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About The Position
mPrest is looking for AI Expert to lead the AI & ML domain, design, and roadmap.
Main responsibilities and deliverables:
- Analysis the projects and product needs related to AI
- Build state of art command and control software architecture which incorporate ML technology.
- Lead POC for platforms, tooling, and ML frameworks that should be incorporated in the product.
- Lead the definition of the AI/ML engineering and data scientists work pipeline.
- Build a solid AI/ML strategy plan and be responsible for plan implementation.
Requirements
- Experience as Software System Architect with a background in distributed computing, cloud-native, analytics, and mission-critical systems. With strong leadership capability within the RnD organization- a must
- 5+ years of proven experience in Date Scientist projects, including DNN and time series- a must
- 2+ years of experience with Public Cloud (AWS or Azure, or GCP)- a must
- 2+ years of experience with System Software Architecture- a must
- 2+ years of experience with microservices & K8s- a must
- 2+ years of experience with architectures that incorporated Analytics- a must
- 2+ years of experience with architectures that incorporated ML
- Experience with ML research, development, and deployment pipeline
Why Join Us
Empower Digital Transformation. Now.
Leveraging its unparalleled experience and expertise in real-time mission-critical command and control software, mPrest has developed the world-leading distributed asset orchestration and optimization software. mPrest's micro-services based, real-time orchestration and optimization platform brings the power of AI and IoT to the digital transformation of the energy and other industrial IOT markets. mPrest's applications suite, including Distributed Energy Resources Management Systems (DERMS) and Asset Health Management (AHM) are deployed on premise or in the cloud in record time in the most forward-looking and efficient organizations worldwide, including some of the world's largest energy companies. mPrest's vendor-agnostic product suite interfaces with millions of sensors, devices, machines, assets, subsystems, IT and OT applications, creating a system of systems that provides end-to-end visibility and control over complex and distributed operations.
