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Artificial Intelligence Engineer
Skills
Computer ScienceSoftware DevelopmentComputer VisionConvolutional Neural NetworksData ScienceDeep LearningKeras
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong proficiency in programming languages such as Python, R, or Java with a focus on AI and machine learning development
- Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Keras) and libraries
- Solid understanding of AI principles, algorithms, and applications
- Experience with natural language processing, computer vision, or neural networks is highly desirable
- Familiarity with cloud services (AWS, Azure, GCP) and their AI capabilities
- Knowledge of software development best practices including version control (Git), CI/CD pipelines, and agile methodologies
- 3+ years of professional experience in AI development or a related field
- Demonstrated ability to design, build, and maintain AI and machine learning solutions
- Proven track record of successful AI project implementation
- Excellent communicator able to collaborate effectively with a distributed team and articulate technical concepts to non-technical stakeholders
Nice to have
- Creative problem-solver
- Independent and self-motivated
- Passionate about AI
- Committed to continuous learning
Day to day
- Designing and implementing AI models and systems that drive innovation and strategic advantage
- Developing algorithms, crafting machine learning models, and integrating AI into applications that solve real-world problems
- Collaborating with cross-functional teams to understand client needs and deliver AI-driven solutions
- Optimizing existing AI systems for scalability, efficiency, and reliability
- Documenting and maintaining project codebase and development processes
