AI Engineer

Dubai, Dubai, United Arab Emirates

Deeplight

Deeplight is the first all-in-one digital risk prediction, prevention and cyber insurance coverage platform. Cyber Insurance that's accessible, affordable and right for your business.

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Company Overview

Deeplight is a vibrant AI company focused on harnessing artificial intelligence technologies to deliver innovative solutions for businesses across various sectors. We are driven by a passion for leveraging data and machine learning to unlock insights, automate processes, and deliver impactful outcomes for our clients. Our diverse team comprises experts from various domains, united by a shared vision of creating intelligent systems that enhance decision-making and drive growth.

Job Description

As an AI Engineer at Deeplight, you will play a critical role in developing and implementing AI systems that address real-world challenges faced by our clients. Your primary responsibility will be to design, build, and optimize machine learning models and algorithms tailored to specific applications. You'll collaborate with data scientists, software engineers, and business stakeholders to ensure robust and scalable deployment of AI solutions, while also focusing on continuous improvement and innovation.

Key Responsibilities

  • Develop and implement AI models and algorithms with a focus on scalability, efficiency, and performance.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Analyze and preprocess data to create relevant training datasets for model development.
  • Monitor and evaluate model performance, making necessary adjustments to enhance accuracy.
  • Participate in code reviews and contribute to the team's coding standards and best practices.
  • Stay updated with the latest advancements in AI and machine learning, evaluating their applicability to ongoing projects.
  • Document projects and model development processes clearly for team contributions and knowledge sharing.

Requirements

Qualifications

  • 5+ years of experience in AI/ML engineering or related fields, with a strong portfolio of successful projects.
  • Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related discipline; a Master's degree is a plus.
  • Solid programming skills in Python or R, with experience in libraries such as TensorFlow, PyTorch, or Keras.
  • Experience with data manipulation and exploration using tools like Pandas, NumPy, and SQL.
  • Understanding of machine learning algorithms, their applications, and best practices for model development and evaluation.
  • Familiarity with cloud-based environments (AWS, Azure, GCP) for deploying AI solutions.
  • Experience with version control systems (e.g., Git) and collaborative development environments.
  • Strong analytical and problem-solving skills, along with attention to detail and a passion for innovation.
  • Excellent communication skills and the ability to work collaboratively in a team-oriented environment.

Benefits

Benefits & Growth Opportunities:

·       Competitive salary and performance bonuses

·       Comprehensive health insurance

·       Professional development and certification support

·       Opportunity to work on cutting-edge AI projects

·       International exposure and travel opportunities

·       Flexible working arrangements

·       Career advancement opportunities in a rapidly growing AI company

This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Computer Science Engineering GCP Git Keras Machine Learning ML models NumPy Pandas Python PyTorch R SQL TensorFlow

Perks/benefits: Career development Competitive pay Flex hours Health care

Region: Middle East

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