JOB DESCRIPTION
AI DEVELOPER
We are looking for a bright and creative AI developer to become a member of our team and help us create cutting-edge AI products. In order to advance our business and technology, you will be essential to the design, implementation, and upkeep of AI models, algorithms, and applications as an AI developer.
We are seeking an enthusiastic AI developer who is ready to use AI to create and implement solutions that will have an impact. We strongly encourage you to apply if you have a strong technical background, a drive to stay on the cutting edge of AI technology, and the capacity to operate in a dynamic, cooperative workplace.
Key Responsibilities:
- AI Model Development: Create and apply AI models and algorithms for a range of uses, such as computer vision, recommendation systems, natural language processing, and more.
- Data Gathering and Preprocessing: Compile and prepare sizable datasets to make sure they are compatible with AI models and of high quality. This could entail feature engineering, data processing, and cleansing.
- Model Training: Use deep learning frameworks like PyTorch, TensorFlow, or others to train AI models. Models should be adjusted to maximize accuracy and performance.
- Model Evaluation: To guarantee robustness and dependability, rigorously test the model and assess its performance using the relevant metrics.
- Deployment: Install AI models in live environments, possibly with the aid of orchestration programs like Kubernetes or containerization technologies like Docker.
- Integration: Work with software engineers to incorporate AI models into platforms, apps, and systems that are already in place.
- Research and Development: Use new methods and tools to address business problems, and stay current on the most recent advancements in AI research and development.
- Documentation: To facilitate easy team collaboration and knowledge exchange, provide thorough and understandable documentation for AI models, code, and procedures.
- Troubleshooting and Maintenance: Keep an eye on and take care of implemented AI solutions, fixing problems, enhancing efficiency, and guaranteeing the dependability of AI programs.
- Security and privacy: Make sure AI applications follow applicable laws and best practices for security and privacy.
- Collaboration: To understand business objectives and provide AI solutions that match those needs, work together with cross-functional teams made up of data scientists, software engineers, product managers, and domain experts.
Requirements:
- A bachelor's degree or above in a relevant subject, such as computer science, AI, or machine learning.
- A track record of creating and implementing AI solutions.
- Robust programming abilities, ideally using Python.
- Familiarity with widely used deep learning libraries and frameworks.
- Familiarity with feature engineering, data preprocessing, and data visualization methods.
- Knowledge of relevant AI services and cloud computing (e.g., AWS, Azure, GCP).
- Outstanding critical thinking and problem-solving skills.
- Excellent communication abilities to work with cross-functional teams and elucidate AI concepts to stakeholders that are not technical.
- Understanding of moral AI principles and practices.
- Preferred qualifications (beneficial but not necessary):
- A doctorate or master's degree in artificial intelligence, machine learning, or a related subject.
- Familiarity with generative adversarial networks (GANs), reinforcement learning, or other cutting-edge AI methods.
- Knowledge of continuous integration/continuous deployment (CI/CD) pipelines and DevOps procedures.