Resource Logistics, Inc.

Compensation

Full Description

Job Title: Senior AI Solution Clienthitect Location: Remote Experience: 15+ years in software engineering, AI/ML solutions, Cloud modernization with strong presentation and customer engagement skills. Role Overview: A s a Senior AI Solution consultant, you will lead the design and implementation of cutting-edge AI solutions across diverse domains. You will collaborate with cross-functional teams to Clienthitect scalable, secure, and high-performance AI systems leveraging advanced machine learning, deep learning, and generative AI technologies. Able to work closely with customer to engage and win large AI related business across multiple LOBs. Key Responsibilities: " Customer engagement: Able to connect with customers to understand business need, drive proposal presentation and win the same for Client " Solution Clienthitecture: 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: Clienthitect 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 ,, and Hugging Face Accelerate. " Agentic AI: Drive autonomous AI agents leveraging frameworks like AutoGen, LangGraph, and Declarative Copilots. " Collaboration: Work with hyperscalers (AWS, Clienture, GCP, 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 Clienthitecture " 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 Advanced AI Skills: " LLM/AI Model Training: DeepSpeed, PyTorch FSDP, Hugging Face PEFT, LoRA/QLoRA " Evaluation Metrics for LLMs " Distributed Training: Ray (Core, Data, Train, Tune) " PyTorch Ecosystem: PyTorch ,, Hugging Face Transformers, Accelerate " Additional Frameworks: TensorFlow, Keras, XGBoost " Agentic AI Frameworks: AutoGen, LangGraph, Declarative Copilots Specialties: " AI System Design " Nvidia CUDA/HPC, Client OpenVINO/OneAPI " AI Model Performance Optimization " Responsible AI Cloud AI Platforms: " AWS Bedrock, GCP Vertex AI, Clienture OpenAI, IBM Watsonx Top AI Models: " Llama, Gemini, GPT, Claude