Candidates should have a strong background in machine learning and engineering, with experience in managing engineering teams. A proven track record in deploying machine learning models in production environments is essential. Familiarity with large language models (LLMs) and experience in developing infrastructure for model development are required.
Candidates should have a PhD in Computer Science, Machine Learning, or a related field, along with extensive experience in machine learning research and model development. Proficiency in developing and fine-tuning advanced language models, particularly with architectures like Llama, is essential. Strong collaboration skills to work with diverse teams of researchers, engineers, and healthcare professionals are also required.
Candidates should possess a Bachelor’s degree in a related field, along with a minimum of 7 years of experience in technical program management, particularly within a SaaS environment. Strong leadership and communication skills are essential, and experience with agile methodologies is highly preferred.
Candidates should possess a Master's degree in Computer Science, Statistics, or a related field, and have at least 5 years of experience in machine learning engineering. Strong experience with large datasets, particularly in the healthcare domain, is required, along with proficiency in programming languages such as Python and experience with machine learning frameworks like TensorFlow or PyTorch. Familiarity with cloud computing platforms like AWS or GCP is also preferred.
Candidates should possess a Bachelor’s degree in Computer Science or a related field, and have at least 7 years of experience in infrastructure engineering, with a strong focus on cloud environments. Experience with Kubernetes, Terraform, and CI/CD pipelines is essential, along with a solid understanding of DevOps principles and automation tools.
Candidates should possess a Bachelor’s degree in Computer Science or Software Engineering, along with a minimum of 3 years of experience in software engineering or data engineering. Proficiency in Python and SQL is required, alongside experience with cloud computing platforms, particularly AWS. Demonstrated knowledge of software development fundamentals and the software development lifecycle is essential.
The job requires a Bachelor's degree in Computer Science or a related field, along with 3+ years of experience in analytics, BI engineering, Data Engineering, or a similar role. Strong professional experience in SQL and proficiency with BI tooling such as Tableau, Looker, Quicksight, or SuperSet are essential. Experience building dashboards that meet business needs and effectively communicating with both technical and non-technical stakeholders is also needed. A delivery-focused mindset and pass…
Candidates must possess a Bachelor's degree and have over 5 years of experience in consultative enterprise sales. A proven track record of selling to executive-level healthcare providers, such as hospitals and health systems, is essential. The role requires dynamic presentation skills, the ability to understand customer needs and develop solutions, excellent writing, critical thinking, and negotiation skills, and the capacity to travel domestically up to 60%. Prior experience in health system re…