Hero Banner Background Image

AI/ML Engineer

3+ years

AI/MLAI/ML
Sri LankaSri Lanka
Full-TimeFull-Time
HybridHybrid
Apply for this Position

Job Description

Who We’re Looking For:

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.

Key Responsibilities:

  • 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.

Technical Skills & Experience:

  • 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.