This is a remote position.
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:
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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.
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Data Processing: Collaborate with data engineers to build and maintain robust data pipelines, ensuring high-quality data is available for model training and deployment.
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Algorithm Optimization: Optimize machine learning models for performance, scalability, and accuracy, employing techniques such as hyperparameter tuning, model selection, and feature engineering.
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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.
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Model Deployment: Deploy machine learning models into production environments using industry-standard tools and frameworks, ensuring reliability and scalability.
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Continuous Improvement: Monitor the performance of AI models post-deployment, making iterative improvements based on feedback and changing business needs.
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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.
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Documentation: Create comprehensive documentation for developed models, algorithms, and processes to ensure knowledge sharing and maintainability.
Qualifications:
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Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus.
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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.
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Technical Skills:
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Proficiency in programming languages such as Python, R, or Java.
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Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
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Strong understanding of data structures, algorithms, and software design principles.
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Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI models.
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Familiarity with big data technologies such as Hadoop, Spark, or Kafka is a plus.
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Experience with containerization and orchestration tools like Docker and Kubernetes.
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Analytical Skills: Strong problem-solving skills with the ability to analyze complex datasets and develop innovative AI solutions.
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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:
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Experience with natural language processing (NLP) and computer vision.
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Experience with real-time data processing and streaming analytics.
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Familiarity with ethical AI practices and the ability to implement AI models responsibly.
Benefits
Why Join Us:
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Opportunity to work on cutting-edge AI projects that have a tangible impact on critical industries.
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Collaborative and innovative work environment.
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Competitive compensation and benefits package.
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Opportunities for professional growth and continuous learning.