E-IT
AI/ML Engineer (Full-Time)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer in Austin, TX, with a contract duration of over 6 months and a pay rate of "unknown." Required skills include AI/ML, MLOps, GCP, Python, SQL, and extensive experience in deploying machine learning models.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 17, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Austin, Texas Metropolitan Area
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🧠 - Skills detailed
#Classification #Pandas #AI (Artificial Intelligence) #NLP (Natural Language Processing) #Python #GCP (Google Cloud Platform) #PySpark #Regression #SQL (Structured Query Language) #Deployment #Data Science #Data Pipeline #Spark (Apache Spark) #ML (Machine Learning)
Role description
Role: AI/ML Engineer
Location: Austin TX (100% Onsite)
Contract
Job Description:
• 10+ years’ experience as AI/ML Engineer
• Work and collaborate with data science and engineering teams to deploy and scale models and algorithms.
• Operationalize complex machine learning models into production including end to end deployment.
• Understand standard Machine Learning algorithms (Regression, Classification) & Natural Language processing concepts (sentiment generation, topic modeling, TFIDF) .
• Working knowledge of standard ML packages like scikit learn, vader sentiment, Pandas, PySpark.
• Design, Develop and maintain adaptable data pipelines to maintain use case specific data.
• Integrate ML use cases in business pipelines & work closely with upstream & downstream teams to ensure smooth handshake of information.
• Develop & maintain pipelines to generate & publish model performance metrics that can be utilized by Model owners for Model Risk Oversight's model review cadence.
• Support the operationalized models and develop runbooks for maintenance.
Skills: AI/ML, MLOps, GCP, Python, SQL and experience in SDLC projects
Role: AI/ML Engineer
Location: Austin TX (100% Onsite)
Contract
Job Description:
• 10+ years’ experience as AI/ML Engineer
• Work and collaborate with data science and engineering teams to deploy and scale models and algorithms.
• Operationalize complex machine learning models into production including end to end deployment.
• Understand standard Machine Learning algorithms (Regression, Classification) & Natural Language processing concepts (sentiment generation, topic modeling, TFIDF) .
• Working knowledge of standard ML packages like scikit learn, vader sentiment, Pandas, PySpark.
• Design, Develop and maintain adaptable data pipelines to maintain use case specific data.
• Integrate ML use cases in business pipelines & work closely with upstream & downstream teams to ensure smooth handshake of information.
• Develop & maintain pipelines to generate & publish model performance metrics that can be utilized by Model owners for Model Risk Oversight's model review cadence.
• Support the operationalized models and develop runbooks for maintenance.
Skills: AI/ML, MLOps, GCP, Python, SQL and experience in SDLC projects
