Key skills
AWSDockerKerasKubernetesPySparkPythonPyTorchScikit-LearnTensorflowTypeScriptAIMachine LearningMLGenerative AILarge Language ModelsRAGAgenticTensorFlowscikit-learnMLOpsGitLab CISageMakerBedrockGitLabSource ControlJiraConfluenceCI/CD
About this role
Role Overview
- Implement Machine Learning Operations (MLOps) practices to automate and standardize the ML lifecycle—from model development and training to deployment and monitoring
- Apply DevOps principles to ensure reliable, efficient, and scalable ML systems in production
- Design and develop AI/ML pipelines supporting: Machine Learning models, Generative AI and Large Language Models (LLMs), Retrieval Augmented Generation (RAG) architectures, Agentic AI workflows
- Translate stakeholder requirements into functional prototypes and deployable enterprise solutions
- Support model performance monitoring, optimization, and continuous improvement
- Develop AI/ML solutions using Python and frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, PySpark, vLLM, NVIDIA CUDA
- Manage source control using GitLab
- Implement CI/CD pipelines using GitLab CI/CD
- Utilize containerization and orchestration technologies including Docker and Kubernetes
Requirements
- Bachelor’s degree and 11+ years of relevant experience (or equivalent combination of education and experience)
- Strong experience building and deploying AI/ML models in production environments
- Experience implementing MLOps practices
- Active TS/SCI with Polygraph
- Experience with MLOps platforms and tooling
- Experience with AWS SageMaker
- Experience with AWS Bedrock
- Experience with Gambit
- Experience with Hub
- Experience using Jira and Confluence
- Experience with Docker Hub
Tech Stack
- AWS
- Docker
- Keras
- Kubernetes
- PySpark
- Python
- PyTorch
- Scikit-Learn
- Tensorflow
- TypeScript
Benefits
- Medical
- Dental
- Vision
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- 401(k) match
- Flexible Spending Accounts
- EAP
- Training and Tuition Assistance
- Paid Time Off
- Holidays