374 AI Engineer jobs in Bahrain
Lead Machine Learning Engineer, Computer Vision
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Job Description
Key responsibilities include designing, implementing, and optimizing deep learning models for tasks such as object detection, image segmentation, facial recognition, and video analysis. You will manage the entire ML lifecycle, from data acquisition and preprocessing to model training, validation, and deployment in production environments. The Lead ML Engineer will mentor junior engineers, foster a culture of innovation, and collaborate closely with product managers and software developers to translate business requirements into technical solutions. You will also be responsible for evaluating new technologies and methodologies to keep the team at the cutting edge of computer vision research and development.
The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with at least 6 years of professional experience in machine learning engineering, specifically focused on computer vision. A strong background in deep learning frameworks like TensorFlow, PyTorch, or Keras is essential. Proficiency in Python and experience with libraries such as OpenCV, scikit-image, and NumPy are required. Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is highly desirable. You must possess excellent leadership, communication, and problem-solving skills, with a proven ability to manage projects and mentor technical teams.
This is an exciting opportunity to work on challenging projects at the forefront of AI and computer vision technology, shaping the future of visual intelligence. Join a dynamic and forward-thinking company in Muharraq, Muharraq, BH and drive innovation in a collaborative environment.
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AI Engineer
Posted 7 days ago
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Job Title: AI Engineer
Location: Secondment in Bahrain (Hybrid)
Note: Office location in Pakistan (with occasional travel to Bahrain for business meetings and project requirements)
Job Summary
Our client is seeking a highly skilled and innovative AI Engineer to join the growing team. In this role, you will be instrumental in designing, developing, and deploying AI-powered solutions that integrate seamlessly with various APIs .
Job Responsibilities
- Design, develop, and deploy AI models and intelligent agents (e.g., voice agents, conversational AI, task automation agents) that can understand complex instructions and execute corresponding actions.
- Integrate AI models and agents with internal and third-party APIs, ensuring robust, scalable, and secure data exchange.
- Develop and manage data pipelines to ingest, process, and clean data from various sources, including feeds APIs, for training and deployment of AI models.
- Implement natural language processing (NLP) and speech-to-text/text-to-speech technologies for voice-enabled agents.
- Work closely with product managers, data scientists, and other engineers to define AI solution requirements and translate them into technical specifications.
- Optimize AI models for performance, scalability, and efficiency in production environments.
- Monitor, maintain, and troubleshoot deployed AI systems to ensure continuous operation and high accuracy.
- Stay up-to-date with the latest advancements in AI, machine learning, and relevant technologies.
- Document technical designs, development processes, and operational procedures.
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- 2+ years of professional experience in AI/ML engineering, software development with an AI focus, or a similar role.
- Proficiency in programming languages such as Python (essential), Java, or C++.
- Solid understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques.
- Experience with API design, development, and integration (RESTful APIs, GraphQL).
- Familiarity with data processing and manipulation libraries (e.g., Pandas, NumPy).
- Strong problem-solving skills and the ability to debug complex systems.
- Excellent communication and collaboration skills.
Preferred Qualifications
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Proficiency in implementing and utilizing Azure OpenAI APIs.
- Prior experience building and deploying conversational AI or voice agents.
- Knowledge of message queues and streaming data technologies (e.g., Kafka, RabbitMQ).
- Familiarity with MLOps practices for model deployment, monitoring, and lifecycle management.
- Experience with containerization technologies (Docker, Kubernetes).
- Contributions to open-source AI projects or a strong portfolio of personal AI projects.
- Not Applicable
- Full-time
- Engineering and Information Technology
- Information Services
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#J-18808-LjbffrLead AI Engineer
Posted today
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Job Description
Responsibilities:
- Lead the design, development, and implementation of advanced AI and machine learning models and algorithms.
- Mentor and guide a team of AI engineers, fostering a collaborative and innovative environment.
- Collaborate with cross-functional teams (product management, data science, software engineering) to define AI strategy and roadmap.
- Architect scalable and robust AI solutions, ensuring efficient deployment and integration.
