Machine Learning Infrastructure Specialist
5 days ago
Job Summary
We are seeking a highly skilled Machine Learning Infrastructure Specialist to join our team at PeopleLogic. As an MLOps Engineer, you will be responsible for designing and maintaining scalable, efficient, and secure infrastructure for machine learning operations using AWS services.
Key Responsibilities:
- Infrastructure Development & Optimization: Design and maintain scalable, efficient, and secure infrastructure for machine learning operations using AWS services (e.g., EC2, S3, SageMaker, ECR, ECS/EKS).
- MLOps & Model Management: Proven experience in managing large ML projects, including model deployment, monitoring, and maintenance.
- AWS Connect & Integration: Understanding of AWS Connect for customer interactions and integration with ML models.
- Collaboration & Stakeholder Engagement: Collaborate with data scientists, engineers, and DevOps teams to ensure alignment on project goals, data requirements, and model deployment standards.
- Security & Compliance: Implement data security and compliance measures, ensuring all deployed models meet organizational and regulatory standards.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience as an MLOps Engineer, DevOps Engineer, or similar role focused on machine learning deployment and operations.
- Strong expertise in AWS services, particularly SageMaker, EC2, S3, Lambda, and ECR/ECS/EKS.
- Proficiency in Python, including ML-focused libraries like scikit-learn and data manipulation libraries like pandas.
- Familiarity with containerization tools such as Docker and Kubernetes.
- Experience with CI/CD pipelines, Git, and version control for ML model deployment.
Salary
The estimated salary for this position is $140,000 - $160,000 per year, depending on location and experience.
About Us
PeopleLogic is a leading company in the machine learning space, dedicated to providing innovative solutions for businesses. We offer a dynamic and supportive work environment, with opportunities for professional growth and development.
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