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Artificial Intelligence Engineer
2 weeks ago
We are a leading organization in the field of Artificial Intelligence, seeking an exceptional Artificial Intelligence Engineer to join our team. This role requires a blend of expertise in AI technologies and a passion for pushing the boundaries of machine intelligence.
Responsibilities- Data Analysis and Modeling: Develop 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.
- Library and Framework Utilization: Employ various libraries and frameworks like NumPy, Keras, TensorFlow, Matplotlib, and Seaborn for data set exploration, scientific computing, and numeric operations.
- Mathematics and Statistics Application: Use mathematical and statistical methods to enable machines to learn from data. Collect, interpret, and analyze data to understand patterns and provide insightful predictions.
- Machine Learning and Deep Learning Implementation: Develop systems that learn from data using Machine Learning and Deep Learning techniques. Apply neural networks to recognize patterns and process large data sets.
- 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.
- 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.
- 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.
- 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.
- Programming skills: Strong programming skills in Python, Java, R, C++, and JavaScript, with a focus on AI and Machine Learning applications.
- Ai library proficiency: Proficiency in using AI libraries and frameworks like NumPy, Keras, TensorFlow, etc.
- Mathematical knowledge: Solid understanding of mathematics, statistics, machine learning, deep learning, NLP, and computer vision.
- Collaboration skills: Ability to work in a fast-paced environment and collaborate with cross-functional teams.