AI/ML Platform Engineer

SURGE INFOTECH LLC
Alexandria, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Alexandria, United States of America

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Distributed Systems
Amazon DynamoDB
Python
Machine Learning
Natural Language Processing
TensorFlow
Azure
Systems Integration
Cloud Platform System
PyTorch
Large Language Models
Prompt Engineering
Deep Learning
Keras
FastAPI
Build Management
Kubernetes
Information Technology
Amazon Web Services (AWS)
Build Tools
Machine Learning Operations
Functional Programming
Api Gateway
Software Coding
Terraform
Docker
Microservices

Job description

  • Build and deploy productiongrade ML/AI pipelines and services
  • Develop LLMpowered and NLPdriven applications
  • Write, optimize, and maintain highquality Pythonbased ML code
  • Implement scalable infrastructure using Terraform, AWS, and Kubernetes
  • Build FastAPIbased inference services and cloud APIs
  • Collaborate with crossfunctional engineering teams to deliver highimpact systems
  • Troubleshoot, optimize, and own systems endtoend as a handson engineer

Preferred Skills

  • Experience with distributed systems and microservices
  • Strong understanding of ML model lifecycle, deployment patterns, and operational monitoring

Requirements

Do you have experience in System deployment?, We are seeking a hands-on Senior AI/ML Platform Engineer with 10+ years of IT experience and a strong track record of building, deploying, and operationalizing AI/ML systems. The ideal candidate is a doer who excels in implementing scalable, production-grade AI/ML solutions across cloud environments., * 10+ years of IT/engineering experience

  • 3+ years of handson AI/ML development experience
  • 4+ years working directly with AWS services (Lambda, EC2, S3, DynamoDB, IoT Core, API Gateway, Fargate/ECS)
  • Proven experience deploying ML systems into production environments
  • Strong coding skills and ability to build systems endtoend, * Deep Learning frameworks: TensorFlow, PyTorch, Keras
  • LLMs, prompt engineering, NLP pipelines
  • Python and Java as primary languages; strong engineering fundamentals
  • FastAPI and microservices for ML inference
  • InfrastructureasCode (Terraform)
  • Kubernetes and Docker for scalable ML workloads
  • Distributed/cloud systems design with AWS
  • Edgetocloud system integration experience
  • Handson build experience (not just design/architecture)

About the company

We are an IT Consulting Company specializing in transformative solutions. We provide comprehensive services including Enterprise Architecture, Application Modernization, and Talent Management. With a focus on innovation and efficiency, we empower businesses to navigate the complexities of the digital landscape. Our dedicated team of experts collaborates closely with clients to optimize their IT infrastructure, streamline applications, and cultivate a high-performing workforce. Through cutting-edge technologies and strategic insights, we drive sustainable growth and enhance operational excellence for organizations of all sizes.

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