374 AI Machine Learning Engineer jobs in Bahrain
Lead AI Engineer - Machine Learning
402 Busaiteen, Muharraq
BHD180000 Annually
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Our client is at the forefront of technological innovation, building groundbreaking AI-driven solutions that are transforming industries. We are seeking a highly skilled and visionary Lead AI Engineer specializing in Machine Learning to join our advanced research and development team in **Busaiteen, Muharraq, BH**. This senior leadership role requires a deep technical understanding of machine learning algorithms, model development, deployment, and a passion for pushing the boundaries of artificial intelligence. The Lead AI Engineer will guide a team of talented engineers, architect robust ML systems, and drive the successful implementation of cutting-edge AI projects.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and deployment of advanced machine learning models and AI solutions.
- Architect and build scalable, efficient, and robust machine learning pipelines for data preprocessing, model training, evaluation, and deployment.
- Develop and implement deep learning models, natural language processing (NLP) techniques, computer vision algorithms, and other advanced ML techniques.
- Collaborate with data scientists, software engineers, and product managers to define project requirements and translate them into technical specifications.
- Mentor and guide a team of AI/ML engineers, fostering a culture of innovation and technical excellence.
- Conduct rigorous testing and validation of ML models to ensure accuracy, reliability, and performance.
- Optimize ML models for production environments, considering factors such as latency, throughput, and resource utilization.
- Stay abreast of the latest research and advancements in AI, machine learning, and deep learning, and identify opportunities for innovation.
- Contribute to the development of the company's AI strategy and roadmap.
- Implement best practices for MLOps, including version control, continuous integration, and continuous deployment (CI/CD) for ML models.
- Ensure the ethical and responsible development and deployment of AI systems.
- Troubleshoot and resolve complex technical issues related to AI/ML systems.
- Present technical findings and project progress to stakeholders.
- Write high-quality, well-documented code and technical documentation.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Minimum of 7 years of professional experience in AI/ML engineering, with a significant portion in a lead or senior capacity.
- Proven experience in developing and deploying machine learning models in production environments.
- Deep understanding of ML algorithms, statistical modeling, and data mining techniques.
- Proficiency in programming languages such as Python, R, Java, or Scala, and ML libraries/frameworks like TensorFlow, PyTorch, Scikit-learn, Keras.
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Strong knowledge of data structures, algorithms, and software engineering principles.
- Experience with MLOps tools and practices.
- Excellent leadership, communication, and interpersonal skills.
- Strong analytical and problem-solving abilities.
- Ability to work effectively in a fast-paced, innovative environment.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Publications in top-tier AI/ML conferences or journals are highly regarded.
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Lead AI Engineer, Machine Learning
20310 Saar, Northern
BHD95000 Annually
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Our client, a cutting-edge technology firm at the forefront of AI innovation, is seeking an experienced and visionary Lead AI Engineer specializing in Machine Learning. This pivotal role will drive the development and implementation of advanced AI solutions, pushing the boundaries of what's possible in emerging technologies. The Lead AI Engineer will be responsible for architecting, building, and deploying sophisticated machine learning models and algorithms to solve complex business problems. You will lead a team of talented engineers, providing technical guidance, mentorship, and fostering a culture of innovation and rigorous scientific inquiry. Key responsibilities include researching and evaluating state-of-the-art AI and ML techniques, designing and implementing data pipelines, and optimizing model performance for scalability and efficiency. Collaboration with cross-functional teams, including product managers and data scientists, to translate business requirements into technical solutions is paramount. The ideal candidate will possess a deep understanding of various machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn), natural language processing, computer vision, and deep learning architectures. Exceptional programming skills in Python, along with proficiency in cloud platforms (AWS, Azure, GCP) and big data technologies, are essential. A Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field is required, along with a minimum of 7-10 years of hands-on experience in AI/ML development and proven experience leading technical teams. This is an unparalleled opportunity to shape the future of AI within a dynamic and growth-oriented company in **Saar, Northern, BH**.
