What are the responsibilities and job description for the MLOps Engineer position at Miracle Software Systems, Inc.?
Job Details
We Miracle Software Systems is looking for the MLops engineer to our direct client @ Dearborn,MI location.
Note : Only W2 candidate, 8 years expirence needed
Role: MLOps/Cloud Software Engineer
Location: Dearborn, Michigan Duration: 12 Months
Skills :
Languages: Python, C/C , Bash, PowerShell.
Cloud (Google Cloud Platform): Vertex AI, Cloud Functions, BigQuery, GKE.
ML/AI: Mach1ML, Kubeflow, Airflow.
DevOps: Jenkins, Tekton, Docker, Kubernetes, Terraform.
DB: BigQuery.
Practices: Paired Programming, TDD.
Position Description:
Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in Google Cloud Platform using Python and other tools for the data scientists and business across the company. Work with software and ML engineers/Data Scientist to tackle challenging AIOps and Gen AI problems. Maintain and mange current CI/CD ecosystem and tools Find ways to automate and continually improve current CI/CD processes and release processes Examine, inspect codes / scripts and resolve issues Help innovate standardize machine learning development practices. Experiment, innovate and share knowledge with the team. Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery. Leverage latest ML/Gen AI / Google Cloud Platform/AIOPs/Kubernetes technologies
Skills Required:
A Bachelor s degree in Computer Science / Computer Engineering or similar technical discipline.
8 years of over all work experience
4 years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
4 years of experience with Cloud Engineering / Services
Experience with ML workflow orchestration tools: Airflow, Kubeflow etc.
Advanced working knowledge of object-oriented/object function programming languages: Python, C/C
Experience/understanding in MLOPs and Gen AI
Experience in DevOps: Jenkins/Tekton etc.
Experience with cloud services, preferably Google Cloud Platform Services like Vertex AI, Cloud Function, BigQuery etc.
Experience in container management solution: Kubernetes, Docker
Experience in scripting language: Bash, PowerShell etc.
Experience with Infrastructure as code: Terraform etc
Skills Preferred:
Master focused in Computer Science / Machine Learning or related field
Experience working with Google Cloud platform(Google Cloud Platform) specifically Google Kubernetes engine, Terraform, and infrastructure
Experience in programming concepts such as Paired Programming, Test Driven Development, etc.
Knowledge of coding and software craftsmanship practices.
Must be a quick learner and open to learning new technology.
Experience applying agile practices to solution delivery.
Must be team-oriented and have excellent oral and written communication skills.
Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.
Experience Preferred:
Experience and good understanding of Google Cloud Platform, DevOPs, AI/ML and GEN AI
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