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MLOps Engineer

4 months ago

Sunnyvale, United States Artmac Soft LLC Full time
Job DescriptionJob Description

Who we are

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.

Job Description:

Job Title : MLOps Engineer

Job Type : C2C/1099

Experience: 9-20 Years

Location : Sunnyvale,California

We are looking for an MLOps Engineer who will be responsible for designing, building, and maintaining machine learning infrastructure and pipelines. This role requires a deep understanding of both software engineering and data science, with a focus on deploying and maintaining scalable machine learning solutions in production environments.

Responsibilities:

  • Having experience in product-based technologies Data Engineer, Infrastructure, Load Testing, Python, and DevOps.
  • Experience with containerization and orchestration tools like Docker and Kubernetes.
  • Hands-on experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
  • Strong understanding of CI/CD tools and practices (e.g., Jenkins, GitLab CI/CD).
  • Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK Stack).
  • Design and develop robust data pipelines to support machine learning workflows.
  • Ensure data quality, integrity, and consistency across various data sources.
  • Optimize resource utilization and manage cloud resources (e.g., AWS, Azure, GCP).
  • Implement and manage container orchestration using Kubernetes or similar technologies.
  • Develop and execute load testing strategies to ensure the scalability and performance of machine learning systems.
  • Identify bottlenecks and optimize system performance under high load conditions.
  • Develop and maintain Python scripts and libraries for data processing, model training, and deployment.
  • Implement CI/CD pipelines to automate the deployment of machine learning models.
  • Manage configuration and deployment of infrastructure as code (IaC) using tools like Terraform or Ansible.
  • Monitor and maintain the health of production systems, ensuring high availability and reliability.
  • Maintain comprehensive documentation of ML pipelines, infrastructure, and processes.

Qualification:

  • Bachelor's degree or equivalent combination of education and experience