
Artificial Intelligence Engineer
3 weeks ago
Responsibilities :
- Design and develop scalable and robust AI models and algorithms.
- Implement and optimize machine learning and deep learning models for various applications.
- Develop and deploy AI-powered applications and services.
- Integrate AI solutions with existing systems and platforms.
- Conduct research and experimentation to explore new AI techniques and methodologies.
- Stay up-to-date with the latest advancements in AI research and development.
- Contribute to the development of intellectual property and patents.
- Identify and evaluate emerging AI technologies.
- Design and implement data pipelines for AI model training and deployment.
- Manage and optimize large datasets for AI applications.
- Ensure data quality and integrity.
- Collaborate with data engineers to build robust data infrastructure.
- Deploy AI models to production environments.
- Monitor and optimize model performance.
- Implement model versioning and management strategies.
- Ensure scalability and reliability of AI systems.
- Collaborate with cross-functional teams, including product managers, software engineers, and researchers.
- Communicate complex technical concepts clearly and concisely to both technical and non-technical audiences.
- Participate in technical reviews and presentations.
- Provide technical leadership and guidance to junior AI engineers.
- Mentor and train team members on AI best practices and technologies.
- Contribute to architectural decisions and technology selection.
Qualifications :
- Experience : 7+ years of professional experience in AI engineering or related fields.
- Deep expertise in machine learning and deep learning algorithms and techniques.
- Experience with relevant AI frameworks and libraries (TensorFlow, PyTorch, scikit-learn).
- Experience with NLP, computer vision, or other specialized AI domains.
- Strong proficiency in Python and other relevant programming languages.
- Experience with software development best practices.
- Experience with data pipelines and data management.
- Knowledge of database systems and data warehousing.
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
Education :
- Master's or Ph.D in Computer Science, Artificial Intelligence, or a related field.
Preferred Qualifications :
- Experience with cloud-based AI platforms (AWS, Azure, GCP).
- Experience with distributed computing and parallel processing.
- Experience with deploying AI models to production environments.
- Publications in AI conferences or journals
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