Cloud Software Engineer
2 weeks ago
Cloud Software Engineer
LOCATION:
Remote
JOB SUMMARY:
At Epitec, we are committed to advancing human mobility and innovation. We are seeking a talented Cloud Software Engineer to join our dynamic team. This role is pivotal in shaping the future of our Data Science and AI/ML initiatives.
As part of our Global Data Insight & Analytics division, you will focus on enhancing our internal AI/ML platform, driving strategic advancements in machine learning capabilities.
You will collaborate within a small, agile team, working closely with engineers, business stakeholders, product managers, and designers to deliver impactful solutions.
Your primary focus will be on developing the Mach1ML platform, an AI/ML enablement system designed to democratize machine learning across the organization.
KEY RESPONSIBILITIES:
• Collaborate with technical leads, product managers, and stakeholders to implement MLOps platforms and Generative AI solutions in cloud environments using Python and various tools.
• Partner with software engineers and data scientists to address complex AIOps and Generative AI challenges.
• Oversee and enhance the existing CI/CD ecosystem and tools.
• Identify opportunities for automation and continuous improvement in CI/CD and release processes.
• Review and troubleshoot code/scripts to resolve issues effectively.
• Contribute to the standardization of machine learning development practices.
• Foster innovation and knowledge sharing within the team.
• Lead by example in paired programming to facilitate cross-training, problem-solving, and efficient delivery.
• Utilize cutting-edge technologies in ML, Generative AI, cloud services, and container orchestration.
REQUIRED QUALIFICATIONS:
• A Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
• A minimum of 3 years of experience as a backend software engineer specializing in Python, with a strong foundation in software engineering principles.
• At least 2 years of experience in cloud engineering and services.
• Familiarity with ML workflow orchestration tools such as Airflow and Kubeflow.
• Proficient in object-oriented programming languages, particularly Python and C/C++.
• Understanding of MLOps and Generative AI is advantageous.
ADDITIONAL EXPERIENCE:
• Proficiency in DevOps practices, including tools like Jenkins and Tekton.
• Experience with cloud services, particularly Google Cloud Platform (GCP) offerings such as Vertex AI, Cloud Functions, and BigQuery.
• Knowledge of container management solutions, including Kubernetes and Docker.
• Experience with scripting languages such as Bash and PowerShell.
• Familiarity with Infrastructure as Code tools like Terraform.
WHY Epitec?
At Epitec, we prioritize placing people first. Our approach involves understanding the unique needs of our employees and clients to create the perfect match. We are dedicated to providing a comprehensive compensation package and opportunities for personal and professional growth.
Join us as we redefine the employment landscape, representing top-tier companies and connecting them with exceptional talent. Epitec has been recognized as one of the best places to work, and we continue to innovate in the employment sector.
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