AI Engineer, Generative AI & Machine Learning
Overview
Agentic AI and Generative AI meet production engineering at Whiztek Corp. You own AI-driven applications in Schaumburg, IL, hybrid 3 days onsite. Collaborate with data scientists and platform engineers to migrate legacy models to LangChain and PyTorch. This role drives real product impact from day one.
What You'll Do7
- 1Build and refine RAG pipelines with LangChain and FAISS to boost answer accuracy by 20%.
- 2Design and deploy LLM-based agents using OpenAI APIs and Anthropic Claude for customer support automation.
- 3Migrate existing scikit-learn and TensorFlow models to PyTorch for unified training and serving.
- 4Implement MLOps workflows with Docker, Kubernetes, and MLflow to cut model deployment time by half.
- 5Tune prompts and fine-tune large language models on domain-specific data to meet business KPIs.
- 6Collaborate with backend engineers to expose models via FastAPI endpoints with robust authentication.
- 7Drive real-time model monitoring and drift detection using Prometheus and custom dashboards.
Requirements6
- 13+ years building AI/ML solutions in Python with frameworks like TensorFlow or PyTorch.
- 21+ years hands-on with Generative AI including RAG, LangChain, and LLM APIs.
- 3Solid expertise in Natural Language Processing and vector databases like Pinecone.
- 4Experience deploying models in Docker and Kubernetes on AWS or Azure.
- 5Proficiency with SQL and data pipelines using Pandas and Spark.
- 6Bachelor's in Computer Science, AI, or related field; advanced degree is a plus.
Salary Insight
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