Overview
Remote
Depends on Experience
Full Time
No Travel Required
Unable to Provide Sponsorship
Skills
Artificial Intelligence
Generative Artificial Intelligence (AI)
Health Care
Large Language Models (LLMs)
Presentations
Solution Architecture
Customer Engagement
Job Details
Key Responsibilities:
- Customer engagement: Able to connect with customers to understand business need, drive proposal presentation and win the same for Client.
- Solution Architecture: Understand and drive high level solutioning for AI systems, including data preprocessing data pipelines, model training, deployment, and integration with enterprise applications.
- Generative AI & LLMs: Architect high level of solutions using Large Language Models (LLMs), multi-modal AI, and Retrieval-Augmented Generation (RAG).
- Performance Optimization: Optimize AI models for speed, scalability, and cost efficiency using frameworks like DeepSpeed, PyTorch Lightning, and Hugging Face Accelerate.
- Agentic AI: Drive autonomous AI agents leveraging frameworks like AutoGen, LangGraph, and Declarative Copilots.
- Collaboration: Work with hyperscalers (AWS, Azure, Google Cloud Platform, IBM) to scale solutions from POC to production.
- Domain Expertise: Deliver AI solutions tailored for healthcare domain. — This is key
Required Skills:
(Must Have):
- Programming: Python (expert), OOP, Data Structures & Algorithms
- Design Patterns and Software Architecture
- Python Libraries: NumPy, SciPy, Pandas, Matplotlib
- AI Frameworks: PyTorch (preferred), TensorFlow, Scikit-learn
- ML/DL fundamentals
- Microservices, Containers (Docker), basic Kubernetes
- Tools: Jupyter Notebook, GitHub, GitHub Copilot, JIRA, CI/CD, DevOps
- Strong problem-solving and debugging skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.