seeking a highly skilled and experienced Senior Data Scientist Machine Learning Engineer to join our team in the oil and energy sector This role requires a unique blend of data science expertise and machine learning engineering capabilities The ideal candidate will have 810 years of experience developing and deploying robust scalable machine learning solutions in complex industrial environments

Responsibilities

Data Science Machine Learning

Develop and implement advanced machine learning models for predictive maintenance production optimization reservoir modeling and risk assessment specific to the oil and energy industry
Conduct indepth data analysis and feature engineering to identify patterns and insights from large datasets
Machine Learning Engineering
Design build and deploy scalable machine learning pipelines and infrastructure
Develop and maintain machine learning models in production environments ensuring performance reliability and security
Implement machine learning operations MLOps practices for continuous integration and continuous delivery CICD of models
Optimize machine learning models for performance and efficiency considering resource constraints and realtime requirements
Work with cloud platforms eg AWS Azure GCP to deploy and manage machine learning infrastructure
Containerize and deploy models using Docker and Kubernetes
Oil and Energy Domain Expertise
Apply deep understanding of oil and gas operations including upstream midstream and downstream processes
Collaborate with domain experts to identify opportunities for machine learning applications
Translate business requirements into technical specifications for machine learning solutions
Collaboration and Communication
Work closely with data engineers software developers and domain experts to deliver highquality machine learning solutions
Communicate complex technical concepts to nontechnical audiences
Mentor junior data scientists and machine learning engineers
Model Maintenance and Monitoring
Monitor model performance in production and implement strategies for model retraining and updating
Troubleshoot and resolve issues related to machine learning models and infrastructure

Qualifications

Masters or PhD in Computer Science Machine Learning Statistics or a related field
8 to 10 years of experience in data science and machine learning engineering
Strong programming skills in Python and relevant machine learning libraries eg scikitlearn TensorFlow PyTorch
Experience with cloud platforms AWS Azure GCP and containerization technologies Docker Kubernetes
Proven experience in deploying machine learning models in production environments
Strong understanding of machine learning algorithms and statistical modeling
Deep understanding of the Oil and Energy domain
Excellent problem solving and communication skills

Preferred Skills

Experience with MLOps tools and practices
Knowledge of database systems and data warehousing
Experience with real time data processing
Manufacturing, Mlops, Data Scientist, Machine Learning, Oil Gas

Role: Data Scientist

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate

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