AI/ML Engineers with Strong Python
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with strong Python skills, offering a contract of unspecified length and a competitive pay rate. Requires 6+ years in Machine Learning, experience with Generative AI, cloud deployment, and proficiency in relevant libraries.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
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🗓️ - Date discovered
September 5, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#Computer Science #Datasets #Python #Data Science #Azure #Pandas #GCP (Google Cloud Platform) #Langchain #Matplotlib #Programming #NumPy #Cloud #Libraries #PyTorch #Visualization #TensorFlow #Statistics #AWS (Amazon Web Services) #ML (Machine Learning) #Tableau #Data Analysis #AI (Artificial Intelligence)
Role description
Qualifications
• Bachelor's or Master’s degree in computer science, Statistics, Data Science, or a related field.
• 6+ years of experience in Machine Learning and Data Science.
• Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms.
• Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs.
• Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP).
• Experience in building Asynchronous Python APIs.
• Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
• Proven experience in developing and deploying machine learning models in a production environment.
• Experience working with large datasets and performing data analysis.
• Previous experience in a similar role or industry is preferred.
• Excellent communication and collaboration skills.
• Strong problem-solving skills and analytical thinking
• Passion for learning and staying up-to-date with the latest advancements in AI field
Qualifications
• Bachelor's or Master’s degree in computer science, Statistics, Data Science, or a related field.
• 6+ years of experience in Machine Learning and Data Science.
• Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms.
• Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs.
• Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP).
• Experience in building Asynchronous Python APIs.
• Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions.
• Proven experience in developing and deploying machine learning models in a production environment.
• Experience working with large datasets and performing data analysis.
• Previous experience in a similar role or industry is preferred.
• Excellent communication and collaboration skills.
• Strong problem-solving skills and analytical thinking
• Passion for learning and staying up-to-date with the latest advancements in AI field
