Senior Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer in Doral, FL, with a contract length of over 6 months and a pay rate of "unknown." Requires 9+ years of experience, proficiency in AI/ML frameworks, and an active Secret clearance.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
909.0909090909
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πŸ—“οΈ - Date discovered
September 19, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Yes
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πŸ“ - Location detailed
Florida, United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #TensorFlow #AWS (Amazon Web Services) #Python #SageMaker #SQL (Structured Query Language) #Java #Spark SQL #Azure Machine Learning #Spark (Apache Spark) #AWS SageMaker #Cloud #Libraries #Data Management #Azure #PyTorch #ML Ops (Machine Learning Operations) #Programming #DevOps #ML (Machine Learning) #Hadoop
Role description
Razor seeks a motivated, career and customer-oriented Senior AI & Machine Learning Engineer to join our federal government contracted team in Doral, FL. Responsibilities include but are not limited to: β€’ Manages and maintains the organization’s AI technologies. β€’ Overseeing the installation and configuration of the AI tool suite, while ensuring availability and other performance metrics are met. β€’ Collaborate with IT Teams and other stakeholders to identify and address operational issues. β€’ Develop troubleshooting plans to be executed by junior staff members. β€’ Strong understanding of artificial intelligence technologies, as well as hands-on experience managing AI tools. Minimum Qualifications: β€’ BA/BS degree or 4 additional years of experience may be exchanged in lieu of a degree. β€’ 9+ years of experience with 5+ years of position relevant experience. β€’ Experience in AI/ML engineering, with a proven track record of successfully deploying and managing AI solutions in production environments. β€’ Proficiency in AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). β€’ Experience with cloud-based AI platforms (e.g., AWS SageMaker, Google Cloud AI Platform, Azure Machine Learning). β€’ Experience with data management and processing tools (e.g., Hadoop, Spark, SQL). β€’ Proficiency in programming languages such as Python and Java. β€’ Experience with DevOps practices and tools (e.g., CI/CD, containerization). Desired Qualifications: β€’ Experience with machine learning operations (MLOps). β€’ Experience at a DoD Combatant Command (e.g., SOUTHCOM, NORTHCOM, CENTCOM, CYBERCOM, INDOPACOM, EUCOM, AFRICOM, STRATCOM, TRANSCOM, SOCOM, SPACECOM) or a component is desired. Clearance Requirements: β€’ Must have an active Secret clearance. Physical Requirements: β€’ Must be able to remain in a stationary position 50%. β€’ Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer. β€’ The person in this position frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.