Title: MLOPS Engineer
Location: Hybrid, B'Ville, AR or Dallas, TX (Local to AR Or TX)
Duration: 6+ Months
MOI: Phone then video
Visa: USC/GC
GLIDER WILL BE REQUIRED
Candidates must be strong with Google Cloud Platform (GCP), Kubernetes, Grafana, Machine Learning, PySpark. Manager said what would make a candidate stand out if if they have performed Kubernetes implementations and understand the production deployment process on resume*
GENERIC JOB DESCRIPTION:
Our Data Science team is building a first-in-class platform of tools and services covering high-performance computing, ML training services, DevOps, model deployment, and metadata capture. Our goal is to decrease AI/ML development/training cycle time and raise the quality bar on AI/ML's shipped services by drastically simplifying the process of AI/ML Engineering.
This is a hands-on position where you will be empowered to be creative, ambitious, and bold. Our mission on the Data Science team is to provide deep computing expertise, automated workflows, production-grade infrastructure, and helpful tooling to enable the AI/ML team and our partners to solve cutting-edge research problems in the retail space and translate their solutions into a direct impact on the business and on members. The ML Engineer function works directly with AI/ML project teams doing cutting-edge work, serving as the voice of expertise in software engineering, scientific computing at scale, and expert problem-solving.
Responsibilities
o Identifies, creates, and applies software development and security standards and practices.
o Plans, designs, and documents software components.
o Develops and operates end-to-end automated solutions for IT ops activities (including deployment, release management, monitoring, etc.).
o Collaborates with Operations, Development, and QA functions to develop solutions that are predisposed to scalability and simplified maintenance.
o Configures and maintains on-premises and Google cloud infrastructure to ensure availability, performance, scalability, and security of development, testing, and production environments, relying on automated scripts and configuration management tools.
o Creates and manages Infrastructure as Code (IaC).
o Maintains, extends, and builds automated CI and CD pipelines.
o Demonstrates expertise in the deployment of integrated or stand-alone releases across multiple interconnected and dispersed applications.
o Uses industry standard tools to improve and speed up delivery of our products and services.
o Provides fast and thoughtful issue resolution by executing quick fixes or proactively identifying and solving problems related to builds in production environments.
o Creates the pipeline to periodically generate code quality metrics.
o Drives each team to be self-sufficient by providing tools and training and brings different teams together to work towards common goals.
o Coordinates resources across technology functions to stand up and monitor environments.
o Configures and automates development and test environment, deployment, automation, and support test data management.
o Establishes workflows that use the automated pipelines for CI and CD.
o Works closely with product and application teams to create version control branching strategy.
o Works cross-value streams with other DevOps Engineers to avoid and resolve merge conflicts.
o Develops tool integrations that allow for end to end traceability for application development (from requirements to code objects changed to meet the requirements).
o Develops, maintains, extends and builds automated Continuous Integration and Continuous Delivery pipelines.
Required
BS or MS degree in Computer Science or related field
Expertise in software development
o Expertise in CI/CD and DevOps practices
o Expertise in k8s
Hands on experience in defining CI/CD pipelines for enterprises e.g. Concord/Looper/etc.
o Experience deploying and maintaining high volume APIs
o Experience in QA and SRE
Nice to Have
o Experience with and understanding of best practices in Machine Learning, software engineering, and production deployment of ML services
o Experience with Kubeflow, MLFlow and MLOps practices
o Experience deploying applications in GCP and Azure
Thank You!
Udit Dabas| Recruitment Lead
D: 215-278-8860
First Ring Solutions LLC | Philadelphia, PA 19102
Note: Due to high volume of calls, I may miss your call, email is the better way to reach me, Kindly co-operate…
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