TL;DR

Data Science Engineer (AI/ML): Designing, building, and operationalizing large-scale predictive and prescriptive analytics that drive measurable business impact for customers with an accent on model orchestration, data pipelines, and transforming data into actionable solutions. Focus on designing and implementing ETL/ELT, performing exploratory data analysis on complex datasets, and building innovative AI/ML solutions across industries.

Location: Hybrid, based in Tunis, Tunisia

Company

%hirify_global% is a global leader in business cloud software products, delivering AI/ML solutions across various industries to help over 60,000 organizations worldwide with digital transformation.

What you will do

Design, build, and manage the end-to-end lifecycle of machine learning solutions, including model orchestration and data pipelines.
Design and implement ETL/ELT processes from customer data sources to support ML solution requirements.
Perform exploratory data analysis on large and complex datasets to assess quality, extract insights, and guide modeling.
Design and build innovative, pragmatic AI/ML solutions leveraging the latest technologies across industries.
Lead discussions with business stakeholders to identify challenges addressable with AI/ML.
Communicate analytical results and implications clearly to both technical and non-technical stakeholders.

Requirements

Bachelor’s degree (or foreign equivalent) in Mathematical Modeling, Operations Research, Computer Science, Telecommunications, Electrical, Industrial, or a related quantitative field.
Extensive real-world experience designing and implementing full ML/optimization solution pipelines (ETL, preprocessing, data analysis, prototyping, deployment, and inference).
Proficient programming skills in Python and data-querying skills using SQL, PySpark, or similar technologies.
Strong data modeling and problem-solving skills.
Hands-on experience with analytics and visualization tools such as Tableau or Power BI.
Excellent verbal, written, and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
Must be based in Tunis, Tunisia for hybrid work.

Nice to have

Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Keras.
Experience in building time-series forecasting and recommendation models.
Experience with applied AI/ML solutions in demand forecasting, anomaly detection, pricing, or recommendations.

Culture & Benefits

Join a global community of bold thinkers and innovators where your expertise shapes industries.
Opportunity to unlock opportunities and create real-world impact for billions of people.
Strive for an environment founded on Principle Based Management™ and eight Guiding Principles.
Commitment to a diverse and inclusive work environment as an Equal Opportunity Employer.
Work in a hybrid workplace setting.