
Machine Learning Infrastructure Specialist
8 hours ago
A seasoned Machine Learning Infrastructure Specialist is sought after to lead the development and implementation of scalable machine learning models on cloud platforms. This individual will have a strong foundation in software engineering and machine learning, with prior experience working with ML Ops & DS, deploying, monitoring, and scaling ML models on cloud platforms such as AWS or GCP.
Key Responsibilities:- Deploy, monitor, and scale ML models on cloud platforms
- Build and maintain CI/CD pipelines for ML workflows using GitHub Actions, Jenkins, or cloud-native tools
- Containerize and orchestrate workloads with Docker and Kubernetes
- Manage infrastructure via Terraform or CloudFormation
- Implement model registries, feature stores, and observability using MLflow, Feast, Prometheus, or Grafana
- Proficient in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data pipelines (Airflow, Spark, SQL)
- Experience with real-time ML serving, A/B testing, or media/recommender systems is a plus
- Nice-to-have: experience with subscription, media, or recommender systems, knowledge of experiment design and causal inference
- Exposure to real-time ML serving (KFServing, Seldon, Ray Serve) is also beneficial
- A dynamic environment that fosters collaboration and innovation
- Opportunities for growth and professional development
- Flexible work arrangements to support work-life balance
- This is an exciting opportunity to join our team as a Machine Learning Infrastructure Specialist
- As a member of our team, you will be responsible for leading the development and implementation of scalable machine learning models on cloud platforms
- You will collaborate with cross-functional teams to drive innovation and achieve business goals
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