We are looking for a highly skilled Senior AI Engineer to join our team.

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As an Artificial Intelligence (AI) Engineer you will be responsible for developing and implementing AI models and systems to solve complex problems and improve business processes. You will work with a team of data scientists, software engineers, and other stakeholders to design, build, and deploy AI-powered solutions. AI Engineer must possess a deep understanding of machine learning algorithms, data analysis, and programming languages to effectively contribute to the development of AI systems.

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Responsibilities:

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• Collaborate with cross-functional teams to identify and define AI use cases and requirements.
• Design and develop AI models, algorithms, and architectures to solve specific business problems.
• Implement and optimize machine learning models for training, validation, and deployment.
• Develop data pipelines and perform data preprocessing and feature engineering tasks.
• Apply statistical analysis and predictive modeling techniques to extract insights from data.
• Select and apply appropriate machine learning algorithms and techniques to solve specific tasks.
• Train and fine-tune machine learning models using large-scale datasets.
• Evaluate and compare the performance of different models and propose improvements.
• Implement techniques for model interpretation, explainability, and bias mitigation.
• Deploy and integrate machine learning models into production systems.
• Analyze and interpret complex datasets to identify patterns, trends, and actionable insights.
• Visualize and communicate data analysis results effectively to technical and non-technical stakeholders.
• Collaborate with data scientists and domain experts to understand data requirements and domain-specific challenges.
• Develop scalable and efficient AI systems that can handle large volumes of data and real-time processing.
• Collaborate with software engineers to integrate AI models into existing systems or develop new systems.
• Monitor and optimize the performance of AI systems, ensuring reliability and efficiency.
• Implement techniques for continuous integration, testing, and deployment of AI systems.
• Stay updated with the latest advancements in AI and machine learning technologies.
• Conduct research and experiments to explore new techniques and approaches.
• Propose innovative ideas and solutions to improve existing AI systems and processes.

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Requirements:

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• Bachelor's or Master's degree in Computer Science, Data Science, or a related field. A Ph.D. is a plus.
• Strong programming skills in languages such as Python, Java, or C++, and experience with libraries and frameworks like TensorFlow, PyTorch, or Keras.
• Solid understanding of machine learning algorithms, deep learning architectures, and statistical modeling techniques.
• Proficiency in data preprocessing, feature engineering, and data visualization.
• Experience with large-scale data processing frameworks (e.g., Hadoop, Spark) and SQL databases.
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and experience with deploying AI models in cloud environments.
• Familiarity with software development practices, version control systems (e.g., Git), and agile methodologies.
• Strong problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.

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If you have the required skills and experience, please submit your application for consideration.

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