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About Us:
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 AIdriven 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.
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 AIdriven 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.
Model Development: Design develop and implement machine learning models and AI algorithms tailored to industryspecific 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 highquality 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 endtoend solutions that meet business objectives.
Model Deployment: Deploy machine learning models into production environments using industrystandard tools and frameworks ensuring reliability and scalability.
Continuous Improvement: Monitor the performance of AI models postdeployment making iterative improvements based on feedback and changing business needs.
Innovation: Stay uptodate 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.
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 Scikitlearn.
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 problemsolving 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.
Experience with natural language processing (NLP) and computer vision.
Experience with realtime data processing and streaming analytics.
Familiarity with ethical AI practices and the ability to implement AI models responsibly.
Opportunity to work on cuttingedge 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.
Full Time