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Lead AI Engineer - Machine Learning
401 Hamad Town, Northern
BHD130000 Annually
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Our client is at the forefront of innovation and is seeking an exceptional Lead AI Engineer specializing in Machine Learning to join their advanced technology division, operating remotely but with an anchor in Hamad Town, Northern, BH . This role offers a unique opportunity to lead the development and implementation of cutting-edge AI and machine learning solutions that will drive significant business impact. You will be responsible for designing, building, and deploying sophisticated ML models, managing data pipelines, and collaborating with cross-functional teams to integrate AI capabilities into products and services. Key responsibilities include identifying opportunities for AI applications, researching and applying state-of-the-art ML algorithms, developing robust and scalable ML systems, and evaluating model performance. The ideal candidate will possess a deep understanding of various machine learning techniques, programming proficiency in Python, and extensive experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. A strong background in data science, statistical modeling, and distributed computing is crucial. A Master's or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field, coupled with a minimum of 7 years of experience in AI/ML development, is required. You will lead a team of talented engineers, mentor junior members, and contribute to the company's strategic vision in AI. This is an exciting chance to work on transformative projects and shape the future of AI.
Responsibilities:
Responsibilities:
- Lead the design and development of advanced AI and machine learning models.
- Implement and deploy ML solutions using Python and ML frameworks.
- Build and optimize data pipelines for ML model training and inference.
- Research and apply state-of-the-art ML algorithms and techniques.
- Collaborate with product teams to integrate AI capabilities into applications.
- Evaluate and improve the performance and scalability of ML systems.
- Mentor junior AI engineers and contribute to team knowledge sharing.
- Stay current with advancements in AI, machine learning, and deep learning.
- Contribute to architectural decisions for AI/ML platforms.
- Present AI project findings and strategies to stakeholders.
- Master's or Ph.D. in Computer Science, AI, Data Science, or a related field.
- Minimum of 7 years of experience in AI/ML development and data science.
- Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
- Expertise in various machine learning algorithms (e.g., deep learning, NLP, computer vision).
- Experience with cloud platforms (AWS, Azure, GCP) and ML services.
- Knowledge of big data technologies (e.g., Spark, Hadoop).
- Strong understanding of statistical modeling and data analysis.
- Excellent problem-solving, analytical, and communication skills.
- Proven ability to lead technical projects and teams.
- Experience with MLOps practices is a plus.
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Lead AI Engineer - Machine Learning
BH-111 Hamala, Northern
BHD95000 Annually
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Our client is at the forefront of innovation and is seeking a visionary Lead AI Engineer specializing in Machine Learning to join their advanced technology division in **Sanad, Capital, BH**. This senior position will spearhead the development and implementation of cutting-edge artificial intelligence solutions, driving transformative business outcomes. The Lead AI Engineer will be responsible for architecting, building, and deploying sophisticated machine learning models, leading a team of talented engineers and researchers. Key responsibilities include designing and executing end-to-end machine learning pipelines, from data acquisition and preprocessing to model training, evaluation, and deployment. You will leverage deep learning frameworks and algorithms to solve complex problems across various domains, such as natural language processing, computer vision, and predictive analytics. The role involves identifying opportunities to apply AI and ML to enhance existing products and services, as well as developing novel AI-driven solutions. Collaborating with product managers and business stakeholders to define project requirements and translate business needs into technical solutions is essential. Mentoring junior engineers, conducting code reviews, and promoting best practices in software engineering and MLOps are crucial aspects of leadership. Staying abreast of the latest research and advancements in AI and ML, and applying this knowledge to innovate within the company's technology stack, will be a key focus. This is an unparalleled opportunity to shape the future of AI within a forward-thinking organization, making significant contributions to the technological landscape in **Sanad, Capital, BH**. The ideal candidate will possess a Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field, with at least 5-7 years of hands-on experience in developing and deploying production-level machine learning systems. Proficiency in Python, along with deep learning libraries such as TensorFlow or PyTorch, is mandatory. Strong understanding of algorithms, data structures, and software engineering principles is required. Experience in cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Excellent leadership, problem-solving, and communication skills are essential for guiding the team and collaborating effectively with stakeholders.
