AWS Certified AI Practitioner

🔥 2 hours ago

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Logo of Koniag Government Services

Koniag Government Services

1001 - 5000 employees

Founded 1975

🏛️ Government

🎖️ Defense

💼 Consulting

Government • Defense • Consulting

Koniag Government Services is an Alaska Native Corporation (ANC) that provides technical, professional, and operational expertise to the U. S. public sector. KGS supports Defense & Intelligence, Federal Civilian, and Health customers with enterprise solutions, professional services, and operations management, and emphasizes mission-focused outcomes, contracting speed (ANC direct awards), and strategic/technology partnerships. The company positions itself as a mission partner delivering people, technology, and program management to government customers.

📋 Description

• Identify, evaluate, and implement AWS AI and ML service solutions for IT Call Center operations • Design, develop, maintain, and optimize AWS AI and ML solutions using Amazon Lex, Polly, Comprehend, Rekognition, Transcribe, SageMaker, Bedrock, and related services • Implement AI-powered contact center capabilities in AWS Connect, including IVR, chatbots, call analytics, and agent assistance • Develop predictive analytics and machine learning models for call-volume forecasting, SLA-risk prediction, performance trends, and operational decision-making • Design NLP and sentiment-analysis solutions to analyze customer interactions and support quality assurance • Develop AI-powered workflow automation using AWS Lambda, EventBridge, Step Functions, and related services • Support SageMaker-based pipelines for training, testing, deployment, and monitoring of custom ML models • Align solution designs with AWS architecture standards, security requirements, and FedRAMP compliance • Monitor model performance, accuracy, and operational impact; perform updates, retraining, and optimization • Create technical documentation, architecture diagrams, model documentation, data-flow diagrams, and runbooks • Provide technical guidance on AWS AI/ML capabilities, solution design, and responsible AI • Support staff training and knowledge-sharing sessions • Contribute to business development, proposal efforts, technical solution concepts, and past-performance documentation

🎯 Requirements

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, Mathematics, or a related field; relevant experience may be considered in lieu of a degree • 3+ years of hands-on experience designing, implementing, and managing AWS AI and ML solutions • Experience developing and deploying solutions with Amazon Lex, Amazon Comprehend, Amazon Transcribe, Amazon Polly, and/or Amazon SageMaker • Experience integrating AWS AI and ML services with cloud-based operational platforms and enterprise systems • AWS Certified AI Practitioner certification required at time of hire • Proficiency in AWS AI services including Amazon Lex, Polly, Comprehend, Transcribe, Rekognition, SageMaker, and Bedrock • Working knowledge of NLP, conversational AI, sentiment analysis, speech-to-text, and text-to-speech • Proficiency in SageMaker Studio, SageMaker Pipelines, and SageMaker Model Monitor • Working knowledge of AWS Connect AI-powered contact center capabilities • Proficiency in AWS Lambda, Amazon EventBridge, and AWS Step Functions • Understanding of supervised and unsupervised learning, model training and evaluation, feature engineering, deployment, and monitoring • Proficiency in Python or similar scripting/programming languages • Working knowledge of AWS security, IAM, data privacy, and FedRAMP compliance • Proficiency in Microsoft Office Suite, Microsoft Teams, and SharePoint • Ability to obtain and maintain a government security clearance as required • Strong written and oral communication skills in English

🏖️ Benefits

• Health, dental and vision insurance • 401K with company matching • Flexible spending accounts • Paid holidays • Three weeks paid time off • Competitive compensation

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