Senior AIML Applications Architect
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Description Summary
GE Vernova is accelerating the path to more reliable affordable and sustainable energy while helping our customers power economies and deliver the electricity that is vital to health safety security and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the worldWe are seeking an experienced and highly skilled Applications Architect to lead the design development and deployment of advanced machine learning (ML) and generative AI solutions. The role combines deep technical expertise in AI/ML architecture with leadership responsibilities requiring someone who can drive innovation from concept to production while managing high-performing project teams. This role will also involve developing Proof of Concepts (PoCs) and ensuring the deployment of models on the edge or cloud-based systems.
This position will collaborate closely with Grid Automation (GA) product lines R&D teams product management and other GA functions to drive efficiency and innovation.
Job Description
Responsibilities:
Design and architect scalable AI/ML solutions including generative AI applications tailored to grid automation and digitalization technologies as well as business efficiency. Ensure optimal performance of these solutions across edge and cloud deployment environments.
Establish architectural standards best practices and technical guidelines for AI/ML development across the CTO organization in collaboration with GEV AI/ML partners.
Build a strong technical foundation with architecture built on modular/microservices cloud/edge API 1st privacy by design philosophies; infrastructure concepts of containerization orchestration auto-scale capabilities (compute storage network) and infra-as-code; development concepts of automation (CI/CD data and MLOps pipelines) code assist and sandboxes for collaboration experimentation.
Design and deploy on GE GridNode/edge platforms using container and microservices principles and best practices. Develop and implement strategies for optimizing performance of models in production.
Collaborate with cross-functional teams to integrate AI/ML capabilities into existing platforms and develop new intelligent business efficiency and product line solutions.
Stay current with state-of-the-art developments in AI/ML generative AI and energy systems technology through continuous monitoring of research and industry trends.
Evaluate and recommend emerging technologies and methodologies (AIML tools platforms vendor solutions) for their potential application to grid automation challenges and business opportunities; design execute and demo proof-of-concepts (PoCs) to validate new AI/ML approaches and assess their feasibility for energy system applications.
Required Qualifications:
Minimum of a Bachelors degree in Computer Science Electrical Engineering Data Science or related technical field.
Minimum of 7 years of hands-on experience within software engineering AI/ML development and/or architectural roles.
Desired Characteristics:
Proven expertise in machine learning frameworks (TensorFlow PyTorch Scikit-learn etc.) and generative AI technologies (LLMs SLMs diffusion models GANs).
Proven experience in applying AI/ML frameworks/workflows AI/MLOps and CI/CD using cloud-native and on-prem development and deployment in operational technology/industrial automation environments.
Experience developing and implementing ML models using cloud MLOps pipelines such as AWS Sagemaker Azure ML Google VertexAI Dataiku Cloud or equivalent.
Hands-on professional experience in developing and testing AI/ML algorithms and demonstrated professional experience with grid/physics models in power system simulation tools MATLAB/PSCAD; as well as power system analysis SW such as PSS/E Digsilent or equivalent.
Experience with DevOps data pipelines Azure ML registry deployment methods (Docker K8s etc.).
Proven experience designing solutions that include the full AI/ML project lifecycle: data acquisition (real-time/streaming batch and response/request) data quality assurance engineering model selection and evaluation tuning testing deployment maintenance and evolution.
Strong background in edge computing IoT deployments and cloud platforms (AWS Azure GCP).
Expertise of GraphDB SQL/NoSQL MS Access databases.
Proficiency in programming languages including Python C# or C as well as scientific programming simulation tools such as MATLAB or R.
Experience with time-series analysis signal processing load forecasting and predictive modeling relevant to energy systems and grid operations.
Proven track record of successfully delivering complex AI/ML projects from conception to deployment.
Track record of applying research insights to solve real-world business problems and deliver commercial solutions; ability to balance innovation with practical implementation constraints and business requirements.
Understanding of industrial IoT edge computing requirements and real-time data processing in critical infrastructure environments.
Additional Information
Relocation Assistance Provided: No
Required Experience:
Senior IC
About Company
GE Vernova's Asset Performance Management software can help you increase asset reliability, minimize costs and reduce operational risks. View a demo today.
