Applied AI/ML Data Engineer

Company Description

At Intuitive, we are centered around our mission: we are committed to the idea that minimally invasive medical care is life-enhancing care. We utilize inventive and intelligent technology to broaden the capabilities of physicians, allowing them to heal without constraints.

As an innovator and trendsetter in the field of robotic-assisted surgery, we nurture an inclusive and diverse team dedicated to making a difference. For over 25 years, we have collaborated with hospitals and care teams around the world to address some of the most complex challenges in healthcare and to push the boundaries of what is possible.

Intuitive has been established through the work of exceptional individuals from diverse backgrounds. We hold the belief that great ideas can emerge from anywhere. We aim to cultivate an inclusive environment centered around diversity of thought and mutual respect. We set the bar with inclusion and enable our team members to be their best, authentic selves at work.

Our corporate culture is driven by passionate individuals who strive to make a difference. Our team members are deeply rooted in integrity, have an innate desire to learn, possess the energy to accomplish objectives, and offer diverse, real-world experiences that help us think in innovative ways. We actively invest in our team members to facilitate their long-term professional development so they can persistently promote our mission and reach their fullest potential.

Join a team that is dedicated to making monumental strides for a worldwide community of healthcare professionals and their patients. Let's collectively push the boundaries of minimally invasive medical care.

Job Description

Main Role:

The role of the Applied AI/ML Engineer is vital in incorporating Generative AI and Machine Learning (ML) solutions into Enterprise Analytics. These technologies possess transformative potential to streamline operations, provide valuable insights, and foster innovation, thereby shaping the future of our organization.

The AI/ML Engineer will be crucial in identifying, testing, and implementing scalable and cost-effective AI and ML solutions across the teams supported by Enterprise Analytics. By maintaining, troubleshooting, and optimizing AI models to develop business applications based on them, this role will significantly upgrade our organization's analytical abilities. The AI/ML Engineer will directly cooperate with business stakeholders, IT partners, enterprise data architects, data engineering, and external service providers to ensure that newly developed capabilities cater to business requirements and aid its growth.

Duties and Responsibilities:

• Design and manage the framework for incorporating and refining third-party AI NLP and/or Computer Vision models into the company's technology stack.
• Address any integration challenges and ensure the uninterrupted performance of the integrated models.
• Cooperate with stakeholders to understand functional requirements and refine and/or train AI models to enhance their efficiency in performing specific tasks.
• Create end-to-end ML Ops pipelines, including AI applications. Maintain, troubleshoot, and improve ML and AI models in production environment, and monitor the models' performance.
• Develop business applications utilizing AI models and work with a team of engineers to create and deploy ML solutions.

Qualifications

• A minimum requirement of a Bachelor's degree or a Master's degree in Computer Science, Data Science, or a related field
• A minimum 6+ years of experience in machine learning, with a strong understanding of the most recent ML research and technologies
• Extensive knowledge and experience with LLMs/Generative AI models
• Strong programming skills in Python (3+ years), SQL
• Experience with various ML frameworks and libraries, such as PyTorch, TensorFlow, and scikit-learn
• Familiarity with open-source LLM/CV models and platforms, e.g., Hugging Face, LangChain, etc.
• Competence with cloud platforms such as Microsoft Azure, Google Cloud, or AWS
• Familiarity with a cloud-based data warehousing platform like Snowflake and data analytics platforms such as Databricks
• Excellent problem-solving abilities
• Effective communication skills

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Additional Information