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Designs and builds autonomous AI-driven data systems using LLMs, agent frameworks, and AWS services to power scalable, self-orchestrating pipelines and decision-making applications.
Design and run automated tests for AI/ML apps, LLM-powered tools, and chatbots using Playwright, REST Assured, and Python; validate AI outputs for accuracy, bias, and safety.
Lead a team to build and deploy scalable ML models and analytics pipelines in AWS for media and entertainment use cases like audience analysis, content performance, and marketing optimization.
Senior AI Engineer builds predictive models, simulations, and optimization tools for Marine Corps logistics using Python, TensorFlow, and PyTorch to improve readiness and decision-making.
Build AI-powered language learning tools using Python, React, and AWS, integrating LLM capabilities into scalable cloud-native apps for a global EdTech platform.
Lead a team to design and scale AI/ML and MLOps platforms that power RBC’s credit decisioning and risk management systems using distributed data processing, cloud infrastructure, and real-time inference.
Designs and enforces security controls for an AI/ML platform on AWS, focusing on AI model integrity, data privacy, and cloud security in a biotech company.
Designs, secures, and automates cloud infrastructure for a DoD-compliant environment, focusing on CI/CD, container orchestration, IaC, and FedRAMP High/DoD IL5 security controls.
Build and maintain scalable data pipelines using Databricks, PySpark, and SQL to process large datasets for analytics and insights in a healthcare biotech company.
Build predictive maintenance models and data architectures for a nuclear weapon system using Python, AWS, and ML to forecast component lifespans and reduce lifecycle costs.
Confido is the AI infrastructure powering modern CPG — the platform that 200+ brands like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana use to run everything from deductions to production planning. Finance,…
Senior AI/ML Engineer designs, deploys, and scales secure, production-grade AI/ML systems for defense missions, defining MLOps standards and collaborating with cross-functional teams.
Design and deploy secure, scalable AI/ML systems and MLOps pipelines to support defense missions, collaborating with cross-functional teams in a classified environment.
Designs and owns AWS-based AI systems that turn open-source data into mission intelligence for defense and intelligence customers, focusing on air-gapped and classified environments.
- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience -…
- Experience programming with at least one software programming language - 1+ years of non-internship professional software development experience - 1+ years of non-internship design or architecture (design patterns,…
- 7+ years of design/implementation/operations/consulting with distributed applications experience - 5+ years of management of technical, enterprise customer facing resources or equivalent experience - Experience…
- Experience working as a Data Scientist - Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent) - Experience in…
- Experience with AI/ML technologies - Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience); 8+ years of experience in data engineering, data architecture,…
- Master's degree or above in computer science, engineering, mathematics or equivalent, or Bachelor's degree in computer science, engineering, mathematics or equivalent - Experience in IT development or…
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