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Machine Learning Model Developer for Oil and Gas

1 week ago

Singapore WiselyWise Full time

At WiselyWise, we are leading the charge in AI-driven technology innovation.

We seek a skilled Machine Learning Model Developer to join our team and drive the development and deployment of advanced machine learning models and AI-driven solutions for the upstream Oil & Gas sector.

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.


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 engineering, with a proven track record of developing and deploying machine learning models in a production environment.


Technical Skills:
Proficiency in programming languages such as Python, R, or Java.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Strong understanding of data structures, algorithms, and software design principles.
Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI models.
Familiarity with big data technologies such as Hadoop, Spark, or Kafka is a plus.
Experience with containerization and orchestration tools like Docker and Kubernetes.

Analytical Skills:
Strong problem-solving skills with the ability to analyze complex datasets and develop innovative AI solutions.

Communication:
Excellent verbal and written communication skills, with the ability to collaborate effectively across multidisciplinary teams.

Industry Knowledge:
Experience in the Oil & Gas sector is a plus but not required.
Preferred qualifications include experience with natural language processing (NLP) and computer vision, real-time data processing and streaming analytics, and familiarity with ethical AI practices.