AI/ML Software Engineer Senior (TS/SCI with Poly Required)
Chantilly, Virginia, United States
USD 124K-207K Senior-level Full Time
Tasks
- Build data ingestion transformation feature engineering and inference pipelines
- Deploy AI ML workloads on AWS using infrastructure as code and CI CD pipelines
- Design develop deploy maintain AI enabled software applications
- Develop scalable cloud native and on prem AI ML solutions
- Ensure responsible AI governance security privacy and compliance
- Implement Retrieval-Augmented Generation architectures
- Implement vector search and semantic search solutions
- Integrate machine learning models and LLM powered applications into production systems
- Maintain technical documentation for AI architectures and deployments
- Monitor models and implement observability and retraining workflows
- Troubleshoot production issues in AI models data pipelines and distributed systems
Perks/Benefits
Skills/Tech-stack
API Gateway | AWS | AWS CDK | AWS Glue | Airflow | Athena | Bedrock | CI/CD | CloudFormation | Dagster | Data Ingestion | Delta Lake | Docker | DynamoDB | EC2 | EMR | Elasticsearch | Event Driven | Event-driven architecture | EventBridge | Experiment tracking | Feature Engineering | Feature Stores | Generative AI | Git | Hive | IAM | Iceberg | Infrastructure as Code | Kubeflow | Kubernetes | Lambda | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Microservices | Model Deployment | Model Monitoring | Model Registry | Model versioning | NoSQL | Observability | OpenSearch | Parquet | PostgreSQL | Prefect | Prompt engineering | Python | RAG | RDS | RESTful APIs | Responsible AI | Retrieval-Augmented Generation | S3 | SNS | SQS | SageMaker | Semantic Search | Serverless | Spark | Step Functions | Terraform | VPC | Vector Databases | “as-code”
Education
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