Python / Django AI / ML Developer - Remote

Senior Software Engineer Consultant (Python/Django)

Location : Remote

Job Type : Contract (20+ months)

Role Overview

The Senior Software Engineer will be focused on extending the Python/Django REST microservices platform for a modern high profile system. In addition to core development, the ideal candidate 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

KEY RESPONSIBILITIES

• Development & Architecture
• Implement and maintain Python/Django REST services and Angular/React front-ends.
• Design and optimize SQL database schemas; build data pipelines for ML training and inference.
• Integrate machine learning models (e.g., TensorFlow, PyTorch) into microservices for features like course recommendations, retention risk scoring, and automated data validation.
• Cloud & DevOps
• Build and manage AWS infrastructure: EC2, S3, Lambda, RDS, ElasticSearch, SQS/SNS, SageMaker (or equivalent).
• Extend CI/CD pipelines (Jenkins, AWS CodePipeline, Docker/Kubernetes) to support automated model retraining, testing, and deployment.
• Monitor system and model performance; implement logging, alerting, and cost-optimization best practices.
• Collaboration & Mentorship
• Partner with Data Science to translate business use-cases into ML workflows (data ingestion, feature engineering, model tuning).
• Review peers code and mentor junior developers on Python, Django, AWS services, and MLOps practices.
• Communicate complex technical and AI/ML concepts clearly to both technical and non-technical stakeholders.
• Standards & Compliance
• Enforce coding, security, and data-privacy standards (FERPA compliance) across development and deployment.
• Maintain documentation for codebases, ML pipelines, and operational runbooks.
• Participate in sprint planning, estimation, and technical road-mapping.

REQUIRED EXPERIENCE:

• Bachelor s degree in Computer Science, Engineering, Data Science, or equivalent hands-on experience.
• 5+ years software development experience, including:
• Python and Django (or similar frameworks), REST APIs, Angular/React (or similar).
• SQL and object-relational mapping; designing and tuning relational databases.
• AWS cloud services: EC2, S3, Lambda, RDS, ElasticSearch, SQS/SNS.
• Git, CI/CD pipelines (Jenkins, CodePipeline), containerization (Docker) and orchestration (Kubernetes).
• 1 2 years experience integrating or deploying machine learning models in production.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication, teamwork, and ability to manage shifting priorities.

DESIRED EXPERIENCE:

• Master s degree or higher in a technical field (Data Science, AI/ML, Computer Science).
• Prior work on Higher Education or Student Information Systems.
• Hands-on experience with MLOps frameworks (MLflow, Kubeflow) and cloud ML services (SageMaker, Vertex AI).
• Familiarity with NLP libraries (spaCy, Hugging Face Transformers) for chatbots or text analytics.
• Experience with data governance, privacy regulations, and ethical AI practices in educational contexts.

Thanks and regards,

Asha Krishna

Associate Director - Talent Partner - US & Canada

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