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Senior AI Engineer - Machine Learning
342 Bilad Al Qadeem, Capital
BHD115000 Annually
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Our client is at the forefront of AI & Emerging Technologies and is seeking an accomplished Senior AI Engineer specializing in Machine Learning to join their innovative team in Salmabad, Northern, BH . This role is pivotal in designing, developing, and deploying advanced machine learning models and AI solutions that drive business value and solve complex problems. The ideal candidate will possess deep expertise in ML algorithms, data science, and software engineering, with a passion for pushing the boundaries of AI.
Key responsibilities:
Key responsibilities:
- Designing, building, training, and deploying sophisticated machine learning models for various applications, such as predictive analytics, natural language processing, and computer vision.
- Developing and implementing AI strategies and roadmaps in collaboration with product and engineering teams.
- Working with large datasets, performing data preprocessing, feature engineering, and model evaluation.
- Utilizing deep learning frameworks like TensorFlow, PyTorch, and Keras.
- Writing production-ready code in languages such as Python, Java, or Scala.
- Researching and implementing state-of-the-art ML algorithms and techniques.
- Collaborating with data scientists and software engineers to integrate ML models into existing systems and applications.
- Monitoring model performance in production and implementing retraining or fine-tuning as needed.
- Staying current with the latest advancements in AI, machine learning, and data science research.
- Contributing to the development of internal AI tools and platforms.
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4
Senior AI Engineer - Machine Learning
00401 Hamad Town, Northern
BHD120000 Annually
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Our client, a cutting-edge technology firm specializing in Artificial Intelligence and Emerging Technologies, is seeking a highly skilled Senior AI Engineer to join their innovative research and development team in **Hamad Town, Northern, BH**. This role is crucial for driving forward the company's AI capabilities and developing next-generation intelligent systems. You will be instrumental in designing, building, and deploying sophisticated machine learning models and AI-powered solutions that solve complex real-world problems across various industries.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement advanced machine learning algorithms and deep learning models for applications such as natural language processing, computer vision, predictive analytics, and reinforcement learning.
- Build and optimize scalable AI pipelines for data preprocessing, model training, evaluation, and deployment.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into existing and new products.
- Conduct research into state-of-the-art AI techniques and technologies, identifying opportunities for innovation and application.
- Write clean, efficient, and well-documented code in Python, R, or other relevant programming languages.
- Deploy machine learning models into production environments using cloud platforms (e.g., AWS, Azure, GCP) and MLOps best practices.
- Evaluate and improve model performance, accuracy, and efficiency through rigorous testing and experimentation.
- Stay current with the latest advancements in AI and machine learning research and industry trends.
- Mentor junior engineers and contribute to the team's knowledge sharing and technical growth.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 6 years of experience in AI and machine learning engineering, with a strong focus on developing and deploying production-ready models.
- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, Keras, or scikit-learn.
- Strong programming skills in Python and experience with libraries like NumPy, Pandas, and SciPy.
- Solid understanding of data structures, algorithms, and software engineering principles.
- Experience with cloud computing platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong analytical and quantitative skills, with a keen eye for detail.
- Passion for AI and a commitment to continuous learning and innovation.
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Senior AI Engineer - Machine Learning
55005 Tubli, Central
BHD130000 Annually
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Our client, a leading innovator in artificial intelligence and machine learning, is seeking an experienced Senior AI Engineer to contribute to the development of advanced AI solutions. This role is critical in pushing the boundaries of AI capabilities and applying them to real-world challenges. You will be involved in the entire machine learning lifecycle, from data preprocessing and model development to deployment and optimization. Key responsibilities include designing, building, and training sophisticated machine learning models; developing and implementing AI algorithms for predictive analytics, natural language processing, computer vision, or other specialized areas; optimizing model performance and scalability; deploying AI models into production environments; collaborating with cross-functional teams to integrate AI solutions into existing products and services; staying current with the latest research and advancements in AI and ML; and mentoring junior engineers. The ideal candidate will possess a Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field, with a minimum of 5 years of hands-on experience in AI/ML development. Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) is mandatory. Strong understanding of data structures, algorithms, and software engineering principles is required. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. Excellent analytical, problem-solving, and communication skills are essential. This challenging role is located in Janabiyah, Northern, BH , offering a chance to work at the cutting edge of technology. If you are a visionary AI professional eager to make a significant impact, we encourage you to apply.