- Stay at the forefront of AI research and development, identifying and evaluating new technologies and techniques.
- Develop and implement best practices for data preprocessing, feature engineering, model training, and evaluation.
- Ensure the ethical and responsible development and deployment of AI systems.
- Manage AI projects from conception through to production, ensuring timely delivery and quality outcomes.
- Troubleshoot and optimize AI models for performance, accuracy, and efficiency.
- Contribute to the development of reusable AI components and frameworks.
- Communicate complex technical concepts and findings to both technical and non-technical stakeholders.
- Champion the adoption of AI across the organization.
- Conduct code reviews and provide technical feedback to team members.
- Evaluate and select appropriate AI tools and platforms.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development, with at least 3 years in a leadership or team lead role.
- Proven experience in designing and deploying production-ready AI solutions.
- Expertise in programming languages such as Python, R, and associated AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Deep understanding of machine learning algorithms, deep learning architectures, NLP, and computer vision techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong problem-solving, analytical, and critical thinking skills.
- Excellent leadership, communication, and project management abilities.
- Ability to work effectively in a fully remote, fast-paced, and dynamic environment.
- Published research or contributions to open-source AI projects is a plus.
- Experience with big data technologies (e.g., Spark, Hadoop) is beneficial.
Lead AI Engineer
Posted today
Job Viewed
Job Description
Responsibilities:
- Lead the design, development, and implementation of advanced AI and machine learning models.
- Architect scalable and efficient AI systems and pipelines.
- Mentor and guide a team of AI engineers and data scientists.
- Collaborate with cross-functional teams to define AI project requirements and deliverables.
- Conduct research on new AI algorithms, tools, and techniques.
- Ensure the ethical and responsible deployment of AI solutions.
- Optimize AI models for performance, scalability, and cost-effectiveness.
- Develop and implement MLOps strategies for model deployment and monitoring.
- Present complex technical concepts to both technical and non-technical stakeholders.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 7 years of experience in AI/ML development, with at least 2 years in a leadership or lead engineer role.
- Proven experience in developing and deploying production-level AI models.
- Expertise in programming languages like Python and libraries such as TensorFlow, PyTorch, Keras, scikit-learn.
- Strong understanding of various ML algorithms, deep learning architectures, and NLP techniques.
- Experience with cloud computing platforms (AWS, Azure, GCP) and related AI services.
- Familiarity with MLOps principles and tools (e.g., Docker, Kubernetes, MLflow).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management capabilities.
Lead AI Engineer
Posted today
Job Viewed
Job Description
Responsibilities:
- Lead the design and development of AI models and algorithms for various applications.
- Architect and implement robust machine learning pipelines and systems.
- Mentor and guide a team of AI and ML engineers, fostering best practices.
- Collaborate with product managers and stakeholders to define AI strategy and requirements.
- Conduct research into new AI techniques and technologies to identify opportunities for innovation.
- Ensure the scalability, reliability, and performance of AI solutions.
- Oversee the data preparation, feature engineering, and model training processes.
- Develop and implement strategies for model deployment and monitoring.
- Stay abreast of the latest advancements in AI, deep learning, and data science.
- Contribute to the company's intellectual property through innovation and patents.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development, with at least 2 years in a lead or senior role.
- Proven expertise in programming languages such as Python, R, or Java.
- Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Excellent understanding of deep learning, natural language processing, and computer vision.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent leadership, communication, and team management abilities.
- Experience in agile development methodologies.
Lead AI Engineer
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Lead the development and implementation of AI/ML models and algorithms.
- Design and oversee the entire machine learning lifecycle (data preparation, training, deployment, monitoring).
- Manage and mentor a team of AI engineers and data scientists.
- Conduct research and stay updated on the latest AI advancements and techniques.
- Identify opportunities to leverage AI/ML for business value creation.
- Collaborate with cross-functional teams to integrate AI solutions.
- Ensure the quality, performance, and scalability of AI systems.
- Develop and maintain robust MLOps practices.
- Communicate technical concepts and project progress to stakeholders.
- Drive innovation and best practices within the AI team.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Minimum of 8 years of experience in AI/ML development and engineering.
