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AI/ML Engineer

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IQZ Systems

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Location:
Sri Lanka

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As a AI/ML Engineer, you will play a key role in designing, building, and deploying intelligent systems, algorithms, and models that learn from data and solve complex problems.

Job Responsibility:

  • Understand business requirements and design, develop and deploy AI/ML models and algorithms from concept to production in a timely and high-quality manner
  • Ensure project timelines and targets are consistently met
  • Act as an individual contributor, taking ownership of maintaining and supporting applications
  • Continuously seek innovative ways to improve existing applications

Requirements:

  • Bachelor's degree in Data Science, Computer Science, Engineering or a related field
  • Minimum 3-4 years hands-on experience in implementing and deploying large-scale, customer-facing AI/ML systems
  • Deep knowledge of Python and R for model development, ML frameworks (like TensorFlow, PyTorch), MLOps, and understanding AI/ML concepts and potential ethical issues
  • Strong understanding of classical and modern AI/ML techniques, including supervised and unsupervised learning algorithms, beyond academic coursework
  • Extensive experience in classification, time series analysis, pattern recognition, reinforcement learning, deep learning, dynamic programming, and optimization techniques
  • Ability to identify high-impact data analytics problems and determine the most relevant datasets and variables
  • Experience in collecting, cleaning, validating, and processing large structured and unstructured datasets from diverse sources
  • Proficiency in developing and applying models and algorithms to extract insights from big data
  • Strong analytical skills to identify trends and patterns in data and derive actionable insights
  • Expertise in communicating findings through data visualization and reports for stakeholders
  • Real-world experience with supervised and semi-supervised learning models
What we offer:
  • A dynamic and collaborative work environment
  • Opportunities for professional growth and development
  • Competitive compensation and benefits
  • The chance to shape impactful products that solve real-world problems
  • Exposure to cutting-edge technologies and tools, with opportunities to innovate and explore new business solutions

Additional Information:

Job Posted:
December 09, 2025

Employment Type:
Fulltime
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