GCP MLOps engineer

Position Description: GCP MLOps Engineer
Position Overview: The clientlooking for a Machine Learning Engineer to build and drive the strategy for our internal Data Science / AI/ML platform. This role will work in a small, cross-functional team, collaborating directly and continuously with other engineers, business partners, product managers, and designers, and will release early and often. The team is focused on building the Mach1ML platform - an AI/ML enablement platform to democratize Machine Learning across theenterprise.
Position Responsibilities:

• Collaborate 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.
• Work 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 processes 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/AIOps/Kubernetes technologies.

Skills Required:

• Bachelor's degree in Computer Science / Computer Engineering or a similar technical discipline.
• 3+ years of 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.

Skills Preferred:

• 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 to understand existing bottlenecks and come up with innovative solutions.

Experience Required:

• Bachelor's degree in Computer Science / Computer Engineering or a similar technical discipline.
• 3+ years of 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.

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:

• Google Cloud Platform Engineer required.
• Hybrid position.

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 .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.