AI/ML Engineer - WiselyWise

About Us:

​

WiselyWise is a leading innovator in AI-driven technology.

We are seeking a highly skilled AI/ML Engineer to join our team and drive the development and deployment of advanced machine learning models and AI-driven solutions. The ideal candidate will have a strong background in machine learning algorithms, data processing, and software engineering, with a passion for solving complex problems in a dynamic environment.

This role will play a critical part in the implementation of AI technologies within the upstream Oil & Gas sector, helping to optimize exploration, drilling, and production processes.

Job Overview:

We are seeking a highly skilled AI/ML Engineer to join our team and drive the development and deployment of advanced machine learning models and AI-driven solutions. The ideal candidate will have a strong background in machine learning algorithms, data processing, and software engineering, with a passion for solving complex problems in a dynamic environment. This role will play a critical part in the implementation of AI technologies within the upstream Oil & Gas sector, helping to optimize exploration, drilling, and production processes.

Requirements

Key Responsibilities:

Model Development:Design, develop, and implement machine learning models and AI algorithms tailored to industry-specific use cases, particularly in predictive analytics, natural language processing, and computer vision.

Data Processing:Collaborate with data engineers to build and maintain robust data pipelines, ensuring high-quality data is available for model training and deployment.

Algorithm Optimization:Optimize machine learning models for performance, scalability, and accuracy, employing techniques such as hyperparameter tuning, model selection, and feature engineering.

Collaboration:Work closely with data scientists, domain experts, and software developers to integrate AI models into production systems and create end-to-end solutions that meet business objectives.

Model Deployment:Deploy machine learning models into production environments using industry-standard tools and frameworks, ensuring reliability and scalability.

Continuous Improvement:Monitor the performance of AI models post-deployment, making iterative improvements based on feedback and changing business needs.

Innovation:Stay up-to-date with the latest advancements in AI/ML technologies and best practices, and apply this knowledge to drive continuous innovation within the team.

Documentation:Create comprehensive documentation for developed models, algorithms, and processes to ensure knowledge sharing and maintainability.

Qualifications:

Education:Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus.

Experience:3+ years of experience in AI/ML enginee