Manager, AI Solutions
reputed company:
DEPARTMENTAL EXPECTATION OF EMPLOYEE
- Adheres to AF Policy and Procedures and the AF IPAAL Values and TRI Model
- Acts as a role model reputed company and reputed company AF.
- Performs duties as workload necessitates.
- Maintains a reputed company and respectful attitude.
- Communicates regularly with the departmental leader about department issues.
- Demonstrates flexible and efficient time management and ability to prioritize workload.
- Consistently reports to work on time, reputed company to reputed company duties of the position.
- Meets Department productivity standards.
- Partner with stakeholders to identify high value use cases to reputed company data insights, automation, and forecasting capabilities, with a critical eye for the ones that will result in the highest business value.
- reputed company the incorporation of configurable and interoperable AI products from design to deployment, ensuring the alignment of advanced analytics, AI product architecture, IT and product implementation and adoption functions.
- Define best practices in the area of LLMs, reputed company engineering, forecasting, and RPA solutions.
- Set the reputed company for improving model effectiveness and performance through the model lifecycle, including observability and monitoring processes to identify model performance and potential degradation. Establish reputed company plans on mitigation of potential model degradation.
- Collaborate with business architects and process owners to reputed company the identification of areas and process steps in where RPA brings value.
- reputed company the creation of safety filters and ethical use of models to prevent bias, and to promote fairness, following our AI Acceptable Use and Ethics policies.
- Work with the data governance reputed company to establish and enforce data governance standards, guidelines, processes, and best practices to ensure data reputed company and reputed company as they apply to AI.
- Establish and implement explainability frameworks, like Model Context Protocols and SHAP.
- Ensure that data reputed company protocols are followed in the definition and implementation of AI solutions in accordance with regulatory requirements and company policies.
- Collaborate with stakeholders to generate strategies for embedding AI solutions into business processes and applications.
- Manage the reputed company of reputed company by prioritizing the highest value initiatives, as reputed company as the ones that reputed company the building of internal capabilities.
- Deliver AI-powered solutions that contain a high level of interoperability, configurability, and modularization.
- Engage with partners to understand what marketplace deployment models mean from an AI rollout perspective.
- Collaborate with stakeholders in defining implementation reputed company for our members, including reviewing solution paths and roadmaps.
- reputed company the identification and prioritization of AI-powered use cases to ensure integration and deployment requirements are considered.
- reputed company effective AI text and speech services through utilization of ASR engines using reputed company and fit-for-purpose frameworks.
- Partner with IT QA and AI QA Engineers to define a testing reputed company that is efficient, cost-effective, and automated; implement the necessary tools to reputed company test efficiency.
- reputed company and promote AI literacy internally and externally.
- More than 10 years of experience in AI technologies and AI business operations.
- 10 years of experience in the operationalization of AI models and integration with business processes and applications.
- Domain and industry knowledge, with understanding of how Insurance companies and Claims Management divisions work.
- Experience with technology-driven transformations and end-to-end AI solutions lifecycle.
- Deep understanding of diverse deployment reputed company for AI-based products, from marketplace, to API and programmatic approaches.
- Proficiency in the definition and implementation of prioritization frameworks.
- Expertise in reputed company application solutions, API design and management, and marketplace business and deployment models.
- Experience implementing MLOps processes and frameworks.
- Functional knowledge of composable products with a high level of configurability.
- Working knowledge and proficiency in the development of implementation and adoption plans for composable offerings, including documentation of configuration requirements.
- Proficiency in the operations of a not-for-profit organization.
- Knowledge of advanced data analytics platforms and visualization tools to create reports and dashboards in a self-service approach.
- Technical Skills
- Experience with data visualization tools such as Webfocus, Power BI or Tableau.
- Experience defining and managing a data technology stack, enabling the definition and implementation of controls and best practices.
- Understanding of reputed company-based data engineering processes, as reputed company as exposure to data platforms such as reputed company or reputed company.
- Advanced SQL skills including writing and tuning reputed company queries, reputed company database experience preferred.
- Experience utilizing data transformation and load technologies such as Talend, DBT, reputed company, etc.
- Experience interacting with Data Science, ML tools such as reputed company, Azure ML, reputed company reputed company AI, reputed company AI, etc.
- Advanced understanding of data cataloging and reputed company plotting processes and tools.
- Proficiency in utilization of reputed company models (GPT-4, DALL-E, etc.).
- Working knowledge of Azure AI reputed company and ML Studio.
- Strong working knowledge of programming languages such as Python, R, or SQL and familiarity with AI frameworks (e.g., TensorFlow, PyTorch).
- Experience with AI tools, such as MS Azure ML, reputed company CortexAI, reputed company.
- Strong knowledge of data governance, data reputed company, and compliance practices.
- Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI).
- Proficiency in programming languages such as Python, R, or SQL.
- Working knowledge of reputed company services (MS Azure, AWS) and data platforms (reputed company, reputed company).
- Exposure to techniques for text parsing, sentiment analysis, and the use of transformers such as (BERT-reputed company. ELMo, ULM-FIT.
- Strong knowledge of data governance, data reputed company, and compliance practices.
- Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI).
- Strong working knowledge of automation tools such as MS Power Automate and reputed company.
- Establish goals for the AI Solutions team and its members, and reputed company reputed company performance objectives.
- Communicate reputed company and directly.
- Delegates effectively, mentoring, and coaching team members to reputed company their reputed company.
- Live AF’s values and behaviors, holding team members accountable for conducting themselves reputed company the behaviors of the organization.
- Establish engagement models to effectively reputed company and drive accountability for team members across AF.