Tekgence Inc
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer, offering a 12+ month remote contract with a pay rate of "unknown." Key skills include AWS certification, Python, AWS Bedrock, and experience with HIPAA/PHI. Requires 3–5+ years in AWS development.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 22, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#SaaS (Software as a Service) #AWS Lambda #GIT #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #ML (Machine Learning) #DynamoDB #Python #Lambda (AWS Lambda) #Cloud #GitHub #SageMaker #API (Application Programming Interface) #Deployment #Aurora #RDS (Amazon Relational Database Service)
Role description
Job Title: MLOPS Engineer
Location: Remote Job
Duration: 12+ months
contract Focus Area: Build and operate the centrally-hosted agent orchestration switch and the Health Insurance Client federation agents (Policy, Provider, Member) on AWS Bedrock / AgentCore, exposed via MCP / A2A. Own the PA orchestrator that fans out to ~13 sub-agents in parallel at a
Skill: AWS Certified (Machine Learning – Specialty, or Solutions Architect) — Preferred. Python; AWS Bedrock, SageMaker, AgentCore; MCP protocol tool authoring; agent-orchestration frameworks (LangGraph or equivalent); prompt engineering; eval golden-dataset design; RAG; OAuth2/OIDC; mTLS; AWS Lambda; API Gateway / GCP Apigee; DynamoDB; RDS/Aurora; Step Functions; RESTful API; Git + GitHub; CloudWatch; OpenTelemetry; distributed tracing; multi-tenant SaaS; HIPAA/PHI awareness. 3–5+ years AWS development deployment.
Job Title: MLOPS Engineer
Location: Remote Job
Duration: 12+ months
contract Focus Area: Build and operate the centrally-hosted agent orchestration switch and the Health Insurance Client federation agents (Policy, Provider, Member) on AWS Bedrock / AgentCore, exposed via MCP / A2A. Own the PA orchestrator that fans out to ~13 sub-agents in parallel at a
Skill: AWS Certified (Machine Learning – Specialty, or Solutions Architect) — Preferred. Python; AWS Bedrock, SageMaker, AgentCore; MCP protocol tool authoring; agent-orchestration frameworks (LangGraph or equivalent); prompt engineering; eval golden-dataset design; RAG; OAuth2/OIDC; mTLS; AWS Lambda; API Gateway / GCP Apigee; DynamoDB; RDS/Aurora; Step Functions; RESTful API; Git + GitHub; CloudWatch; OpenTelemetry; distributed tracing; multi-tenant SaaS; HIPAA/PHI awareness. 3–5+ years AWS development deployment.
