AI/ML Cloud Engineer(Short Term Assignment(Internship)) - Current Pursuing Masters(Highly Preferred)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, eSystems, Inc., is seeking the following. Apply via Dice today! Position: AI/ML Cloud Engineer Location: Remote / Hybrid (Based on candidate availability) Engagement: Internship Relevant Experience (Minimum) : 3 Years Compensation : To be discussed on a case-to-case basis eSystems is a leading systems integrator specializing in Health & Human Services (HHS) and WorkForce Services modernization for State and Local Government agencies. As part of our transformational AI Compass Program, we are developing next-generation, AI-powered, cloud-based capabilities including our Omni-Channel Platform (OCP)—a cloud-hosted solution integrating IVR, Chat, SMS, and Web channels using advanced GenAI and conversational intelligence tools. We are seeking talented graduate students who want hands-on experience building real, production-grade AI/ML and cloud-native applications while working with senior engineers and architects on high-impact technology that improve citizen experiences and service delivery. Candidates may be considered for potential full-time employment and visa sponsorship based on performance. Key Responsibilities The AI/ML Graduate Intern will support the development, enhancement, and testing of OCP and AI Compass capabilities. AI & Machine Learning (Core Responsibility Area) • Assist in building and integrating GenAI components using AWS Bedrock (Claude, Llama, etc.). • Develop prompt architectures, model evaluation scripts, and safe-use mechanisms including bias minimization, explainability, and testing frameworks. Application & Cloud Engineering • Develop and enhance backend services and microservices for OCP using Java, C#, Python, or similar languages. • Build reusable APIs, AWS Lambda functions, and cloud integrations for multi-channel communication systems. • Work on conversational flows using Amazon Lex, Bedrock Agents, Connect, and related cloud tooling. Web & System Development • Support front-end and middleware development for web applications. • Assist with data processing pipelines, case-processing logic, and integration with relational or NoSQL databases. Required Qualifications The ideal candidates will: • Be enrolled in or have completed a graduate degree with applied AI coursework in Computer Science, Data Science, Information Systems or related field, and have a passion for building real-world solutions. • Have strong foundational programming experience, and hands-on exposure through academic or project work involving machine learning, NLP, or statistical modeling. • Must have at least 3 years of cumulative programming experience (including academic, internship, research, or industry). • Have strong experience in Java, C#, Python, or modern scripting languages. • Have a solid understanding of databases (SQL or NoSQL). • Have experience building web applications or backend systems. • Have minimum 2 years of hands-on AWS experience, covering services such as Lambda, S3, API Gateway, DynamoDB/RDS, IAM, VPC basics, Bedrock, Lex, Connect • Be familiar with language model concepts, LLM prompt design, model behaviors, and safe use considerations. • Have experience working with LLMs in development environments (e.g., building apps using OpenAI, Bedrock, HuggingFace, LangChain, etc. • Be familiar with modern DevOps tools (GitHub, containerization, CI/CD pipelines). • Must be a quick learner, work with minimal supervision, and have excellent written and verbal communication skills. How To Apply Interested candidates should apply with resume highlighting relevant academic coursework and any AI/ML project experience. Apply tot his job