Required skills
Job description
Project overview
Position: MLOps ( Python Cor, ML engineer)
Requirements
Python, Azure, ML, AKS, PyTorch
Here is JD below:
- Hands-on experience developing, fine-tuning, and deploying ML and foundation models in production.
- Strong Python skills and expertise with PyTorch and/or TensorFlow.
- Experience building and operating MLOps pipelines, including CI/CD, model lifecycle management, and monitoring.
- Experience deploying ML workloads on Azure and Kubernetes (AKS).
- Strong software engineering practices, including testing, code quality, and automation.
- Ability to work effectively with ML researchers, data scientists, and cross-functional engineering teams.
- Experience managing multi-GPU-based workloads and optimizing model performance.
Nice to have
Job Facts: Contract W2 | On-site | Depends on Experience
Skills: GPU, Continuous Integration, Kubernetes, Machine Learning Operations (ML Ops), PyTorch, Python, Machine Learning (ML), Continuous Delivery, Microsoft Azure, Management, TensorFlow
Reference: Dice Id: 10125301 | Position Id: EP266598
- Experience with distributed training frameworks and large-scale model training.
- Familiarity with ML platform engineering, including training infrastructure and workload orchestration.
- Exposure to platform operations, reliability, governance, and compliance requirements.
- Experience mentoring engineers or leading technical initiatives.
Project details
USA any, or Ideally San Jose, CA; San Diego, CA; Wilton, CT
12+Months
- Start: flexible
- Remote: onsite
- Location: San Diego, CA, US, US
Indexed by 9am's meta-search. You are a job provider? Claim or manage this listing
Found on Dice