Yochana

Contract Role: AI Engineer (Agentic AI Experience) at St Louis, MO (Remote)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a long-term contract for an AI Engineer with Agentic AI experience, based remotely in St. Louis, MO. Requires a Master's/Ph.D. or Bachelor's with 5+ years of experience, proficiency in Python or R, and expertise in machine learning frameworks.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
May 6, 2026
πŸ•’ - Duration
Unknown
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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
St Louis, MO
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Hadoop #Agile #Azure #Data Science #ML (Machine Learning) #Computer Science #PyTorch #Big Data #TensorFlow #NLP (Natural Language Processing) #Azure DevOps #Datasets #Spark (Apache Spark) #DevOps #Python #AWS (Amazon Web Services) #Scrum #R #Programming #Cloud
Role description
AI Engineer (Agentic AI Experience) St Louis, MO (Remote) Long Term Contract Must Have- β€’ Applied Agentic AI engineering experience: evidence of building Agentic workflows - ideally delivered into a real project- Please share for all submissions. β€’ Modern multi-agent architecture experience: β€’ Strong understanding of agentic frameworks/tools: β€’ Architecture & design contribution capability Job Description: β€’ Master’s or Ph.D. degree in Computer Science, Information Technology, Data Science, Artificial Intelligence or a related field or Bachelor’s with minimum 5 years experience. β€’ Proven experience as an AI Engineer, Machine Learning Engineer, or similar role. β€’ Experience in developing and deploying machine learning models and AI systems. β€’ Proficiency in programming languages such as Python or R β€’ Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). β€’ Experience with natural language processing (NLP), computer vision, or other AI techniques. β€’ Familiarity with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, Google Cloud) β€’ Strong analytical skills and the ability to work with complex datasets. β€’ Excellent problem-solving skills with a focus on developing innovative AI solutions. β€’ Excellent verbal and written communication skills. β€’ Ability to work collaboratively in a cross-functional team environment. β€’ Strong organizational skills and the ability to manage multiple AI projects simultaneously. β€’ Experience with Agile methodologies and tools (Azure DevOps, Scrum). Preferred: β€’ Relevant certifications in AI, machine learning, or data science (e.g., AWS Certified Cloud / AI practitioner, Azure Fundamentals)