Senior Generative AI Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Provide solutions that assist clients in identifying payment integrity challenges, minimizing healthcare process expenses, or enhancing healthcare outcomes.

• Collaborate with Research and Development, Operations, and product management stakeholders to evaluate the value and risks associated with machine learning and AI applications.

• Create exploratory data analysis methods to validate hypotheses pertaining to AI/ML applications.

• Record methodologies, thought processes, and outcomes using standardized approaches for collaboration.

• Prepare final trained models and validation test datasets for quality assurance.

• Partner with production operations to implement models and aid in performance monitoring.

• Work in conjunction with other data science teams and assist with peer projects.

• Engage in knowledge-sharing sessions.

• Take part in design sessions to enhance Cotiviti’s machine learning platform.

• Deliver comprehensive value-based solutions, encompassing data pipelines, model development, and end-user applications.

• Fulfill annual performance review and goal-setting responsibilities.

• Undertake special projects and other assigned tasks.

⛳️ Requirements

• Advanced degree in a quantitative field such as Computer Science/Engineering, Statistics, or Operations Research, with a focus on Advanced Statistics, Machine Learning, and AI.

• Proficiency in natural language processing techniques, including transformers, fine-tuning large language models (LLMs), and measuring/benchmarking and deploying LLMs.

• Familiarity with tools such as HuggingFace, Langchain, LLAMA/Mistral, OpenAI, and vector databases.

• Over 3 years of practical experience in data science/AI.

• Experience with libraries and frameworks like pandas, scikit-learn, keras, nltk, TensorFlow/PyTorch, and GPU.

• Proven track record in building production-grade machine learning deployments on AWS, Azure, or GCP.

• Experience handling Apache Spark and large-scale distributed datasets.

• Capability to work independently as well as collaboratively within a team.

• Competence in managing confidential information appropriately.

• Skill in managing multiple tasks, prioritizing effectively, and meeting deadlines.

• Ability to operate within a matrixed organization.

• High level of proficiency in necessary skills and competencies.

• Willingness to collaborate with global teams and geographically dispersed teams based in the US.

• Access to high-speed internet and suitable office setup and maintenance.

• A secure and dedicated workspace.

• Capability to perform job responsibilities with or without reasonable accommodation.

🏝️ Benefits

• Medical insurance

• Dental insurance

• Vision insurance

• Disability insurance

• Life insurance coverage

• 401(k) savings plan

• Paid family leave

• 9 paid holidays per year

• 17-27 days of Paid Time Off (PTO) annually, depending on specific level and length of service

• Remote work options

• Virtual interview process

• High-speed internet access/connectivity and office setup and maintenance provided by the team member