Job Title: AI Engineer / Lead
Location: Chicago (3 Days/Week Onsite)
Experience: 6+ Years
Employment Type: Full-Time / Contract
Job Overview
We are seeking a highly skilled AI Engineer / Lead with strong expertise in LLMs (Large Language Models) and GCP to design, develop, and deploy scalable AI solutions. The ideal candidate will lead AI initiatives, work with cross-functional teams, and drive innovation in machine learning and generative AI applications.
Key Responsibilities
Location: Chicago (3 Days/Week Onsite)
Experience: 6+ Years
Employment Type: Full-Time / Contract
Job Overview
We are seeking a highly skilled AI Engineer / Lead with strong expertise in LLMs (Large Language Models) and GCP to design, develop, and deploy scalable AI solutions. The ideal candidate will lead AI initiatives, work with cross-functional teams, and drive innovation in machine learning and generative AI applications.
Key Responsibilities
- Design and develop AI/ML models with a focus on LLMs (Large Language Models)
- Build and deploy scalable solutions using Google Cloud Platform (GCP)
- Lead end-to-end AI solution development, from data ingestion to model deployment
- Optimize and fine-tune LLMs for performance and accuracy
- Develop APIs and microservices for AI-powered applications
- Collaborate with data scientists, engineers, and stakeholders to deliver business solutions
- Ensure best practices in model governance, security, and scalability
- Mentor junior engineers and provide technical leadership
- Strong experience with Python, Machine Learning, and Deep Learning
- Hands-on experience with LLMs (OpenAI, Hugging Face, etc.)
- Expertise in Google Cloud Platform services (Vertex AI, BigQuery, Cloud Functions, etc.)
- Experience with NLP, prompt engineering, and generative AI
- Knowledge of MLOps, CI/CD pipelines, and model deployment
- Experience with REST APIs and microservices architecture
- Experience leading AI/ML teams or projects
- Familiarity with vector databases (Pinecone, FAISS, etc.)
- Knowledge of data engineering and large-scale data processing
- Experience in enterprise AI implementations
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