Data Engineer II

🔥 0 minutes ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $93.3k - $100k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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eSimplicity

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

⚕️ Healthcare Insurance

📡 Telecommunications

🤖 Artificial Intelligence

Healthcare Insurance • Telecommunications • Artificial Intelligence

eSimplicity is a company comprised of designers, engineers, and strategists that excels in creating digital services and healthcare IT solutions. They simplify complexity to deliver award-winning products and services that enhance customer experiences, improve public health, and secure the nation. Specializing in areas such as healthcare IT, telecommunications, identity management, and fraud prevention, they work with organizations like the Centers for Medicare & Medicaid Services (CMS) to improve healthcare access and quality. eSimplicity is recognized for their innovative approaches in spectrum management, data analytics, and machine learning, aiming to broaden healthcare coverage and simplify processes for healthcare providers and beneficiaries.

📋 Description

• Drive the design, development, and operationalization of advanced large-language-model capabilities across a cloud-based analytics ecosystem. • Lead innovation efforts around cutting-edge AI, owning the architecture and strategy for fine-tuning and Retrieval-Augmented Generation (RAG). • Guide the development of high-impact prototypes and oversee the evolution of scalable LLM pipelines. • Ensure robust governance, security, and performance across all model implementations. • Provide technical leadership, evaluate emerging LLM technologies, set best practices, and help drive transformation through effective deployment of generative AI.

🎯 Requirements

• All candidates must pass public trust clearance through the U.S. Federal Government. • U.S. citizens or pass clearance through the Foreign National Government System. • Bachelor’s Degree and 5+ years of previous systems engineering experience • Experience developing and working with large language models (LLMs) • Experience fine-tuning LLMs, applying parameter-efficient training methods and developing effective prompt engineering strategies. • Experience designing, implementing, and optimizing Retrieval-Augmented Generation (RAG) solutions. • Hands-on experience with LLM development frameworks and orchestration tools such as LangChain, LlamaIndex or similar technologies. • Strong Python programming skills with experience building, testing, and deploying AI/ML applications. • Experience working with distributed computing environments or large-scale model training and inference. • Experience designing, deploying, and supporting AI/ML solutions in cloud environments such as Microsoft Azure, AWS, GCP. • Knowledge of MLOps and LLMOps practices.

🏖️ Benefits

• medical, dental, and vision coverage • 401(k) retirement benefits • paid time off • paid holidays • life and disability insurance • additional wellness and employee support programs