ML Engineer
- Work closely with Tech Anchors, Product Managers, and Product Owners to deliver generative AI solutions on GCP using Python and a modern, full-stack architecture.
- Work with software and ML engineers to tackle challenging problems in building and deploying agentic AI solutions.
- Design, build, and maintain cloud infrastructure using Infrastructure as Code (IaC) principles, managing configurations for dev, staging, and prod environments.
- Maintain and manage current CI/CD ecosystem and tools.
- Find ways to automate and continually improve current CI/CD and release processes.
- Examine, inspect code and scripts, and resolve issues across the full application stack.
- Help innovate and standardize development practices for building cloud-native AI products.
- Experiment, innovate and share knowledge with the team.
- Lead by example in the use of Paired Programming and Test-Driven Development for cross-training, problem-solving, and speed to delivery.
- Leverage latest ML / GenAI / agent frameworks to build complex AI workflows.Basic Qualifications:
- A 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, with familiarity in at least one major cloud platform (GCP, AWS, Azure).
- Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, Cloud Run, BigQuery etc.
- Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++.
- Strong proficiency with web frameworks and REST API (e.g., FastAPI, Flask, Django).
- Experience/understanding in MLOPs, Gen AI, AI agents.
- Experience with ML workflow orchestration tools: Airflow, Kubeflow etc.
- Experience in DevOps and CI/CD principles: Jenkins, Tekton, Cloud Build, GitHub Actions etc.
- Experience in container management solutions: Kubernetes, Docker.
- Experience with scripting language: Bash, PowerShell etc.
- Experience with Infrastructure as Code: Terraform etc.Desired Skills:
- A Masters degree focused in Computer Science / Machine Learning or a related field.
- Experience working with Google Cloud Platform (GCP) – specifically a broad range of compute, data and messaging services like GKE, CloudSQL, BigQuery, Firestore, Pub/Sub, Memorystore, and Elasticsearch.
- Hands-on experience with agentic AI frameworks: LangChain, LangGraph, ADK, CrewAI etc.
- Experience building and deploying serverless applications on Cloud Run.
- Experience in programming concepts such as Paired Programming, Test-Driven Development, etc.
- Knowledge of coding and software craftsmanship practices.
- Must be a quick learner and open to learning new technology.
- Experience applying agile practices to solution delivery.
- Must be team-oriented and have excellent oral and written communication skills.
- Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.
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