Job Description

"We are an International Hr consulting and procurement firm. With expertise in Recruitment & Selection, Performance management, Training & Development, Compensation and benefits as well as Outsourcing of goods and services for organizations."
The Role

• Design, implement, and deploy machine learning models for predictive analytics, recommendation systems, anomaly detection, and other AI-driven applications.
• Work with large, complex datasets to perform data cleaning, feature engineering, and transformation for model training.
• Develop end-to-end ML pipelines, from data ingestion to model deployment and monitoring in production.
• Work with software engineers and product teams to integrate ML models into applications and services.
• Monitor model performance, troubleshoot issues, and implement improvements to ensure reliability and accuracy.
• Evaluate new algorithms, tools, and frameworks to enhance the company's ML capabilities.
• Document model architectures, assumptions, and design decisions for knowledge sharing and reproducibility.

Ideal Profile

• You possess an advanced degree, ideally a PHD, in Mathematics, Statistics, Computer Science or a related field.
• 7+ years of experience in machine learning, AI engineering, or applied data science.
• Strong expertise in Python, ML frameworks (TensorFlow, PyTorch, scikit-learn), and data processing tools (Pandas, NumPy, Spark).
• Hands-on experience designing and deploying ML models to production at scale.
• Strong understanding of supervised, unsupervised, and reinforcement learning techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and deploying ML pipelines in cloud environments.
• Ability to solve complex, ambiguous technical problems and deliver production-ready solutions.
• Excellent collaboration and communication skills to work across engineering, data, and product teams.

What's on Offer?

• Great work environment
• Opportunity to make a positive impact
• Flexible working options

Skills Required