Senior Applied AI Engineer

Job not on LinkedIn

🔥 4 minutes ago

🏄 California, New York, +1 more states – Remote

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

💵 $200.6k - $250.7k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Omada Health

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

⚕️ Healthcare Insurance

🧘 Wellness

☁️ SaaS

💰 $192M Series E on 2022-02

Healthcare Insurance • Wellness • SaaS

Omada Health is a virtual care company focused on helping individuals achieve their health goals through personalized support and programs. The company offers comprehensive health management solutions for conditions like diabetes, hypertension, and musculoskeletal health. Omada provides one-on-one health coaching and smart devices to monitor and improve health, creating personalized care plans for its users. Its programs are designed to be accessible at no cost to participants when covered by their employer or health plan, making Omada a leader in delivering quality virtual care that is both personal and sustainable.

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

• 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!