Senior Machine Learning Engineer with GenAI Experience

Compunnel Inc. • United State
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AI Summary

We are seeking a Senior Machine Learning Engineer with 8-10 years of experience in GenAI solutions, Large Language Models, and Python API development. The ideal candidate will have expertise in prompt engineering, LangGraph, LangChain, LlamaIndex, and AWS. This is a long-term opportunity with a competitive salary and benefits.

Key Highlights
GenAI solutions experience
Large Language Models expertise
Python API development
Key Responsibilities
Design and develop machine learning and deep learning systems using ML algorithms/frameworks
Evaluate the LLM generated contents
Work with data to create models and perform statistical analysis
Technical Skills Required
Python Java LangGraph LangChain LlamaIndex AWS FastAPI Flask Sagemaker Snowflake RDS EC2 EKS
Benefits & Perks
Competitive salary
Benefits
Hybrid work arrangement

Job Description


Job Title: Machine Learning Engineer with GenAI - W2 only - We can provide sponsorship as well.

Duration: Long Term

Location: Westlake, TX - Hybrid


MUST HAVE:

8-10 years of experience, Python API, LLM, prompt engineering Experience with working on Gen AI solutions with Large Language Models, LangGraph, LangChain, LlamaIndex, and experience developing Python based APIs, AWS.


The Expertise and Skills You Bring

  • Solid 6+ years hands on development as Machine Learning Engineer.
  • Strong programming skills in Python and Java.
  • Experience with working on Gen AI solutions with Large Language Models, LangGraph, LangChain, LlamaIndex, Prompt Engineering and Fine tuning.
  • Solid experience with developing python-based APIs needed (FastAPI / Flask).
  • Design and develop machine learning and deep learning systems using ML (Machine Learning) algorithms / frameworks.
  • Evaluate the LLM generated contents
  • Demonstrated work experience using AWS services: Deploy the models in Sagemaker, cloud-based data platforms like Snowflake or RDS for analytics data hosting. EC2/EKS compute set-up.
  • Work with data to create models and perform statistical analysis, train and retrain models to optimize performance.
  • Run machine learning tests and experiments.
  • Bachelor’s Degree or equivalent experience.


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