AI/ML Engineer 10+Exp

Ventechsoft Inc

Charlotte, United States of America

10 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Charlotte, United States of America

API

Artificial Intelligence

Encodings

Computer Programming

Python

TensorFlow

Systems Integration

Data Logging

Google Cloud Platform

Cloud Platform System

PyTorch

Large Language Models

Multi-Agent Systems

State Machines

Generative AI

AI Platforms

Scikit Learn

HuggingFace

Machine Learning Operations

REST

Splunk

Gen AI: Deep understanding of generative AI models, LLMs, and their application in conversational interfaces. Experience with fine-tuning or adapting models for specific tasks.
LangGraph: Expertise in building agentic systems and state machines using LangGraph. Understanding of agent orchestration, managing conversational flow, and integrating various tools/models.
Python: Strong proficiency in Python, including experience with relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face).
RAG Implementation: Experience in designing and implementing Retrieval Augmented Generation systems, including vector databases, embedding techniques, and efficient retrieval strategies.
Cloud Platform (Google Cloud): Experience deploying and managing AI/ML workloads on Google Cloud Platform (Google Cloud Platform) has added advantage. Familiarity with relevant services like Vertex AI, Cloud Functions, Cloud Run, or GKE for model deployment.
Async Programming: Have understanding or ability to write efficient asynchronous code for handling potentially long-running AI model calls and external API interactions.
REST: Understanding of RESTful principles for integrating AI services with other parts of the system.
Logging: Experience with implementing robust logging for monitoring AI model performance, identifying issues, and tracking usage. Familiarity with tools like Splunk is a plus