HiringCafe
Posted 2d ago

Agentic AI Engineer

@ Tiger Analytics
View All Jobs
United States
RemoteFull Time
Responsibilities:deploy solutions, build pipelines, write code
Requirements Summary:Python proficiency; agentic AI frameworks; ML frameworks; NLP; cloud; data engineering; Git; Docker; data warehousing; APIs; Agile experience; 8+ years in AI/ML and data engineering.
Technical Tools Mentioned:Python, LangChain, LangGraph, CrewAI, Semantic Kernel, OpenAI, TensorFlow, PyTorch, Scikit-learn, AutoML, AWS, SageMaker, EC2, S3, GCP, Data Engineering, GitHub, VS Code, Jupyter Notebook, Docker, Snowflake, Oracle, APIs, Data Science Practices, Agile
Save
Mark Applied
Hide Job
Report & Hide
Job Description

Tiger Analytics is looking for experienced Agentic AI Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

  • Providing solutions for the deployment, execution, validation, monitoring, and improvement of MLE solutions
  • Creating Scalable Machine Learning systems .
  • Building reusable production data pipelines for implemented machine learning models
  • Writing production-quality code and libraries that can be packaged as containers, installed and deployed

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.