MLOps Architect

1 week ago

portland, United States Blue Ocean Ventures Full time

MLOps Architect

Contract/Fulltime



Responsibilities:

  • -The Senior MLOps Architect will be responsible for architecting and implementing scalable MLOps solutions
  • .This role involves working closely with data scientists, data engineers, and software developers to ensure that machine learning models are efficiently deployed, monitored, and maintained
  • .The ideal candidate will have a strong background in both machine learning and software engineering, with experience in deploying ML models in production environments
  • .Architecture & Design: Design and implement scalable MLOps architectures and frameworks that support model development, deployment, monitoring, and lifecycle management
  • .Pipeline Development: Develop, maintain, and optimize ML pipelines for data preprocessing, model training, validation, and deployment
  • .Automation: Implement automation for CI/CD pipelines, testing, and monitoring of ML models in production. Infrastructure Management: Design and manage cloud-based and on-premises infrastructure for ML model training and deployment, including Kubernetes, Docker, and other relevant technologies
  • .Collaboration: Work closely with data scientists, data engineers, software engineers, and DevOps teams to integrate ML models into existing systems and workflows
  • .Monitoring & Performance: Implement monitoring and logging solutions to track model performance, data drift, and other critical metrics
  • .Security & Compliance: Ensure that ML models and pipelines adhere to security best practices and regulatory requirements
  • .Documentation & Best Practices: Create and maintain comprehensive documentation of MLOps processes, tools, and best practices
  • .Mentorship & Leadership: Provide technical leadership and mentorship to junior team members and help build a culture of continuous learning and improvement


.
Experience:

  • -10+ Yea


rs
Location

: -· Rem


ote
Educational Qualification

  • s: -Engineering Degree – BE/ME/BTech/MTech/BSc/
  • MSc.Technical certification in multiple technologies is desira


ble.
Mandatory s

  • killsTechnical Skills: Strong programming skills in Python, Java, or another programming lang
  • uage.Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-Le
  • arn).Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and related services (e.g., S3, EC2, Lambda, Glue, SageMaker e
  • tc.).Experience with containerization and orchestration technologies (e.g., Docker, Kuberne
  • tes).Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI/CD, Circl
  • eCI).Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormat
  • ion).Strong understanding of data engineering principles and ETL processes. Soft Skills: Excellent problem-solving and analytical skills. Strong communication and interpersonal sk
  • ills.Ability to work in a fast-paced, collaborative environ
  • ment.Strong organizational and time management sk
  • ills.Preferred Qualifications: Experience with model versioning and monitoring tools (e.g., MLflow, Kubeflow). Knowledge of data privacy and security regulat
  • ions.Previous experience in the healthcare industry or payer domain (Prefer


red).

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