrid role offers a dynamic work environment in **Tubli, Capital, BH**, with the flexibility to work remotely on certain days, contributing to groundbreaking AI projects.
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2
Lead Machine Learning Engineer
678 Tubli
BHD120000 Annually
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Our client is seeking an innovative and experienced Lead Machine Learning Engineer to spearhead the development and deployment of cutting-edge AI solutions. This is a critical role where you will lead a team of talented engineers in designing, building, and optimizing machine learning models that drive business innovation and deliver significant value. You will be responsible for the end-to-end lifecycle of ML projects, from data preprocessing and feature engineering to model training, evaluation, and deployment into production environments. The ideal candidate will have a profound understanding of various machine learning algorithms, deep learning frameworks, and statistical modeling techniques. You should possess strong programming skills in languages like Python, coupled with extensive experience using ML libraries such as TensorFlow, PyTorch, and scikit-learn. We are looking for a strategic thinker with a proven track record of delivering robust and scalable ML systems. You will mentor junior engineers, foster a collaborative research environment, and stay at the forefront of advancements in AI and machine learning. Your expertise will be instrumental in identifying new opportunities for applying ML to solve complex business challenges. This role requires excellent problem-solving skills, strong analytical capabilities, and the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. You will play a key role in shaping the future of our AI capabilities and driving data-driven decision-making across the organization. The ability to research, experiment, and implement novel approaches to challenging problems is essential.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of machine learning models.
- Manage and mentor a team of machine learning engineers.
- Develop and implement data preprocessing and feature engineering pipelines.
- Train, evaluate, and optimize ML models for performance and scalability.
- Deploy ML models into production environments using MLOps best practices.
- Conduct research on new ML algorithms and technologies.
- Collaborate with data scientists and software engineers to integrate ML solutions.
- Ensure the ethical and responsible use of AI and ML.
- Monitor and maintain deployed ML models.
- Communicate technical findings and recommendations to stakeholders.
- Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related quantitative field.
- 5+ years of experience in machine learning engineering or a related role.
- Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of ML algorithms, deep learning, and statistical modeling.
- Experience with MLOps and deploying models to production.
- Experience with cloud platforms (AWS, Azure, GCP).
- Excellent problem-solving and analytical skills.
- Strong leadership and team management abilities.
- Excellent communication and presentation skills.
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3
Senior Machine Learning Engineer
5542 Bilad Al Qadeem, Capital
BHD115000 Annually
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Our client is seeking a highly skilled Senior Machine Learning Engineer to join their innovative, fully remote AI team. This role is crucial for designing, building, and deploying advanced machine learning models and systems that drive intelligent solutions. You will be responsible for the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment into production environments. Your expertise will be essential in developing and optimizing algorithms for various applications, including predictive modeling, natural language processing, computer vision, and recommendation systems. The ideal candidate possesses a strong foundation in computer science, statistical modeling, and deep learning frameworks. You should have hands-on experience with Python and popular ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). This position requires a proactive approach to problem-solving, a keen understanding of software engineering best practices, and the ability to translate complex business requirements into scalable ML solutions. You will collaborate closely with data scientists, software engineers, and product managers to ensure the successful integration of ML models into our products and services. As a remote team member, you must be highly motivated, possess excellent communication skills, and be adept at managing your workload independently while fostering strong team collaboration. This is an exceptional opportunity to work on challenging AI projects, contribute to cutting-edge research and development, and make a significant impact on our technological advancements. We are looking for a passionate engineer who thrives in a dynamic, remote environment and is eager to push the boundaries of machine learning applications.
Responsibilities:
Responsibilities:
- Design, develop, and deploy machine learning models and algorithms.
- Implement and maintain ML pipelines for data processing, model training, and evaluation.
- Optimize ML models for performance, scalability, and efficiency.
- Collaborate with data scientists and engineers to integrate ML solutions into production systems.
- Conduct research and experimentation to explore new ML techniques and applications.
- Ensure the quality, reliability, and maintainability of ML code and systems.
- Monitor and analyze the performance of deployed ML models.
- Stay current with the latest advancements in machine learning and AI.
- Document ML processes, models, and code.
- Master's or Ph.D. in Computer Science, Data Science, or a related quantitative field.
- Minimum of 5 years of experience in machine learning engineering or data science.
- Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Knowledge of various ML algorithms, including supervised, unsupervised, and deep learning.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Solid understanding of software engineering principles and version control (e.g., Git).
- Excellent problem-solving, analytical, and communication skills.
- Proven ability to work effectively in a remote, collaborative team environment.
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4
Principal Machine Learning Engineer
500 Al Daih, Northern
BHD140000 Annually
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Posted 2 days ago
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Our client is at the forefront of innovation in AI and Emerging Technologies, seeking a highly experienced and visionary Principal Machine Learning Engineer to join their dynamic team in Budaiya, Northern, BH . This senior role will involve designing, developing, and deploying state-of-the-art machine learning models and systems that drive our client's cutting-edge products and services. The ideal candidate possesses a deep understanding of ML algorithms, software engineering best practices, and a proven ability to lead complex technical projects. You will be instrumental in shaping the future of AI applications.
