Offer summary

Qualifications:

4–6+ years of experience as an AI/ML Engineer or Data Scientist, preferably in a startup or SaaS environment., Strong understanding of supervised/unsupervised learning, NLP, neural networks, and generative AI., Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Hugging Face., Experience deploying models in production using cloud platforms like AWS, GCP, or Azure..

Key responsabilities:

Design and implement machine learning models to address HR-specific challenges.

Collaborate with product managers and engineers to integrate AI features into the platform.

Develop and optimize data pipelines for model training and inference.

Monitor model performance and make improvements based on feedback and usage.

Job description

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

Required profile