What are the responsibilities and job description for the ML Engineer position at Miracle Software Systems, Inc?
We, Miracle Software Systems, are looking for an ML Engineer.
Role: Cloud Software Engineer/MLOps/AI/ML (7 years)
Location: Dearborn, Michigan
Duration: 12 Months
Skills:
GCP, Python, C/C , Bash, PowerShell.
Cloud:, Vertex AI, Cloud Function, BigQuery, GKE.
ML/AI: LLMs, RAG, Airflow, Kubeflow.
DevOps/CI/CD: Jenkins, Tekton, Terraform.
Containers: Docker, Kubernetes.
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. The Global Data Insight & Analytics organization is seeking a Software Engineer to lead and advance our internal Data Science and AI/ML platform strategy. In this role, you will be part of a dynamic, cross-functional team, collaborating closely and consistently with other engineers, business partners, product managers, and designers. You will be involved in frequent and iterative releases. Your focus will be on software engineering, specifically in developing machine learning and generative AI applications, as well as creating reusable AI/ML components. Position Responsibilities • Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform and Gen AI solution in GCP 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 / GCP/AIOPs/Kubernetes technologies
Skills Preferred:
• Master focused in Computer Science / Machine Learning or related field • Experience working with Google Cloud platform(GCP) – 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 Required:
• A Bachelor’s degree in Computer Science / Computer Engineering or similar technical discipline. • 3 years of work experience as a backend software engineer in Python with exceptional software engineering knowledge. • 2 years of experience with Cloud Engineering / Services • Experience in MLOPs and Gen AI – LLM, Development experience with building RAG and Multi Agent Application • Experience with ML workflow orchestration tools: Airflow, Kubeflow etc. • Advanced working knowledge of object-oriented/object function programming languages: Python, C/C • Experience in DevOps: Jenkins/Tekton etc. • Experience with cloud services, preferably GCP 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
