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Syntricate Technologies

MLOps (and DevOps) Sr Lead / Architect

Syntricate Technologies, Burlington, MA, United States

Hi
Hope you are doing well.

Role: MLOps (and DevOps) Sr Lead / Architect
Location: Bellevue WA - Onsite
12 months contract

Only W2, No C2C or Contract

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.


Regards,
Gaurav Sharma
Sr Technical recruiter
Direct: 781-896-2155
Email: gaurav@syntricatetechnologies.com