Job Description

An AI/Machine Learning Engineer is responsible for designing, developing, and implementing machine learning models for various applications. This may include developing models for image recognition, natural language processing, and predictive analytics.

• The AI/Machine Learning Engineer should have a strong background in computer science, mathematics, and statistics and proficiency in programming languages such as Python, Java, or C++.

• Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch is also essential, as well as knowledge of various machine learning algorithms, such as regression, classification, clustering, and neural networks.

• The AI/Machine Learning Engineer should be able to design, develop, and implement machine learning models for various applications, with a focus on performance, accuracy, and efficiency.

• Experience with data analysis and data pre-processing techniques is also important, as the AI/Machine Learning Engineer will need to work with large datasets to develop and train models.

• Familiarity with cloud computing platforms such as AWS or Azure is also desirable, as many machine learning applications require large amounts of computing resources.

• Strong problem-solving skills and attention to detail are critical, as the AI/Machine Learning Engineer will need to analyze and optimize models to meet project requirements.

• Excellent communication skills are also important, as the AI/Machine Learning Engineer will work collaboratively with other engineers and stakeholders throughout the development process.

• Finally, the AI/Machine Learning Engineer should have a strong understanding of the ethical implications of AI and machine learning and should strive to develop models that are transparent, fair, and unbiased.

Required Skills:

• Strong background in computer science, mathematics, and statistics
• Proficiency in programming languages such as Python, Java, or C++
• Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
• Knowledge of various machine learning algorithms, such as regression, classification, clustering, and neural networks
• Ability to design, develop, and implement machine learning models for various applications
• Experience with data analysis and data pre-processing techniques
• Familiarity with cloud computing platforms such as AWS or Azure
• Strong problem-solving skills and attention to detail
• Excellent communication skills and ability to work collaboratively with other engineers and stakeholders

NB: Only Shortlisted Applicants will be contacted.