Hello,
Only H1, H4, L2, Citizen only
Note: Green Card Not workable
Must have experience DevOps + ML OPS
Rate : $62/hr on C2C
Title: DevOps/ML Ops Consultant
Remote
Total: 10+ experience
Client: Zensar/Cisco
Key Responsibilities:
Collaborate with data scientists and engineers to automate machine learning workflows, from data preparation and model training to deployment and monitoring.
Implement continuous integration/continuous deployment (CI/CD) pipelines for machine learning systems.
Monitor and manage the performance of deployed models, ensuring they remain accurate and efficient over time.
Stay up-to-date with new technologies and advancements in the field of MLOps, introducing innovative solutions to improve existing processes.
Develop best practices for model versioning, testing, and deployment to facilitate reproducibility and traceability within the ML lifecycle.
Technical Skills Required:
Programming Languages: Proficiency in Python and familiarity with R, Java, or Scala.
Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Keras, or similar frameworks.
Data Processing: Strong understanding of data processing and transformation techniques using tools like Pandas, NumPy, or Apache Spark.
DevOps Tools: Knowledge of DevOps tools such as Docker, Kubernetes, Jenkins, GitLab CI/CD, and Ansible for automating deployment, scaling, and management of containerized applications.
Cloud Platforms: Experience with cloud services (AWS) including compute instances, storage options, and managed services related to machine learning (e.g., AWS SageMaker).
Configuration Management Tools: Proficiency in tools such as Ansible, Chef, or Puppet for automating software application deployment, configuration management, and infrastructure orchestration.
Continuous Integration and Continuous Deployment (CI/CD): Experience with CI/CD tools like Jenkins, Travis CI, GitLab CI, or CircleCI.
Machine Learning Operations (MLOps) Platforms: Understanding of MLOps principles and platforms to automate the deployment, monitoring, and management of machine learning models.
Thanks & Regards
Ashwin Reddy