Machine Learning Engineer Senior fullstack AWS - SP
Core
Design, develop, and operationalize scalable machine learning and generative AI solutions on AWS to solve complex business problems.
Role type
Senior Machine Learning Engineer (Fullstack AWS)
Builds
Production ML models, GenAI applications, and data pipelines for prediction, behavior analysis, and process automation.
Domain
Cloud Computing (AWS) and Artificial Intelligence
Deliverable
production ML models
Required skills
Python, SQL, TensorFlow, PyTorch, Scikit-learn, AWS SageMaker, AWS Lambda, AWS Glue, AWS Redshift, AWS EMR, Spark, Pandas, MLOps, LLM fine-tuning, prompt engineering, ETL
Preferred skills
AWS Certified Machine Learning – Specialty, AWS Certified Solutions Architect, Data Science certifications
Technologies
AWS (S3, EC2, Lambda, SageMaker, Glue, Redshift, EMR), TensorFlow, PyTorch, Scikit-learn, Spark, Pandas, GPT, Claude, LLaMA
Responsibilities
Develop and implement scalable ML models; create GenAI solutions for automation; lead technical projects and guide teams.
Seniority
Senior, hands-on IC with leadership
