AI/ML Engineer Remote

- Diverse Model Development:
Develop and deploy machine learning models across a variety of applications, including but not limited to computer vision, NLP, and predictive analytics.
Utilize cutting-edge tools like YOLO 8 for object detection and leverage platforms like Google Colab for scalable model development.
Natural Language Processing (NLP):
Implement NLP techniques for text analysis, sentiment analysis, language translation, and chatbot development.
- Predictive Analytics and Data Modeling:
Use machine learning for predictive modeling, anomaly detection, and data mining tasks.
Analyze large datasets to uncover trends, patterns, and insights for informed decision-making.
Reinforcement Learning and Algorithm Development:
Experiment with reinforcement learning for developing models that learn and optimize actions in dynamic environments.
Optimize algorithms for various AI/ML tasks, ensuring efficiency and accuracy.
- Integration with Cloud AI Services:
Leverage cloud-based AI services like AI Vertex (Google Cloud), AWS Rekognition, and Azure Video Indexer to enhance capabilities in specific areas.
Collaboration and Continuous Learning:
Work collaboratively with cross-functional teams to understand requirements and deliver innovative AI/ML solutions.
Keep abreast of the latest advancements in AI/ML and continuously improve skills and knowledge in emerging areas.
- Qualifications:
Proven experience in diverse AI/ML fields, including computer vision, NLP, and predictive analytics.
Familiarity with YOLO 8, Google Colab, and other AI/ML tools and platforms.
Strong mathematical and algorithmic background.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.