Miracle Software Systems, Inc. is looking for the position of MLOps Engineer in Dearborn, Michigan. Please go through the below job description and let me know your interest with your updated resume.
Requirement Details:
Job Title: MLOps Engineer
Location: Dearborn, Michigan.
Duration: Full-time
Skills Required: backend software engineer in Python, ML workflow, Google Cloud Platform Services like Vertex AI, Cloud Function, BigQuery, DevOps: Jenkins/Tekton
Description:
Experience Required: 8+ years
"Position Description:
Cloud Software Engineer Position Overview At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow s transportation. Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform. This role will work in a small, cross-functional team. The position will collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often. The team you will be working on is focused on building Mach1ML platform an AI/ML enablement platform to democratize Machine Learning across Ford enterprise (similar to Uber s Michelangelo, Facebook s FBLearner, etc). Position Responsibilities 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 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. 2+ years of experience with Cloud Engineering / Services 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge. Experience with ML workflow orchestration tools: Airflow, Kubeflow etc. Advanced working knowledge of object-oriented/object function programming languages: Python, C/C , Julia 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 delivering cloud engineering product Experience in programming concepts such as Paired Programming, Test Driven Development, etc. Understanding of MLOPs/Machine Learning Life Cycle and common machine learning frameworks: sklearn, tensorflow, pytorch etc. is a big plus Must be a quick learner and open to learning new technology. Experience applying agile practices to solution delivery. Experience in all phases of the development lifecycle. Must be team-oriented and have excellent oral and written communication skills. Good organizational and time-management skills. Must be a self-starter to understand existing bottlenecks and come up with innovative solutions. Knowledge of coding and software craftsmanship practices.
Experience Required:
A Bachelor s degree in Computer Science / Computer Engineering or similar technical discipline. 2+ years of experience with Cloud Engineering / Services 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge. Experience with ML workflow orchestration tools: Airflow, Kubeflow etc. Advanced working knowledge of object-oriented/object function programming languages: Python, C/C , Julia 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
Experience Preferred:
Experience and good understanding of Google Cloud Platform processing /DevOPs/ Machine Learning
Education Required:
A Bachelor s degree in Computer Science / Computer Engineering or similar technical discipline.
Education Preferred:
Additional Safety Training/Licensing/Personal Protection Requirements:
Additional Information:
Google Cloud Platform Engineer test required. Hybrid Position"
This position typically requires a Bachelor's degree, usually in , Software Engineering, or a related field.
If anyone is interested please send me your updated resume to amishra1 or contact: (two four eight) - (four one two) - (zero three five four).
About Miracle Software Systems, Inc.:
Miracle Software Systems, Inc , founded in 1994, is a Global Systems Integrator specializing in ERP/ BPM (EAI/SOA) / B2B / Digital Experience Technologies and is a Minority Certified Private Business headquartered in Novi, MI USA. Over the past twenty five years, Miracle has helped numerous large and mid-sized businesses transition their IT to a Service Oriented Architecture, with IT Transformation Initiatives, deploying SAP / Oracle ERP Systems. Miracle has a global presence on four continents with multiple Global Development Centers spanning across the USA, Canada and India. Today, Miracle s team includes 2600 IT Professionals with a projected targeted expansion to 3000 by the end of 2023.
Whether it is Internal Application to Application(A2A/EAI) Integration, Process Integration(BPM), or Business to Business Integration using EDI / Web Services, API Management, Machine to Machine (M2M) Communications, Internet of Things(IOT), Cloud Integration or Mobile Application Integration, Miracle is the Systems Integrator of Choice and the Thought Leader in this industry. Miracle has been and continues to be a leader in the niche space of Business Integration and SOA services over the past 21 Years with Premier Partnerships with companies such as SAP, IBM, Oracle and Microsoft.
Note: For more information, visit our official website: