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Software Engineering Senior Advisor - HIH - Evernorth
About the role
Software Engineering Senior Advisor - HIH - Evernorth is an AI/ML Engineer role focused on designing, developing, and deploying cutting‑edge AI and machine learning solutions. The position involves building AI/ML models with Python, PyTorch, TensorFlow, and large‑language‑model frameworks from OpenAI and Anthropic. Responsibilities include developing Retrieval‑Augmented Generation systems, creating scalable ML pipelines using Databricks, MLflow, and cloud‑native tools, and integrating AI capabilities into applications. The role requires strong proficiency in data preprocessing, feature engineering, and machine‑learning concepts, as well as experience with cloud‑based ML platforms such as AWS SageMaker. Collaboration with cross‑functional teams, experimentation, and continuous improvement of model performance are key. The position is hybrid, based in Hyderabad, India, and requires 10+ years of AI/ML experience.
What you’ll do
- Design and implement AI/ML models using various frameworks and libraries
- Work with large language models (LLMs) from providers like OpenAI and Anthropic
- Develop and optimize RAG (Retrieval-Augmented Generation) systems
- Build scalable ML pipelines using Databricks, MLflow, and cloud-native tools for model training, tracking, and deployment.
- Collaborate with cross-functional teams to integrate AI capabilities into our applications
- Conduct experiments and analyze results to improve model performance
- Stay updated with the latest advancements in AI/ML and propose innovative solutions
What you’ll bring
- 14 to 18 years of development experience
- Strong proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow)
- 10+ years of experience working with Artificial Intelligence, experienced working on LLM & latest AI tools.
- Familiarity with RAG systems and related technologies
- Strong understanding of machine learning concepts and algorithms
- Experience with cloud-based ML platforms (e.g., AWS SageMaker, Databricks)
- Proficiency in data preprocessing and feature engineering
Nice to have
- Advanced degree in Computer Science, AI, or a related field
- Experience with graph databases (e.g., Neo4j) and knowledge graphs
- Familiarity with MLOps practices and tools
- Experience with GPU acceleration and distributed computing
- Contributions to AI/ML open-source projects or research publications