We have partnered with our client in their search for a Python Developer 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. Skills Required • 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. PREFERRED QUALIFICATIONS: • 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. Education & Work Experience • Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent hands-on experience • 5+ years software development experience Title Location Client Industry Compensation Ref ID About Korn Ferry Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com