Remote
Senior
Full Time
Posted January 02, 2026
Tech Stack
deepspeed
pytorch
hugging-face
langgraph
amazon-web-services
microsoft-azure
google-cloud-platform
python
numpy
scipy
pandas
matplotlib
tensorflow
scikit-learn
docker
kubernetes
jupyter
github
gitHub-copilot
jira
appcast
Job Description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Talent Groups, is seeking the following. Apply via Dice today!
**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