GCP/Python/ML Software Engineer - Apex Systems

Job#: 2054146

Job Description:

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.

• 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.

• 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.

• 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 and good understanding of GCP, DevOps, AI/ML, and Gen AI.

• Bachelor’s degree in Computer Science, Computer Engineering, or a similar technical discipline.

• The role is hybrid, requiring one day of onsite work per week.

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178.