Gen AI Engineer + Data Scientist

Gen AI Engineer + Data Scientist Zenith Algorithms Plano, TX Job Details Full-time | Contract $40 - $50 an hour 15 hours ago Qualifications TensorFlow Pandas Machine learning libraries AI Machine learning frameworks

Full Job Description Location:

Plano.

TX Work Mode :

Onsite Mode of Interview :

F2

F Max Rate :

$50 per

Hr Duration:

1 year with potential extension.

Interviews:

Asap Candidate Job Description DS with GEN AI 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.

Job Types:

Full-time, Contract Pay:

$40.00 - $50.00 per hour

Work Location:

In person