Associate Devops Engineer

3 weeks ago


San Jose, United States HR - TA Full time

About iOPEX: iOPEX is a global leader in optimizing IT operations, dedicated to delivering innovative solutions to our clients. Our platform, elevAIte, is a cutting-edge Generative AI Data and Model Management Platform designed to transform the way organizations leverage AI. Join our dynamic team and contribute to the future of AI-driven technology.


Job Description:

Position Overview: We are seeking a talented Devops/MLOps Engineer to join our elevAIte team at iOPEX. The ideal candidate will have a strong background in machine learning operations, with experience in deploying, managing, and scaling AI models in production environments. As an MLOps Engineer, you will play a crucial role in ensuring the smooth operation and continuous improvement of our AI solutions.


Experience Range: 3-5 Yrs Relevant Experience


Key Responsibilities:

  • Design, implement, and maintain scalable and reliable ML pipelines for model deployment and monitoring.
  • Collaborate with data scientists, AI engineers, and software developers to integrate ML models into production systems.
  • Automate the end-to-end ML lifecycle, including data preparation, model training, validation, deployment, and monitoring.
  • Develop and manage CI/CD pipelines for ML projects to ensure rapid and safe deployment of models.
  • Monitor model performance in production and implement strategies for continuous improvement and retraining.
  • Ensure compliance with data security and privacy regulations throughout the ML lifecycle.
  • Troubleshoot and resolve issues related to ML model deployment and operation.
  • Stay current with industry trends and best practices in MLOps, applying new techniques and tools to enhance our platform.


Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Proven experience as an MLOps Engineer, DevOps Engineer, or similar role.
  • Excellent experience setting up kubernetes clusters on-prem and in any of the clouds (EKS, GKE etc.)
  • Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and deployment tools.
  • Proficiency in programming languages such as Python, Rust.
  • Good Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization/orchestration tools (e.g., Docker, Kubernetes) and IaC
  • Experience setting up CI/CD tools and practices (e.g., Jenkins, Github, GitLab CI/CD).
  • Excellent Linux Scripting skills
  • Experience of any one infrastructure-as-code tools (e.g., Terraform, Cloud Formation etc.).
  • Understanding of monitoring and logging tools (e.g., Prometheus, Grafana).
  • Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.
  • Willingness to learn and adapt to newer technologies both open and closed
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.


Preferred Qualifications:

  • Experience with big data technologies (e.g., Hadoop, Spark).
  • Experience with feature engineering and model evaluation techniques.
  • Experience with Ray framework for Model Serving and Training
  • Experience with Flyte for Workflow orchestration


Why Join iOPEX?

  • Opportunity to work on state-of-the-art AI technologies and innovative projects.
  • Collaborative and inclusive work environment.
  • Professional growth and development opportunities.
  • Competitive salary and comprehensive benefits package.

Join iOPEX and be a part of the AI revolution


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