Machine Learning Systems Specialist
1 week ago
We seek a seasoned professional to design, implement and manage machine learning (ML) systems. The ideal candidate will have expertise in developing, deploying, and scaling ML models on cloud platforms.
Key Responsibilities:
- Develop and deploy scalable ML models on cloud platforms (AWS/GCP)
- Create CI/CD pipelines for ML workflows using GitHub Actions/Jenkins/cloud-native tools
- Containerize and orchestrate workloads with Docker/Kubernetes; manage infrastructure via Terraform/CloudFormation
- Implement model registries, feature stores, and observability using MLflow/Feast/Prometheus/Grafana
- Collaborate with data scientists to operationalize ML models for personalization, recommendations, NLP
Required Skills & Qualifications:
- ~2+ years of experience working with ML Ops & DS
- Proficient in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data pipelines (Airflow, Spark, SQL)
- Bonus: experience with real-time ML serving, A/B testing, or media/recommender systems
Benefits:
- Award-winning organization with a strong focus on innovation and growth
- Competitive compensation package including bonus structure
- Ongoing training and development opportunities
About Us:
- Award-winning organization
- Strong focus on innovation and growth
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