ActioNet is looking to augment digital transformation efforts by identifying and piloting AI use cases, translating business visions into technical implementations, and ensuring ethical AI implementation.
Requirements
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Experience with distributed data and computing tools.
- Knowledge and experience in statistical and data mining techniques.
- Experience visualizing and presenting data for stakeholders.
- Cloud Computing certifications (e.g. Azure Administrator, AWS Associate Level Cert, etc.).
- Experience with on-premises cloud technologies (e.g. Azure Stack, Amazon Snow, etc.)
Responsibilities
- Collaborate with data scientists and other AI professionals to augment digital transformation efforts by identifying and piloting use cases.
- Discuss the feasibility of use cases along with architectural design with business teams and translate the vision of business leaders into realistic technical implementation.
- Align technical implementation with existing and future requirements by gathering inputs from multiple stakeholders — business users, data scientists, security professionals, data engineers and analysts, and those in IT operations — and developing processes and products based on the inputs.
- Play a key role in defining the AI architecture and selecting appropriate technologies from a pool of open-source and commercial offerings.
- Select cloud, on-premises or hybrid deployment models, and ensure new tools are well-integrated with existing data management and analytics tools.
- Audit AI tools and practices across data, models and software engineering with a focus on continuous improvement.
- Work closely with security and risk leaders to foresee and overturn risks, such as training data poisoning, AI model theft and adversarial samples, ensuring ethical AI implementation and restoring trust in AI systems.
Other
- Secret clearance
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Computer Engineering, or related field.
