We are looking for a highly skilled Senior AI Engineer to join our team.
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.
- 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.
- 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.
If you have the required skills and experience, please submit your application for consideration.