Data scientist + Gen AI for L4/L5/L6

Overview

Full Time
Accepts corp to corp applications
Contract - W2
Contract - Contract/FTE

Skills

data science
Gen AI

Job Details

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Data scientist + Gen AI for L4/L5/L6 in USA. Below is the detailed job description.

Title: Data scientist + Gen AI for L4/L5/L6

Location: Remote with travel within USA

Job Description:

Data Science + Gen AI Lead/Architect: ML Engineering. Model Evaluation, Feedback Loops, Text@SQL AI Orchestration, VectorDB, LLM Integrations, Embedding/Chunking Strategies, Prompt Eng in Production

-Minimum 7+ years of Data Science experience

-Minimum 1 +year Gen AI experience

-Experience in retail

-Experience in Google Gen AI stack preferred.

Job Overview:

We are seeking a skilled Data Science + Gen AI Lead/Architect to join our dynamic team. This role focuses on integrating AI models into production, optimizing machine learning workflows, and creating scalable AI-driven systems. The ideal candidate will have strong experience with Machine Learning Engineering, model evaluation techniques, feedback loop creation, and integrating advanced technologies such as Large Language Models (LLMs).

The AI Engineer will also work on designing and implementing AI orchestration pipelines, with a special emphasis on prompt engineering, vector databases, and embedding strategies for efficient data handling and processing.

Key Responsibilities:

  • Machine Learning Engineering:
    • Develop, train, and deploy ML models, ensuring they are optimized for production environments.
    • Create and maintain automated feedback loops to enhance model accuracy and performance.
    • Implement ML pipelines for continuous evaluation and refinement of models in production.
  • AI Orchestration & Integration:
    • Integrate Large Language Models (LLMs) into business applications.
    • Build AI orchestration systems to manage the end-to-end lifecycle of AI models, including deployment and scaling.
    • Work with Vector Databases (VectorDB) to store and query high-dimensional data for AI applications.
  • Model Evaluation & Feedback Loops:
    • Set up evaluation metrics and processes to assess model performance over time.
    • Create feedback loops using real-world data to improve model reliability and accuracy.
  • Text-to-SQL & Generative AI-driven Solutions:
    • Develop GenAI-driven Text-to-SQL solutions to automate database queries based on natural language input.
    • Optimize GenAI workflows for database interactions and information retrieval.
  • Embedding/Chunking & Prompt Engineering:
    • Design and implement embedding and chunking strategies for scalable data processing.
    • Utilize prompt engineering techniques to fine-tune the performance of AI models in production environments.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field.
  • Proven experience in building, deploying, and maintaining ML models in production environments.
  • Proficiency in programming languages like Python, and frameworks such as TensorFlow, PyTorch, or similar.
  • Familiarity with LLMs, VectorDB, embedding/chunking strategies, and AI orchestration tools.
  • Strong understanding of model evaluation techniques and feedback loop systems.
  • Hands-on experience with Text-to-SQL and prompt engineering methodologies.
  • Knowledge of cloud platforms (AWS) and containerization tools (Docker, Kubernetes).

LinkedIn Search Keywords

  • AI Engineer
  • Machine Learning Engineer
  • ML Model Deployment
  • LLM Integration
  • Text-to-SQL Engineer
  • AI Orchestration
  • Vector Databases (VectorDB)
  • AI Feedback Loops
  • Prompt Engineering
  • Embedding Strategies
  • AI Model Evaluation
  • ML Pipeline Engineer
  • Large Language Models (LLMs)
  • AI Production Systems
  • MLOps Engineer
  • AI Solutions Architect
  • Chunking Strategies in AI
  • AI Automation Engineer
  • AI/ML Cloud Architect
  • AI Data Processing Engineer

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.