Responsibilities:
Responsibilities:
- Lead the design, implementation, and optimization of advanced machine learning models and algorithms.
- Develop scalable and robust ML pipelines for data processing, feature engineering, model training, and deployment.
- Collaborate with data scientists, software engineers, and product managers to translate business requirements into technical solutions.
- Mentor junior machine learning engineers and contribute to team growth and knowledge sharing.
- Evaluate and integrate new ML technologies and tools to enhance our ML capabilities.
- Ensure the performance, scalability, and reliability of ML systems in production.
- Conduct research and stay abreast of the latest advancements in machine learning and artificial intelligence.
- Optimize model performance and resource utilization.
- Develop and maintain comprehensive documentation for ML models and systems.
- Contribute to architectural decisions and technical strategy for ML initiatives.
- Present findings and technical designs to cross-functional teams and leadership.
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 7+ years of experience in machine learning engineering, with a significant focus on developing and deploying production-level ML systems.
- Expertise in core ML algorithms, including deep learning (CNNs, RNNs, Transformers), reinforcement learning, and classical ML techniques.
- Proficiency in programming languages such as Python, with extensive experience using ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of software engineering principles, including version control (Git), CI/CD, and testing methodologies.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark, Dask).
- Proven ability to architect and build scalable ML infrastructure.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and leadership skills, with the ability to guide technical teams.
- Experience with MLOps practices and tools is highly desirable.
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5
Senior Machine Learning Engineer
230 Zallaq, Southern
BHD130000 Annually
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Posted 2 days ago
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Our client is actively seeking a talented Senior Machine Learning Engineer to join their innovative team based in Zallaq, Southern, BH . This role offers a unique blend of cutting-edge AI development and practical application, contributing to the creation of intelligent systems that solve complex real-world problems. You will be responsible for designing, building, and deploying machine learning models and infrastructure, working closely with data scientists and software engineers. This hybrid position allows for flexibility while ensuring close collaboration and team synergy.
Responsibilities:
Responsibilities:
- Design, develop, and implement scalable machine learning models and algorithms.
- Build and maintain robust ML pipelines for data preprocessing, feature engineering, model training, and deployment.
- Collaborate with data scientists to translate research prototypes into production-ready systems.
- Optimize model performance for accuracy, efficiency, and scalability.
- Develop and manage MLOps practices, including model monitoring, versioning, and automated retraining.
- Work with large datasets, ensuring data quality and integrity throughout the ML lifecycle.
- Stay current with the latest advancements in machine learning and AI technologies.
- Contribute to the design and architecture of our ML platform.
- Troubleshoot and resolve issues related to ML models and infrastructure.
- Mentor junior engineers and share best practices within the team.
- Effectively communicate technical concepts and findings to both technical and non-technical stakeholders.
- Master's degree or Ph.D. in Computer Science, Engineering, Statistics, or a related quantitative field.
- 5+ years of experience in machine learning engineering or a related role.
- Proficiency in Python and deep understanding of ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong experience with cloud platforms (AWS, Azure, GCP) and their ML services.
- Expertise in building and deploying machine learning models in production environments.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with MLOps tools and methodologies (e.g., MLflow, Kubeflow, Docker, Kubernetes).
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
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6
Senior Machine Learning Engineer
2211 Manama, Capital
BHD170000 Annually
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Posted 2 days ago
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Our client is at the cutting edge of AI innovation and is seeking a highly skilled Senior Machine Learning Engineer to join our advanced research and development team. This role is integral to designing, building, and deploying sophisticated machine learning models that solve complex business challenges and drive product innovation. You will be instrumental in pushing the boundaries of what's possible with AI, working with large datasets and state-of-the-art algorithms.
Responsibilities:
This is a key on-site role, requiring a strong collaborative presence within our state-of-the-art research facilities. Our client is committed to fostering a culture of innovation and providing its employees with challenging and rewarding projects. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Data Science, or a related quantitative field, with significant experience in machine learning engineering. Proven expertise in programming languages such as Python and libraries like TensorFlow, PyTorch, scikit-learn, and Keras is essential. Strong understanding of distributed computing frameworks (e.g., Spark) and cloud platforms (AWS, Azure, GCP) is required. Experience with MLOps tools and practices is highly desirable. Excellent problem-solving, analytical, and communication skills are critical. You should be adept at working with large datasets and tackling complex algorithmic challenges. We are looking for an innovative thinker with a passion for AI and a track record of delivering impactful machine learning solutions. Join a team that is shaping the future of artificial intelligence and making a real-world difference.
Location: This role is based in Manama, Capital, BH .
