TPS is looking for
Mid-Senior Level AI Engineer with the following Qualifications & Responsibilities:
- Bachelor's or Master degree in (Computer Science, Artificial Intelligence, Data Science or Mathematics).
- Very Good in English (Read/Write).
- Minimum 3 years of experience.
- Mastery of languages like Python, Java, or C++, with a deep understanding of libraries such as Tensor Flow, PyTorch, and Scikit-learn for AI development.
- Expertise in linear algebra, probability, statistics, and calculus, as these are foundational to machine learning algorithms.
- Proficiency in classical machine learning algorithms (e.g., decision trees, SVMs, k-means clustering) and modern deep learning models (e.g., CNNs, RNNs, transformers).
- Familiarity with big data technologies (e.g., Hadoop, Spark) and the ability to manage large datasets, including data preprocessing, transformation, and storage.
- Experience in evaluating models using various metrics, tuning hyperparameters, and optimizing model performance.
- Knowledge of NLP techniques like word embeddings, transformers (BERT, GPT), and tokenization for handling textual data.
- Experience with image processing techniques, convolutional neural networks (CNNs), and frameworks for object detection and classification.
- Familiarity with cloud platforms like AWS, Google Cloud, or Azure for deploying AI models and scaling infrastructure.
- Understanding of CI/CD pipelines, containerization (e.g., Docker), orchestration (e.g., Kubernetes), and tools for automating model deployment and monitoring.
