Senior Full Stack Software Engineer

Position Description: Cloud Software Engineer Position Overview. 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 be released 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 GCP using Python and other tools for 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 manage 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 standardized 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 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 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/Tektone etc.
• Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, Big Query 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 (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/Tektone etc.
• Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, Big Query 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 GCP, DevOps, AI/ML and GEN AI Education Required: • A Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline. Education Preferred: dditional Safety Training/Licensing/Personal Protection Requirements: dditional Information: Google Cloud Platform Engineer Required Hybrid Position/ 2 days a week - onsite

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