Responsibilities:
- Design, develop, and implement scalable machine learning models and algorithms for various applications, including natural language processing, computer vision, and predictive analytics.
- Collaborate with data scientists and software engineers to translate machine learning models into production-ready systems.
- Process, clean, and transform large and complex datasets to prepare them for model training.
- Evaluate model performance, tune hyperparameters, and iterate on model development to achieve optimal results.
- Stay abreast of the latest research and advancements in machine learning and artificial intelligence.
- Develop and maintain robust data pipelines and ML infrastructure to support model deployment and monitoring.
- Implement and manage MLOps best practices for version control, testing, and deployment of machine learning models.
- Conduct experiments and feasibility studies for new AI/ML approaches and technologies.
- Work closely with product management to understand business requirements and translate them into technical specifications.
- Provide technical leadership and mentorship to junior machine learning engineers.
- Ensure the ethical and responsible development and deployment of AI systems.
- Document research findings, model architectures, and implementation details thoroughly.
- Contribute to the company's intellectual property through patents and publications.
- Debug and resolve issues in production ML systems.
- Present findings and progress to both technical and non-technical audiences.
This is a key on-site role, requiring a strong collaborative presence within our state-of-the-art research facilities. Our client is committed to fostering a culture of innovation and providing its employees with challenging and rewarding projects. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Data Science, or a related quantitative field, with significant experience in machine learning engineering. Proven expertise in programming languages such as Python and libraries like TensorFlow, PyTorch, scikit-learn, and Keras is essential. Strong understanding of distributed computing frameworks (e.g., Spark) and cloud platforms (AWS, Azure, GCP) is required. Experience with MLOps tools and practices is highly desirable. Excellent problem-solving, analytical, and communication skills are critical. You should be adept at working with large datasets and tackling complex algorithmic challenges. We are looking for an innovative thinker with a passion for AI and a track record of delivering impactful machine learning solutions. Join a team that is shaping the future of artificial intelligence and making a real-world difference.
Location: This role is based in Manama, Capital, BH .
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7
AI & Machine Learning Engineer
70700 Riffa, Southern
BHD100000 Annually
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Posted 2 days ago
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Our client is seeking an innovative AI & Machine Learning Engineer to join their cutting-edge research and development team. This role is central to designing, developing, and deploying advanced machine learning models and AI-driven solutions that solve complex business problems. You will be responsible for the entire ML lifecycle, from data collection and preprocessing to model training, evaluation, and deployment. The ideal candidate will possess a strong foundation in computer science, mathematics, and statistics, with hands-on experience in developing and implementing various machine learning algorithms (e.g., supervised, unsupervised, deep learning). Responsibilities include researching and evaluating new AI technologies, building and optimizing ML pipelines, conducting experiments, and collaborating with software engineers to integrate ML models into production systems. Proficiency in programming languages such as Python, along with experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn, is essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. A Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field, and proven experience in developing and deploying ML models in a professional setting, are required. Strong analytical, problem-solving, and communication skills are paramount. This position involves a hybrid work arrangement, offering a balance of remote work and on-site collaboration in **Riffa, Southern, BH**.
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8
Senior Machine Learning Engineer
602 Riffa, Southern
BHD140000 Annually
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Posted 2 days ago
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Job Description
Our client is actively seeking a talented Senior Machine Learning Engineer to contribute to the development of advanced AI-driven products. This role is integral to our mission of leveraging cutting-edge machine learning techniques to solve complex problems and deliver innovative solutions. You will be responsible for designing, building, testing, and deploying machine learning models that power our core offerings. The ideal candidate possesses a strong theoretical foundation in ML and practical experience in implementing and scaling ML systems.
Responsibilities:
Responsibilities:
- Design, develop, and implement robust machine learning models and algorithms.
- Collaborate closely with data scientists and software engineers to integrate ML models into production systems.
- Build and maintain scalable ML pipelines for data preprocessing, model training, evaluation, and deployment.
- Perform feature engineering, model selection, hyperparameter tuning, and performance optimization.
- Implement MLOps best practices for version control, testing, monitoring, and continuous integration/deployment of ML models.
- Analyze large datasets to identify patterns, extract insights, and inform model development.
- Stay up-to-date with the latest research and advancements in machine learning and artificial intelligence.
- Troubleshoot and debug ML systems, ensuring their reliability and performance.
- Document technical designs, experiments, and model performance.
- Communicate technical findings and recommendations to cross-functional teams and stakeholders.
- Contribute to the overall AI strategy and roadmap.
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering or a similar role.
- Strong proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, Keras.
- Experience with deep learning architectures and frameworks.
- Solid understanding of statistical modeling, data mining, and data analysis techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML services (e.g., SageMaker, Azure ML, Vertex AI).
- Familiarity with big data technologies (e.g., Spark, Hadoop) and distributed computing.
- Proficiency in software engineering principles, including version control (Git) and CI/CD.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience with MLOps tools and practices is highly desirable.
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