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hackajob is partnering with UnitedHealth Group to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
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; work closely with software engineers to assist in productionizing the ML models
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
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Qualifications - External
Required Qualifications:
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
Preferred Qualifications:
Experience in AI/ML in the healthcare and or Fintech sector
Experience working with cross-functional and distributed teams in a global and diverse environment
Experience in establishing AI/ML best practices, standards, and ethics
hackajob is partnering with UnitedHealth Group to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.