Job description

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

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