Machine Learning Engineer
Core
Architect, design, and deploy enterprise-grade AI/ML projects on AWS, bridging data engineering and data science to deliver predictive insights and automation.
Role type
Senior Machine Learning Engineer (IC)
Builds
Scalable MLOps architectures, GenAI/RAG systems, and high-volume data pipelines
Domain
Cloud AI/ML (AWS) + Generative AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, AWS SageMaker, AWS Bedrock, MLOps, Vector Databases, SQL, Spark, Kafka, RAG pipelines
Preferred skills
AWS Certified Machine Learning – Specialty, AWS Certified Solutions Architect
Technologies
SageMaker, Bedrock, OpenSearch, Pinecone, PyTorch, TensorFlow, Scikit-learn, Hugging Face, Spark, Kafka, Kinesis, Elasticsearch, Hadoop, MySQL, Postgres, DynamoDB
Responsibilities
Architect end-to-end ML solutions including predictive analytics and GenAI/RAG; Define and implement enterprise MLOps strategies with CI/CD; Design scalable ETL infrastructure and feature stores; Architect unstructured data ingestion and vector search systems; Act as trusted AI advisor to enterprise customers; Mentor junior and mid-level engineers
Seniority
Senior, hands-on IC with mentorship
