Machine Learning Engineer

Bachelor’s /Master’s/ PhD in engineering, Computer Science, or in a related field
- Senior-level experience (8+ years) as a Software engineer or ML Engineer
- Deep and broad knowledge of: o Programming Languages: Python, SQL o ML/MLOps Frameworks: Vertex AI, MLflow, KubeFlow, Scikit-learn, TensorFlow, PyTorch o Back-End Technologies: Python frameworks (FastAPI, Flask) o Cloud Technologies: GCP (Vertex AI, BigQuery, GCS, Dataflow, Dataproc, etc.) o Deployment Practices: Docker, Kubernetes (GKE), CI/CD pipelines, Infrastructure as Code (Terraform)
- Experience with Agile software development methodologies
- Understanding/Exposure of: o CI, CD, and Test-Driven Development (GitHub, Terraform/Tekton, 42Crunch, SonarQube, FOSSA, Checkmarx etc.) o ML Lifecycle Management: Model Registry, Feature Store, and Model Monitoring (Drift and Performance detection)