Python with Django - Python with Django L3 (5.1-7 years)
Core
Drive the industrialization of AI solutions, acting as the key bridge between Data Scientists and IT Production to translate business needs into production-ready ML pipelines.
Role type
Senior Machine Learning Engineer (MLOps)
Builds
High-performance AI services and scalable ML pipelines for financial services clients
Domain
Financial Services / AI & Machine Learning
Deliverable
production ML models
Required skills
Python (OOP, decorators, performance optimization), MLOps, Docker, Kubernetes, Jenkins, GitLab CI/CD, PostgreSQL, Denodo Platform, Airflow DAG Development, SQL, Bash scripting
Preferred skills
API design (Django), Distributed ML systems (Spark, Hadoop), Model compression/optimization, Data visualization (Kafka, Kibana, ELK, Grafana)
Responsibilities
Maintain seamless data sourcing for AI use cases, manage obsolescence and security in Python environments, design and maintain scalable DAGs for AI/ML pipelines, optimize performance through parallelism tuning and executor selection, connect Airflow to data platforms and ML tools
Seniority
Senior, hands-on IC