- Proven experience leading AI/ML projects and teams.
- Expertise in machine learning, deep learning, NLP, computer vision, or other AI subfields.
- Proficiency in Python, R, and AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
- Strong understanding of data engineering principles and big data technologies.
- Excellent leadership, communication, and analytical skills.
- Ability to solve complex technical problems and drive project success.
Lead AI Engineer
Posted today
Job Viewed
Job Description
Responsibilities:
- Lead the design, development, and implementation of AI/ML models and solutions.
- Mentor and guide a team of AI/ML engineers and data scientists.
- Define the technical architecture and roadmap for AI projects.
- Oversee data engineering processes, including data acquisition, cleaning, and feature engineering.
- Develop and optimize machine learning algorithms for various applications.
- Deploy AI models into production environments and monitor their performance.
- Collaborate with product managers and stakeholders to understand business requirements and translate them into technical solutions.
- Stay current with the latest advancements in AI research and technologies.
- Ensure the scalability, robustness, and efficiency of AI systems.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development, with at least 2 years in a leadership or senior role.
- Proven experience in building and deploying production-ready AI/ML models.
- Expertise in programming languages like Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of various ML algorithms, deep learning architectures, and NLP techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop).
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and communication abilities.
Principal AI Engineer
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Lead the design, development, and implementation of state-of-the-art AI and machine learning models and systems.
- Architect scalable and robust AI solutions, considering factors such as data pipelines, model deployment, and performance monitoring.
- Conduct research and experimentation to explore novel AI techniques and applications.
- Develop and optimize algorithms for tasks such as predictive modeling, natural language understanding, image recognition, and anomaly detection.
- Collaborate with data scientists, software engineers, and product managers to translate business requirements into AI solutions.
- Implement and manage MLOps practices for efficient model training, deployment, and lifecycle management.
- Evaluate and select appropriate AI frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, scikit-learn).
- Mentor junior AI engineers and provide technical leadership on projects.
- Stay at the forefront of AI research and development, identifying opportunities for innovation.
- Ensure the ethical and responsible development and deployment of AI systems.
- Optimize AI model performance and resource utilization.
- Communicate complex technical concepts and findings to both technical and non-technical stakeholders.
- Contribute to the company's IP portfolio through patents and publications.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 8 years of experience in AI/ML development, with at least 3 years in a senior or lead role.
- Demonstrated expertise in developing and deploying complex AI models in production environments.
- Proficiency in Python and relevant AI/ML libraries (TensorFlow, PyTorch, Keras, scikit-learn).
- Deep understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Knowledge of big data technologies (e.g., Spark, Hadoop) is a plus.
- Strong problem-solving skills and the ability to tackle challenging technical problems.
- Excellent leadership, communication, and collaboration skills.
- Proven ability to mentor and guide technical teams.
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Lead AI Engineer
Posted today
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Job Description
You will be responsible for building and training AI models, conducting rigorous testing and validation, and integrating AI solutions into existing products and services. Collaboration with cross-functional teams, including product management, software engineering, and business stakeholders, will be crucial to ensure AI initiatives align with strategic goals. A PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field is required, along with a minimum of 8 years of experience in AI development and engineering. Proven expertise in programming languages like Python, R, and frameworks such as TensorFlow, PyTorch, and scikit-learn is essential.
Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. The Lead AI Engineer must have a strong track record of successfully delivering AI projects from inception to production, demonstrating excellent problem-solving skills, and the ability to communicate complex technical concepts effectively to both technical and non-technical audiences. If you are a visionary leader in the AI space, passionate about leveraging advanced technologies to create impactful solutions, this is an unparalleled opportunity to shape the future of AI within a forward-thinking organization. Join us to drive innovation and lead the charge in artificial intelligence.
Responsibilities:
- Lead the design and development of AI and machine learning models.
- Architect and implement scalable AI solutions and systems.
- Select and apply appropriate AI algorithms and technologies.
- Build, train, and deploy machine learning models.
- Collaborate with cross-functional teams to integrate AI solutions.
