Build and implement AI and machine learning solutions
tailored to solve practical, real-world problems.
Explore and apply advanced algorithms
in areas such as NLP, computer vision, and predictive modeling to drive innovation.
Enhance model efficiency and reliability
by fine-tuning for speed, accuracy, and large-scale deployment.
Perform thorough data exploration and preparation
, including cleaning and feature extraction, to enable successful model training.
Maintain clear documentation
of workflows, model designs, and codebases to support collaboration and future scalability.
Educational Qualification
Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a related field.
Experience:
Minimum 2 years of hands-on experience in developing and deploying machine learning or AI models.
Strong understanding of data preprocessing, feature engineering, model selection, training, and evaluation.
Experience with deploying ML models into production environments (e.g., using Docker, Kubernetes, REST APIs).
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and data processing.
Practical knowledge of programming languages such as Python or R (Python preferred).