Sr Python Machine Learning Engineer (NYC)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Python Machine Learning Engineer in NYC, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include Python, Django, AWS, and machine learning model integration. Experience with FERPA compliance is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
720
-
🗓️ - Date discovered
July 15, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Unknown
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
New York City Metropolitan Area
-
🧠 - Skills detailed
#AWS EC2 (Amazon Elastic Compute Cloud) #SageMaker #Monitoring #TensorFlow #REST (Representational State Transfer) #Elasticsearch #AI (Artificial Intelligence) #SQL (Structured Query Language) #S3 (Amazon Simple Storage Service) #Microservices #Docker #MLflow #Data Science #PyTorch #Angular #SQS (Simple Queue Service) #Compliance #React #DevOps #EC2 #Jenkins #Data Governance #Django #Python #AWS (Amazon Web Services) #SNS (Simple Notification Service) #ML (Machine Learning) #Kubernetes #NLP (Natural Language Processing) #RDS (Amazon Relational Database Service) #Cloud #Lambda (AWS Lambda)
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
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
