Lead with AIMLLLM and MLOPS Engineer
Lead with AIMLLLM and MLOPS Engineer
Employer Active
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Location : Remote (Preferred from Austin TX)
The vendor will support the development deployment and maintenance of machine learning pipelines AIpowered applications and selfhosted large language model (LLM) inferencing infrastructure.
The team will take proofofconcepts and prototypes developed by Apple engineers and scale them into productiongrade systems adhering to best practices in software development MLOps and cloud infrastructure management.
Technology stack that team will be working on (MLOPS ICEberg AWS and front end Lightweight NextJS are important)
Tech stack details:
Backend: Python (Django FastAPI)
Unit/integration testing (pytest)
Asynchronous job scheduling (Celery)
Adherence to PEP8 and PEP257 coding standards
Frontend: ReactJS (Next.js)
Machine Learning:
Python ML & DS ecosystem (PyTorch XGBoost scikitlearn pandas numpy)
Model interpretability & explainability frameworks (SHAP)
ML pipelines & workflow automation (MLflow Airflow)
Infrastructure: AWS (EC2 S3 EKS SageMaker)
Infrastructure as Code (IaC) using Terraform and Ansible
Proper IAM rolebased access controls
Network security best practices (VPC security groups private subnets)
MLOps:
Model training monitoring & deployment (MLflow AWS SageMaker AWS Airflow)
Data labeling & versioning (Label Studio DVC
CI/CD & Monitoring:
Automated linting test & deployment: Jenkins
Telemetry & Monitoring: Prometheus Grafana AWS CloudWatch
Containerization & Orchestration: Docker Kubernetes Helm
Additional technologies as needed
Employment Type
Full Time
