ML Engineer – Architect

Job not on LinkedIn

🕒 February 23

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Futuralis

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2011

🔒 Cybersecurity

Cloud Services • AI/ML • Cybersecurity

Futuralis is a cloud services and consulting company that empowers businesses to enhance their operations through advanced technologies like AWS Cloud Services, application modernization, and AI/ML solutions. They offer a range of services including cloud assessment, data analytics, application development, and security assessments to help organizations optimize costs, improve system performance, and safeguard against cybersecurity threats. With a focus on innovation and efficiency, Futuralis aims to elevate businesses into the future of digital transformation.

📋 Description

• Build and deploy end-to-end AI solutions • Develop machine learning and generative AI models • Perform data analysis • Scale solutions in production using cloud and MLOps practices

🎯 Requirements

• 5+ years of experience • Senior ML engineering expertise • Strong experience with Bedrock, Sagemaker, Agentic AI (strands, AgentCore, LangGraph) • Experience with guardrails and security of GenAI Solutions • Strong experience with Knowledgebase, RAG, prompt engineering, prompt optimization • Experience in deploying and scaling ML/GenAI solutions to production environment • Comfortable with supporting services like Lambda, State machines, Cloudwatch, Cloudtrail • Comfortable with MLOps

🏖️ Benefits

• Flexible work arrangements • Professional development