Data Engineer

Job Opportunity : Database & AI / ML Engineer (Dual-Purpose Role)

We are seeking an experienced Database & AI / ML Engineer. In this dual-purpose role, you will be at the forefront of shaping our AI strategy and building innovative AI products from scratch. You will play a crucial part in both database engineering and AI / ML development, ensuring that our systems are optimized, robust, and scalable.

Key Responsibilities :

• Assist with AI development and production infrastructure.
• Help business stakeholders understand the potential and limitations of AI.
• Build AI models and deploy them into production.
• Develop machine learning systems, forecasting algorithms, and analytics tools.
• Convert AI / ML models into APIs for operational use.
• Manage data science prototypes and select datasets for AI models.
• Build data ingest and transformation infrastructure.
• Maintain database integrity, optimize performance, and ensure fast query execution.
• Design, implement, and troubleshoot ETL (Extract, Transform, Load) processes.
• Engage in database warehouse design, development, and reporting.
• Collaborate with stakeholders and developers to implement efficient data solutions.

Skills & Competencies :

• Creative, decisive, and a strong problem-solver.
• Ability to work independently and within a team.
• Strong work ethic and attention to detail.
• Proficient in Python, SQL, and other AI / ML technologies.
• Experience with tools such as TensorFlow, PyTorch, Mlflow, NumPy, and GPT-3 (OpenAI).
• Knowledge of relational databases, data architecture, and database optimization.
• Familiarity with tools like Microsoft Visio, Erwin Data Modeler, and business intelligence software.

Qualifications :

• Matric or equivalent qualification.
• Bachelor's degree in Computer Science, Data Science, Software Development, or a related field (Master's preferred).
• At least 5 years of experience in big data, database management, and API development.
• Expertise in PostgreSQL, SQL, and data integration tools.
• Experience in machine learning algorithms and the use of deep learning frameworks.
• Strong presentation and communication skills.