Terbium Technologies lnc

AI/ML Engineer

Terbium Technologies lncContract
VirginiaH4-EAD, GC, GC-EAD, US Citizen, TN, L2
9 - 18 YearsMar 3rd, 2026
80 ViewsBe an Early Applicant
Required Skillset:
PythonFlaskMicroservicesLambdaS3TerraformData PipelinesPerformance TuningMonitoringAnomaly DetectionSummarizationSemantic SearchVector DatabasesEmbeddingsChatbotsBedrockModel VersioningModel InferenceAutomated RetrainingAWSFastAPIAPI GatewayCloudFormationGitHubCI/CD PipelinesGitLabSageMakerInfrastructure-as-CodeMLOpsECS/FargateDynamoDBRAG PipelinesCodePipelineRDS/AuroraReal-Time AnalyticsLLM-Powered AutomationContainerized Training/Inference

Job Description

AI/ML Engineer

Location :- Reston, VA for 12+ month extendable contract with 3 days ONSITE

 

Core Responsibilities (AI/ML, Python, AWS, GenAI)

Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.
Build and maintain cloud‑native applications on AWS using services such as Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock.
Develop high‑performance Python microservices (FastAPI/Flask) enabling scalable data pipelines, model inference, and real‑time analytics.
Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM‑powered automation (chatbots, summarization, semantic search, anomaly detection).
Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and infrastructure‑as‑code (Terraform/CloudFormation) for reliable, automated deployments.
Build robust MLOps workflows, including model versioning, containerized training/inference, automated retraining, monitoring, and performance tuning.

 

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