Machine Learning Engineer

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Decision-making
User Experience
FOCUS
Collaboration
Research
Scalability
Python
Flask
Django
Large Language Models (LLMs)
LangChain
Autogen
Machine Learning (ML)
TensorFlow
PyTorch
scikit-learn
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Docker
Kubernetes
Problem Solving
Conflict Resolution
Artificial Intelligence
Regulatory Compliance
Cloud Computing
Vector Databases
Machine Learning Operations (ML Ops)

Job Details

Hiring: W2 Candidates Only

Visa: Open to any visa type with valid work authorization in the USA

Level: Mid to Lead positions

Job Description:

We are seeking a highly skilled AI Engineer with strong expertise in Agent Development, Large Language Models (LLMs), and Python. The ideal candidate will design, build, and deploy intelligent AI/ML solutions that enhance automation, decision-making, and user experience.

Key Responsibilities:

Design and develop AI/ML applications with a focus on agent-based systems and LLM integration.

Build, fine-tune, and optimize machine learning models for production environments.

Develop robust, scalable APIs and services in Python for AI-powered applications.

Collaborate with cross-functional teams (data engineers, software developers, and product managers) to deliver end-to-end AI solutions.

Research and evaluate emerging AI/ML frameworks, tools, and methodologies.

Ensure security, scalability, and performance of deployed models.

Required Skills & Qualifications:

Strong programming experience in Python (FastAPI, Flask, or Django a plus).

Hands-on experience with Large Language Models (LLMs) such as OpenAI, Hugging Face, or similar.

Knowledge of agent development frameworks (LangChain, AutoGen, or equivalent).

Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure) and containerization (Docker/Kubernetes).

Strong problem-solving skills and ability to work independently or in a team environment.

Nice to Have:

Experience in AI security and compliance in cloud-native environments.

Familiarity with vector databases (Pinecone, Weaviate, FAISS).

Exposure to MLOps tools and practices.

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.