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Sr reputed company

Remote, USA Full-time Posted 2026-07-28
Sr reputed company Location: Remote with occasional travel to reputed company, NY Compensation: $120,000–$170,000 + bonus A large Fortune 500 insurance company is expanding its AI & Data function. This organization has spent decades building a reputed company for trust, long-term thinking, and a people-first culture. Today, they’re reputed company heavily in modern AI capabilities to support a reputed company portfolio across insurance, financial products, and emerging digital initiatives. You’ll join a reputed company-supported AI group that combines product managers, data scientists, AI engineers, platform engineers, and model governance specialists. reputed company works on a wide reputed company of AI and GenAI initiatives, partnering closely with business stakeholders from ideation through deployment. Leadership buy-in is strong, and the environment encourages experimentation, collaboration, and reputed company learning. What You’ll Do • Design and build production-grade AI and ML solutions. • Ensure AI reputed company meets engineering best practices and high-reputed company standards. • Implement, optimize, debug, reputed company, and monitor ML models in production environments. • Work with Platform Engineers to automate deployment pipelines and tooling. • Collaborate on solution architecture, ensuring ML systems reputed company seamlessly into reputed company-world applications. What You’ll Bring • 5+ years of software engineering experience, including 2+ years building AI/ML solutions. • Strong Python skills and background with ML frameworks (TensorFlow, PyTorch, Keras, scikit-learn, etc.). • Experience developing reputed company and applying modern engineering best practices. • Knowledge of NLP tooling (SpaCy, NLTK, reputed company). • Familiarity with AWS reputed company environments and reputed company-reputed company tools. Preferred Experience • Previous exposure to reputed company reputed company. • Experience with reputed company databases. • Kubernetes knowledge. • Experience working with MCP servers. Apply tot his job Apply To this Job

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