Sr Python AI/ML Engineer (NYC)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Python AI/ML Engineer in NYC, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include Python, Django, AWS, and AI/ML integration. Experience with data governance and compliance is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
760
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🗓️ - Date discovered
September 5, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Jenkins #AWS EC2 (Amazon Elastic Compute Cloud) #Python #Data Science #Monitoring #SNS (Simple Notification Service) #DevOps #NLP (Natural Language Processing) #Compliance #SQL (Structured Query Language) #Lambda (AWS Lambda) #React #Microservices #Cloud #EC2 #MLflow #S3 (Amazon Simple Storage Service) #PyTorch #Elasticsearch #SQS (Simple Queue Service) #REST (Representational State Transfer) #Django #Kubernetes #Angular #TensorFlow #AWS (Amazon Web Services) #SageMaker #Data Governance #Docker #ML (Machine Learning) #RDS (Amazon Relational Database Service) #AI (Artificial Intelligence)
Role description
We are looking for a Senior Software Engineer focused on extending our Python/Django REST microservices platform for a modern academic information system. In addition to core development, this engineer will integrate, deploy, and maintain machine-learning models (e.g. recommendation engines, predictive analytics, NLP interfaces) in AWS.
Key Technical Areas
• Core Stack: Python 3.x, Django REST Framework, SQL/RDS, Angular or React front-ends
• Cloud & DevOps: AWS (EC2, S3, Lambda, RDS, ElasticSearch, SQS/SNS, SageMaker), Docker/Kubernetes, Jenkins or CodePipeline
• AI/ML Integration: Collaborate with data scientists to productionize TensorFlow/PyTorch models, build MLOps pipelines (MLflow, Kubeflow), implement CI/CD for model retraining and monitoring
• Data & Compliance: Design data schemas and pipelines for training/inference, ensure FERPA-compliant data governance and privacy
We are looking for a Senior Software Engineer focused on extending our Python/Django REST microservices platform for a modern academic information system. In addition to core development, this engineer will integrate, deploy, and maintain machine-learning models (e.g. recommendation engines, predictive analytics, NLP interfaces) in AWS.
Key Technical Areas
• Core Stack: Python 3.x, Django REST Framework, SQL/RDS, Angular or React front-ends
• Cloud & DevOps: AWS (EC2, S3, Lambda, RDS, ElasticSearch, SQS/SNS, SageMaker), Docker/Kubernetes, Jenkins or CodePipeline
• AI/ML Integration: Collaborate with data scientists to productionize TensorFlow/PyTorch models, build MLOps pipelines (MLflow, Kubeflow), implement CI/CD for model retraining and monitoring
• Data & Compliance: Design data schemas and pipelines for training/inference, ensure FERPA-compliant data governance and privacy
