Data Science Engineer (AI)

TL;DR

Data Science Engineer (AI): Designing, building, and operationalizing large-scale predictive and prescriptive AI/ML analytics solutions with an accent on end-to-end machine learning pipelines, data engineering, and business impact. Focus on developing innovative AI/ML models, collaborating with stakeholders, and leading technical discussions.

Location: Hybrid in Tunis, Tunisia

Company

hirify.global is a global leader in business cloud software products delivering industry-specific suites with a focus on user experience, data science, and digital transformation.

What you will do

• Design, build, and manage end-to-end machine learning solutions including model orchestration and data pipelines.
• Implement ETL/ELT processes from customer data sources to support ML requirements.
• Perform exploratory data analysis on large datasets to extract insights and guide modeling.
• Lead discussions with business stakeholders to identify AI/ML opportunities and communicate results clearly.
• Review and guide junior team members' work within projects.
• Share technical knowledge through blogs, GitHub, and presentations.

Requirements

• Location: Hybrid work in Tunis, Tunisia
• Bachelor’s degree in a quantitative field such as Mathematical Modeling, Computer Science, or related.
• Experience designing and implementing full ML/optimization pipelines including ETL, preprocessing, deployment.
• Proficient in Python programming and data querying with SQL or PySpark.
• Strong data modeling, problem-solving, and communication skills.
• Experience with analytics and visualization tools like Tableau or Power BI.

Nice to have

• Knowledge of ML frameworks such as TensorFlow, PyTorch, or Keras.
• Experience building time-series forecasting and recommendation models.
• Applied AI/ML experience in demand forecasting, anomaly detection, pricing, or recommendations.

Culture & Benefits

• Commitment to a culture based on Principle Based Management and eight guiding principles including integrity and transformation.
• Inclusive and diverse work environment with equal opportunity employment.
• Global community of innovators focused on impactful solutions and digital transformation.