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Lead AI Engineer - Machine Learning
00904 Al Jasra
BHD120000 Annually
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Our client, a cutting-edge technology firm at the forefront of AI and Emerging Technologies in **Hidd, Muharraq, BH**, is seeking an innovative and experienced Lead AI Engineer specializing in Machine Learning. This is a leadership position where you will guide a talented team of engineers in developing and deploying advanced AI solutions that will shape the future of our products and services.
The Lead AI Engineer will be responsible for designing, building, and implementing sophisticated machine learning models and algorithms. You will oversee the entire ML lifecycle, from data preprocessing and feature engineering to model training, validation, and deployment in production environments. This role requires a deep understanding of various ML techniques, deep learning frameworks, and best practices in MLOps. You will also mentor junior engineers, collaborate with product managers and data scientists, and contribute to the strategic direction of our AI initiatives. The ideal candidate is a thought leader in the AI space, passionate about pushing the boundaries of what's possible.
Key responsibilities include:
The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 7 years of experience in developing and deploying machine learning models in production is required, with at least 2 years in a lead or senior engineer role. Proven expertise in Python, R, and common ML libraries (scikit-learn, pandas, NumPy) is essential. Strong experience with deep learning frameworks (TensorFlow, PyTorch) and cloud ML platforms is a must. Excellent leadership, communication, and problem-solving skills are critical for success in this challenging role.
The Lead AI Engineer will be responsible for designing, building, and implementing sophisticated machine learning models and algorithms. You will oversee the entire ML lifecycle, from data preprocessing and feature engineering to model training, validation, and deployment in production environments. This role requires a deep understanding of various ML techniques, deep learning frameworks, and best practices in MLOps. You will also mentor junior engineers, collaborate with product managers and data scientists, and contribute to the strategic direction of our AI initiatives. The ideal candidate is a thought leader in the AI space, passionate about pushing the boundaries of what's possible.
Key responsibilities include:
- Leading the design, development, and implementation of advanced machine learning models and algorithms.
- Overseeing the end-to-end machine learning lifecycle, including data collection, preprocessing, feature engineering, model training, and evaluation.
- Developing and deploying scalable ML solutions using deep learning frameworks (e.g., TensorFlow, PyTorch) and cloud platforms (e.g., AWS, Azure, GCP).
- Implementing MLOps practices for robust model deployment, monitoring, and lifecycle management.
- Collaborating with data scientists, software engineers, and product managers to integrate AI capabilities into products.
- Mentoring and guiding a team of AI/ML engineers, fostering a culture of innovation and technical excellence.
- Conducting research on new AI and machine learning techniques, evaluating their potential applications.
- Optimizing model performance, scalability, and efficiency for production environments.
- Developing and maintaining robust codebases and documentation for AI projects.
- Staying up-to-date with the latest advancements in AI, machine learning, and related fields.
- Contributing to the strategic roadmap for AI development within the company.
- Ensuring the ethical and responsible development and deployment of AI systems.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 7 years of experience in developing and deploying machine learning models in production is required, with at least 2 years in a lead or senior engineer role. Proven expertise in Python, R, and common ML libraries (scikit-learn, pandas, NumPy) is essential. Strong experience with deep learning frameworks (TensorFlow, PyTorch) and cloud ML platforms is a must. Excellent leadership, communication, and problem-solving skills are critical for success in this challenging role.
