Data Scientist/ AI Engineer

Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and Predictive AI models (regression, classification, clustering). Design and integrate AI applications using REST APIs, authentication mechanisms, JSON services, and cloud-based architectures. Build and support AI agents, autonomous systems, and agentic workflows.

Deploy, monitor, and optimize AI models in production using MLOps practices. Design and maintain data pipelines, data lakes, and data warehouses. Monitor model performance, troubleshoot issues, and manage data/model drift.

Collaborate with business and technical teams to align AI solutions with organizational objectives. Create reusable assets, demos, and proof-of-concepts to support innovation and business development.

A hands-on AI professional with strong expertise in Generative AI, Machine Learning, Python, Cloud Technologies, APIs, MLOps, Data Engineering, and AI Agents, capable of building and scaling enterprise-grade AI solutions from development to production. Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.

3-5 years of experience in AI, Machine Learning, Data Science, or Application Development. Experience with production AI deployments, MLOps, model monitoring, and cloud platforms.

GPT, Claude LLM, Stable Diffusion LangChain TensorFlow PyTorch Scikit-learn RAG (Retrieval-Augmented Generation) AI Agents & Agentic Workflows API Development REST APIs JSON HTTP Requests Authentication & Tokens Error Handling & Debugging

The base compensation range for this role in the posted location is $90,000- $160,000