AI/ML Solutions Architect
4 days ago
About Us
We are a global organization that delivers care, aided by technology to help millions of people live healthier lives. Our mission is to make the health system work better for everyone.
We have a team of talented peers, comprehensive benefits and career development opportunities. We value innovation, collaboration and continuous learning.
Job Description
As a Data Science Leader, you will be responsible for driving end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity.
You will build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production. You will also perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value.
Key Responsibilities
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale and complexity.
- Build Machine Learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
- Perform hands-on analysis and modeling of healthcare data sets to develop insights that increase business value.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research and implement innovative machine learning approaches.
- Mentor and help recruit AI/ML scientists and machine learning engineers to the team.
- Present findings and insights to senior leadership and at internal venues.
- Be the thought leader in cutting-edge AI research and proactively pursue IP submissions.
Requirements
- PhD in AI, computer science, data science, applied math or related technical fields.
- 10+ years of industry/academic experience in machine learning or a related field.
- 5+ years of building models for business application experience.
- 5+ years leading technical teams.
- Advanced understanding of Deep Learning with applications in NLP and multimodal modeling.
- Proven solid Python programming skills and experience with deep learning frameworks such as PyTorch or TensorFlow.
- Experienced mathematical background, especially in optimization theory, stochastic algorithms, and/or numerical methods.
- Experience with state-of-the-art algorithms and topologies including, but not limited to: GNNs, GANs, Transformers, deep and wide, SSMs, LLMs among others.
- Proven in-depth knowledge in Generative AI technology and Large Language Models (LLM) with focus in LLM optimization.
About Location
Resident of California, Colorado, Connecticut, Hawaii, Nevada, New Jersey, New York, Maryland, Rhode Island, Washington, Washington, D.C. are eligible for this role.
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