: MLOps Engineer – Reston, VA/Plano, TX (Day 1 Onsite) – Long Term Contract

Currently, we are looking for talented resources for one of our listed clients. If interested please reply to me with your updated resume.

Job Title: MLOPS Engineer

Location: Reston, VA/Plano, TX (Day 1 Onsite)

Duration: Long Term Contract

Job Description: –

·        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

Thanks & Regards

Vijay Kumar Nelapati

Sr US IT Recruiter

vijay@ekcelinc.com

https://www.linkedin.com/in/vijay-kumar-nelapati-b98533129/

Ekcel Inc | https://www.ekcelinc.com/

6600 Paige Rd, Suite 218-219, The Colony, TX 75056