Abacus Insights-posted 4 months ago
Full-time • Senior
101-250 employees

Abacus Insights is a mission-driven technology company focused on transforming the healthcare data industry, ultimately creating a more personalized patient experience, improving health outcomes, and lowering the overall cost of healthcare. Abacus Insights provides a flexible, efficient, and secure platform that organizes and exchanges healthcare data from various sources and formats, allowing our customers to uncover differentiated insights. In addition, our employees know that they play an active role in keeping our customers' data safe and are responsible for ensuring that our comprehensive policies and practices are met. With our deep expertise in cloud-enabled technologies and knowledge of the healthcare industry, we have built an innovative data integration and management platform that allows healthcare payers access to data that has been historically siloed and inaccessible. Through our platform, these healthcare organizations can ingest and manage all the data they need to transform their business by supporting their analytical, operational, and financial needs. Since our founding in 2017, Abacus has built a highly successful SaaS business, raising more than $81 Million from leading VC firms with deep expertise in the healthcare and technology industries. We are solving problems of massive scale and complexity in a sector that is not only ready for disruption. We're growing quickly and would love for you to be a part of it!

  • Help shape the direction of our applied AI areas and intelligence features in our products.
  • Drive the deployment of state-of-the-art AI models and systems that directly impacts on the capabilities and performance of Abacus’s products and services.
  • Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains.
  • Design and implement ML/AI pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation.
  • Work closely with cross-functional teams, including AI engineers, data engineers, and product teams, to deliver impactful AI solutions.
  • Build scalable, reusable backend systems to support GenAI products across the company.
  • Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model and GenAI system performance.
  • Drive critical projects related to AI and data engineering innovation.
  • Mentor development team members to ensure delivered solutions adhere to the software architecture strategy and coding standards.
  • Participate in software architectural discussions and influence decisions.
  • Identify people and process improvement strategies for Agile/Scrum teams.
  • Communicate organizational updates to ensure teams adhere to established policies and procedures.
  • Ensure projects are completed on time and according to quality standards.
  • Facilitate communication around architecture, design, and implementation objectives.
  • Minimum of 3 years of ML/AI engineering experience in high-velocity, high-growth companies.
  • Minimum of 3 years of experience as a software developer.
  • Minimum of 2 years of experience with Databricks, Mosaic AI Gateway and associated technologies.
  • Strong track record of working with language modeling technologies and GenAI.
  • Proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI architecture.
  • Ability to drive end-to-end model and system development.
  • Strong analytical and problem-solving skills.
  • Strong coding and software engineering skills.
  • Experience designing scalable, distributed systems for data processing applications.
  • Solid understanding of roles adjacent to software development.
  • Snowflake, FHIR, Healthcare Data exposure.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service