| Company |
McAfee |
| Job title |
ML Platform Engineer |
| Job location |
Remote – India |
| Type |
Full Time |
Responsibilities:
- Develop and maintain scalable pipelines for ML model retraining, containerization, validation, and approval.
- Develop and maintain model training datasets.
- Collaborate with Data Scientists to design, validate, deploy, monitor, and maintain production scale ML models.
- Build and maintain solutions on Databricks, AWS, EKS, and Kubeflow.
- Scale up existing pipelines to work with larger datasets and optimize resource usage.
- Build and maintain infrastructure as code (IaC) in the cloud, that is resilient and can scale when needed.
- Work with stakeholders across the organization to identify opportunities utilizing big data from many different sources.
Requirements & Skills:
- 6-8 years of experience as a software engineer, with expertise in building ML and data pipelines (cybersecurity experience is a plus).
- Bachelor’s degree in IT, Software Engineering, or Computer Science is preferred.
- Proficient in Python, Linux shell scripting, and tools like PySpark, Pandas, and NumPy.
- Hands-on experience with Databricks, big data management, and core AWS services (EC2, S3, CloudWatch, Lambda, etc.).
- Knowledge of containerization (Kubernetes/EKS) and infrastructure-as-code tools (Terraform or CloudFormation).
- Skilled in debugging computational bottlenecks, troubleshooting, software testing, and optimizing data pipelines.
- Self-motivated, with strong problem-solving skills, and comfortable collaborating remotely with international teams.
