We are looking for a skilled Database & AI/ML Engineer to design develop and deploy AI models while optimizing database systems. This dualpurpose role involves building AI infrastructure creating machine learning solutions and ensuring efficient data storage and integration. The ideal candidate will have expertise in AI/ML frameworks SQL and largescale data management with a strong focus on delivering highperformance systems.
We are seeking an experienced Database & AI/ML Engineer. In this dualpurpose 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 .
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 problemsolver.
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 GPT3 (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.
Bachelors degree in Computer Science Data Science Software Development or a related field (Masters 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.
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