What are the responsibilities and job description for the Data Scientist with GEN AI position at Promantus, Inc?
Position: Data Scientist with GEN AI
Location: Plano, TX
Duration: Long Term Contract (Onsite)
Position Overview
- 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.
Salary : $45 - $55