Machine Learning Engineer Senior fullstack AWS
Core
Conception, development, and implementation of scalable machine learning and Generative AI solutions on AWS to solve complex business problems.
Role type
Senior Machine Learning Engineer (Fullstack AWS)
Builds
Scalable ML models, GenAI applications, and integrated data pipelines
Domain
Cloud Computing (AWS), Machine Learning, Generative AI, Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, TensorFlow, PyTorch, Scikit-learn, AWS SageMaker, AWS Lambda, AWS Glue, AWS Redshift, AWS EMR, Spark, Pandas, LLM fine-tuning, prompt engineering, MLOps (deployment, monitoring, versioning), ETL, data pipeline optimization
Preferred skills
AWS Certified Machine Learning – Specialty, AWS Certified Solutions Architect, Data Science and AI certifications
Technologies
AWS (S3, EC2, Lambda, SageMaker, Glue, Redshift, EMR), TensorFlow, PyTorch, Scikit-learn, Spark, Pandas, GPT, Claude, LLaMA
Responsibilities
Develop and operationalize scalable machine learning models; implement GenAI solutions for automation and content generation; architect data and model pipelines in AWS; lead data science projects and guide teams
Seniority
Senior, hands-on IC with technical leadership
