AI Engineer for HR SaaS: NLP, MLOps & Scale

Globalli; Islamabad; On-site; PKR 2,790,000 - 5,580,000; Full time

Job summary

Globalli is seeking an experienced AI Engineer to design, build, and scale intelligent HR tech features in our next-generation SaaS platform. You’ll work cross-functionally with product, data, and engineering teams to develop models that automate HR processes and improve user experiences.

The role requires 4–6+ years in AI/ML, strong Python and ML frameworks, and hands-on production deployment on AWS/GCP/Azure.

Qualifications

• 4–6+ years of AI/ML engineering or data science experience
• Strong understanding of supervised/unsupervised learning, NLP, neural networks, and generative AI
• Proficiency with Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, or similar
• Experience deploying models in production using cloud platforms like AWS Sagemaker, GCP Vertex AI, or Azure ML
• Experience with data versioning, MLOps, and model lifecycle management
• Ability to work autonomously and thrive in a startup environment
• Familiarity with HR tech, payroll, or workforce data is a plus

Responsibilities

• Design and implement machine learning models to solve HR-specific challenges (e.g., intelligent automation, anomaly detection, personalized experiences)
• Collaborate with product managers and engineers to bring AI features to life across the platform
• Develop and optimize data pipelines to support model training and inference
• Research and apply NLP, LLMs, and other AI/ML technologies to streamline and improve HR workflows
• Monitor model performance and retrain/improve based on feedback and usage
• Build scalable AI solutions using cloud-native tools (preferably AWS)
• Contribute to data governance, ethical AI use, and compliance

Skills

Python

NLP

Generative AI

MLOps

Data analysis

Autonomous work

Tools

TensorFlow

PyTorch

Hugging Face

AWS SageMaker

GCP Vertex AI

Azure ML

Data versioning tools

Job description

Globalli is seeking an experienced AI Engineer to design, build, and scale intelligent HR tech features in our next-generation SaaS platform. You’ll work cross-functionally with product, data, and engineering teams to develop models that automate HR processes and improve user experiences.

The role requires 4–6+ years in AI/ML, strong Python and ML frameworks, and hands-on production deployment on AWS/GCP/Azure.