| DATA SCIENTIST DevOps OR Python OR ML OR GCP, Software Engineer Senior Dearborn, MI (Day 1 Onsite OR Hybrid role ) Look for local & F2F at Dearborn, Michigan, USA |
| Email: [email protected] |
| From: chaitanya, conflux systems [email protected] Reply to: [email protected] Position : DATA SCIENTIST DevOps/Python/ML/GCP, Software Engineer Senior Location: Dearborn, MI (Day 1 Onsite/ Hybrid role ) Look for local & F2F Experience Level : 10+ Years Interview Mode : hacker rank test and L1 Interview (in person interview) Job ID: 314069 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 tomorrows 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 Ubers Michelangelo, Facebooks 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 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 / GCP/AIOPs/Kubernetes technologies Skills Required: A Bachelors 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 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 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 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 Bachelors 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 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 Experience Preferred: Experience and good understanding of GCP processing /DevOPs/ Machine Learning Education Required: A Bachelors 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 Primary Skills Required: A Bachelors 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 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 . Primary 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 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. . Education Required: A Bachelors degree in Computer Science / Computer Engineering or similar technical discipline. Education Preferred: Not Available Work Experience Required: A Bachelors 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 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 Work Experience Preferred: Experience and good understanding of GCP processing /DevOPs/ Machine Learning Keywords: cprogramm cplusplus continuous integration continuous deployment artificial intelligence machine learning Idaho Michigan DATA SCIENTIST DevOps OR Python OR ML OR GCP, Software Engineer Senior Dearborn, MI (Day 1 Onsite OR Hybrid role ) Look for local & F2F [email protected] |
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| Thu Apr 11 18:45:00 UTC 2024 |