Senior Machine Learning Engineer

Systems Limited; Lahore; On-site; PKR 3,000,000 - 5,000,000; Full time

Job summary

Systems Limited seeks a Mid-Level Machine Learning Engineer with 4-6 years of experience to design, build, and deploy AI agents on Amazon Bedrock AgentCore. You will develop multi-agent systems for extraction, testing, and evaluation and build robust pipelines to process PDFs, Word documents, images, and other file types.

You will also manage databases, implement full CI/CD pipelines, and drive MLOps practices including versioning, monitoring, logging, testing, rollback, and performance

Qualifications

• 4-6 years of experience in ML/AI engineering or related roles.
• Strong hands-on experience with AWS AI/ML services, especially Bedrock and AgentCore.
• Experience building autonomous or multi-agent AI systems.
• Knowledge of prompt engineering, agent communication, and tool function calling.
• Experience with AWS services like Lambda, S3, DynamoDB/RDS, SageMaker, API Gateway, IAM, CloudWatch, Step Functions.
• Strong MLOps and CI/CD experience.
• Experience with NLP/OCR/LLM-based data extraction.
• Working knowledge of SQL/NoSQL databases.
• Understanding of ML/LLM evaluation metrics.
• Docker/ECS/EKS experience is beneficial.

Responsibilities

• Design, build & deploy AI agents on Amazon Bedrock AgentCore.
• Develop and maintain a multi-agent system for extraction, testing, and evaluation.
• Build pipelines to process PDFs, Word docs, images, scanned files, etc.

Skills

Problem solving

Communication

Ownership mindset

Independence

Fast learning

Tools

Amazon Bedrock

AgentCore

Docker

Lambda

S3

DynamoDB

SageMaker

API Gateway

IAM

CloudWatch

Step Functions

ECS

EKS

Job description

Mid-Level Machine Learning Engineer with 4-6 years of experience, strong hands-on expertise in AWS AI/ML services and MLOps, to build and manage an Agentic AI system on Amazon Bedrock AgentCore.

Responsibilities

• Design, build & deploy AI agents on Amazon Bedrock AgentCore.
• Develop and maintain a multi-agent system for extraction, testing, and evaluation.
• Build pipelines to process PDFs, Word docs, images, scanned files, etc.
• Manage databases for storing and retrieving extracted rules.
• Build and maintain CI/CD pipelines for deployment and testing.
• Implement MLOps: versioning, monitoring, logging, testing, rollback, and performance tracking.
• Troubleshoot agent failures and improve prompts, workflows, and configurations.
• Collaborate with data engineers, product managers, and ML engineers.
• Ensure the system is scalable, secure, cost-optimized, and production-ready.
• Document architecture, workflows, and runbooks.

Qualifications

• 4-6 years of experience in ML Engineering, AI Engineering, or related roles.
• Strong hands-on experience with AWS AI/ML, especially Amazon Bedrock & AgentCore.
• Experience building autonomous/multi-agent AI systems.
• Knowledge of prompt engineering, agent communication, and tool/function calling.
• Experience with AWS services such as Lambda, S3, DynamoDB/RDS, SageMaker, API Gateway, IAM, CloudWatch, Step Functions.
• Strong MLOps & CI/CD experience.
• Experience with NLP/OCR/LLM-based data extraction.
• Working knowledge of SQL/NoSQL databases.
• Understanding of ML/LLM evaluation metrics.
• Docker/ECS/EKS experience is beneficial.
• Strong problem-solving, communication, independence, and ownership mindset.