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MLOPS Engineer || Reston, VA/Plano, TX(Hybrid)

Need Local and H1B candidate with Passport No

Need Candidate within 100 Miles

 

 

Role: MLOPS Engineer

Location: Reston, VA/Plano, TX(Hybrid)

 

Job Description:-

10+ Years Overall experience

  • MLOPS (Machine Learning Operations): The MLOPS Engineer will design and build scalable machine learning infrastructure, ensuring smooth deployment, monitoring, and lifecycle management of ML models.
  • Responsibilities include automating workflows, enabling continuous integration/continuous deployment (CI/CD) pipelines.
  • Develop and Maintain ML Infrastructure: Build and maintain ML pipelines that support model training, testing, deployment, and monitoring.
  • Model Deployment: Implement efficient processes for deploying ML models in production environments, such as cloud platforms or on-premises infrastructure.
  • Set up CI/CD pipelines for continuous integration and delivery of ML models. Automation and Scaling: Automate model retraining, validation, and performance monitoring processes.
  • Collaboration with Data Scientists: Work closely with data scientists to streamline the model development lifecycle and ensure models can easily be transitioned to production.
  • Monitoring and Optimization: Monitor ML models in production for accuracy and performance and troubleshoot any deployment or scaling issues.
  • Infrastructure as Code (IaC): Develop infrastructure as code to manage cloud resources for ML workloads.
  • Versioning and Experimentation Tracking: Implement model versioning, experiment tracking, and reproducibility techniques.
  • Security and Compliance: Ensure models comply with organizational security standards and regulatory guidelines.
  • Containerization: Hands-on experience with Docker, Kubernetes, or other container orchestration systems.
  • CI/CD Tools: Knowledge of Jenkins, GitLab, CircleCI, or other CI/CD tools for automation.
  • Data Pipelines: Experience orchestration tools for managing data pipelines.
  • Version Control: Familiarity with Git for code versioning.
  • DevOps Experience: Basic understanding of DevOps tools and practices (e.g., Terraform)
  • 8+ years of experience on Python and AWS Services using ML Models Implementation to Production

 

Regards

Sagar Bhardwaj

Sr. Technical Recruiter

300 Alexander Park |Suite #200|Princeton , NJ 08540

Office: +1 7324521006 Ext238

Email: sagar.bhardwaj@diverselynx.com| URL: http://www.diverselynx.com

 

 

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