Senior AI/ML Solutions Architect (Oil & Gas / Subsurface Applications)
In Time TecFull Timesenior
INPosted 9 days ago
Resume Keywords to Include
Make sure these keywords appear in your resume to improve ATS scoring
AWSDockerKubernetesMicroservicesAPI
Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score
Job Description
- Technical Expertise
- Proven experience across the entire SDLC, including presales discussions, requirements gathering, solution design, development, deployment, and delivery of complex enterprise applications
- Developed and deployed AI-powered solutions for seismic interpretation, well risk analysis, production forecasting, decline curve analysis, and predictive maintenance
- Designed configurable ML pipelines on DecisionSpace 365AI for multiple subsurface workflows, enhancing automated productivity through innovation
- Technical Toolkit
- Expertise in AWS SageMaker, EC2, S3, and scalable AI/ML deployments
- Designed secure, cloud-based architectures for high-performance computing and real-time analytics in oilfield operations
- Led the development of secure, high-performance, and scalable enterprise applications
- Experienced in microservices-based architecture, API gateways, Kubernetes, Docker containerization, and fault-tolerant systems
- Implemented DataOps and MLOps to automate data ingestion, model training, deployment, and monitoring
- Integrated ML model lifecycle management, ensuring reliable, scalable, and production-ready AI solutions in Oil & Gas applications
- Communication and Collaboration
- Strong communication skills demonstrated through effective collaboration with cross-functional teams, stakeholders, and clients in fast-paced environments
- Experience in leading discussions, gathering requirements, and aligning technical solutions with business objectives
- Detail-Oriented :
- Proven ability to design and implement robust software solutions with a focus on security, scalability, and performance
- Meticulous in reviewing system architectures, debugging complex issues, and ensuring high-quality deliverables in ML workflows and enterprise applications
- Adaptability
- Demonstrated adaptability through successful contributions to diverse systems, including enterprise management, seismic data processing, Oil and Gas enterprise applications and platforms.
About In Time Tec
In Time Tec
intimetec.com
LifecycleOn-site
Want AI-powered job matching?
Upload your resume and get every job scored, your resume tailored, and hiring manager emails found - automatically.
Get Started Free