GCP/Python/ML Software Engineer

Our client is looking for a Software Engineer to help build and drive the development of generative AI applications that will transform the future of mobility. In this role, you will work in a dynamic, cross-functional team, collaborating directly and continuously with engineers, business partners, product managers, and designers. You will be responsible for developing cutting-edge generative AI applications and systems that can be deployed across various domains within our client, enabling smarter decision-making, enhancing customer experiences, and optimizing operations.Position Responsibilities:Work closely with Tech Anchor, Product Manager, and Product Owner to deliver MLOps platform and Gen AI solutions in GCP using Python and other tools for data scientists and business across the company.Collaborate with software and ML engineers/Data Scientists to tackle challenging AIOps and Gen AI problems.Maintain and manage the current CI/CD ecosystem and tools.Automate and continually improve current CI/CD and release processes.Examine, inspect codes/scripts, and resolve issues.Innovate and standardize machine learning development practices.Experiment, innovate, and share knowledge with the team.Lead by example in the use of Paired Programming for cross-training/upskilling, problem-solving, and speed to delivery.Leverage the latest ML/Gen AI/GCP/Kubernetes technologies.Basic Qualifications:Bachelor’s degree in Computer Science, Computer Engineering, or a 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/Tekton, etc.Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery, etc.Experience in container management solutions: Kubernetes, Docker.Experience in scripting languages: Bash, PowerShell, etc.Experience with Infrastructure as Code: Terraform, etc.Desired Skills:Master’s degree focused on Computer Science, Machine Learning, or a 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.Quick learner and open to learning new technology.Experience applying agile practices to solution delivery.Team-oriented with excellent oral and written communication skills.Self-starter with the ability to understand existing bottlenecks and come up with innovative solutions.Experience Required:2+ 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 Preferred:Experience and good understanding of GCP, DevOps, AI/ML, and Gen AI.Education Required:Bachelor’s degree in Computer Science, Computer Engineering, or a similar technical discipline.Additional Information:The role is hybrid, requiring one day of onsite work per week.

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