EPITEC

AI/ML Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with a contract length of "unknown" and a pay rate of "unknown." Key requirements include 5+ years of AI experience, a Bachelor's degree in a related field, and proficiency in Python, GCP, and Azure.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
600
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πŸ—“οΈ - Date
October 25, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Dearborn, MI
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🧠 - Skills detailed
#SQL (Structured Query Language) #Azure #GCP (Google Cloud Platform) #Cloud #AI (Artificial Intelligence) #Deep Learning #Documentation #NLP (Natural Language Processing) #ML (Machine Learning) #Python #Computer Science #Datasets #Data Science
Role description
AI Developer / Engineer This position focuses on building smart programs and tools using Artificial Intelligence (AI) to help automate tasks, analyze data, and solve complex problems. The work involves using advanced AI techniques like deep learning, generative AI, natural language processing (NLP), image recognition, and virtual assistants. What You’ll Be Doing β€’ Develop AI solutions to meet business needsβ€”like making predictions, finding patterns, interpreting images or sound, and automating processes. β€’ Experiment with large datasets to turn raw data into useful insights. β€’ Use cutting-edge AI tools like LangGraph, RAG, NLP-to-SQL, and more. β€’ Create and improve AI models to make them faster, smarter, and more accurate. β€’ Build smart applications that integrate with existing software systems. β€’ Document processes and collaborate with other developers and data scientists. What’s Required β€’ Experience: 5+ years in AI or software development. β€’ Education: Bachelor’s degree (preferably in Computer Science, Engineering, or related field). β€’ Skills: β€’ Strong background in AI and machine learning. β€’ Familiarity with tools like Python, Google Cloud Platform, Azure. β€’ Experience with software development lifecycle and documentation. β€’ Knowledge of MLOps and integrating AI into software systems.