AI Engineer

Jaarvis Technologies • جدة, S02, SA

Actively Hiring

Full-time Posted about 1 month ago

Responsibilities

check_circle Design, develop, train, and deploy AI and Machine Learning models for business applications.
check_circle Build and optimize data pipelines for data collection, preprocessing, and feature engineering.
check_circle Develop AI-powered applications using NLP, Computer Vision, Predictive Analytics, and Generative AI technologies.
check_circle Integrate AI solutions with enterprise applications, APIs, and cloud platforms.
check_circle Evaluate, monitor, and improve the performance and accuracy of AI models.
check_circle Collaborate with data scientists, software developers, and business stakeholders to translate business requirements into AI solutions.
check_circle Perform model testing, validation, deployment, and ongoing maintenance.
check_circle Work with structured and unstructured datasets to derive actionable insights.
check_circle Prepare technical documentation, model reports, and deployment guidelines.
check_circle Stay updated with the latest advancements in Artificial Intelligence, Machine Learning, and Generative AI technologies.

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.
3–4 years of hands-on experience in AI/ML solution development and deployment.
Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or similar.
Experience with Large Language Models (LLMs), Generative AI, Natural Language Processing (NLP), or Computer Vision.
Strong knowledge of SQL and NoSQL databases.
Experience with REST APIs, microservices, and cloud platforms (Azure, AWS, or Google Cloud).
Familiarity with MLOps, model deployment, Docker, and Git version control.
Strong analytical, problem-solving, and debugging skills.
Excellent communication and teamwork abilities.
Arabic speaking is mandatory. English communication skills are also required.

Experience with Azure AI Services, Azure OpenAI, AWS SageMaker, or Google Vertex AI.
Knowledge of RAG (Retrieval-Augmented Generation), vector databases, and prompt engineering.
Experience with Power BI or Tableau for AI-driven analytics.
Familiarity with DevOps and CI/CD pipelines.
AI-related certifications are an added advantage.

Fulltime Ai Ai Engineer Machine Learning Data Science Computer Vision Generative Ai