Aptino, Inc.

AI Expert

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Expert, remote in the US, with a contract length of 6-12 months. Requires expertise in machine learning, deep learning, and AI frameworks, along with proficiency in Python and cloud platforms. A degree in Computer Science or related field is essential.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 18, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Agile #Azure #Libraries #Security #Data Science #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Data Processing #Python #"ETL (Extract #Transform #Load)" #Cloud #Transformers #Scala #Deployment #PyTorch #Data Engineering #Computer Science #ML (Machine Learning) #Model Deployment #NLP (Natural Language Processing) #Datasets #TensorFlow #Deep Learning
Role description
Role Name: AI Expert Location: Remote - US Duration: 06-12 month Job Description: We are looking for an experienced AI Expert to design, develop, and implement advanced artificial intelligence solutions across our products and systems. The ideal candidate will have strong expertise in machine learning, deep learning, and modern AI frameworks, with the ability to translate business requirements into scalable AI-driven applications. Key Responsibilities: β€’ Develop, train, and optimize machine learning and deep learning models. β€’ Analyze complex datasets and build predictive or automated AI solutions. β€’ Design end-to-end AI pipelines including data processing, modeling, and deployment. β€’ Collaborate with cross-functional teams to identify AI opportunities and deliver solutions. β€’ Evaluate model performance and implement continuous improvements. β€’ Research emerging AI trends, tools, and technologies to enhance system capability. β€’ Ensure AI models adhere to security, accuracy, and ethical standards. β€’ Troubleshoot production issues and provide technical support for deployed models. Required Skills & Qualifications: β€’ Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field. β€’ Strong experience with Python and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. β€’ Solid understanding of machine learning algorithms, NLP, computer vision, or generative AI. β€’ Experience with cloud platforms (AWS, GCP, Azure) for AI/ML deployment. β€’ Familiarity with MLOps tools and model lifecycle management. β€’ Strong problem-solving and analytical skills. β€’ Excellent communication and collaboration abilities. Preferred Qualifications: β€’ Experience with LLMs, transformers, or generative AI models. β€’ Knowledge of data engineering and model deployment pipelines. β€’ Experience working in agile, fast-paced environments.