DS with GEN AI (Location: Plano, TX )
Job Description:
Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.
DS/ML algorithms and model working knowledge - XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc.
LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.
Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar. LLM Fine-tuning experience
Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.
Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.
API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows.
Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
Hands-on experience in Python, Pyspark/Spark, NO-SQL (MongoDB), SQL- PostgreSQL, Redis, Databricks, Delta Lake, Azure Cloud
Experience productionizing AI/ML or LLM-powered workflows (using LangGraph, LangChain, CrewAI etc.) with a focus on reliability, reproducibility, and auditability
Strong understanding of LLMOps fundamentals, including prompt/model/config versioning and traceable run metadata.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: RTL155990
- Position Id: ef5fb3b4dd02f6ae5060315fd11cf8e0
- Posted 1 day ago