We’re looking for a highly skilled AI Engineer to help us design, build, and scale intelligent systems across our next-generation global HR Tech platform. As an early-stage startup, we’re looking for someone who thrives in dynamic environments, is passionate about automation and AI-driven innovation, and brings hands-on experience developing AI/ML solutions within enterprise-grade SaaS platforms.
You’ll work cross-functionally with product, data, and engineering teams to develop models that improve user experience, automate decision-making, and support smart HR and payroll solutions. This role reports directly to the Head of Engineering.
What You’ll Do
- 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
What You’ll Bring
- 4–6+ years of experience as an AI/ML Engineer or Data Scientist, ideally with startup or SaaS exposure
- 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
Requires 4–6+ years in AI/ML engineering or data science, Python, ML frameworks, production model deployment, cloud platforms, data versioning, MLOps, and model lifecycle management.
Key Responsibilities
- designing models
- developing pipelines
- monitoring performance
Skills & Tools
Python, TensorFlow, PyTorch, Hugging Face, AWS Sagemaker, GCP Vertex AI, Azure ML, MLOps, NLP, LLMs
Job Details
- Category: Software Development
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — India or Pakistan
- Languages: English
About Globalli
An early-stage HR technology startup developing global human resources and payroll solutions. — Industry: Information Technology