Senior Applied AI Engineer

🕒 Junho 24

🏄 California, New York, +1 estados a mais – Remoto

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $200.560 - $250.700 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

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Omada Health

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2011

🏥 Saúde

⚕️ Seguro de Saúde

🧘 Bem-estar

💰 $192.000.000 Series E em 2022-02

Healthcare • Healthcare Insurance • Wellness

A Omada Health é uma empresa de Virtual Care focada em ajudar pessoas a alcançar seus objetivos de saúde por meio de suporte e programas personalizados. A empresa oferece soluções abrangentes de gestão da saúde para condições como diabetes, hipertensão e saúde musculoesquelética. A Omada fornece coaching de saúde individual e dispositivos inteligentes para monitorar e melhorar a saúde, criando planos de cuidado personalizados para seus usuários. Seus programas são projetados para serem acessíveis sem custo para os participantes quando cobertos pelo empregador ou pelo plano de saúde, tornando a Omada uma líder na oferta de cuidados virtuais de qualidade que são ao mesmo tempo pessoais e sustentáveis.

Descrição

• Lead the deployment of sophisticated AI models and applications using state-of-the-art tools and platforms. • Design and Develop AI solutions specifically harnessing the power of LLMs. • Work with industry-standard LLM APIs to inject cutting-edge AI functionalities into broader applications using your experience with cloud platforms like AWS and Azure. • Create models that drive business outcomes and make iterative improvements based on data-driven insights. • Ensure deployed models operate at peak efficiency, requiring a vigilant approach to performance monitoring and adjustment. • Deploy models within an Agile development framework, showcasing flexibility, rapid iteration, and a commitment to constant improvement. Proactively collaborate within the Applied AI team and cross-functionally with other development teams, product and business stakeholders to iterate on ideas, solve problems, and achieve shared goals.

🎯 Requisitos

• 5+ years of experience deploying AI models with demonstrated business impact. • Proven track record of designing, deploying, and managing end-to-end AI solutions, with a particular emphasis on Generative AI, prompt engineering techniques, and fine tuning. • Deep Expertise in utilizing tools for Generative AI interaction (OpenAI, Bedrock, Huggingface TGI, Ollama, langchain, llamaindex) • Expertise in machine learning tools (e.g., AWS SageMaker, PyTorch, Hugging Face) • General experience in cloud ML platforms (AWS, Azure, GCP), especially with their ML services (Sagemaker and Azure ML) • Successful monitoring of model performance post-deployment, with an ability to link AI solutions to tangible business impacts. • Strong capability for cross-team collaboration, working seamlessly with stakeholders across functional areas to deploy AI solutions that meet broader business needs. • A natural problem-solver, comfortable with navigating ambiguity and making decisions in complex environments. • A lifelong learner, continuously seeking to stay updated on new technologies and methodologies in the fast-evolving AI landscape. • Familiarity with Agile methodologies, demonstrating effectiveness in a fast-paced, iterative development environment. • BA/BS in Computer Science or a related technical field or equivalent practical experience • Interest in the intersection of healthcare and AI

🏖️ Benefícios

• Competitive salary with generous annual cash bonus • Equity grants • Remote first work from home culture • Flexible Time Off to help you rest, recharge, and connect with loved ones • Generous parental leave • Health, dental, and vision insurance (and above market employer contributions) • 401k retirement savings plan • Lifestyle Spending Account (LSA) • Mental Health Support Solutions • ...and more!