Vass Inc
AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with a contract length of over 6 months, offering a pay rate of $120,000.00 - $124,000.00 per year. Key skills required include Python, AWS, and Generative AI experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
563
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🗓️ - Date
March 27, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Reston, VA 20190
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🧠 - Skills detailed
#Data Pipeline #RDS (Amazon Relational Database Service) #Aurora #Monitoring #GitHub #Scala #DynamoDB #FastAPI #Deployment #AWS (Amazon Web Services) #Cloud #Lambda (AWS Lambda) #Databases #Flask #S3 (Amazon Simple Storage Service) #GitLab #SageMaker #Anomaly Detection #ML (Machine Learning) #Terraform #API (Application Programming Interface) #AI (Artificial Intelligence) #Automation #Microservices #Python
Role description
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
Pay: $120,000.00 - $124,000.00 per year
Benefits:
- Dental insurance
- Health insurance
- Paid time off
Work Location: In person
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
Pay: $120,000.00 - $124,000.00 per year
Benefits:
- Dental insurance
- Health insurance
- Paid time off
Work Location: In person
