MLOps Engineer - AWS

ML Engineer - AWS, Machine Learning, SageMaker, Git, Terraform, MLOps Type: W2 With Benefits - No C2C Location: Washington DC - 2 or 3 days per week onsite Key Responsibilities Build and operationalize ML models using AWS SageMaker. Work closely with: Data Science team on model development and operationalization. Technology team to validate platform integration and functionality. Act in a product owner like capacity for the ML Ops platform ensuring alignment with model development needs. Validat

MLOps Developer - Full Stack, AWS Type: W2 With Benefits - No C2C Location: Washington DC - 2 or 3 days per week onsite Top 5 Technical Skills: MLOps Python AWS (SageMaker, S3, EC2, EKS/Fargate, Lambda, AWS Glue, and IAM) Docker/Terraform CICD Job Description: We are seeking an experienced and highly skilled AWS Full Stack ML Engineer to operationalize and optimize our large-scale financial modeling applications. This role requires a unique blend of expertise in machine learning, software engine

Python Developer with AWS and GenAI experience Type: W2 With Benefits - No C2C Location: Reston, VA - 2 or 3 days per week onsite Top 5 Technical Skills: Python AWS Data Services Gen AI development PyTorch ML Top 3 Soft Skills: Level 3 support when needed Flexibility Great Communication skills Job Description: Key Responsibilities 1. Python Development: Design, develop, and maintain Python-based applications and tools. Write clean, efficient, and reusable code while adhering to best practices.

Systems Engineering Services is seeking an AWS Python Developer with a Java Certification based out of the Washington DC/Reston area. Top 5 Technical Skills: Python (Big Data Pipeline)AWSHadoop, Spark, HiveEMRTerraformTop 3 Soft Skills: Ability to collaborate well with team of developer Top Skills: Strong Python developement to build a big-data pipeline for data processing and analysisNeed strong experience in Hadoop EMR, Spark, Pyspark, Hive, AWS, Terraform (end to end automation), Github, CIC