Data Scientist

  • Cape Girardeau, MO
  • Posted 1 day ago | Updated 3 hours ago

Overview

On Site
BASED ON EXPERIENCE
Full Time
Contract - W2
Contract - Independent

Skills

MACHINE LEARNING
ML
ARTIFICIAL INTELLIGENCE

Job Details

Position: Data Scientist
Location: IrvingTX /Cape Girardeau, MO(Onsite) -3 Days/Week
Experience: 8+ Years
As a Data Scientist, We are looking for experienced AI/ML professional with expertise in cutting-edge architectures (Transformers, GANs, VAEs, Diffusion Models), LLM fine-tuning, NLP pipelines, GenAI validation frameworks, and multi-agent reasoning systems using LangChain, AutoGen, or CrewAI.
Responsibilities: -
Design and implement advanced AI architectures including Transformers, GANs, VAEs, and Diffusion Models for generative and predictive tasks.
Work with Large Language Models (LLMs) such as GPT, LLaMA, Claude, including fine-tuning and prompt engineering to optimize performance for specific use cases.
Develop and maintain NLP pipelines, focusing on tokenization, embeddings, attention mechanisms, and integration with vector databases for semantic search and retrieval.
Build robust validation frameworks for GenAI applications, defining and applying appropriate evaluation metrics and methodologies to ensure model reliability and accuracy.
Create multi-step reasoning agents using frameworks like LangChain, AutoGen, or CrewAI to enable complex task execution and decision-making.
Implement tool orchestration and memory management strategies to enhance agent capabilities and maintain context across interactions.
Collaborate cross-functionally with data scientists, engineers, and product teams to integrate AI solutions into scalable applications.
Educational Qualifications: -
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Mandatory skills:
Good understanding of architectures like Transformers, GANs, VAEs, and Diffusion Models.
Proficiency with LLMs (e.g., Open AI, GPT, LLaMA, Claude) and some experience with fine-tuning techniques preferred
Natural Language Processing (NLP) -Tokenization, embeddings, attention mechanism, vector databases
Expertise with building validation pipelines for AI and Gen AI application with good understanding of metrics and methods for evaluation
Building multi-step reasoning agents using frameworks like LangChain, AutoGen, or CrewAI.
Tool orchestration and memory management.
Thanks & Regards,

Bhupender Singh
XL Impex Inc dba
Atika Technologies
1 Clyde Road Suite 201
Somerset NJ 08873



LinkedIn URL:
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.