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Carelon

Integrates care journeys with digital tools.

AI Tech Lead 3

Natural Language Processing & LLMsUpdated on Nov 15
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Bachelor of Engineering or Bachelor of Technology in Computer Sciences, Information Technology, or Engineering.
  • 10 to 14 years of programming experience.
  • Advanced proficiency in Python and expertise in NumPy, Pandas, and scikit-learn, and in the PyTorch and TensorFlow deep learning frameworks.
  • Extensive experience with Hugging Face Transformers, LangChain, and prompt engineering techniques.
  • Familiarity with Go or Rust, and expertise in microservices, test-driven development, and concurrency processing.
  • Proficiency in vLLM, FastAPI, model quantization techniques, and vector database management.
  • Strong grasp of advanced cloud services including AWS, Google Cloud Platform, and Azure, and network security for machine learning systems.
  • Expertise developing chatbots, recommendation systems, and translation services, and optimizing large language models for performance and security.
  • Knowledge of SQL, machine learning frameworks including Hugging Face, TensorFlow, and PyTorch, and cloud platforms such as AWS or Google Cloud Platform.
  • Strong mathematical foundation in statistics, probability, linear algebra, and optimization.
  • Deep understanding of the machine learning and large language model development lifecycle, including fine-tuning and evaluation.
  • Expertise in feature engineering, embedding optimization, and dimensionality reduction.
  • Advanced knowledge of A/B testing, experimental design, and statistical hypothesis testing.
  • Experience with retrieval-augmented generation systems, vector databases, and semantic search implementation.
  • Proficiency in large language model optimization techniques, including quantization and knowledge distillation.
  • Understanding of MLOps practices for model deployment and monitoring.
  • Strong analytical thinking to solve complex machine learning challenges.
  • Ability to communicate technical findings to diverse audiences and translate business requirements into data science solutions.
  • Project management skills for coordinating machine learning experiments and deployments.
  • Ability to mentor and share knowledge with team members.

Responsibilities

  • Collaborate with cross-functional teams, including data scientists and product managers, to acquire, process, and manage data for AI and machine learning model integration and optimization.
  • Design and implement robust, scalable, enterprise-grade data pipelines to support AI and machine learning models.
  • Debug, optimize, and enhance machine learning models to improve quality and performance.
  • Design and build scalable large language model inference architectures, using GPU memory optimization techniques and model quantization for efficient deployment.
  • Apply prompt engineering and fine-tune large language models, focusing on semantic retrieval and chatbot development.
  • Research and implement large language model optimization techniques, such as quantization and knowledge distillation, to improve performance and reduce computational costs.
  • Collaborate with stakeholders to develop natural language processing solutions for text classification, sentiment analysis, and topic modeling.
  • Monitor advances in AI technologies and integrate new methodologies and frameworks to enhance AI engineering.
  • Develop specialized AI solutions in healthcare, applying domain-specific knowledge to task adaptation and deployment.

About the Company

Carelon

Integrates care journeys with digital tools.

Carelon builds a connected health system by offering integrated digital tools and shared data for all stakeholders in healthcare, from individuals to government agencies. It uses personalized, people-first care models and services, including virtual care and doorstep prescription delivery, supported by data analytics, research, and clinical insights to enable proven, value-based care across the care journey. Its products connect end-to-end experiences, simplify plan operations, and manage costs without compromising quality, aiming to make whole-person health easier, more affordable, and accessible no matter where someone is in their care journey. Carelon differentiates itself through its 150 years of combined experience, extensive data capabilities, flexible solutions, and collaborative partnerships that unite providers, payers, employers, and other partners toward shared health outcomes.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Indianapolis, IN
Founded
Not listed

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