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Principal AI Engineer - Machine Learning
00970 Hamala, Northern
BHD130000 Annually
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Our client is seeking an exceptional Principal AI Engineer specializing in Machine Learning to lead the development of advanced AI solutions. This senior technical role involves architecting, designing, and implementing cutting-edge machine learning models and algorithms to solve complex business problems. You will be responsible for the full lifecycle of ML projects, from data acquisition and preprocessing to model training, evaluation, deployment, and ongoing monitoring. Key responsibilities include identifying opportunities for ML application, selecting appropriate algorithms and frameworks, and ensuring the scalability and robustness of AI systems. You will also mentor junior engineers, conduct research into new AI techniques, and contribute to the company’s AI strategy and roadmap.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 8 years of experience in software engineering, with at least 5 years focused specifically on machine learning and deep learning, is required. Proven expertise in programming languages such as Python, and proficiency with ML frameworks like TensorFlow, PyTorch, or scikit-learn is essential. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) for ML deployments is highly desirable. Strong understanding of statistical modeling, natural language processing (NLP), computer vision, or reinforcement learning is a significant plus. Excellent problem-solving skills, strong analytical abilities, and outstanding communication skills are necessary to articulate complex technical concepts to both technical and non-technical audiences. This role is based in Sanad, Capital, BH . We are looking for a visionary leader who can drive innovation in AI and deliver impactful, production-ready machine learning solutions that provide a competitive advantage.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. A minimum of 8 years of experience in software engineering, with at least 5 years focused specifically on machine learning and deep learning, is required. Proven expertise in programming languages such as Python, and proficiency with ML frameworks like TensorFlow, PyTorch, or scikit-learn is essential. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) for ML deployments is highly desirable. Strong understanding of statistical modeling, natural language processing (NLP), computer vision, or reinforcement learning is a significant plus. Excellent problem-solving skills, strong analytical abilities, and outstanding communication skills are necessary to articulate complex technical concepts to both technical and non-technical audiences. This role is based in Sanad, Capital, BH . We are looking for a visionary leader who can drive innovation in AI and deliver impactful, production-ready machine learning solutions that provide a competitive advantage.
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8
Principal AI Engineer, Machine Learning
705 Seef, Capital
BHD125000 Annually
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Our client is at the vanguard of AI innovation and is searching for a distinguished Principal AI Engineer specializing in Machine Learning. This senior role is responsible for architecting, developing, and deploying sophisticated AI models and algorithms that drive our core product development. You will tackle challenging problems in areas such as natural language processing, computer vision, and predictive analytics, pushing the boundaries of artificial intelligence. The ideal candidate will possess a deep understanding of machine learning frameworks, deep learning architectures, and MLOps practices. You will lead a team of highly skilled AI engineers and data scientists, providing technical direction, mentorship, and fostering a culture of continuous learning and experimentation. Responsibilities include conceptualizing new AI-driven features, evaluating emerging AI technologies, and ensuring the scalability, reliability, and performance of our AI solutions. A critical component of this role involves collaborating closely with product managers, software engineers, and business stakeholders to translate complex business requirements into effective AI strategies.
Key Responsibilities:
Qualifications:
Join us in shaping the future of technology in Seef, Capital, BH .
Key Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models and algorithms.
- Lead the end-to-end development lifecycle of AI products, from data preprocessing to model deployment and monitoring.
- Architect scalable and efficient AI systems and infrastructure.
- Conduct research into new AI techniques and technologies, assessing their potential applicability.
- Mentor and guide junior AI engineers and data scientists.
- Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
- Optimize model performance, ensuring robustness, accuracy, and efficiency.
- Develop and maintain MLOps pipelines for automated model training, deployment, and monitoring.
- Contribute to the company's intellectual property through patents and publications.
- Stay current with the latest advancements in AI, machine learning, and deep learning.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 10+ years of experience in AI/ML development, with a significant portion in a lead or principal role.
- Expertise in programming languages such as Python and frameworks like TensorFlow, PyTorch, or scikit-learn.
- Proven experience with cloud platforms (AWS, Azure, GCP) and AI/ML services.
- Strong understanding of various ML algorithms, including deep learning, reinforcement learning, and natural language processing.
- Experience with MLOps tools and practices (e.g., Docker, Kubernetes, MLflow).
- Excellent problem-solving, analytical, and communication skills.
- Demonstrated ability to lead technical teams and drive projects to completion.
Join us in shaping the future of technology in Seef, Capital, BH .
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