Location: Indsafri (Onsite)

Job Type: 6 Months – Initial Contract (extendible)

Key Responsibilities:

• Design, develop, and deploy machine learning models for various business use cases.
• Build and optimize data pipelines for training and inference of ML models.
• Work with structured and unstructured data to preprocess and feature engineer datasets.
• Optimize model performance and scalability for production deployment.
• Implement A/B testing and model monitoring strategies to ensure continuous improvement.
• Collaborate with data scientists to refine models and algorithms.
• Deploy ML models using cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
• Research and stay up-to-date with the latest advancements in AI and ML.
• Ensure compliance with data privacy and ethical AI guidelines.

Required Qualifications & Skills:

• BSc in Computer Science, AI, Data Science, or a related field.
• Proven experience in machine learning, deep learning, and statistical modelling.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of big data technologies (Spark, Hadoop) and databases
• (SQL, NoSQL).
• Hands-on experience with cloud services (AWS, GCP, or Azure) and MLOps tools.
• Familiarity with version control (Git), CI/CD pipelines, and containerization.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and teamwork skills.

Preferred Qualifications:

• Experience in natural language processing (NLP), computer vision, or reinforcement learning.
• Knowledge of model explainability, fairness, and AI ethics.
• Experience with edge AI and on-device machine learning.