Senior AI/ML Engineer

Remote • Posted 2 hours ago • Updated 2 hours ago
Contract W2
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Microsoft Azure
  • Good Clinical Practice
  • Data Processing
  • Kubernetes
  • LangChain
  • Deep Learning
  • Docker
  • Prompt Engineering
  • Python
  • Scalability
  • Generative Artificial Intelligence (AI)
  • Google Cloud Platform
  • Machine Learning (ML)
  • Conflict Resolution
  • Machine Learning Operations (ML Ops)
  • Continuous Integration
  • Continuous Delivery
  • Cloud Computing
  • Artificial Intelligence
  • Amazon Web Services

Summary

Job Description: Senior AI/ML Engineer

Experience: 10+ Years
Location: New York
Job Type: W2

Role Overview

We are looking for an experienced AI/ML Engineer to design, develop, and implement machine learning and AI-based solutions. The ideal candidate should have strong programming skills and hands-on experience building and deploying AI/ML models.

Responsibilities

  • Design, develop, train, and deploy machine learning models.

  • Build AI-powered applications and intelligent solutions.

  • Work with large datasets for data processing and model training.

  • Develop and implement Generative AI and LLM-based solutions.

  • Optimize model performance, accuracy, and scalability.

  • Collaborate with data engineers, developers, and business teams.

  • Monitor deployed models and improve their performance.

Required Skills

  • 10+ years of experience in software development, AI/ML, or related fields.

  • Strong programming experience in Python.

  • Hands-on experience with Machine Learning and Deep Learning.

  • Experience with TensorFlow, PyTorch, or Scikit-learn.

  • Knowledge of NLP, neural networks, and data modeling.

  • Experience with Generative AI, LLMs, and prompt engineering.

  • Familiarity with LangChain, RAG, and vector databases.

  • Experience with REST APIs, cloud platforms (AWS, Azure, or Google Cloud Platform), and model deployment.

  • Knowledge of Docker, Kubernetes, and CI/CD is a plus.

Preferred Qualifications

  • Experience building and deploying production-level AI/ML solutions.

  • Knowledge of MLOps and model monitoring tools.

  • Strong problem-solving and communication skills.

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.
  • Dice Id: 10477291
  • Position Id: 9138016
  • Posted 2 hours ago
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