JBS Technologies Inc
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a 6-month contract, offering a pay rate of "X". Requires 5+ years of Python experience, strong GenAI and clustering techniques, AWS proficiency, and experience with ticketing systems and APIs integration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 1, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#AWS EC2 (Amazon Elastic Compute Cloud) #S3 (Amazon Simple Storage Service) #Unsupervised Learning #AWS (Amazon Web Services) #Clustering #Anomaly Detection #SaaS (Software as a Service) #Supervised Learning #Data Architecture #ML (Machine Learning) #Data Pipeline #Lambda (AWS Lambda) #EC2 #Python
Role description
• MUST HAVE: Previous experience working with a ticketing system
• 5+ years experience with Python in production (data pipelines, ML models, APIs)
• Strong experience modern GenAI approaches (clustering, RAG, embeddings, semantic similarity) and LLM integration
• Strong background in clustering techniques and anomaly detection (unsupervised learning, pattern recognition in large-scale event data)
• Hands-on experience with AWS (EC2, S3, Kinesis, Lambda) and streaming data architectures
• Experience working with APIs and integrating systems (ideally across SaaS platforms and ITSM workflows like ServiceNow)
• MUST HAVE: Previous experience working with a ticketing system
• 5+ years experience with Python in production (data pipelines, ML models, APIs)
• Strong experience modern GenAI approaches (clustering, RAG, embeddings, semantic similarity) and LLM integration
• Strong background in clustering techniques and anomaly detection (unsupervised learning, pattern recognition in large-scale event data)
• Hands-on experience with AWS (EC2, S3, Kinesis, Lambda) and streaming data architectures
• Experience working with APIs and integrating systems (ideally across SaaS platforms and ITSM workflows like ServiceNow)
