AI Engineer

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.