496 AI Developer jobs in Bahrain

• Design, develop, and implement advanced deep learning models for various applications, including computer vision, natural language processing, and reinforcement learning.
• Build and train sophisticated neural networks using frameworks such as TensorFlow, PyTorch, and Keras.
• Optimize model performance through techniques like hyperparameter tuning, regularization, and efficient architectures.
• Develop and maintain robust data pipelines for training and inference.
• Deploy deep learning models into production environments, ensuring scalability and reliability.
• Collaborate with data scientists and software engineers to integrate AI/ML solutions into products and services.
• Conduct research into new AI/ML techniques and technologies, evaluating their potential applications.
• Write clean, efficient, and well-documented code.
• Stay current with the latest advancements and publications in AI and deep learning.
• Participate in code reviews and contribute to the team's best practices.
• Present technical findings and project updates to stakeholders.

• Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 6 years of experience in AI/ML engineering, with a significant focus on deep learning.
• Proven experience in developing and deploying deep learning models in real-world applications.
• Expertise in Python and deep learning libraries (TensorFlow, PyTorch, Keras).
• Strong understanding of machine learning algorithms, statistical modeling, and data structures.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
• Excellent problem-solving skills and a passion for innovation.
• Strong communication and collaboration skills, suitable for remote teamwork.
• Ability to work independently and manage project timelines effectively.
• Experience with distributed training and parallel computing is advantageous.

• Design, develop, and implement machine learning and deep learning models.
• Process, clean, and transform large datasets for model training.
• Perform feature engineering and selection to optimize model performance.
• Train, evaluate, and fine-tune models using various ML algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Deploy models into production environments and monitor their performance.
• Collaborate with data scientists, software engineers, and product managers to integrate AI solutions.
• Research and stay updated on the latest advancements in AI and machine learning.
• Develop and maintain robust, scalable, and efficient AI systems.
• Write clean, well-documented, and maintainable code.
• Contribute to the architecture and design of AI platforms.
• Identify opportunities to apply AI to solve business problems.
• Mentor junior AI engineers and share technical expertise.

• Lead the research and development of advanced AI/ML models.
• Design and implement deep learning architectures for various applications.
• Train and optimize models using large datasets.
• Develop expertise in NLP, computer vision, or other AI domains.
• Collaborate with data scientists and software engineers.
• Evaluate and integrate new AI technologies and tools.
• Mentor and guide junior AI/ML engineers.
• Contribute to the development of AI-related intellectual property.
• Ensure scalability, efficiency, and ethical considerations in AI solutions.
• Stay at the forefront of AI research and innovation.

• Master's or Ph.D. in Computer Science, AI, ML, or related field.
• Minimum 7 years of experience in AI/ML development, with deep learning specialization.
• Proficiency in deep learning frameworks (TensorFlow, PyTorch, Keras).
• Strong programming skills in Python.
• Experience with cloud ML platforms and MLOps.
• Expertise in data analysis and model evaluation.
• Excellent leadership, communication, and problem-solving skills.
• Ability to work effectively in a fully remote team.
• Proven track record of delivering AI solutions.

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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

1. 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.
2. Integrate AI models and agents with internal and third-party APIs, ensuring robust, scalable, and secure data exchange.
3. Develop and manage data pipelines to ingest, process, and clean data from various sources, including feeds APIs, for training and deployment of AI models.
4. Implement natural language processing (NLP) and speech-to-text/text-to-speech technologies for voice-enabled agents.
5. Work closely with product managers, data scientists, and other engineers to define AI solution requirements and translate them into technical specifications.
6. Optimize AI models for performance, scalability, and efficiency in production environments.
7. Monitor, maintain, and troubleshoot deployed AI systems to ensure continuous operation and high accuracy.
8. Stay up-to-date with the latest advancements in AI, machine learning, and relevant technologies.
9. 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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• Lead the design, development, and deployment of scalable AI and machine learning systems.
• Mentor and guide a team of AI engineers, providing technical leadership and direction.
• Develop and maintain robust MLOps pipelines for efficient model training, deployment, and monitoring.
• Architect scalable and performant AI infrastructure.
• Collaborate with AI researchers and product managers to translate research into production code.
• Ensure the quality, reliability, and maintainability of AI solutions.
• Drive best practices in AI engineering, code quality, and testing.
• Stay current with emerging AI technologies and methodologies.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• 7+ years of experience in software engineering, with a significant focus on AI/ML.
• Demonstrated experience in leading engineering teams and projects.
• Expertise in Python and ML frameworks (TensorFlow, PyTorch).
• Strong understanding of MLOps principles and tools.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Excellent communication and collaboration skills, with experience working in remote teams.

• 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 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 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.