AI Engineer

PhazeRo; Muscat; On-site; OMR 15,000 - 20,000; Full time

Job summary

A forward-thinking AI company in Muscat is seeking an experienced AI Engineer to design and develop advanced AI systems. Responsibilities include developing algorithms, integrating AI into products, and evaluating model performance. Ideal candidates possess strong programming skills and a background in machine learning. This opportunity offers a dynamic, collaborative work environment with strong growth potential.

Benefits

Collaborative and high-performance culture

Learning opportunities from industry veterans

Access to a network of world-class advisors

Dynamic work environment with flexible conditions

Qualifications

• 3+ years of experience in AI/Machine Learning engineering.
• Strong analytical and critical thinking skills.
• Excellent interpersonal and communication skills.

Responsibilities

• Architect and develop AI models and solutions.
• Collaborate with data scientists and software engineers.
• Monitor and evaluate AI model performance.

Skills

Python

Java

AI frameworks (TensorFlow, Keras, PyTorch)

Deep learning

Natural language processing

Computer vision

Data preprocessing

Education

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field

Tools

AWS

Google Cloud

Job description

About Us

PhazeRo stands at the forefront of AI innovation, dedicated to bridging the gap between advanced technology and business solutions. We work across various sectors, such as Energy, Finance, and BioAI, to empower our clients with intelligent automation and data-driven insights. Our team is made up of visionary thinkers and expert engineers who are passionate about making a significant impact in the AI landscape.

Job Overview

We are seeking an experienced AI Engineer to join our dynamic team. In this role, you will design, implement, and maintain AI systems and applications that enhance our product offerings. You will be responsible for developing sophisticated algorithms, conducting research on state-of-the-art AI methodologies, and implementing solutions that drive efficiency and effectiveness within the business. Working with a collaborative team, you will play a key role in shaping the future of AI at PhazeRo.

Key Responsibilities

• Architect and develop AI models and solutions that align with client requirements and business goals
• Collaborate with data scientists and software engineers to integrate AI capabilities into existing products
• Conduct experiments and prototype new algorithms to push the boundaries of our AI offerings
• Monitor and evaluate AI model performance, implementing improvements based on feedback and data analysis
• Stay up-to-date with the latest developments in AI and machine learning technologies
• Document methodologies and communicate findings effectively to both technical and non-technical stakeholders
  
  

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field
• 3+ years of experience in AI/Machine Learning engineering or a similar role
• Proficient in programming languages such as Python or Java, with expertise in AI frameworks (e.g., TensorFlow, Keras, PyTorch)
• Strong understanding of deep learning, natural language processing, and computer vision techniques
• Experience with cloud platforms (e.g., AWS, Google Cloud) and their AI services
• Ability to work with large datasets and familiarity with data preprocessing techniques
• Strong analytical and critical thinking skills, with a problem-solving mindset
• Excellent interpersonal and communication skills to collaborate effectively with team members and clients
• Passion for AI and a commitment to continuous learning and professional development
  
  

Benefits

• An honest, entrepreneurial, collaborative, high performance culture
• Infinite opportunities to learn from industry veterans.
• Access to growing network of world class advisors that work or have worked at: Google, Facebook, Twitter and GitHub
• A fun and dynamic work environment that involves a flexible hybrid working environment; community building; and international exposure