Overview:

We are seeking a highly skilled AI Developer to join our dynamic team. The ideal candidate will possess a deep understanding of programming languages, libraries and frameworks, mathematics and statistics, machine learning, deep learning, natural language processing, computer vision, data science, data analysis, and cloud computing. This role requires a blend of expertise in AI technologies and a passion for pushing the boundaries of machine intelligence.

Key Responsibilities:

1. Develop AI Models: Create, implement, and maintain AI models using Python, Java, R, C++, and JavaScript. Utilize your understanding of these languages' specific applications in AI and Machine Learning for efficient and innovative solutions.

2. Utilize Libraries and Frameworks: Employ various libraries and frameworks like NumPy, Keras, TensorFlow, Matplotlib, and Seaborn for data set exploration, scientific computing, and numeric operations.

3. Apply Mathematics and Statistics: Use mathematical and statistical methods to enable machines to learn from data. Collect, interpret, and analyze data to understand patterns and provide insightful predictions.

4. Implement Machine Learning and Deep Learning: Develop systems that learn from data using Machine Learning and Deep Learning techniques. Apply neural networks to recognize patterns and process large data sets.

5. Engage in Natural Language Processing and Computer Vision: Work on projects involving NLP and Computer Vision to enable machines to understand human language and interpret digital images.

6. Data Science and Data Analysis: Utilize Data Science and Data Analysis to understand and interpret data, helping make informed decisions, understand customer needs, and track performance.

7. Cloud Computing Proficiency: Leverage cloud solutions for scalable IT infrastructure. Develop applications as a set of microservices, ensuring efficient operation in cloud environments like Azure, AWS, GCP, and IBM Cloud.

8. Develop Machine Learning Algorithms: Create robust data analytics algorithms for prediction, classification, and categorization. Extract meaningful insights from various data matrices.

Qualifications:

- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

- Proven experience in AI development and a portfolio of projects showcasing your skills in the areas mentioned above.

- Strong programming skills in Python, Java, R, C++, and JavaScript, with a focus on AI and Machine Learning applications.

- Proficiency in using AI libraries and frameworks like NumPy, Keras, TensorFlow, etc.

- Solid understanding of mathematics, statistics, machine learning, deep learning, NLP, and computer vision.

- Experience in data science, data analysis, and cloud computing.

- Ability to work in a fast-paced environment and collaborate with cross-functional teams.