The Apps Dev Tech Lead analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority
Take on a crucial role where youll be a key part of a high-performing team delivering secure software solutions. Make a real impact as you help shape the future of software security at one of the
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people.Our 13,000+ people are united in a shared purpose to pursue the limitless
VISA INDEPENDENT CANDIDATES ONLY ! Overview We are seeking a passionate and hands-on AI/ML Engineer to accelerate our Enterprise Observability strategy. This role will design, build, and operationalize AI/ML capabilities that enhance end to end telemetry
Location: USCENTCOM HQ, MacDill AFB, FL Security Clearance: TS/SCI clearance required Responsibilities: Develop predictive models for operational logistics (demand forecasting, resource optimization) Utilize time-series analysis (e.g., ARIMA, Exponential Smoothing) and machine learning models (Random Forest, Gradient
Take on a crucial role where youll be a key part of a high-performing team delivering secure software solutions. Make a real impact as you help shape the future of software security at one of the
As Applied AI/ML Lead within Commercial & Investment Bank with the Healthcare Provider team, you will lead the design, development, and production deployment of AI/ML solutions focused on image classification, text categorization, and data extraction from
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side