MLOps & LMOps engineer

MLOps & LMOps engineer

Parsippany , NJ

Longterm

Description

• "MLOps & LMOps Expertise, Programming & ML Frameworks, Infrastructure & Automation Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow).
• Hands-on experience with CI/CD tools (Azure DevOps, GitHub).
• Proficiency in cloud-native platforms and associated tools (Google Cloud Platform, GKE, Vertex AI, Apigee). Proficiency in Static Application Security Testing (SonarQube) Proficiency in Binary Repository Management (JFrog Artifactory) Strong understanding of container orchestration (Docker, Kubernetes) and distributed systems.
• Experience with Terraform for infrastructure automation and deployment. Understanding of ETL tooling capabilities. Ability to pull data from various sources, perform a load of the transformed data into a database or business intelligence platform.
• Familiarity with Machine learning algorithms which help data scientists make predictions based on current and historical data.
• Ability to build data APIs to serve downstream applications. Ability to code using programming language for statistical analysis and modeling such as Python/Java/Scala/C++.
• Understanding the basics of distributed systems.
• 5+ years of experience in ML Engineering, with recent experience in GenAI or LMOps.
• A bachelor s degree in MIS or mathematics, statistics, or computer science, international equivalent, or equivalent job experience."