AI/ML Engineer

Empowering Energy; Riyadh; Remote; SAR 200,000 - 300,000; Full time

Job summary

A technology company is looking for an AI/ML Engineer to design and optimize machine learning models. This full-time role starts remotely, transitioning to Riyadh after visa processing. Responsibilities include model development, dataset analysis, and deployment of AI solutions. Ideal candidates will have a degree in a relevant field and 3+ years of AI/ML experience, with proficiency in key ML frameworks like TensorFlow and PyTorch.

Qualifications

• 3+ years of experience in AI/ML engineering.
• Expertise in machine learning frameworks like TensorFlow, PyTorch, Scikit-Learn.
• Demonstrated experience in fine-tuning machine learning and LLM models.

Responsibilities

• Develop, deploy, and fine-tune machine learning models for analytics.
• Analyze and process large datasets for insights.
• Collaborate with data engineers for data readiness.

Skills

Machine Learning & Deep Learning

Natural Language Processing

Optical Character Recognition

Automatic Speech Recognition

Advanced Python

Data Engineering

Model Deployment

Analytical & Problem-Solving

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML or related field

Tools

TensorFlow

PyTorch

Scikit-Learn

Pandas

NumPy

Job description

Empowering Energy is hiring an AI/ML Engineer! (Remote until relocation to Riyadh, KSA)

We’re seeking a skilled AI/ML Engineer to design, implement, and fine-tune machine learning models, including large language models (LLMs), to drive impactful, data-driven solutions across our projects.

Role Description

This is a full-time role that will start remotely, with relocation to Riyadh planned after visa processing. During remote work, the employee will be required to remain on a video call with the company during office hours. The AI/ML Engineer will handle end-to-end model development and deployment, focusing on optimizing and fine-tuning models to achieve performance goals, and collaborating with cross-functional teams to build scalable AI solutions.

Responsibilities:

• Develop, deploy, and fine-tune machine learning models, including large language models, for predictive and prescriptive analytics.
• Analyze and process large datasets to derive actionable insights and support decision-making.
• Collaborate with data engineers to ensure data readiness for training and evaluation.
• Continuously enhance model performance through feature engineering, parameter tuning, and model re-training.
• Design and maintain AI/ML pipelines for streamlined automation and model deployment.
• Stay up-to-date with advancements in AI/ML and LLM fine-tuning techniques to drive innovation.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field.
• 3+ years of experience in AI/ML engineering, with expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
• Demonstrated experience in fine-tuning machine learning models and large language models.
• Strong proficiency in Python and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Experience in deploying models in production environments.
• Knowledge of deep learning, NLP, or computer vision is a plus.
• Excellent analytical, problem-solving, and communication skills.

If you’re a proactive engineer passionate about leveraging AI and LLMs to tackle real-world challenges, apply today!

Job Specification

Key Skills:

• Machine Learning & Deep Learning: Expertise in algorithms, neural networks, and model tuning.
• Natural Language Processing (NLP): Proficiency in text analysis, entity recognition, and language modeling.
• Optical Character Recognition (OCR): Knowledge of OCR techniques and tools for text extraction from images.
• Automatic Speech Recognition (ASR): Experience with speech-to-text models and related audio processing.
• Programming: Advanced Python skills, including libraries like TensorFlow, PyTorch, Pandas, and NumPy.
• Data Engineering: Ability to prepare and preprocess large datasets for machine learning.
• Model Deployment: Experience in deploying models and maintaining AI/ML pipelines in production environments.
• Analytical & Problem-Solving: Strong capability to interpret data and build solutions based on insights.

Information Technology and Services - Al Riyadh, Saudi Arabia