Machine Learning Engineer at AFEX

Job Summary

• We are seeking a highly motivated and experienced Machine Learning & AI Engineer to join our team.
• The successful candidate will be responsible for developing and implementing machine learning models for visual and natural language processing applications, as well as robotics.
• The ideal candidate should have a strong background in machine learning, deep learning, computer vision, image processing, natural language processing, and robotics.

Duties & Responsibilities

• Design and develop machine learning models for visual and natural language processing applications, as well as robotics. 
• Implement and test machine learning algorithms for image and video recognition, object detection, and segmentation, as well as robotics. 
• Develop natural language processing models for text classification, sentiment analysis, and entity recognition. 
• Collaborate with cross-functional teams to integrate machine learning models into products and robotic systems. 
• Evaluate and improve the performance of existing machine learning models for robotics. 
• Apply computational statistics, mathematical optimization, data mining, exploratory data analysis, and predictive analytics to improve robotic systems. 
• Keep up-to-date with the latest advancements in machine learning, computer vision, natural language processing, and robotics. 

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering,  Robotics, Statistics, Mathematics, or any other related field. 
• Minimum of 3 years of experience in machine learning and artificial intelligence. 
• Strong knowledge of machine learning algorithms and deep learning frameworks (TensorFlow, PyTorch, Keras, etc.) and data analysis. 
• Hands-on experience in developing and implementing computer vision and image processing models. 
• Strong knowledge of natural language processing techniques (e.g., NER, sentiment analysis, text classification, etc.). 
• Experience in robotics and familiarity with robotic systems is a plus. 
• Proficient in Python programming language and its libraries (e.g., NumPy, Pandas, Scikit-learn, etc.). 
• Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created 
• Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production 
• Use data modelling and evaluation strategy to find patterns and predict unseen instances. 
• Strong communication and teamwork skills.
• Excellent problem-solving and analytical skills. 
• Ability to work in a fast-paced and dynamic environment.