104 AI Development jobs in Bahrain

• Design, develop, and implement machine learning models and algorithms.
• Process, clean, and transform large datasets for model training.
• Conduct feature engineering and selection for improved model performance.
• Train, evaluate, and fine-tune ML models using various frameworks (TensorFlow, PyTorch).
• Deploy ML models into production environments and monitor their performance.
• Collaborate with data scientists and software engineers to integrate AI solutions.
• Research and stay current with the latest advancements in AI and machine learning.
• Optimize model performance and scalability.
• Contribute to the development of AI strategies and roadmaps.
• Mentor junior engineers and share knowledge.

• Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
• Minimum of 6 years of experience in machine learning engineering or a related role.
• Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch, Keras).
• Experience with cloud platforms (AWS, Azure, GCP) for ML deployments.
• Strong understanding of various ML algorithms (supervised, unsupervised, deep learning).
• Experience with data processing and big data technologies (e.g., Spark).
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.

• Lead the design, development, and deployment of AI and machine learning models.
• Architect and build scalable and robust AI systems and solutions.
• Develop and implement advanced machine learning algorithms and deep learning models.
• Conduct rigorous testing, validation, and optimization of AI models.
• Collaborate with data scientists and software engineers to integrate AI solutions.
• Guide and mentor junior AI and ML engineers.
• Stay abreast of the latest advancements and research in AI and machine learning.
• Contribute to the AI strategy and roadmap of the company.
• Ensure the ethical and responsible development and deployment of AI.
• Communicate complex technical concepts to both technical and non-technical stakeholders.

• Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Minimum of 7 years of experience in AI and machine learning engineering, with a focus on developing and deploying production-ready ML models.
• Proven expertise in Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of various machine learning techniques, including supervised, unsupervised, and deep learning.
• Experience with cloud ML platforms and services (AWS SageMaker, Azure ML, Google AI Platform).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong leadership and team management capabilities.
• Excellent communication and interpersonal skills.
• Experience with big data technologies is a plus.

• Lead the design, development, and implementation of machine learning models and algorithms for applications such as predictive analytics, natural language processing, computer vision, and reinforcement learning.
• Mentor and guide a team of AI/ML engineers, fostering a collaborative and innovative development environment.
• Collaborate with data scientists, product managers, and stakeholders to understand business needs and translate them into technical requirements for AI solutions.
• Oversee the entire ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring.
• Develop and implement robust ML pipelines and MLOps strategies to ensure efficient and scalable deployment of AI models.
• Conduct research into new AI techniques and technologies, evaluating their potential application and integration into existing systems.
• Ensure the scalability, performance, and reliability of AI solutions in production environments.
• Contribute to the architectural design of AI platforms and infrastructure.
• Write high-quality, well-documented, and maintainable code in languages such as Python.
• Stay current with the latest advancements in AI, machine learning, and deep learning research.

• 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 engineering, with at least 3 years in a leadership or senior role.
• Proven experience in developing and deploying machine learning models in production environments.
• Expertise in programming languages commonly used in AI/ML, such as Python, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., Docker, Kubernetes, MLflow).
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical audiences.

• Lead the design, development, and implementation of advanced machine learning models and algorithms.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define AI strategies and roadmap.
• Build and maintain scalable machine learning pipelines for data preprocessing, model training, evaluation, and deployment.
• Conduct rigorous experimentation and evaluation of different machine learning techniques to optimize performance.
• Develop and implement strategies for MLOps, ensuring efficient deployment and monitoring of models in production environments.
• Stay abreast of the latest research and advancements in AI, machine learning, and deep learning.
• Mentor and guide junior AI engineers and data scientists.
• Communicate complex technical concepts to both technical and non-technical stakeholders.
• Contribute to the overall architecture and design of AI systems.
• Identify opportunities for AI integration to solve business problems and improve efficiency.
• Ensure the ethical and responsible development of AI solutions.
• Write clean, well-documented, and efficient code in Python and relevant AI frameworks.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of professional experience in AI/ML engineering, with a strong portfolio of deployed models.
• Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Proficiency in programming languages like Python, and experience with relevant libraries (NumPy, Pandas, etc.).
• Solid understanding of statistical modeling, data mining, and predictive analytics.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services.
• Knowledge of big data technologies (e.g., Spark, Hadoop) is a plus.
• Strong problem-solving abilities and a creative approach to challenges.
• Excellent communication and leadership skills.
• Proven ability to work in a collaborative, fast-paced environment.

• Design, build, and maintain robust and scalable MLOps pipelines for machine learning model development, training, deployment, and monitoring.
• Develop and implement best practices for version control, testing, CI/CD, and automation in ML workflows.
• Collaborate with data scientists and software engineers to integrate ML models into production systems.
• Architect and manage cloud-based ML infrastructure (e.g., AWS, Azure, GCP) leveraging services like SageMaker, Azure ML, or Vertex AI.
• Implement strategies for model monitoring, performance tracking, and re-training.
• Ensure the reliability, scalability, and security of ML systems in production.
• Automate the deployment of models through various environments (dev, staging, production).
• Optimize ML models for performance, efficiency, and cost-effectiveness.
• Troubleshoot and resolve issues related to ML model deployment and operationalization.
• Mentor junior engineers and contribute to the overall technical vision of the AI team.
• Stay current with the latest advancements in MLOps, AI, and cloud technologies.
• Contribute to the development of internal tools and frameworks to streamline the ML lifecycle.
• Evaluate and recommend new technologies and methodologies for MLOps.
• Develop strategies for data drift detection and model degradation management.
• Champion MLOps principles and foster a culture of continuous improvement.

• Master's degree or Ph.D. in Computer Science, Engineering, Data Science, or a related quantitative field.
• Minimum of 8-10 years of experience in software engineering, with at least 4-5 years focused on MLOps, Data Engineering, or Cloud Engineering with an ML focus.
• Proven experience in designing and implementing end-to-end MLOps pipelines.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Expertise with cloud platforms (AWS, Azure, GCP) and their ML services.
• Hands-on experience with containerization technologies (Docker, Kubernetes).
• Familiarity with ML frameworks like TensorFlow, PyTorch, scikit-learn.
• Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions) and infrastructure as code (e.g., Terraform, CloudFormation).
• Experience with data pipelines, workflow orchestration tools (e.g., Airflow), and monitoring solutions.
• Excellent understanding of machine learning concepts and model lifecycle management.
• Strong problem-solving, analytical, and communication skills.
• Ability to lead technical initiatives and mentor team members.
• Must be eligible to work in Bahrain.

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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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• Conduct advanced research and development in machine learning, deep learning, and related AI fields.
• Design, develop, and implement novel algorithms and models for complex problem-solving.
• Build and train machine learning models using large datasets, ensuring scalability and performance.
• Develop and deploy AI solutions into production environments, collaborating with software engineering teams.
• Evaluate and optimize the performance of AI models, identifying areas for improvement and innovation.
• Stay current with the latest advancements in AI, machine learning, and computer science research.
• Publish research findings in top-tier conferences and journals.
• Mentor junior engineers and contribute to the team's technical growth.
• Collaborate with cross-functional teams to define AI product requirements and roadmaps.
• Develop prototypes and proof-of-concepts for new AI applications.
• Ensure the ethical and responsible development and deployment of AI systems.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5 years of experience in AI/ML research and development, with a focus on practical application.
• Strong theoretical understanding and practical experience in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Proven ability to design, implement, and deploy complex AI models.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
• Track record of research publications or contributions to open-source AI projects.