Machine Learning Infrastructure / MLOps Engineer
Machine Learning Infrastructure / MLOps Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Solution IT Inc. is looking for a Machine Learning Infrastructure / MLOps Engineer for one of its clients Chicago IL Hybrid
Job Title: Machine Learning Infrastructure / MLOps Engineer
Summary
Client seeks an experienced Machine Learning Engineer contractor to build algorithmic assets across Personalization Generative AI Forecasting and Decision Science domains. This role combines deep technical modeling expertise with infrastructure engineering to design build and operate end-to-end ML/AI systems at implement foundational MLOps frameworks across the full product lifecycle including data ingestion ML processing and results delivery/activation. Working cross-functionally with data science data engineering and architecture teams youll serve as both solutions architect and hands-on implementation engineer.
Required Skills
- Model Development & Optimization
- Design and optimize machine learning models including deep learning architectures LLMs and specialized models (BERT-based classifiers)
- Implement distributed training workflows using PyTorch and other frameworks
- Fine-tune large language models and optimize inference performance using compilation tools (Neuron compiler ONNX vLLM)
- Optimize models for hardware targets (GPU TPU AWS Inferentia/Trainium)
- Infrastructure Design & AI-Services Architecture
- Design AI-services and architectures for real-time streaming and offline batch optimization use-cases
- Lead ML infrastructure implementation including data ingestion pipelines feature processing model training and serving environments
- Build scalable inference systems for real-time and batch predictions
- Deploy models across compute environments (EC2 EKS SageMaker specialized inference chips)
- MLOps Platform & Pipeline Automation
-
- Implement and maintain MLOps platform including Feature Store ML Observability ML Governance Training and Deployment pipelines
- Create automated workflows for model training evaluation and deployment using infrastructure-as-code
- Build MLOps tooling that abstracts complex engineering tasks for data science teams
- Implement CI/CD pipelines for model artifacts and infrastructure components
- Performance & Cross-functional Partnership
- Monitor and optimize ML systems for performance accuracy latency and cost
- Conduct performance profiling and implement observability solutions across the ML stack
- Partner with data engineering to ensure optimal data delivery format/cadence
- Collaborate with data architecture governance and security teams to meet required standards
- Provide technical guidance on modeling techniques and infrastructure best practices
Work Site: Chicago IL - Hybrid
Duration: Long Term
Expected Start Date: Immediate - 2 weeks
Number of Positions: 01
Please send your responses back to
About Solution IT
Solution IT is a national IT consulting company specializing in: Technology Staffing and Oracle E-Business Solutions based in Boston Massachusetts.Employment Type
Full-time
