AI / ML Engineer at Deeplight
Dubai, دبي, United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

02 Aug, 25

Salary

0.0

Posted On

02 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Financial Data, Machine Learning, Nlp, Data Processing, Azure, Predictive Analytics, Computer Vision

Industry

Information Technology/IT

Description

About DeepLight AI: DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries. Our team combines deep expertise in AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Role Overview: We are looking for a Senior AI/ML Engineer to design, develop and implement machine learning models and AI-powered solutions for our enterprise clients. The successful candidate will work on complex data processing pipelines, model development, and performance optimisation across various business domains.

REQUIREMENTS

  • 8+ years of experience in machine learning and AI development
  • Strong proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Experience with NLP, computer vision, or predictive analytics
  • Knowledge of data processing and feature engineering techniques
  • Experience with model deployment and production ML pipelines
  • Understanding of cloud platforms (AWS, Azure, or GCP)
  • Strong problem-solving skills and attention to detail
  • Experience with financial data or enterprise solutions a plus
Responsibilities
  • Design and implement AI/ML models to solve complex business problems
  • Develop data processing pipelines for model training and deployment
  • Implement algorithm optimizations for performance improvement
  • Create prediction engines and pattern recognition systems
  • Tune models based on performance metrics and feedback
  • Test AI models for accuracy, bias, and robustness
  • Implement AI monitoring and logging mechanisms
  • Collaborate with data engineers and full-stack developers to integrate AI solutions
  • Provide technical expertise on AI/ML best practices and methodologies
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