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AI/ML Engineer

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field., 3+ years of experience in AI/ML engineering developing and deploying models..

Key responsabilities:

  • Design, develop, and implement ML/AI models tailored to industry-specific use cases.
  • Collaborate with data engineers, optimize algorithms, deploy models and drive continuous innovation.
WiselyWise Pte. Ltd. logo
WiselyWise Pte. Ltd. Education Startup https://wiselywise.com/
2 - 10 Employees
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Job description

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:

  • 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:

  • Experience with natural language processing (NLP) and computer vision.

  • Experience with real-time data processing and streaming analytics.

  • Familiarity with ethical AI practices and the ability to implement AI models responsibly.


Benefits
Why Join Us:

  • Opportunity to work on cutting-edge AI projects that have a tangible impact on critical industries.

  • Collaborative and innovative work environment.

  • Competitive compensation and benefits package.

  • Opportunities for professional growth and continuous learning.



Salary:

TBD

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Education
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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