Software Engineer, Backend (AI Infrastructure) at Bravo Global Staffing | Jobyssey

In this role, you will be responsible for driving the execution of crucial infrastructure and platform initiatives related to AI/ML pipelines. These pipelines are designed for highly efficient and scalable model Training, & Inference. The responsibilities include building and developing tools, automation of redundant tasks, and CI/CD systems. This role requires someone with a strong collaborative and growth mindset. You will also look after the career development of the engineering team members.

What You'll Do:

Design, develop and deploy MLOps infrastructure for to improve the velocity of development and deployment of AI and deep learning models: CI/CD, input data unit and statistical testing, experiment tracking, model registry, and monitoring and alerting of production features
Design, develop and deploy scalable cloud AI/ML pipelines for customer-facing inference and visualization services
Develop, implement and administer best MLOps practices relating to model development automation, evaluation, testing and deployment
Focus on addressing availability issues, work on scaling pipelines, and improving features while maintaining SLAs on performance, reliability, and system availability
Work with technical leads and managers to understand project requirements and business needs and collaborate with engineers across teams to identify and deliver features, services & pipelines
Collaborate with cross-functional teams such as Backend, Frontend, and Platform to ensure the development and delivery of end-to-end product features, and robust and scalable AI pipelines
Mentor junior team members

What We're Looking For:

Bachelors Degree in Computer Science, Electrical Engineering, or related field.
1-3+ years experience in designing, implementing, and operating scalable software systems and services
Hands-on experience with MLOps tools (e.g., Docker, Kubernetes, Kubeflow, Spark, Airflow, AWS, CI/CD)
Solid CS foundations including in data structures, algorithms and software engineering
Excellent verbal and written communication skills.
You collaborate effectively with other teams and communicate clearly about your work.
Knowledge of one or more of computer vision, deep learning, machine learning, or statistical and predictive modeling is a strong plus

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