MLOps (and DevOps) Sr Lead / Architect

Highbrow LLC; Bellevue (WA); On-site; USD 180,000 - 260,000; Full time

Job summary

Highbrow LLC is seeking an experienced MLOps (and DevOps) Sr Lead / Architect to architect and implement end-to-end ML and application delivery in a Bellevue, WA setting. The role requires hands-on expertise across ML lifecycle tooling, container orchestration, cloud platforms, and full-stack development.

The candidate will design scalable MLOps workflows, build CI/CD pipelines, containerize models, and collaborate with data scientists and software engineers to deploy reliable, observable

Qualifications

• Experience with ML model lifecycle tooling and version control.
• Proven background in building ML-enabled architectures.
• Strong cloud and IaC experience.
• Full-stack capabilities with modern JS frameworks.

Responsibilities

• Design and implement MLOps architecture for ML deployment.
• Create and maintain CI/CD pipelines for ML and apps.
• Containerize ML models and deploy to production.
• Develop front-end and back-end APIs with Node.js or Django.
• Collaborate with data scientists and software teams.

Skills

MLOps

DevOps

Full stack

Kubernetes

TensorFlow

Python

CI/CD

Tools

MLflow

DVC

Airflow

Jenkins

GitLab CI

CircleCI

Terraform

CloudFormation

Ansible

Chef

Docker

Kubernetes

TensorFlow Serving

Seldon

Kubeflow

Job description

Job Title :- MLOps (and DevOps) Sr Lead / Architect

Employment Type :- W2

Duration :- Long Term

Visa Type :- All Visa applicable which are ready for W2

Location- Bellevue, WA (Day-1 Onsite)

Industry :- Telecom

Job Description:

Need a strong candidate who has experience with MLOps (and DevOps) architecture and implementation experience and preferably understands Full stack development and was working as a full stack engineer in his previous roles.

MLOps:

• Familiarity with ML lifecycle tools (MLflow, DVC, Airflow) and version control for data and models.
• Experience with data science and ML libraries: TensorFlow, PyTorch, Scikit-Learn, etc.
• Knowledge of container orchestration with Kubernetes and model serving frameworks (e.g., Seldon, TensorFlow Serving).

DevOps:

• Proficient in CI/CD tools such as Jenkins, GitLab CI, or CircleCI.
• Cloud platforms expertise (AWS, Azure, Google Cloud) and cloud-native services (Docker, Kubernetes).
• Experience with IaC (Terraform, CloudFormation) and configuration management tools (Ansible, Chef).

Full Stack Development:

• JavaScript/TypeScript, HTML, CSS, and frameworks like React, Angular, or Vue.js.
• Experience with UI/UX design principles and responsive web design.
• Proficiency in Node.js, Python, or similar back-end technologies.
• Knowledge of RESTful APIs, GraphQL, and microservices architecture.

Nice-to-Have:

• Experience in Telco domain will be a huge plus but not mandatory
• Experience with data engineering tools (e.g., Apache Spark, Kafka).
• Knowledge of distributed computing and big data solutions.
• Prior experience with A/B testing, monitoring model performance, and tracking business metrics related to ML.

Job Responsibilities

Need a strong candidate who have experience with MLOps (and DevOps) architecture and implementation experience and preferably understands Full stack development and was working as a full stack engineer in his previous life.

MLOps:

• Implement CI/CD pipelines specifically tailored for machine learning model deployment.
• Design and develop MLOps workflows, including model training, validation, deployment, monitoring, and retraining.
• Collaborate with data scientists to containerize ML models and ensure efficient deployment to production.
• Utilize ML monitoring tools and frameworks (e.g., MLflow, Kubeflow, Airflow) to monitor model drift, performance, and data quality in production environments.
• Manage model versioning, artifact tracking, and reproducibility of experiments.

DevOps:

• Implement and manage CI/CD pipelines to automate code deployment and delivery.
• Design infrastructure as code (IaC) using tools like Terraform, CloudFormation, or Ansible.
• Deploy and manage cloud resources in AWS, Azure, or Google Cloud.
• Monitor system performance and optimize applications for reliability and performance.

Full Stack Development:

• Has experience Designing and implementing scalable and efficient front-end and back-end solutions.
• Build user-friendly web interfaces and responsive applications using frameworks like React, Angular, or Vue.js.
• Develop back-end APIs and services using Node.js, Django, or similar technologies.
• Ensure optimized performance, security, and scalability of web applications.