Artificial Intelligence Specialist

Norconsult Telematics; Saudi Arabia; On-site; SAR 120,000 - 150,000; Full time

Job summary

A leading company in telecommunications seeks an AI Engineer to develop innovative AI-powered solutions. The role involves expertise in Generative AI, Python, and data engineering, focusing on delivering value-driven AI solutions to clients. Join a dynamic R&D team to enhance competitive edge through cutting-edge technology.

Qualifications

• Over 8 years of experience in Data Science, Machine Learning, and AI.
• Strong foundation in statistical methods and calculus for model development.

Responsibilities

• Expertise in Generative AI and Large Language Models (LLMs).
• Ability to preprocess and structure large datasets.
• Experience in Cloud Services and CI/CD pipelines.

Skills

Python

Data Analysis

Machine Learning

NLP

Computer Vision

MLOps

Business Intelligence

Cloud Services

Linux

Education

Bachelor's or Master's degree in Computer Science

Statistics

Mathematics

Tools

Pandas

NumPy

Scikit-Learn

TensorFlow

PyTorch

OpenCV

AWS

Azure

GCP

Job description

Norconsult Telematics is a leading provider of consultancy and engineering services specializing in telecommunications, IT, and digital transformation solutions. With a strong track record of delivering cutting-edge technology solutions to global clients, we are committed to driving innovation through data and AI-driven insights.

As part of our strategic vision, our internal AI Engineering team is expanding to develop next-generation products and solutions in the telecom, IT, and digital transformation domains. This small but agile R&D team will focus on creating AI-powered solutions that can be offered to both existing and new clients, enhancing our competitive edge in the market.

Job Description & Responsibilities

1. Expertise in Generative AI and Large Language Models (LLMs), including hands-on experience in NLP and model fine-tuning for deployment.
2. Strong Python skills for data analysis, wrangling, and machine learning using libraries like Pandas, NumPy, and Scikit-Learn.
3. Experience in Computer Vision and image processing, utilizing OpenCV, TensorFlow, or PyTorch for visual data analysis.
4. Ability to preprocess, clean, and structure large datasets, effectively handling missing values, inconsistencies, and outliers.
5. Familiarity with Big Data, real-time streaming, and batch processing concepts.
6. Solid understanding of Business Intelligence (BI), including Star and Snowflake schemas and data modeling.
7. Experience with Cloud Services such as AWS, Azure, or GCP, along with CI/CD pipelines and ETL processes.
8. Proficiency in Linux, with knowledge of Windows and iOS as a plus.
9. Strong understanding of MLOps, software development best practices, code optimization, automation, and deployment pipelines.

Qualifications & Experience

1. Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
2. Over 8 years of experience in Data Science, Machine Learning, and AI, with expertise in Generative AI, LLMs, and Computer Vision.
3. Strong foundation in statistical methods, probability, linear algebra, and calculus for model development and AI applications.
4. Experience with Big Data, real-time streaming, and batch processing, with a deep understanding of data engineering principles.
5. Proficiency in Python (Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch), Business Intelligence (Star & Snowflake schemas), and Cloud Services (AWS, Azure, GCP).
6. Experience with MLOps, CI/CD pipelines, DevOps methodologies, and scalable AI deployment.
7. Excellent technical and interpersonal communication skills, with the ability to work in a cross-functional environment.
8. Results-oriented with a focus on continuous skill improvement and staying updated on emerging technologies.
9. Ability to communicate effectively with customers, ensuring value-driven AI and data solutions.
10. Excellent presentation skills, capable of explaining complex AI and data science concepts to diverse audiences.

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