Senior Machine Learning Engineer - Not an Active Opening, Building Talent Pipeline
Core
Design and document machine learning solutions on AWS for customers, connecting business goals with feature design, model training, and inference.
Role type
Senior Machine Learning Engineer (Cloud/AWS)
Builds
Machine learning solutions on AWS for enterprise customers
Domain
Cloud services, Generative and Agentic AI, AWS
Deliverable
production ML models
Required skills
AWS ML Services/SageMaker, ML libraries (Keras, Tensorflow, PyTorch, Scikit-learn), MLOps tools (MLflow, Kubeflow, Airflow), Big data processing (Spark, Hadoop, streaming), Data processing (Python/Pandas, PySpark, Scala, SQL), Feature engineering, Hyperparameter tuning, Deep learning, IaC (CloudFormation, CDK, Terraform)
Preferred skills
Time series forecasting, Inferential statistics, Data visualization (ggplot, matplotlib, seaborn)
Responsibilities
Develop and implement ML models, MLOps, and analytics; Perform big data processing and preparation of training data; Participate in daily standup meetings and bi-weekly agile ceremonies with customers
Seniority
Senior, hands-on IC