- Mentor and guide junior AI engineers and data scientists.
- Ensure the quality and performance of AI models through rigorous testing.
- Stay abreast of the latest advancements in AI and machine learning.
- PhD or Master's degree in Computer Science, AI, or related field.
- Minimum of 8 years of experience in AI/ML development and engineering.
- Expertise in Python, R, TensorFlow, PyTorch, and other AI frameworks.
- Proven experience in deploying AI models into production.
- Strong understanding of data science, statistics, and algorithms.
- Excellent leadership, communication, and problem-solving skills.
Lead AI Engineer
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Lead the design, development, and deployment of AI and machine learning models and solutions.
- Mentor and guide a team of AI engineers, data scientists, and researchers.
- Collaborate with product managers and stakeholders to define AI project requirements and roadmaps.
- Develop and implement robust machine learning pipelines for data preprocessing, model training, and evaluation.
- Stay abreast of the latest research and advancements in AI, machine learning, and related fields.
- Architect scalable and efficient AI systems, leveraging cloud platforms and distributed computing.
- Ensure the ethical development and deployment of AI technologies.
- Evaluate and select appropriate algorithms, frameworks, and tools for AI projects.
- Optimize AI models for performance, accuracy, and computational efficiency.
- Contribute to the company's intellectual property through innovative solutions and potential publications.
- Develop and maintain comprehensive documentation for AI models and systems.
- Foster a culture of innovation and continuous learning within the AI team.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML development, with at least 3 years in a leadership or senior role.
- Proven expertise in developing and deploying machine learning models (e.g., supervised, unsupervised, reinforcement learning) and deep learning architectures (e.g., CNNs, RNNs, Transformers).
- Proficiency in programming languages such as Python, with extensive experience in libraries like TensorFlow, PyTorch, scikit-learn, and Keras.
- Strong understanding of data structures, algorithms, and software engineering best practices.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership, communication, and interpersonal skills.
- Ability to manage complex projects and deliver results in a fast-paced environment.
- Experience with MLOps principles and tools is highly desirable.
This is a transformative opportunity for an AI leader to shape the future of technology for our client in **Hidd, Muharraq, BH**. If you are passionate about AI and possess exceptional technical and leadership skills, we encourage you to apply.
Lead AI Engineer
Posted today
Job Viewed
Job Description
Responsibilities:
- Lead the design, development, and implementation of AI and machine learning models and applications.
- Mentor and manage a team of AI engineers, providing technical guidance and fostering skill development.
- Translate complex business requirements into technical specifications for AI solutions.
- Develop and maintain scalable AI pipelines, including data preparation, model training, and deployment.
- Collaborate closely with data scientists, software engineers, and product managers to deliver integrated AI solutions.
- Ensure the performance, reliability, and scalability of deployed AI systems.
- Evaluate and integrate new AI technologies and methodologies to enhance our capabilities.
- Oversee code reviews and enforce coding standards and best practices within the AI team.
- Troubleshoot and resolve complex technical issues related to AI models and infrastructure.
- Stay current with the latest research and advancements in artificial intelligence and machine learning.
- Contribute to the strategic direction of AI initiatives within the organization.
- Manage project timelines and deliverables for AI development efforts.
Qualifications:
- Master's or Ph.D. in Computer Science, Engineering, Artificial Intelligence, or a related field.
- Minimum of 6 years of experience in AI/ML development, with at least 2 years in a lead or supervisory role.
- Strong expertise in programming languages such as Python, Java, or C++.
- Proficiency with AI/ML frameworks like TensorFlow, PyTorch, Keras, or scikit-learn.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and their AI services.
- Solid understanding of MLOps principles and practices for model deployment and management.
- Experience with data processing and big data technologies.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership, team management, and communication abilities.
- Proven ability to work effectively in a collaborative and fast-paced environment.
- Experience with NLP, computer vision, or reinforcement learning is advantageous.
This is a significant opportunity for an accomplished AI professional to make a substantial impact by leading critical AI projects and guiding a talented engineering team. Our client offers a competitive salary, comprehensive benefits, and a forward-thinking work culture.