AI Engineer
2 weeks ago
Responsibilities
·
Develop and optimize machine learning and AI models
(including LLMs, SLMS) using modern architectures, transfer learning, and performance optimization techniques.
·
Design and manage scalable data pipelines and MLOps workflows
to enable automated training, deployment, monitoring, and retraining of models in production.
·
Deploy and integrate AI solutions
into production environments (cloud/on-prem) through APIs, microservices, and enterprise applications, ensuring reliability, scalability, and cost efficiency.
·
Collaborate across teams and stay current with emerging AI/ML and software engineering practices
to drive innovation, efficiency, and best-in-class implementation.
- Contribute to a collaborative and flexible team culture, supporting tasks beyond core duties when required.
Qualifications & Experience:
· Bachelor's or Master's degree in Computer Science/ Data Science / Machine Learning or related fields (16 years of HEC equivalent education) from HEC recognized / affiliated institute / university.
·
The candidate must have
2 years of relevant experience
in a reputable national / multinational organization.
-
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